mdhumphries/NeuralE​nsembleAnalysis

Version 1.0.0.0 (19.8 MB) by mdhumphries
MATLAB toolbox for analysing neural ensembles
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Updated 2 Sep 2016
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So you've found some ensembles of neurons (or ``cell assemblies") in your population recording data - now what? This toolbox tackles this problem by laying out a set of tools for analysing neural ensembles.
It contains a collection of scripts and functions for analysing ensembles assuming:
(1) you've got a clustering of your spike-train data into ensembles (as might be obtained by: https://github.com/mdhumphries/SpikeTrainCommunitiesToolBox)
(2) you've got your spike-trains in some time-series format (i.e. either binned or "spike-density" - convolved each spike with a window function) (as might be obtained by: https://github.com/mdhumphries/SpikeTrainCommunitiesToolBox)

The focus is on classifying ensembles: this allows us to then go back to each recording and start to decompose the dynamical systems captured within

Full details are in Bruno, Frost & Humphries (2015, Neuron)

Cite As

mdhumphries (2024). mdhumphries/NeuralEnsembleAnalysis (https://github.com/mdhumphries/NeuralEnsembleAnalysis), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2012b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
1.0.0.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.