new manually-created tutorial page

documentation/5/.buildinfo

@@ -1,4 +1,4 @@
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 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
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documentation/5/_downloads/1eed1518b8928bc24e721527ef1f9970/mnist_mb_classifier.ipynb

@@ -35,7 +35,7 @@
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documentation/5/_downloads/64c7fcd62013f68609d54d02d741b663/potjans_microcircuit.ipynb

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documentation/5/_downloads/f57116a727438d4e47eb66f1b799aa48/superspike_demo.ipynb

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documentation/5/_sources/tutorials/index.rst.txt

@@ -6,28 +6,131 @@ CompNeuro 101
 =============
 Building spiking neural network models in GeNN
 
-.. nbgallery::
-    :name: comp-neuro-101-gallery
-    :glob:
+Neurons
+-------
+Create a model consisting of a population of Izhikevich neurons with heterogeneous parameters, driven by a stimulus current. Simulate and record state variables.
+
+.. toctree::
+    :maxdepth: 3
+
+    comp_neuro_101/1_neurons.ipynb
+
+.. image:: https://colab.research.google.com/assets/colab-badge.svg
+   :target: https://colab.research.google.com/github/genn-team/genn/blob/genn_5/docs/tutorials/comp_neuro_101/1_neurons.ipynb
+
+Synapses
+--------
+Create a simple balanced random network with two, sparsely connected populations of leaky integrate-and-fire neurons. Simulate and record spikes.
+
+.. toctree::
+    :maxdepth: 3
 
-    comp_neuro_101/*
+    comp_neuro_101/2_synapses.ipynb
+
+.. image:: https://colab.research.google.com/assets/colab-badge.svg
+   :target: https://colab.research.google.com/github/genn-team/genn/blob/genn_5/docs/tutorials/comp_neuro_101/2_synapses.ipynb
 
 MNIST inference
 ===============
 Perform MNIST inference by converting a pre-trained ANN to an SNN
 
-.. nbgallery::
-    :name: mnist-inference-gallery
-    :glob:
+Presenting a single image
+-------------------------
+Create a simple three layer network of integrate-and-fire neurons, densely connected with pre-trained weights. Present a single MNIST image and visualise spiking activity.
+
+.. toctree::
+    :maxdepth: 3
+
+    mnist_inference/tutorial_1.ipynb
+
+.. image:: https://colab.research.google.com/assets/colab-badge.svg
+   :target: https://colab.research.google.com/github/genn-team/genn/blob/genn_5/docs/tutorials/mnist_inference/tutorial_1.ipynb
+
+Classifying entire test set
+---------------------------
+Present entire MNIST test set to previous model and calculate accuracy.
+
+.. toctree::
+    :maxdepth: 3
 
-    mnist_inference/*
+    mnist_inference/tutorial_2.ipynb
+
+.. image:: https://colab.research.google.com/assets/colab-badge.svg
+   :target: https://colab.research.google.com/github/genn-team/genn/blob/genn_5/docs/tutorials/mnist_inference/tutorial_2.ipynb
+
+
+Improve classification performance
+----------------------------------
+Use parallel batching and custom updates to improve inference performance by over 30x compared to previous tutorial.
+
+.. toctree::
+    :maxdepth: 3
+
+    mnist_inference/tutorial_3.ipynb
+
+.. image:: https://colab.research.google.com/assets/colab-badge.svg
+   :target: https://colab.research.google.com/github/genn-team/genn/blob/genn_5/docs/tutorials/mnist_inference/tutorial_3.ipynb
 
 Insect-inspired MNIST classification
 ====================================
 Train a model of the insect mushroom body using an STDP learning rule to classify MNIST.
 
