diff --git a/.gitignore b/.gitignore index e2fa6fec7..cf139a8b6 100644 --- a/.gitignore +++ b/.gitignore @@ -685,3 +685,21 @@ __pycache__ /docs/assets/Brittin2021* /docs/*_Brittin2021_data*.md /clean.sh +/docs/assets/Test_Nonpharyngeal_Chemical_Exc.json +/docs/assets/Test_Nonpharyngeal_Chemical_Exc.png +/docs/assets/Test_Nonpharyngeal_Chemical_Exc_graph.json +/docs/assets/Test_Nonpharyngeal_Chemical_Exc_graph.png +/docs/assets/Test_Nonpharyngeal_Chemical_Exc_hiveplot.json +/docs/assets/Test_Nonpharyngeal_Chemical_Exc_hiveplot.png +/docs/assets/Test_Nonpharyngeal_Chemical_Inh.json +/docs/assets/Test_Nonpharyngeal_Chemical_Inh.png +/docs/assets/Test_Nonpharyngeal_Chemical_Inh_graph.json +/docs/assets/Test_Nonpharyngeal_Chemical_Inh_graph.png +/docs/assets/Test_Nonpharyngeal_Chemical_Inh_hiveplot.json +/docs/assets/Test_Nonpharyngeal_Chemical_Inh_hiveplot.png +/docs/assets/Test_Nonpharyngeal_Electrical.json +/docs/assets/Test_Nonpharyngeal_Electrical.png +/docs/assets/Test_Nonpharyngeal_Electrical_graph.json +/docs/assets/Test_Nonpharyngeal_Electrical_graph.png +/docs/assets/Test_Nonpharyngeal_Electrical_hiveplot.json +/docs/assets/Test_Nonpharyngeal_Electrical_hiveplot.png diff --git a/cect/Analysis.py b/cect/Analysis.py new file mode 100644 index 000000000..4e6fd8045 --- /dev/null +++ b/cect/Analysis.py @@ -0,0 +1,143 @@ +import sys +import numpy as np + +from cect.Cells import get_contralateral_neuron + + +def test_bilaterals(): + from cect.White_whole import get_instance + + """ + from cect.Cook2019MaleReader import get_instance + from cect.Cook2019HermReader import get_instance + from cect.WitvlietDataReader1 import get_instance + from cect.WitvlietDataReader8 import get_instance + from cect.TestDataReader import get_instance + from cect.SpreadsheetDataReader import get_instance + from cect.Cook2020DataReader import get_instance + from cect.BrittinDataReader import get_instance + from cect.WormNeuroAtlasMAReader import get_instance + from cect.WormNeuroAtlasFuncReader import get_instance + from cect.RipollSanchezDataReader import get_instance + from cect.ConnectomeView import PHARYNX_VIEW as view + from cect.ConnectomeView import SOCIAL_VIEW as view + from cect.ConnectomeView import NEURONS_VIEW as view + from cect.ConnectomeView import RAW_VIEW as view""" + from cect.ConnectomeView import NONPHARYNGEAL_NEURONS_VIEW as view + + print( + "NOTE: For the sake of this paper, we excluded the pharyngeal neurons from the connectome data for both genders due to their distinction from the somatic nervous system." + ) + + cds = get_instance() + + cds2 = cds.get_connectome_view(view) + + synclass = "Chemical Inh" + synclass = "Chemical Exc" if "Raw" not in view.name else "Chemical" + + # synclass = "Acetylcholine" + # synclass = "Chemical" + # synclass = "Electrical" + + print(cds2.summary()) + + print("Keys: %s, plotting: %s" % (view.synclass_sets.keys(), synclass)) + + def array_info(conn_array): + nonzero = np.count_nonzero(conn_array) + print( + "- Connection - shape: %s, %i non-zero entries, %i total\n%s\n" + % ( + conn_array.shape, + nonzero, + np.sum(conn_array), + conn_array, + ) + ) + + dim = cds2.connections[synclass].shape[0] + + new_conn_array = np.zeros([dim, dim], dtype=np.float64) + array_info(new_conn_array) + + for synclass in [ + "Chemical", + "Chemical Exc", + "Chemical Inh", + "Electrical", + "Contact", + "Functional", + "Extrasynaptic", + ]: + print(" Adding conns of type: %s" % synclass) + if synclass in cds2.connections: + conns_cs = cds2.connections[synclass] + + array_info(conns_cs) + for i in range(len(conns_cs)): + for j in range(len(conns_cs[i])): + if ( + i != j + ): # Kim et al 2024: Self-connections are treated as nonexistent (∀𝐴𝑖𝑖 = 0). + new_conn_array[i, j] = ( + new_conn_array[i, j] or conns_cs[i, j] > 0 + ) + + amal = "CS+GJ" + print("Amalgamated array:") + array_info(new_conn_array) + + # fig = cds2.to_plotly_hive_plot_fig(list(view.synclass_sets.keys())[0], view) + # fig = cds2.to_plotly_graph_fig(synclass, view) + # fig = cds2.to_plotly_matrix_fig(list(view.synclass_sets.keys())[0], view) + + conn_count = 0 + symm_conn_count = 0 + + POS_ZERO_NEG_COLORMAP2 = ["red", "pink", "white", "lightblue", "blue"] + POS_ZERO_COLORMAP2 = ["white", "lightblue", "blue"] + + colormap = POS_ZERO_COLORMAP2 + + scaled_conn_array = np.array(new_conn_array) + + for i in range(len(new_conn_array)): + pre = cds2.nodes[i] + pre_ = get_contralateral_neuron(pre) + for j in range(len(new_conn_array[i])): + post = cds2.nodes[j] + post_ = get_contralateral_neuron(post) + w = new_conn_array[i][j] + if w != 0: + print(f"Connection {conn_count}:\t{pre}->{post} ({w})") + assert