CODE/ANALYSIS

All our code libraries for analysing neural population recordings

Detecting attractors in population recordings

Combines dimension reduction, recurrence analysis, and dynamical systems theory to find and quantify low-dimensional attractors in cellular-resolution population recording data.

A suite of MATLAB code for the eLife paper "A spiral attractor drives rhythmic locomotion" (Angela Bruno, Bill Frost & Mark Humphries)

Low-D_projection.png

Spike-train communities toolbox

MATLAB toolbox for spike-train community detection
A set of functions for analysing large-scale recordings of cellular-level neural activity, based on community detection ideas from network theory.

Spike-train-communities.png

Neural Ensemble Analysis toolbox

MATLAB toolbox for analysing neural ensembles.

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 quantifying and comparing neural ensembles.

NeuralEnsemble_Types.png

Small-world-ness toolbox

MATLAB code for computing small-world-ness on networks.

example_directed_SWN.png