stdp
There are 35 repositories under stdp topic.
BindsNET/bindsnet
Simulation of spiking neural networks (SNNs) using PyTorch.
BasBuller/PySNN
Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration
fzenke/auryn
Auryn: A fast simulator for spiking neural networks with synaptic plasticity
realamirhe/awesome-computational-neuro-science
A curated list of awesome cns frameworks, libraries, and software + First class pure python Tutorial Series for Spiking Neural Networks 🔥
haoyz/sym-STDP-SNN
Code for the model presented in the paper "A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symmetric STDP Rule"
max-talanov/1
personal repository
zhouyanasd/DL-NC
spiking-neural-networks
Jumaruba/SNN
This is a repository with implementations of neuron models, synapses, and spiking neural networks (SNN). It's still in development and it has original content in terms of code.
udion/Neurapse
Nuerapse simulations for SNNs
ShahriarRezghi/Spyker
High-performance Spiking Neural Networks Library Written From Scratch with C++ and Python Interfaces.
alishdipani/NMNIST-STDP-SpiNNaker
A Spiking Neural Network model for Digit Recognition using the N-MNIST dataset.
zifeo/nest-stdpmodule
A generalizable model of spike-timing dependent plasticity for the Neural Simulation Tool (NEST).
ggoupy/SpikingConvNet
Convolutional spiking neural network implementing STDP
ggoupy/CSNN-VDSP
Convolutional spiking neural network implementing voltage-dependent synaptic plasticity and single-spike integrate-and-fire neurons
H-Elbez/Nengo
STDP implementation for Nengo and single layer network
verrannt/snn_speechrec
Convolutional Spiking Neural Network to recognize speech utterances using Spike-Timing-Dependent Plasticity
vikram-mm/Spiking-Neural-Network---Theano-Framework
Spiking neural networks are biologically plausible CNNs which learn through a temporally dependent learning method known as Spike Time Dependant Plasticity (STDP)- an alternate to gradient descent. This repository contains layers built on top of Lasagne layers for spiking neural networks. This is the first implementation of spiking neural networks in any tensor based framework to the best of my knowledge. The various layers can be found in snn.py for dense layer and snn_conv.py for other layers. These layers are to be processed for each time step which is done using the Theano scan as a quick hack - in the snn class. The results can be found the ppt. Further details on how to use the code will be put up after later.
realamirhe/tsnn
Probably the world most FC implementation of transformers with SNNs
ziemowit-s/neuronpp
Neuron++ is a library which wraps NEURON (http://www.neuron.yale.edu) with easy to use Python objects.
daevem/SpykeTorch-Extended
An extension to the SpykeTorch framework for coding SNNs with several new spiking neuron models.
SpikeyCNS/spikey
Malleable spiking neural network framework and training platform.
Abtinmy/computational-neuroscience
Implementation of some of the basic neural models and simulation of interactions between neurons in a population and learning process from scratch in Python.
AnitaSoroush/LearningProcess
A simulation of unsupervised (STDP) and reinforcement learning (Reward-based STDP) in human brain
Thvnvtos/SNN_vs_ANN
A simple experiment to compare Artificial and Spiking Neural Networks in Sequential and Few-Shot Learning.
Edward219/Aurelia-networks
海月网络--通过人工设计来形成先天的连接,加上利用hebb学习机制来形成后天的连接
TroyMiao/stdp-mnist
SNN MNIST "Unsupervised learning of digit recognition using spike-timing-dependent plasticity"
aidinattar/snn
Implementation of Spiking Neural Networks (SNNs) using SpykeTorch, featuring STDP and R-STDP training methods for efficient neural computation.
bdevans/spike
Spiking neural network simulator
dartl0l/spiking-learn
Framework for machine learning with spiking neural networks
ssgier/morphyne
Accelerated SNN simulator for neuromorphic computing and research in Python
simonmichau/dynamic-memory-traces-for-sequence-learning-in-spiking-network
Repo of the bachelor thesis 'Dynamic memory traces for sequence learning in spiking networks'
ggoupy/SpikeNN
Spiking neural network framework implementing classification layers based on first-spike coding, event-driven processing, and supervised STDP training.
ModelDBRepository/119159
STDP promotes synchrony of inhibitory networks in the presence of heterogeneity (Talathi et al 2008)
ModelDBRepository/144566
Voltage-based STDP synapse (Clopath et al. 2010)
ModelDBRepository/150225
Fast convergence of cerebellar learning (Luque et al. 2015)