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.

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

Inner ear models for Python3

Synthesising Realistic Calcium Imaging Data of Neuronal Populations Using GAN.

Spiking Neural network

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

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

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

GANs producing spiketrains

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

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

Sensing the functional connectivity of the brain

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