colinshane Goto Github PK

followers: 17.0 following: 27.0 repos: 185.0 gists: 0.0

Type: User

Company: Peking University

Bio: PhD candidate in PKU Focus on Brain-inspired chip/SNN algorithm/analog IC design

Location: Beijing，China

colinshane's Projects

spatialspikingneuralnetworks

C and Matlab code for simulatung large, spatially extended spiking neuronal networks

spike

A GPGPU based Spiking Neural Network (SNN) designed to be as transparent and easy to modify as possible. Written in C++/CUDA.

spike-time-dependent-plasticity

A spiking neural network undergoes plastic changes based on the timing of neural spikes (MATLAB).

spike_rcnn

Spike Detection based on Region-based Convolutional Neural Network

spikefuel

Toolkit for converting visual recognition benchmarks to spiking neuromorphic datasets.

spikeprop

spiking neural network implementing the SpikeProp algorithm for the improvement of beat detection in heart sound signals

spikes

A Spiking Neural Network framework with SNNML parser written in Python

spiketorch

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

spiking-c3d

Convolutional 3D Spiking Neural Network to classify videos

spiking-cnn-1

Implementation of a Spiking Convolutional Neural Network, proposed in https://ieeexplore.ieee.org/document/7966099 .

spiking-convnet

A Spiking Convolutional Neural Network implemented using brian2 package.

spiking-networks

A MATLAB environment for creating spiking neural networks with action potential propagation delays.

spiking-neural-nets-for-distributed-systems

Spiking Neural Network for High Performance Computing Platforms.

spiking-neural-network---genre-recognizer

A spiking neural network based on the LIF neuron model to detect genre of given song

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.

spiking-neural-network-1

Basic SNN propogating spikes between LIF neurons

spiking-neural-network-2

Design an supervised algorithm based on Tempotron to number recognition.

spiking-neural-network-controler

Spiking neural network controler for tracking a trajectory

spiking-neural-network-implementations

This repository contains current implementations of Spiking Neural Networks.

spiking-neural-network-optimization

Heurstic Supervised Learning Rules for LIF Spiking Neural Networks

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

colinshane Goto Github PK

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