Repo of the bachelor thesis 'Dynamic memory traces for sequence learning in spiking networks'
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Updated
Nov 22, 2022 - Python
Repo of the bachelor thesis 'Dynamic memory traces for sequence learning in spiking networks'
Malleable spiking neural network framework and training platform.
A simulation of unsupervised (STDP) and reinforcement learning (Reward-based STDP) in human brain
Accelerated SNN simulator for neuromorphic computing and research in Python
Probably the world most FC implementation of transformers with SNNs
Framework for machine learning with spiking neural networks
SNN MNIST "Unsupervised learning of digit recognition using spike-timing-dependent plasticity"
Convolutional spiking neural network implementing voltage-dependent synaptic plasticity and single-spike integrate-and-fire neurons
A simple experiment to compare Artificial and Spiking Neural Networks in Sequential and Few-Shot Learning.
STDP promotes synchrony of inhibitory networks in the presence of heterogeneity (Talathi et al 2008)
An extension to the SpykeTorch framework for coding SNNs with several new spiking neuron models.
Convolutional Spiking Neural Network to recognize speech utterances using Spike-Timing-Dependent Plasticity
Convolutional spiking neural network implementing STDP
Spiking neural network simulator
Implementation of some of the basic neural models and simulation of interactions between neurons in a population and learning process from scratch in Python.
High-performance Spiking Neural Networks Library Written From Scratch with C++ and Python Interfaces.
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 networ…
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