pre is not post + w_ = new_conn_array[cds2.nodes.index(pre_), cds2.nodes.index(post_)] + print(f" - Mirror:\t{pre_}->{post_} ({w_})\n") + symm_conn_count += w_ + if w_ == 0: + scaled_conn_array[i][j] = 0.5 + scaled_conn_array[ + cds2.nodes.index(pre_), cds2.nodes.index(post_) + ] = -1 + colormap = POS_ZERO_NEG_COLORMAP2 + conn_count += 1 + + print( + f"Of {(len(new_conn_array)**2)} possible edges, {conn_count} are connected, {symm_conn_count} are mirrored {'%.2f'%(100*symm_conn_count/conn_count)}% " + ) + + cds2.connections[amal] = scaled_conn_array + + # import plotly.io as pio + # pio.renderers.default = "browser" + if "-nogui" not in sys.argv: + # cds2.connection_number_plot + + fig = cds2.to_plotly_matrix_fig(amal, view, colormap, bold_bilaterals=True) + + fig.show() + + +if __name__ == "__main__": + test_bilaterals() diff --git a/cect/BrittinDataReader.py b/cect/BrittinDataReader.py index c7823571f..cce8b3c94 100644 --- a/cect/BrittinDataReader.py +++ b/cect/BrittinDataReader.py @@ -12,6 +12,8 @@ from cect.ConnectomeDataset import ConnectomeDataset from cect.ConnectomeDataset import get_dataset_source_on_github +from cect.Cells import is_one_of_bilateral_pair +from cect.Cells import get_contralateral_neuron import os from openpyxl import load_workbook @@ -40,7 +42,7 @@ def __init__(self, reference_graph): cells, neuron_conns = self.read_data() for conn in neuron_conns: - self.add_connection_info(conn) + self.add_connection_info(conn, check_overwritten_connections=True) def read_data(self): cells = [] @@ -50,11 +52,14 @@ def read_data(self): sheet = wb.get_sheet_by_name(self.reference_graph) + bilaterals = [] + single_cells = [] + print_("Opened sheet %s in Excel file: %s" % (sheet, filename)) - print(dir(sheet)) + # print(dir(sheet)) for row in sheet.rows: - print(row[0].value) + # print(row[0].value) if "cell_1" not in row[0].value: delta = int(row[3].value) if delta == 4: @@ -64,8 +69,10 @@ def read_data(self): syntype = "Contact" synclass = "%s%s" % (self.reference_graph, row[3].value) synclass = "Contact" + ci = ConnectionInfo(pre, post, num, syntype, synclass) - print("Adding %s" % ci) + conns.append(ci) + ci = ConnectionInfo(post, pre, num, syntype, synclass) conns.append(ci) if pre not in cells: @@ -73,6 +80,29 @@ def read_data(self): if post not in cells: cells.append(post) + pre_ = get_contralateral_neuron(pre) + post_ = get_contralateral_neuron(post) + ci_ = ConnectionInfo(pre_, post_, num, syntype, synclass) + conns.append(ci_) + ci_ = ConnectionInfo(post_, pre_, num, syntype, synclass) + conns.append(ci_) + + if pre_ not in cells: + cells.append(pre_) + if post_ not in cells: + cells.append(post_) + + for cell in cells: + if is_one_of_bilateral_pair(cell): + bilaterals.append(cell) + else: + single_cells.append(cell) + + print_( + "Finished processing %i cells, %i bilateral and %i single cells: %s" + % (len(cells), len(bilaterals), len(single_cells), sorted(single_cells)) + ) + return cells, conns diff --git a/cect/CellInfo.py b/cect/CellInfo.py index cc4dea182..9d0e6f242 100644 --- a/cect/CellInfo.py +++ b/cect/CellInfo.py @@ -247,6 +247,7 @@ def generate_cell_info_pages(connectomes): ) reference_cs = "Cook2019Male" if is_male_specific_cell(cell) else "Cook2019Herm" + # reference_cs = "White_whole" reference_gj = reference_cs reference_mono = "Bentley2016_MA" @@ -262,8 +263,7 @@ def generate_cell_info_pages(connectomes): conns_to_pep = "???" conns_from_func = "???" conns_to_func = "???" - conns_from_cont = "???" - conns_to_cont = "???" + conns_cont = "???" conns_gj = "???" tables_md = "" @@ -303,7 +303,7 @@ def generate_cell_info_pages(connectomes): if cds_name == reference_func: conns_to_func = _get_top_list(conns, max_conn_cells) if cds_name == reference_cont: - conns_to_cont = _get_top_list(conns, max_conn_cells) + conns_cont = _get_top_list(conns, max_conn_cells) for c in conns: cc = get_cell_internal_link( @@ -352,7 +352,7 @@ def generate_cell_info_pages(connectomes): if cds_name == reference_func: conns_from_func = _get_top_list(conns, max_conn_cells) if cds_name == reference_cont: - conns_from_cont = _get_top_list(conns, max_conn_cells) + pass # same as to... for c in conns: cc = get_cell_internal_link( @@ -382,24 +382,26 @@ def generate_cell_info_pages(connectomes):
Chemical | +Electrical | {conns_gj} | +|||||||||
\u2195 | +|||||||||||
Chemical | {conns_to_cs} | \u2198 | {cell_link} | \u2197 | {conns_from_cs} | ||||||
Monoaminergic | {conns_to_mono} | → | → | {conns_from_mono} | -|||||||
Peptidergic | {conns_to_pep} | → | → | {conns_from_pep} | +Monoaminergic | {conns_to_mono} | → | → | {conns_from_mono} | ||
