Skip to content
master
Switch branches/tags
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.

GP-CaKe-project

Bayesian Effective Connectivity

The presented code allows for estimation of effective connectivity using Gaussian Processes with 'causal kernels'. Please see the notebook demo for an example of how to use the code. More details on the method are available in the accompanying paper: http://papers.nips.cc/paper/6696-gp-cake-effective-brain-connectivity-with-causal-kernels.pdf.

Change log

September 27th, 2018

August 10th, 2017

  • Added parallel computation functionality; simply set the parallelthreads attribute of the gpcake() object before executing gpcake.run_analysis(), and computation will be in parallel over trials.

About

Bayesian Effective Connectivity

Resources

Releases

No releases published

Packages

No packages published