Cite A Spike In Performance in SpikingActivation

.github/workflows/ci.yml

@@ -21,6 +21,8 @@ jobs:
     timeout-minutes: 30
     steps:
       - uses: nengo/nengo-bones/actions/setup@main
+        with:
+          python-version: "3.10"
       - uses: nengo/nengo-bones/actions/generate-and-check@main
       - uses: nengo/nengo-bones/actions/run-script@main
         with:
@@ -38,7 +40,7 @@ jobs:
           - script: test
             coverage-name: oldest
             tf-version: tensorflow==2.3.4
-            python: "3.7"
+            python: "3.8"
       fail-fast: false
     env:
       TF_VERSION: ${{ matrix.tf-version || 'tensorflow' }}

LICENSE.rst

@@ -4,7 +4,7 @@
 KerasSpiking license
 ********************
 
-Copyright (c) 2020-2023 Applied Brain Research
+Copyright (c) 2020-2024 Applied Brain Research
 
 **ABR License**
 
@@ -26,3 +26,4 @@ please contact `<[email protected]>`_.
 If you have any technical support questions, please post them on the ABR
 community forums at `<https://forum.nengo.ai/>`_ or contact
 `<[email protected]>`_.
+

docs/conf.py

@@ -16,7 +16,6 @@
     "sphinx.ext.todo",
     "nbsphinx",
     "nengo_sphinx_theme",
-    "nengo_sphinx_theme.ext.backoff",
     "nengo_sphinx_theme.ext.sourcelinks",
     "notfound.extension",
     "numpydoc",
@@ -90,7 +89,7 @@
 
 project = "KerasSpiking"
 authors = "Applied Brain Research"
-copyright = "2020-2023 Applied Brain Research"
+copyright = "2020-2024 Applied Brain Research"
 version = ".".join(keras_spiking.__version__.split(".")[:2])  # Short X.Y version
 release = keras_spiking.__version__  # Full version, with tags
 
@@ -121,7 +120,7 @@
          var _paq = window._paq = window._paq || [];
          _paq.push(["setDocumentTitle", document.domain + "/" + document.title]);
          _paq.push(["setCookieDomain", "*.appliedbrainresearch.com"]);
-         _paq.push(["setDomains", ["*.appliedbrainresearch.com","*.edge.nengo.ai","*.forum.nengo.ai","*.labs.nengo.ai","*.nengo.ai"]]);
+         _paq.push(["setDomains", ["*.appliedbrainresearch.com","*.edge.nengo.ai","*.forum.nengo.ai","*.nengo.ai"]]);
          _paq.push(["enableCrossDomainLinking"]);
          _paq.push(["setDoNotTrack", true]);
          _paq.push(['trackPageView']);

keras_spiking/layers.py

@@ -223,7 +223,7 @@ class SpikingActivationCell(KerasSpikingCell):
     spiking output will be the same as the integral of the base activation output).
     Note that if the base activation is outputting a negative value then the spikes
     will have height ``-1/dt``. Multiple spikes per timestep are also possible, in
-    which case the output will be ``n/dt`` (where ``n`` is the number of spikes).
+    which case the output will be ``n/dt`` (where ``n`` is the number of spikes). [1]_
 
     Notes
     -----
@@ -256,6 +256,13 @@ class SpikingActivationCell(KerasSpikingCell):
     kwargs : dict
         Passed on to `tf.keras.layers.Layer
         <https://www.tensorflow.org/api_docs/python/tf/keras/layers/Layer>`_.
+
+    References
+    ----------
+    .. [1] Voelker, A. R., Rasmussen, D., & Eliasmith, C. (2020). A Spike in
+       Performance: Training Hybrid-Spiking Neural Networks with Quantized Activation
+       Functions. arXiv preprint arXiv:2002.03553.
+       (https://export.arxiv.org/abs/2002.03553)
     """
 
     def __init__(
@@ -387,7 +394,7 @@ class SpikingActivation(KerasSpikingLayer):
     spiking output will be the same as the integral of the base activation output).
     Note that if the base activation is outputting a negative value then the spikes
     will have height ``-1/dt``. Multiple spikes per timestep are also possible, in
-    which case the output will be ``n/dt`` (where ``n`` is the number of spikes).
+    which case the output will be ``n/dt`` (where ``n`` is the number of spikes). [1]_
 
     When applying this layer to an input, make sure that the input has a time axis
     (the ``time_major`` option controls whether it comes before or after the batch
@@ -444,6 +451,13 @@ class SpikingActivation(KerasSpikingLayer):
     kwargs : dict
         Passed on to `tf.keras.layers.Layer
         <https://www.tensorflow.org/api_docs/python/tf/keras/layers/Layer>`_.
+
+    References
+    ----------
+    .. [1] Voelker, A. R., Rasmussen, D., & Eliasmith, C. (2020). A Spike in
+       Performance: Training Hybrid-Spiking Neural Networks with Quantized Activation
+       Functions. arXiv preprint arXiv:2002.03553.
+       (https://export.arxiv.org/abs/2002.03553)
     """
 
     def __init__(

keras_spiking/version.py

@@ -22,4 +22,4 @@
 if dev is not None:
     version += ".dev%d" % dev  # pragma: no cover
 
-copyright = "Copyright (c) 2020-2023 Applied Brain Research"
+copyright = "Copyright (c) 2020-2024 Applied Brain Research"

pyproject.toml

@@ -4,7 +4,7 @@
 requires = ["setuptools<64", "wheel"]
 
 [tool.black]
-target-version = ['py36']
+target-version = ['py38']
 
 [tool.isort]
 profile = "black"

setup.py

@@ -1,5 +1,3 @@
-#!/usr/bin/env python
-
 # Automatically generated by nengo-bones, do not edit this file directly
 
 import io
@@ -75,7 +73,7 @@ def read(*filenames, **kwargs):
         "optional": optional_req,
         "tests": tests_req,
     },
-    python_requires=">=3.6",
+    python_requires=">=3.8",
     classifiers=[
         "Development Status :: 3 - Alpha",
         "Intended Audience :: Science/Research",