Functional | {conns_to_func} | → | → | {conns_from_func} | +Peptidergic | {conns_to_pep} | → | → | {conns_from_pep} | ||
Contactome | {conns_to_cont} | \u2197 | \u2198 | {conns_from_cont} | +Functional | {conns_to_func} | → | → | {conns_from_func} | ||
\u2195 | |||||||||||
Electrical | {conns_gj} | +Contactomic | {conns_cont} |
{reader_module.READER_DESCRIPTION}. {reader_info}
\n' - - f.write( - """ - -!!! tip "Choose View" + reader_class = reader_module.__name__.split(".")[1] + reader_info = f'Python Reader: {reader_class}' + desc_full = f"{dp}{reader_module.READER_DESCRIPTION}. {reader_info}\n" + + f.write( + """ + + %s """ - ) + % desc_full + ) - for viewb in ALL_VIEWS: - viewb_prefix = ( - "" if viewb.id == "Raw" else "%s_" % viewb.id + f.write( + """ + +!!! abstract inline "Choose Graph type" + + """ ) f.write( - '%s %s%s%s' + '%s Graph%s - ' % ( - "" if view.id == viewb.id else "", - viewb_prefix, + "" if graph else "", + view_prefix, reader_pages[reader_name], - "_graph" - if graph - else ("_hiveplot" if hiveplot else ""), - viewb.name, - "" if view.id == viewb.id else "", - "" if "Fig 3" in view.name else " - ", + "" if graph else "", + ) + ) + f.write( + '%s Matrix%s - ' + % ( + "" if matrix else "", + view_prefix, + reader_pages[reader_name], + "" if matrix else "", + ) + ) + f.write( + '%s Hive plot%s \n\n' + % ( + "" if hiveplot else "", + view_prefix, + reader_pages[reader_name], + "" if hiveplot else "", ) ) - f.write( - """ - %s + cv = connectome.get_connectome_view(view) -!!! abstract "Choose Graph type" + f.write( + """ +!!! tip "Choose View" """ - % view.description - ) - - f.write( - '%s Graph%s - ' - % ( - "" if graph else "", - view_prefix, - reader_pages[reader_name], - "" if graph else "", - ) - ) - f.write( - '%s Matrix%s - ' - % ( - "" if matrix else "", - view_prefix, - reader_pages[reader_name], - "" if matrix else "", ) - ) - f.write( - '%s Hive plot%s \n\n' - % ( - "" if hiveplot else "", - view_prefix, - reader_pages[reader_name], - "" if hiveplot else "", - ) - ) - - cv = connectome.get_connectome_view(view) - # f.write('=== "%s"\n' % view.name) - f.write( - """ -\n' + STYLE = '"width:80px;font-family:Arial"' + font_size = "190%" + table_html += f' |
---|
\n' readers_to_include = [] for reader_name, reader_info in readers.items(): - if "Test" not in reader_name and "SSData" not in reader_name: + if ( + "Test" not in reader_name + and "SSData" not in reader_name + and "Witvliet2" not in reader_name + and "Witvliet3" not in reader_name + and "Witvliet4" not in reader_name + and "Witvliet7" not in reader_name + and "WormNeuroAtlas" not in reader_name + and "RipollSanchezMidRange" not in reader_name + and "RipollSanchezLongRange" not in reader_name + ): readers_to_include.append(reader_name) + better_names = {} for reader_name in readers_to_include: better_name = ( reader_name.replace("_", " ") .replace("201", " 201") .replace("202", " 202") - .replace("chez", "chez ") + .replace("Sanchez", " Sanchez et al. 2023 ") + .replace("tley", "tley et al.") + .replace("Cook", "Cook et al.") + .replace("ttin", "ttin et al.") .replace("19", "19 ") .replace("liet", "liet ") .replace("MA", "Monoamin.") .replace("PEP", "Peptid.") + .replace("ite A", "ite et al. 1986 N2U/Adult") + .replace("ite L4", "ite et al. 1986 JSU/L4") + .replace("ite whole", "ite et al. 1986 Whole worm") + .replace("Randi", "Randi et al.") + .replace("Varshney", "Varshney et al. 2011") + .replace("Witvliet 1", "Witvliet et al. 2021 1 (L1)") + .replace("Witvliet 5", "Witvliet et al. 2021 5 (L2)") + .replace("Witvliet 6", "Witvliet et al. 2021 6 (L3)") + .replace("Witvliet 8", "Witvliet et al. 2021 8 (Adult)") ) - table_html += f' | {better_name} | \n' + better_names[reader_name] = better_name + + # table_html += f'{better_name} | \n' for group in COOK_GROUPING_1: - table_html += f'
---|---|---|
{group}\n' + table_html += f' | {group} | \n' + + for reader_name in readers_to_include: + table_html += f'|
{better_names[reader_name]}\n' + + for group in COOK_GROUPING_1: + # table_html += f' | ||
{group}\n'
- for reader_name in readers_to_include:
connectome = all_connectomes[reader_name]
cells_here = ""
for cell in sorted(COOK_GROUPING_1[group]):
@@ -589,16 +624,16 @@ def generate_comparison_page(quick: bool, color_table=True):
else:
pass # cells_here+=' ")[-1]).count(" ") > 9: + if (cells_here.split(" ")[-1]).count(" ") > 14: cells_here += " \n" - table_html += f" | {cells_here}\n" + table_html += f' | {cells_here}\n' table_html += " |
