Scripts to model functional experimental or other phenomena, such as neuronal/device spiking, or tip-sample interactions.
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Updated
Nov 4, 2021 - Python
Scripts to model functional experimental or other phenomena, such as neuronal/device spiking, or tip-sample interactions.
Neural Environment for Random Variable Estimation
Spike inference algorithm using frequency-domain FRI framework
Analysis of the extracellular recordings from the locust olfactory pathway available on zenodo (https://zenodo.org/record/21589)
Sensing the functional connectivity of the brain
Org-mode file and non reproducible figures of the presentation: "Nonparametric analysis of simultaneously recorded spike trains considered as a realization of a multivariate point process".
Some C code and a description of its use to simulate the Galves-Locherbach model
Spike-train kernel for astronomical X-ray time series
Brief summary of the research
Analyse des séquences de potentiels d'action / Spike train analysis
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 .
Factor analysis of multi-neuron spike trains in R
Python codes for Paper: An Efficient and Flexible Spike Train Model via Empirical Bayes
A simple Python tool to convert spike trains to calcium fluorescence-like traces.
GANs producing spiketrains
Material associated to C Pouzat's lectures at LASCON 2016
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).
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