There are 0 repository under spike-trains topic.
Pure python implementation of SNN
RBM implemented with spiking neurons in Python. Contrastive Divergence used to train the network.
Extended edit similarity measurement for high dimensional discrete-time series signal (e.g., multi-unit spike-train).
SpikeShip: A method for fast, unsupervised discovery of high-dimensional neural spiking patterns.
imaging, spike trains, information theory, neural circuitry, synaptic, channel properties
IASBS Theoretical Neuroscience Group toolbox, to analysis the time series, spike trains and graphs in python.
Stable and aligned spike sorting and decoding over long-term recordings in BCI
Python Implementation of GLMCC (generalized linear model for spike cross-correlations)
Neural Spike Train Analysis
This MATLAB code allows to semi-automatically classify spontaneous firing neurones according to regularity, grouping of spikes in bursts and firing frequency inter- and intra-burst
Spiking Neural network
Synthesising Realistic Calcium Imaging Data of Neuronal Populations Using GAN.
Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).
GANs producing spiketrains
A simple Python tool to convert spike trains to calcium fluorescence-like traces.
Material associated to C Pouzat's lectures at LASCON 2016
Python codes for Paper: An Efficient and Flexible Spike Train Model via Empirical Bayes
Sensing the functional connectivity of the brain
A Python package for analyzing single-unit spike-sorted data to infer synaptic connections in neural circuits.
Spike inference algorithm using frequency-domain FRI framework
Code used for the article "Synchrony, oscillations, and phase relationships in collective neuronal activity: a highly-comparative overview of methods" by F. Baroni and B.D. Fulcher (2024).
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 .
Scripts to model functional experimental or other phenomena, such as neuronal/device spiking, or tip-sample interactions.
Brief summary of the research
Belongs to the MSc Physics Thesis of Vishal Verma.
Spike-train kernel for astronomical X-ray time series