- | White A | -White L4 | -White whole | -Varshney | -Bentley 2016 Monoamin. | -Bentley 2016 Peptid. | -Cook 2019 Herm | -Cook 2019 Male | -Cook 2020 | -Brittin 2021 | -Witvliet 1 | -Witvliet 2 | -Witvliet 3 | -Witvliet 4 | -Witvliet 5 | -Witvliet 6 | -Witvliet 7 | -Witvliet 8 | -WormNeuroAtlas | -Randi 2023 | -RipollSanchez ShortRange | -RipollSanchez MidRange | -RipollSanchez LongRange | ++ | Pharyngeal neurons | +Sensory neurons | +Interneurons | +Motorneurons | +Unknown function neurons | +Body wall muscles | +Other muscles | +Other cells | +Male specific neurons | +Male specific muscles | +Male other cells |
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Pharyngeal neurons - | - | - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - - | - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - - | - | - | - | - | - | - | - | - | - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | White et al. 1986 N2U/Adult + | + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ + | + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | + | + | |
Sensory neurons - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | White et al. 1986 JSU/L4 + | + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ - | - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ + | + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ + | + | ⬮ ⬮ ⬮ ⬮ ⬮ + | + | + | |
Interneurons - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - - | ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ + | White et al. 1986 Whole worm + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | + | + | ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | + | + | |
Motorneurons - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | Varshney et al. 2011 + | + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | + | + | + | + | + | + | + | ||||||||||||||||||
Bentley et al. 2016 Monoamin. + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | + | + | + | + | + | + | |||||||
Unknown function neurons - | - | - | - | - | - | - | ⬮ ⬮ - | ⬮ ⬮ - | - | - | - | - | - | - | - | ⬮ - | ⬮ - | - | - | - | ⬮ ⬮ - | ⬮ ⬮ - | ⬮ ⬮ + | Bentley et al. 2016 Peptid. + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | + | + | + | + | + | + | |
Body wall muscles - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ - | - | - | - | - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | Cook et al. 2019 Herm + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | - | - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ - | - | - | - | - | + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | + | + | |
Other muscles - | - | - | ⬮ ⬮ ⬮ - | - | - | - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - - | - | - | - | - | - | - | - | - | - | - | - | - | - | + | Cook et al. 2019 Male + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ + | ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ |
Other cells - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | - | - | - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | Cook et al. 2020 + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ + | + | ⬮ ⬮ + | + | + | + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ - | - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | - | - | - | - | + | + | + | + |
Brittin et al. 2021 + | + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ + | + | + | + | + | + | + | + | ||||||||||||||||||||||||
Witvliet et al. 2021 1 (L1) + | + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ + | + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ + | + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | + | + | |||||||||||||||||||||||||
Male specific neurons - | - | - | - | - | - | - | - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | + | Witvliet et al. 2021 5 (L2) + | + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ + | + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | + | + | |
Male specific muscles - | - | - | - | - | - | - | - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | + | Witvliet et al. 2021 6 (L3) + | + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ + | ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ + | + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | + | + | + |
Witvliet et al. 2021 8 (Adult) + | + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ + | + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | + | + | + | ||||||||||||||||||||||||
Randi et al. 2023 + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | + | + | + | + | + | + | |||||||||||||||||||||||||
Male other cells - | - | - | - | - | - | - | - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | + | Ripoll Sanchez et al. 2023 ShortRange + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ + | + | + | + | + | + |
