From ba7c1a5fee52fa3e2f47f84be9619c7b15173f87 Mon Sep 17 00:00:00 2001 From: Daniel Date: Mon, 22 Apr 2024 11:21:35 -0400 Subject: [PATCH 1/5] add ref to plasticity in parallel computing guide --- doc/htmldoc/hpc/parallel_computing.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/htmldoc/hpc/parallel_computing.rst b/doc/htmldoc/hpc/parallel_computing.rst index 93cfc0d4b9..6d24b365cc 100644 --- a/doc/htmldoc/hpc/parallel_computing.rst +++ b/doc/htmldoc/hpc/parallel_computing.rst @@ -161,7 +161,7 @@ Spikes between neurons and devices Synaptic plasticity models ~~~~~~~~~~~~~~~~~~~~~~~~~~ -For synapse models supporting plasticity, synapse dynamics in the +For synapse models supporting :hxt_ref:`plasticity`, synapse dynamics in the ``Connection`` object are always handled by the virtual process of the `target node`. From f939ffd76501ec4265438336530613c10a79e649 Mon Sep 17 00:00:00 2001 From: Daniel Date: Mon, 22 Apr 2024 11:39:52 -0400 Subject: [PATCH 2/5] add plasticity ref to synapse spec --- doc/htmldoc/synapses/synapse_specification.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/htmldoc/synapses/synapse_specification.rst b/doc/htmldoc/synapses/synapse_specification.rst index f12abd2b95..b11d370ea9 100644 --- a/doc/htmldoc/synapses/synapse_specification.rst +++ b/doc/htmldoc/synapses/synapse_specification.rst @@ -450,7 +450,7 @@ NEST provides a number of built-in synapse models that can be used during connection setup. The default model is the :hxt_ref:`static_synapse`, whose only parameters ``weight`` and ``delay`` do not change over time. Other synapse models implement learning and adaptation in the -form of long-term or short-term plasticity. A list of available +form of long-term or short-term :hxt_ref:`plasticity`. A list of available synapse models is accessible via the command ``nest.synapse_models``. More detailed information about each of them can be found in the :doc:`model directory <../models/index_synapse>`. From 03d3888325b9a8e0955ef54f6b4cfedd0f981447 Mon Sep 17 00:00:00 2001 From: Daniel Date: Mon, 22 Apr 2024 12:01:01 -0400 Subject: [PATCH 3/5] add ref to point neuron in music tutorial 1 --- doc/htmldoc/tutorials/music_tutorial/music_tutorial_1.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/htmldoc/tutorials/music_tutorial/music_tutorial_1.rst b/doc/htmldoc/tutorials/music_tutorial/music_tutorial_1.rst index e4733dc189..5089b9d324 100644 --- a/doc/htmldoc/tutorials/music_tutorial/music_tutorial_1.rst +++ b/doc/htmldoc/tutorials/music_tutorial/music_tutorial_1.rst @@ -56,7 +56,7 @@ A NEST network consists of three types of elements: neurons, devices, and connections between them. Neurons are the basic building blocks, and in NEST they are generally -spiking point neuron models. Devices are supporting units that for +spiking :hxt_ref:`point neuron` models. Devices are supporting units that for instance generate inputs to neurons or record data from them. The Poisson spike generator, the spike recorder recording device, and the MUSIC input and output proxies are all devices. Neurons and devices are From 05ecc0ceb5196c21c610ff6a58e2b7a6a6af8093 Mon Sep 17 00:00:00 2001 From: Daniel Date: Mon, 22 Apr 2024 12:19:38 -0400 Subject: [PATCH 4/5] fix stdp ref --- .../part_3_connecting_networks_with_synapses.rst | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/doc/htmldoc/tutorials/pynest_tutorial/part_3_connecting_networks_with_synapses.rst b/doc/htmldoc/tutorials/pynest_tutorial/part_3_connecting_networks_with_synapses.rst index 2ccef0b9a2..f69b183900 100644 --- a/doc/htmldoc/tutorials/pynest_tutorial/part_3_connecting_networks_with_synapses.rst +++ b/doc/htmldoc/tutorials/pynest_tutorial/part_3_connecting_networks_with_synapses.rst @@ -64,10 +64,10 @@ STDP synapses For the majority of synapses, all of their parameters are accessible via :py:func:`.GetDefaults` and :py:func:`.SetDefaults`. Synapse models implementing -spike-timing dependent plasticity are an exception to this, as their +:hxt_ref:`spike-timing dependent plasticity` are an exception to this, as their dynamics are driven by the postsynaptic :hxt_ref:`spike train` as well as the pre-synaptic one. As a consequence, the time constant of the depressing -window of :hxt_ref:`STDP` is a parameter of the postsynaptic neuron. It can be set +window of STDP is a parameter of the postsynaptic neuron. It can be set as follows: :: From 77611103ba4a6e0388d735e4fc2f05aa997fa6a9 Mon Sep 17 00:00:00 2001 From: Daniel Mallett <130804545+danielmallett@users.noreply.github.com> Date: Tue, 23 Apr 2024 14:12:08 -0400 Subject: [PATCH 5/5] short-term plasticity change Co-authored-by: jessica-mitchell --- doc/htmldoc/synapses/synapse_specification.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/htmldoc/synapses/synapse_specification.rst b/doc/htmldoc/synapses/synapse_specification.rst index b11d370ea9..f12abd2b95 100644 --- a/doc/htmldoc/synapses/synapse_specification.rst +++ b/doc/htmldoc/synapses/synapse_specification.rst @@ -450,7 +450,7 @@ NEST provides a number of built-in synapse models that can be used during connection setup. The default model is the :hxt_ref:`static_synapse`, whose only parameters ``weight`` and ``delay`` do not change over time. Other synapse models implement learning and adaptation in the -form of long-term or short-term :hxt_ref:`plasticity`. A list of available +form of long-term or short-term plasticity. A list of available synapse models is accessible via the command ``nest.synapse_models``. More detailed information about each of them can be found in the :doc:`model directory <../models/index_synapse>`.