-.. nbgallery::
-    :name: mushroom-body-gallery
-    :glob:
+Projection Neurons
+------------------
+Create the first layer of *Projection Neurons* which convert input images into a sparse temporal code.
+
+.. toctree::
+    :maxdepth: 3
 
-    mushroom_body/*
+    mushroom_body/1_first_layer.ipynb
+
+.. image:: https://colab.research.google.com/assets/colab-badge.svg
+   :target: https://colab.research.google.com/github/genn-team/genn/blob/genn_5/docs/tutorials/mushroom_body/1_first_layer.ipynb
+
+Kenyon Cells
+------------
+Add a second, randomly-connected layer of *Kenyon Cells* to the model.
+
+.. toctree::
+    :maxdepth: 3
+
+    mushroom_body/2_second_layer.ipynb
+
+.. image:: https://colab.research.google.com/assets/colab-badge.svg
+   :target: https://colab.research.google.com/github/genn-team/genn/blob/genn_5/docs/tutorials/mushroom_body/2_second_layer.ipynb
+
+Kenyon Cell gain control
+------------------------
+Add recurrent inhibition circuit, inspired by <i>Giant GABAergic Neuron</i> in locusts, to improve sparse coding of the Kenyon Cells.
+
+.. toctree::
+    :maxdepth: 3
+
+    mushroom_body/3_second_layer_gain_control.ipynb
+
+.. image:: https://colab.research.google.com/assets/colab-badge.svg
+   :target: https://colab.research.google.com/github/genn-team/genn/blob/genn_5/docs/tutorials/mushroom_body/3_second_layer_gain_control.ipynb
+
+Mushroom Body Output Neurons
+----------------------------
+Add *Mushroom Body Output Neurons* with STDP learning and train model on MNIST training set.
+
+.. toctree::
+    :maxdepth: 3
+
+    mushroom_body/4_third_layer.ipynb
+
+.. image:: https://colab.research.google.com/assets/colab-badge.svg
+   :target: https://colab.research.google.com/github/genn-team/genn/blob/genn_5/docs/tutorials/mushroom_body/4_third_layer.ipynb
+
+Testing
+-------
+Create a simplified copy of the model without learning, load in the trained weights and calculate inference accuracy on MNIST test set.
+
+.. toctree::
+    :maxdepth: 3
+
+    mushroom_body/5_testing.ipynb
+
+.. image:: https://colab.research.google.com/assets/colab-badge.svg
+   :target: https://colab.research.google.com/github/genn-team/genn/blob/genn_5/docs/tutorials/mushroom_body/5_testing.ipynb

documentation/5/_static/_sphinx_javascript_frameworks_compat.js

@@ -1,20 +1,9 @@
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- * ~~~~~~~~~~
- *
- * Compatability shim for jQuery and underscores.js.
- *
- * WILL BE REMOVED IN Sphinx 6.0
- * xref RemovedInSphinx60Warning
+/* Compatability shim for jQuery and underscores.js.
  *
+ * Copyright Sphinx contributors
+ * Released under the two clause BSD licence
  */
 
-/**
- * select a different prefix for underscore
- */
-$u = _.noConflict();
-
-
 /**
  * small helper function to urldecode strings
  *

documentation/5/_static/basic.css

@@ -4,7 +4,7 @@
  *
  * Sphinx stylesheet -- basic theme.
  *
- * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS.
+ * :copyright: Copyright 2007-2023 by the Sphinx team, see AUTHORS.
  * :license: BSD, see LICENSE for details.
  *
  */
@@ -324,17 +324,17 @@ aside.sidebar {
 p.sidebar-title {
     font-weight: bold;
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+
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+
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@@ -375,7 +375,6 @@ div.sidebar > :last-child,
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     padding-left: 0.5em;
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@@ -697,6 +670,16 @@ dd {
     margin-left: 30px;
 }
 
+.sig dd {
+    margin-top: 0px;
+    margin-bottom: 0px;
+}
+
+.sig dl {
+    margin-top: 0px;
+    margin-bottom: 0px;
+}
+
 dl > dd:last-child,
 dl > dd:last-child > :last-child {
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@@ -765,6 +748,14 @@ abbr, acronym {
     cursor: help;
 }
 
+.translated {
+    background-color: rgba(207, 255, 207, 0.2)
+}
+
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+    background-color: rgba(255, 207, 207, 0.2)
+}
+
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