- | White A | -White L4 | -White whole | -Varshney | -Bentley 2016 Monoamin. | -Bentley 2016 Peptid. | -Cook 2019 Herm | -Cook 2019 Male | -Cook 2020 | -Brittin 2021 | -Witvliet 1 | -Witvliet 2 | -Witvliet 3 | -Witvliet 4 | -Witvliet 5 | -Witvliet 6 | -Witvliet 7 | -Witvliet 8 | -WormNeuroAtlas | -Randi 2023 | -RipollSanchez ShortRange | -RipollSanchez MidRange | -RipollSanchez LongRange | ++ | Pharyngeal neurons | +Sensory neurons | +Interneurons | +Motorneurons | +Unknown function neurons | +Body wall muscles | +Other muscles | +Other cells | +Male specific neurons | +Male specific muscles | +Male other cells |
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Pharyngeal neurons - | - | - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - - | - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - - | - | - | - | - | - | - | - | - | - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | White et al. 1986 N2U/Adult + | + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ + | + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | + | + | |
Sensory neurons - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | White et al. 1986 JSU/L4 + | + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ - | - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ + | + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ + | + | ⬮ ⬮ ⬮ ⬮ ⬮ + | + | + | |
Interneurons - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - - | ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ + | White et al. 1986 Whole worm + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | + | + | ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | + | + | |
Motorneurons - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | Varshney et al. 2011 + | + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | + | + | + | + | + | + | + | ||||||||||||||||||
Bentley et al. 2016 Monoamin. + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | + | + | + | + | + | + | |||||||
Unknown function neurons - | - | - | - | - | - | - | ⬮ ⬮ - | ⬮ ⬮ - | - | - | - | - | - | - | - | ⬮ - | ⬮ - | - | - | - | ⬮ ⬮ - | ⬮ ⬮ - | ⬮ ⬮ + | Bentley et al. 2016 Peptid. + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | + | + | + | + | + | + | |
Body wall muscles - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ - | - | - | - | - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | Cook et al. 2019 Herm + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | - | - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ - | - | - | - | - | + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | + | + | |
Other muscles - | - | - | ⬮ ⬮ ⬮ - | - | - | - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - - | - | - | - | - | - | - | - | - | - | - | - | - | - | + | Cook et al. 2019 Male + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ + | ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ |
Other cells - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | - | - | - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | Cook et al. 2020 + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ + | + | ⬮ ⬮ + | + | + | + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ - | - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | - | - | - | - | + | + | + | + |
Brittin et al. 2021 + | + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ + | + | + | + | + | + | + | + | ||||||||||||||||||||||||
Witvliet et al. 2021 1 (L1) + | + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ + | + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ + | + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | + | + | |||||||||||||||||||||||||
Male specific neurons - | - | - | - | - | - | - | - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | + | Witvliet et al. 2021 5 (L2) + | + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ + | + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | + | + | |
Male specific muscles - | - | - | - | - | - | - | - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | + | Witvliet et al. 2021 6 (L3) + | + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ + | ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ + | + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | + | + | + |
Witvliet et al. 2021 8 (Adult) + | + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ + | + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | + | + | + | ||||||||||||||||||||||||
Randi et al. 2023 + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | + | + | + | + | + | + | |||||||||||||||||||||||||
Male other cells - | - | - | - | - | - | - | - | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ -⬮ ⬮ ⬮ ⬮ - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | + | Ripoll Sanchez et al. 2023 ShortRange + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ +⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ ⬮ + | ⬮ ⬮ + | + | + | + | + | + |
