Awesome Open Source

Programming Languages

Search results for neural spike

35 search results found

Slayerpytorch ⭐ 250

PyTorch implementation of SLAYER for training Spiking Neural Networks

Neural_decoding ⭐ 242

A python package that includes many methods for decoding neural activity

Spyketorch ⭐ 226

High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.

Ihmehimmeli ⭐ 109

Snn_benchmark ⭐ 91

Tools for spike data analysis and visualization

JAX-based Spiking Neural Network framework

Musical Pattern Recognition In Spiking Neural Networks ⭐ 41

Differentiate notes using a spiking neural network

Pub2018superspike ⭐ 39

Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.

Interpretable neural spike train models with fully-Bayesian inference algorithms

Neuroglm ⭐ 34

Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).

Spike Recorder ⭐ 31

A neural recording app for the Windows, OS X (Mac) and Linux.

Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.

Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Journal of Neural Systems (2020), doi: 10.1142/S0129065720500276

Neural Spike Train Analysis Toolbox for Matlab

Spike Flownet ⭐ 20

Crabsort ⭐ 17

🦀🦀🦀 Sort spikes from extra-cellular recordings using neural networks. Fully automated.

Snn_object_recognition ⭐ 17

One-Shot Object Appearance Learning using Spiking Neural Networks

Proportional-Derivative Neural Networks, as described in Temporally Efficient Deep Learning with Spikes

Fit_neuron ⭐ 15

A neuroscience python package for the estimation and evaluation of neural models from patch clamp neural recordings, including a library of spike distance metrics..

Pytorch Eventprop ⭐ 12

A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks

Snn_arxiv_daily ⭐ 12

this repository cord my subscriptions in arxiv with spiking neural network, and [this](https://github.com/shenhaibo123/SNN_summari is my summaries.

👼 Matlab package implementing blind deconvolution method for neural spike recovery

Awesome Neural Data Tools ⭐ 10

Tools, algorithms, and frameworks for managing and analyzing neural data.

Spikingtorch ⭐ 9

A pytorch implementation of spiking neural networks and backpropagation through spikes

Temporalencoding ⭐ 9

Supervised learning in spiking neural networks for precise temporal encoding

Swissknife ⭐ 8

Bcs Mit Computational Tutorial ⭐ 8

Tempotron ⭐ 8

a spiking neural network module, tempotron for classification

Bayesocampus ⭐ 7

a sandbox for Bayesian neural decoding

Adaptive_kernel_methods ⭐ 6

Python code for Kernel LMS (KLMS) algorithm with sklearn API. We also implemented neural spike kernels. We also have KLMS and Kernel PCA for neural spike data.

Spike Time Dependent Plasticity ⭐ 5

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

A Spiking Neural Network framework with SNNML parser written in Python

Speech_spike_signatures ⭐ 5

Spiking neural networks (SNNs) for speech classification

Related Searches

Python Neural (7,444)

Python Neural Network (7,064)

Jupyter Notebook Neural (3,898)

Jupyter Notebook Neural Network (3,818)

Deep Learning Neural Network (3,760)

Machine Learning Neural Network (3,255)

Neural Deep Learning (2,555)

Tensorflow Neural (1,668)

Machine Learning Neural (1,332)

Pytorch Neural (1,206)

1-35 of 35 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.