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PopulationDynamics

Tools to describe the temporal dynamics of populations of neurons

Readme

PopulationDynamics.jl

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Usage

The basic functionality of the package is captured in the function fit_dynamics which takes an input of type Array{T,3} where T <: Real, which is assumed to have dimensions time by cells by trials. One can then do,

dims = size(X,2)
q = PopulationDynamics.fit_dynamics(X)
Aq = PopulationDynamics.sfunc(q.minimizer, dim)

which returns an (dims+1)×(dims+1) transformation matrix Aq which captures rotation, scaling and shearing in Aq[1:dims-1, 1:dims-1] and translation in Aq[1:end-1, end].

First Commit

08/08/2018

Last Touched

over 1 year ago

Commits

16 commits

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