Dummy dataset used for testing webpage/graph generation. Do not assume any of these connections are correct!. Reader: TestDataReader
+ Raw Data Neurons Pharynx Social Network Escape Response Circuit Cook 2019 Fig 3 Peptidergic Hubs + A view of the data set with neurons grouped as in Figure 3 of Cook et al. 2019 === "Chemical"Dummy dataset used for testing webpage/graph generation. Do not assume any of these connections are correct!. Reader: TestDataReader
+ Raw Data Neurons Pharynx Social Network Escape Response Circuit Cook 2019 Fig 3 Peptidergic Hubs + A view of the data set with neurons grouped as in Figure 3 of Cook et al. 2019 === "Chemical" ```plotly diff --git a/docs/Full1_Test_data_hiveplot.md b/docs/Full1_Test_data_hiveplot.md index 4c4eb751c..bb8e56591 100644 --- a/docs/Full1_Test_data_hiveplot.md +++ b/docs/Full1_Test_data_hiveplot.md @@ -5,25 +5,25 @@ search: --- -!!! example inline "Choose Dataset" +!!! example "Choose Dataset" White_A White_L4 White_whole Varshney Bentley2016_MA Bentley2016_PEP Cook2019Herm Cook2019Male Cook2020 Brittin2021 Witvliet1 Witvliet2 Witvliet3 Witvliet4 Witvliet5 Witvliet6 Witvliet7 Witvliet8 WormNeuroAtlas Randi2023 RipollSanchezShortRange RipollSanchezMidRange RipollSanchezLongRange Test SSData UpdSSData UpdSSData2 - -!!! tip "Choose View" - Raw Data Neurons Pharynx Social Network Escape Response Circuit Cook 2019 Fig 3 Peptidergic Hubs + Dummy dataset used for testing webpage/graph generation. Do not assume any of these connections are correct!. Python Reader: TestDataReader - A view of the data set with neurons grouped as in Figure 3 of Cook et al. 2019 -!!! abstract "Choose Graph type" + + +!!! abstract inline "Choose Graph type" Graph - Matrix - Hive plot -Dummy dataset used for testing webpage/graph generation. Do not assume any of these connections are correct!. Reader: TestDataReader
+ Raw Data Neurons Pharynx Social Network Escape Response Circuit Cook 2019 Fig 3 Peptidergic Hubs + A view of the data set with neurons grouped as in Figure 3 of Cook et al. 2019 === "Chemical"Dummy dataset used for testing webpage/graph generation. Do not assume any of these connections are correct!. Reader: TestDataReader
+ Raw Data - Neurons - Pharynx - Social Network - Escape Response Circuit - Cook 2019 Fig 3 - Peptidergic Hubs - + All 302 hermaphrodite neurons (whether present or not in the connectome dataset) === "Chemical Exc"Dummy dataset used for testing webpage/graph generation. Do not assume any of these connections are correct!. Reader: TestDataReader
+ Raw Data - Neurons - Pharynx - Social Network - Escape Response Circuit - Cook 2019 Fig 3 - Peptidergic Hubs - + All 302 hermaphrodite neurons (whether present or not in the connectome dataset) === "Chemical Exc" ```plotly diff --git a/docs/Neurons_Test_data_hiveplot.md b/docs/Neurons_Test_data_hiveplot.md index 44e6d7ff3..18a766bcb 100644 --- a/docs/Neurons_Test_data_hiveplot.md +++ b/docs/Neurons_Test_data_hiveplot.md @@ -5,25 +5,25 @@ search: --- -!!! example inline "Choose Dataset" +!!! example "Choose Dataset" White_A White_L4 White_whole Varshney Bentley2016_MA Bentley2016_PEP Cook2019Herm Cook2019Male Cook2020 Brittin2021 Witvliet1 Witvliet2 Witvliet3 Witvliet4 Witvliet5 Witvliet6 Witvliet7 Witvliet8 WormNeuroAtlas Randi2023 RipollSanchezShortRange RipollSanchezMidRange RipollSanchezLongRange Test SSData UpdSSData UpdSSData2 - -!!! tip "Choose View" - Raw Data - Neurons - Pharynx - Social Network - Escape Response Circuit - Cook 2019 Fig 3 - Peptidergic Hubs - + Dummy dataset used for testing webpage/graph generation. Do not assume any of these connections are correct!. Python Reader: TestDataReader - All 302 hermaphrodite neurons (whether present or not in the connectome dataset) -!!! abstract "Choose Graph type" + + +!!! abstract inline "Choose Graph type" Graph - Matrix - Hive plot -Dummy dataset used for testing webpage/graph generation. Do not assume any of these connections are correct!. Reader: TestDataReader
+ Raw Data - Neurons - Pharynx - Social Network - Escape Response Circuit - Cook 2019 Fig 3 - Peptidergic Hubs - + All 302 hermaphrodite neurons (whether present or not in the connectome dataset) === "Chemical Exc"Dummy dataset used for testing webpage/graph generation. Do not assume any of these connections are correct!. Reader: TestDataReader
