Other Gallant Lab Web Sites

YouTube and Vimeo

Our YouTube and Vimeo channels contain brief lectures about our work and demonstrations of various encoding and decoding results.

Caseforge

CaseforgeJames Gao and Alex Huth have developed a new head stabilization device that can dramatically decrease head motion during MRI, and so increase the quality of fMRI data. The system may also have important medical applications. James and Alex are now gearing up to manufacture this device through a new company called Caseforge. Stay tuned to the Caseforge page for further developments.

Github

We have several open source software projects that can be downloaded from github. Be sure to check out pycortex and pyrcca!

Data sharing on CRCNS

We make our data freely available after the primary research papers have been published. You can find our data at the Collaborative Research in Computational Neuroscience (CRCNS) data sharing web site.

Neurotree

neurotreeNeurotree aims to be the definitive academic family tree for all of neuroscience. The site was developed by Stephen David (now an Assistant Professor at Oregon Health Sciences University) and Ben Hayden (now an Assistant Professor at the University of Rochester) when they were graduate students in the Gallant lab. The site is now maintained and hosted by Professors David and Hayden.

STRFLab

strflabSTRFLab is an open-source Matlab toolbox for estimating the spatio-temporal receptive fields of neurons (or voxels). This software was developed over the past decade in collaboration with Professor Frederic Theunissen’s lab. STRFLab replaces our earlier STRFPak software suite (see below). It has been completely re-written and re-factored, and it contains significant new capability.

The neural prediction challenge

The Neural Prediction Challenge provides a platform for modelers to test their neural models on real data recorded from single neurons in several visual areas. Instructions can be found at the site. (Note: This is a rather old project that has not been updated in some time.)