Strategies for modelling sub-cortical processes with RNNs #110
Labels
australasia_aus
Australasia event
git_skills:1_commit_push
programming:documentation
Markdown, Sphinx
programming:Python
project_development_status:0_concept_no_content
project_type:documentation
project
status:published
status:web_ready
topic:deep_learning
topic:machine_learning
topic:neural_networks
topic:systems_neuroscience
Title
Strategies for modelling sub-cortical processes with RNNs
Leaders
Tom Close (Twitter: @tomgclose, Mattermost: @tclose, Mastodon: @[email protected])
Collaborators
No response
Brainhack Global 2022 Event
Brainhack Australasia
Project Description
This project is currently at the thought-bubble stage, but I am interested in different ways recurrent neural networks (RNNs) can be used to model interactions between sub-cortical structures such as the basal-ganglia, thalamus, red nucleus and cerebellum. Inspired by recent work proposing using cutting-edge RNNs to model interactions between sub-cortical structures I would like to explore how RNNs could be used to model other aspects of sub-cortical functions.
While there have been a number of analogies made between cortical regions and non-recurrent ANNs (e.g. convolutional neural networks and visual cortex), RNNs are almost certainly required to recapitulate the state changes and motor output driven by sub-cortical regions.
As this this project is just at conception, please feel free to find me at the Australian BrainHack to sit down and spit-ball some ideas.
Link to project repository/sources
https://github.com/tclose/bhg-subcortical-rnn
Goals for Brainhack Global
Good first issues
issue one: Read/bring some interesting papers to discuss
issue two: Bring knowledge of a particular sub-cortical pathway or cool new RNN architecture
Communication channels
https://mattermost.brainhack.org/brainhack/channels/bhg-subcortical-rnn
Skills
Onboarding documentation
Sorry, don't have this yet
What will participants learn?
Hopefully something about RNNs and sub-cortical anatomy/function
Data to use
N/A
Number of collaborators
more
Credit to collaborators
Contributors to the code repository will be listed in the AUTHORS file (when it is created) and ideally a paper could come out of this project eventually.
Image
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Type
other
Development status
0_concept_no_content
Topic
deep_learning, machine_learning, neural_networks, systems_neuroscience
Tools
other
Programming language
Python
Modalities
not_applicable
Git skills
1_commit_push
Anything else?
No response
Things to do after the project is submitted and ready to review.
Hi @brainhackorg/project-monitors my project is ready!
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