+ Raw Data - Neurons - Pharynx - Social Network - Escape Response Circuit - Cook 2019 Fig 3 - Peptidergic Hubs - + Peptidergic hubs as outlined in in [Ripoll-Sánchez et al. 2023](../RipollSanchez_2023.md), Fig 7E === "Chemical Exc"Dummy dataset used for testing webpage/graph generation. Do not assume any of these connections are correct!. Reader: TestDataReader
+ Raw Data - Neurons - Pharynx - Social Network - Escape Response Circuit - Cook 2019 Fig 3 - Peptidergic Hubs - + Peptidergic hubs as outlined in in [Ripoll-Sánchez et al. 2023](../RipollSanchez_2023.md), Fig 7E === "Chemical Exc" ```plotly diff --git a/docs/PeptidergicHubs_Test_data_hiveplot.md b/docs/PeptidergicHubs_Test_data_hiveplot.md index 3d8017afd..f475e8d5d 100644 --- a/docs/PeptidergicHubs_Test_data_hiveplot.md +++ b/docs/PeptidergicHubs_Test_data_hiveplot.md @@ -5,25 +5,25 @@ search: --- -!!! example inline "Choose Dataset" +!!! example "Choose Dataset" White_A White_L4 White_whole Varshney Bentley2016_MA Bentley2016_PEP Cook2019Herm Cook2019Male Cook2020 Brittin2021 Witvliet1 Witvliet2 Witvliet3 Witvliet4 Witvliet5 Witvliet6 Witvliet7 Witvliet8 WormNeuroAtlas Randi2023 RipollSanchezShortRange RipollSanchezMidRange RipollSanchezLongRange Test SSData UpdSSData UpdSSData2 - -!!! tip "Choose View" - Raw Data - Neurons - Pharynx - Social Network - Escape Response Circuit - Cook 2019 Fig 3 - Peptidergic Hubs - + Dummy dataset used for testing webpage/graph generation. Do not assume any of these connections are correct!. Python Reader: TestDataReader - Peptidergic hubs as outlined in in [Ripoll-Sánchez et al. 2023](../RipollSanchez_2023.md), Fig 7E -!!! abstract "Choose Graph type" + + +!!! abstract inline "Choose Graph type" Graph - Matrix - Hive plot -Dummy dataset used for testing webpage/graph generation. Do not assume any of these connections are correct!. Reader: TestDataReader
+ Raw Data - Neurons - Pharynx - Social Network - Escape Response Circuit - Cook 2019 Fig 3 - Peptidergic Hubs - + Peptidergic hubs as outlined in in [Ripoll-Sánchez et al. 2023](../RipollSanchez_2023.md), Fig 7E === "Chemical Exc" No plottable connections of this type... === "Chemical Inh" diff --git a/docs/Pharynx_Test_data.md b/docs/Pharynx_Test_data.md index b65b4ef3e..91d8711e8 100644 --- a/docs/Pharynx_Test_data.md +++ b/docs/Pharynx_Test_data.md @@ -5,25 +5,25 @@ search: --- -!!! example inline "Choose Dataset" +!!! example "Choose Dataset" White_A White_L4 White_whole Varshney Bentley2016_MA Bentley2016_PEP Cook2019Herm Cook2019Male Cook2020 Brittin2021 Witvliet1 Witvliet2 Witvliet3 Witvliet4 Witvliet5 Witvliet6 Witvliet7 Witvliet8 WormNeuroAtlas Randi2023 RipollSanchezShortRange RipollSanchezMidRange RipollSanchezLongRange Test SSData UpdSSData UpdSSData2 - -!!! tip "Choose View" - Raw Data - Neurons - Pharynx - Social Network - Escape Response Circuit - Cook 2019 Fig 3 - Peptidergic Hubs - + Dummy dataset used for testing webpage/graph generation. Do not assume any of these connections are correct!. Python Reader: TestDataReader - Only the 20 neurons of the pharynx (whether present or not in the connectome dataset) -!!! abstract "Choose Graph type" + + +!!! abstract inline "Choose Graph type" Graph - Matrix - Hive plot -Dummy dataset used for testing webpage/graph generation. Do not assume any of these connections are correct!. Reader: TestDataReader
+ Raw Data - Neurons - Pharynx - Social Network - Escape Response Circuit - Cook 2019 Fig 3 - Peptidergic Hubs - + Only the 20 neurons of the pharynx (whether present or not in the connectome dataset) === "Chemical Exc"Dummy dataset used for testing webpage/graph generation. Do not assume any of these connections are correct!. Reader: TestDataReader
+ Raw Data - Neurons - Pharynx - Social Network - Escape Response Circuit - Cook 2019 Fig 3 - Peptidergic Hubs - + Only the 20 neurons of the pharynx (whether present or not in the connectome dataset) === "Chemical Exc" ```plotly diff --git a/docs/Pharynx_Test_data_hiveplot.md b/docs/Pharynx_Test_data_hiveplot.md index 7fa3c4e1c..c7cde136c 100644 --- a/docs/Pharynx_Test_data_hiveplot.md +++ b/docs/Pharynx_Test_data_hiveplot.md @@ -5,25 +5,25 @@ search: --- -!!! example inline "Choose Dataset" +!!! example "Choose Dataset" White_A White_L4 White_whole Varshney Bentley2016_MA Bentley2016_PEP Cook2019Herm Cook2019Male Cook2020 Brittin2021 Witvliet1 Witvliet2 Witvliet3 Witvliet4 Witvliet5 Witvliet6 Witvliet7 Witvliet8 WormNeuroAtlas Randi2023 RipollSanchezShortRange RipollSanchezMidRange RipollSanchezLongRange Test SSData UpdSSData UpdSSData2 - -!!! tip "Choose View" - Raw Data - Neurons - Pharynx - Social Network - Escape Response Circuit - Cook 2019 Fig 3 - Peptidergic Hubs - + Dummy dataset used for testing webpage/graph generation. Do not assume any of these connections are correct!. Python Reader: TestDataReader - Only the 20 neurons of the pharynx (whether present or not in the connectome dataset) -!!! abstract "Choose Graph type" + + +!!! abstract inline "Choose Graph type" Graph - Matrix - Hive plot -Dummy dataset used for testing webpage/graph generation. Do not assume any of these connections are correct!. Reader: TestDataReader
