Repo of the bachelor thesis 'Dynamic memory traces for sequence learning in spiking networks'

Fast convergence of cerebellar learning (Luque et al. 2015)

STDP promotes synchrony of inhibitory networks in the presence of heterogeneity (Talathi et al 2008)

Voltage-based STDP synapse (Clopath et al. 2010)

Spiking neural network framework implementing classification layers based on first-spike coding, event-driven processing, and supervised STDP training.

Explores neural coding schemes and learning mechanisms in neuroscience using STDP and RSTDP models for synaptic plasticity.

Spiking neural network simulator

Framework for machine learning with spiking neural networks

Accelerated SNN simulator for neuromorphic computing and research in Python

Implementation of Spiking Neural Networks (SNNs) using SpykeTorch, featuring STDP and R-STDP training methods for efficient neural computation.

SNN MNIST "Unsupervised learning of digit recognition using spike-timing-dependent plasticity"

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

A simple experiment to compare Artificial and Spiking Neural Networks in Sequential and Few-Shot Learning.

A simulation of unsupervised (STDP) and reinforcement learning (Reward-based STDP) in human brain

Implementation of some of the basic neural models and simulation of interactions between neurons in a population and learning process from scratch in Python.

Malleable spiking neural network framework and training platform.

An extension to the SpykeTorch framework for coding SNNs with several new spiking neuron models.

Neuron++ is a library which wraps NEURON (http://www.neuron.yale.edu) with easy to use Python objects.

Probably the world most FC implementation of transformers with SNNs

STDP implementation for Nengo and single layer network