colinshane

stdp-mnist

Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.

hands_on_Ml_with_Sklearn_and_TF

OReilly Hands On Machine Learning with Scikit Learn and TensorFlow (Sklearn与TensorFlow机器学习实用指南)

BASNN

Binary-Activation Spiking Neural Networks

hbpprak_perception

HFIRST

A Matlab implementation of the spiking HFIRST model for recognition

spiketorch

Experiments with spiking neural networks (SNNs) in PyTorch. See https://github.com/Hananel-Hazan/bindsnet for the successor to this project.

190565

Supervised learning in spiking neural networks with FORCE training (Nicola & Clopath 2017)

BabbleNN

Spiking neural network model of canonical babbling development

CARLsim3

CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail.

Convolutional-STDP-Learning

DLCISNN

Cerebellum-inspired spiking neural network(DLCISNN), a hybrid of Spiking Neural Network and Deep learning networks with the architecture and firing behaviour inspired from cerebellar microcircuitry.

helllo-world

it's my first day in github. hello, the whole new world

Introduction-to-spiking-neural-network

Neural-Network-Tutorials

Code for my tutorials on Artificial Neural Networks

Neuronz

FYP Project - Neural Networks using STDP

Number_Crunch

University Final Year Project: High-performance computing with SpiNNaker (spiking neural network architecture)

rpg_corner_events

Fast Event-based Corner Detection

S2NN-HLS

Spiking neural network for Zynq devices with Vivado HLS

snn-ml

Spiking Neural Networks for Machine Learning

snn-mnist

spiking neural network

snn-rl

Reinforcement Learning for Spiking Neural Networks

snn_global_pattern_induction

Framework to train and simulate a spiking neural network (SNN) using Brian2, that implements a learning rule that combines STDP with a global feedback mechanism to support strong, contrasty pattern formation.

SNNs-In-Tensorflow

Implementation of a Spiking Neural Network in Tensorflow.

spike-1

Spiking neural network simulator

SPIKE_RCNN

Spike Detection based on Region-based Convolutional Neural Network

Spiking-Neural-Network-Simple-Classifier

this project was my final project of Computational Neural science course in University of Tehran in Computer science department. it's very simple with just one layer of spiking neurons and two neurons that classify the learned objects. it uses Intensity to latency coding model and STDP learning

SpikingConvNet

Building arbitrarily deep models of Spiking Convolutional Neural Networks on SpiNNaker

SpikingMoYF

Spiking Neural Network

SpiNNakerCSPs

This repository will help you create a spiking neural network which structure represents a constraint satisfaction problem and which dynamics implements a stochastic search to solve it.

Training-Neural-Networks-for-Event-Based-End-to-End-Robot-Control

TUM Master’s thesis: Steering a robot with an event-based vision sensor in a lane-keeping task using methods such as Deep Reinforcement Learning or Spiking Neural Networks.