From cadef7f22512164d3a64c81d291aea47579c5a30 Mon Sep 17 00:00:00 2001
From: Trevor Bekolay <tbekolay@gmail.com>
Date: Fri, 28 Sep 2018 22:08:50 -0400
Subject: [PATCH] Release version 0.3.0

---
 CHANGES.rst            | 21 +++++++++++++++++++--
 nengo_loihi/builder.py |  5 +++--
 nengo_loihi/version.py |  2 +-
 3 files changed, 23 insertions(+), 5 deletions(-)

diff --git a/CHANGES.rst b/CHANGES.rst
index dad61935e..642989ed5 100644
--- a/CHANGES.rst
+++ b/CHANGES.rst
@@ -19,18 +19,35 @@ Release history
    - Removed
    - Fixed
 
-0.3.0 (unreleased)
-==================
+0.3.0 (September 28, 2018)
+==========================
 
 **Added**
 
 - Models can now use the ``nengo.SpikingRectifiedLinear`` neuron model
   on both the emulator and hardware backends.
+- Models can now run with different ``dt`` values
+  (the default is 0.001, or 1 millisecond).
 - Added support for Distributions on Connection transforms.
 
+**Changed**
+
+- Now compatible with NxSDK 0.7. We are currently not supporting
+  older versions of NxSDK, but may in the future.
+- Models will not be precomputed by default. To precompute models,
+  you must explicitly pass ``precompute=True`` to ``nengo_loihi.Simulator``.
+- Models that do not run any objects on Loihi will raise an error.
+- Ensemble intercept values are capped to 0.95 to fix issues with
+  the current discretization method.
+
 **Fixed**
 
+- Tuning curves now take into account the Loihi discretization,
+  improving accuracy on most models.
+- PES learning can now be done with multidimensional error signals.
 - Manually reset spike probes when Simulator is initialized.
+- Several fixes to filtering and connecting
+  between objects on and off chip.
 
 0.2.0 (August 27, 2018)
 =======================
diff --git a/nengo_loihi/builder.py b/nengo_loihi/builder.py
index 4e5a76f80..893b42e9a 100644
--- a/nengo_loihi/builder.py
+++ b/nengo_loihi/builder.py
@@ -119,8 +119,9 @@ def inter_rate(self, inter_rate):
     def inter_scale(self):
         """Scaling applied to input from interneurons.
 
-        Such that if all `inter_n` interneurons are firing at their max rate
-        `inter_rate`, then the total output when averaged over time will be 1.
+        Such that if all ``inter_n`` interneurons are firing at
+        their max rate ``inter_rate``, then the total output when
+        averaged over time will be 1.
         """
         return 1. / (self.dt * self.inter_rate * self.inter_n)
 
diff --git a/nengo_loihi/version.py b/nengo_loihi/version.py
index ac13761bf..0a868d956 100644
--- a/nengo_loihi/version.py
+++ b/nengo_loihi/version.py
@@ -8,7 +8,7 @@
 
 name = "nengo_loihi"
 version_info = (0, 3, 0)  # (major, minor, patch)
-dev = 0
+dev = None
 
 version = "{v}{dev}".format(v='.'.join(str(v) for v in version_info),
                             dev=('.dev%d' % dev) if dev is not None else '')