Sensing the functional connectivity of the brain
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Updated
May 27, 2024 - Python
Sensing the functional connectivity of the brain
Factor analysis of multi-neuron spike trains in R
SpikeShip: A method for fast, unsupervised discovery of high-dimensional neural spiking patterns.
Extended edit similarity measurement for high dimensional discrete-time series signal (e.g., multi-unit spike-train).
Improved version of the MATLAB software for spontaneous firing pattern classification according to regularity, grouping of spikes in bursts and inter- and intra-burst firing frequency .
Synthesising Realistic Calcium Imaging Data of Neuronal Populations Using GAN.
imaging, spike trains, information theory, neural circuitry, synaptic, channel properties
Python codes for Paper: An Efficient and Flexible Spike Train Model via Empirical Bayes
Python Implementation of GLMCC (generalized linear model for spike cross-correlations)
Pure python implementation of SNN
Continuous-Time Event-based Transfer Entropy
Inner ear models for Python3
A simple Python tool to convert spike trains to calcium fluorescence-like traces.
JAX version of vLGP (github.com/catniplab/vlgp)
Spike analysis software
Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).
Scripts to model functional experimental or other phenomena, such as neuronal/device spiking, or tip-sample interactions.
Dimensionality reduction of spikes trains
Brief summary of the research
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