+ Raw Data - Neurons - Pharynx - Social Network - Escape Response Circuit - Cook 2019 Fig 3 - Peptidergic Hubs - + Only the 20 neurons of the pharynx (whether present or not in the connectome dataset) === "Chemical Exc"Dummy dataset used for testing webpage/graph generation. Do not assume any of these connections are correct!. Reader: TestDataReader
+ Raw Data - Neurons - Pharynx - Social Network - Escape Response Circuit - Cook 2019 Fig 3 - Peptidergic Hubs - + Hub and spoke circuit for social behavior as in Macosko et al. 2009 === "Chemical Exc"Dummy dataset used for testing webpage/graph generation. Do not assume any of these connections are correct!. Reader: TestDataReader
+ Raw Data - Neurons - Pharynx - Social Network - Escape Response Circuit - Cook 2019 Fig 3 - Peptidergic Hubs - + Hub and spoke circuit for social behavior as in Macosko et al. 2009 === "Chemical Exc" ```plotly diff --git a/docs/Social_Test_data_hiveplot.md b/docs/Social_Test_data_hiveplot.md index 1c9be898b..243e5f354 100644 --- a/docs/Social_Test_data_hiveplot.md +++ b/docs/Social_Test_data_hiveplot.md @@ -5,25 +5,25 @@ search: --- -!!! example inline "Choose Dataset" +!!! example "Choose Dataset" White_A White_L4 White_whole Varshney Bentley2016_MA Bentley2016_PEP Cook2019Herm Cook2019Male Cook2020 Brittin2021 Witvliet1 Witvliet2 Witvliet3 Witvliet4 Witvliet5 Witvliet6 Witvliet7 Witvliet8 WormNeuroAtlas Randi2023 RipollSanchezShortRange RipollSanchezMidRange RipollSanchezLongRange Test SSData UpdSSData UpdSSData2 - -!!! tip "Choose View" - Raw Data - Neurons - Pharynx - Social Network - Escape Response Circuit - Cook 2019 Fig 3 - Peptidergic Hubs - + Dummy dataset used for testing webpage/graph generation. Do not assume any of these connections are correct!. Python Reader: TestDataReader - Hub and spoke circuit for social behavior as in Macosko et al. 2009 -!!! abstract "Choose Graph type" + + +!!! abstract inline "Choose Graph type" Graph - Matrix - Hive plot -Dummy dataset used for testing webpage/graph generation. Do not assume any of these connections are correct!. Reader: TestDataReader
+ Raw Data - Neurons - Pharynx - Social Network - Escape Response Circuit - Cook 2019 Fig 3 - Peptidergic Hubs - + Hub and spoke circuit for social behavior as in Macosko et al. 2009 === "Chemical Exc"Dummy dataset used for testing webpage/graph generation. Do not assume any of these connections are correct!. Reader: TestDataReader
+ Raw Data - Neurons - Pharynx - Social Network - Escape Response Circuit - Cook 2019 Fig 3 - Peptidergic Hubs - + All of the cells present in the original connectome dataset === "Chemical"Dummy dataset used for testing webpage/graph generation. Do not assume any of these connections are correct!. Reader: TestDataReader
+ Raw Data - Neurons - Pharynx - Social Network - Escape Response Circuit - Cook 2019 Fig 3 - Peptidergic Hubs - + All of the cells present in the original connectome dataset === "Chemical" ```plotly diff --git a/docs/Test_data_hiveplot.md b/docs/Test_data_hiveplot.md index 9143745cd..9b3aeb518 100644 --- a/docs/Test_data_hiveplot.md +++ b/docs/Test_data_hiveplot.md @@ -5,25 +5,25 @@ search: --- -!!! example inline "Choose Dataset" +!!! example "Choose Dataset" White_A White_L4 White_whole Varshney Bentley2016_MA Bentley2016_PEP Cook2019Herm Cook2019Male Cook2020 Brittin2021 Witvliet1 Witvliet2 Witvliet3 Witvliet4 Witvliet5 Witvliet6 Witvliet7 Witvliet8 WormNeuroAtlas Randi2023 RipollSanchezShortRange RipollSanchezMidRange RipollSanchezLongRange Test SSData UpdSSData UpdSSData2 - -!!! tip "Choose View" - Raw Data - Neurons - Pharynx - Social Network - Escape Response Circuit - Cook 2019 Fig 3 - Peptidergic Hubs - + Dummy dataset used for testing webpage/graph generation. Do not assume any of these connections are correct!. Python Reader: TestDataReader - All of the cells present in the original connectome dataset -!!! abstract "Choose Graph type" + + +!!! abstract inline "Choose Graph type" Graph - Matrix - Hive plot -Dummy dataset used for testing webpage/graph generation. Do not assume any of these connections are correct!. Reader: TestDataReader
+ Raw Data - Neurons - Pharynx - Social Network - Escape Response Circuit - Cook 2019 Fig 3 - Peptidergic Hubs - + All of the cells present in the original connectome dataset === "Chemical"