Pure python implementation of SNN

Dimensionality reduction of spikes trains

RBM implemented with spiking neurons in Python. Contrastive Divergence used to train the network.

Nuerapse simulations for SNNs

Extended edit similarity measurement for high dimensional discrete-time series signal (e.g., multi-unit spike-train).

Spike analysis software

IASBS Theoretical Neuroscience Group toolbox, to analysis the time series, spike trains and graphs in python.

Inner ear models for Python3

Python Implementation of GLMCC (generalized linear model for spike cross-correlations)

Synthesising Realistic Calcium Imaging Data of Neuronal Populations Using GAN.

JAX version of vLGP (github.com/catniplab/vlgp)

Spiking Neural network

A simple Python tool to convert spike trains to calcium fluorescence-like traces.

Sensing the functional connectivity of the brain

A Python package for analyzing single-unit spike-sorted data to infer synaptic connections in neural circuits.

Spiking Neural Network (SNN) – Reservoir Model with spike-based feature extraction

GANs producing spiketrains

Scripts to model functional experimental or other phenomena, such as neuronal/device spiking, or tip-sample interactions.

Python codes for Paper: An Efficient and Flexible Spike Train Model via Empirical Bayes