This site provides information about ongoing research in Jack Gallant’s cognitive, systems and computational neuroscience lab at UC Berkeley. Here you can find our cool interactive brain viewers, some of our published papers, information about the great people who do the work, our open data, open source code, and tutorials.

If you would like to know more about the general philosophy of the lab, please listen to this Freakonomics podcast interview with Jack Gallant or to these OHBM discussions between Peter Bandettini and Jack Gallant (discussion 1, discussion 2). If you would like to know more about our cutting-edge fMRI data analysis and modeling framework, voxelwise encoding models, check out this recent review paper and this tutorial.

We are recruiting postdocs!

We currently have openings for potential postdocs. If you are interested please contact Jack Gallant.

Latest News

September 17, 2025

Our latest review paper on the Voxelwise Encoding Model (VEM) framework from Visconti di Oleggio Castello, Deniz, et al. is now available as a preprint on PsyArXiv. This paper provides the first comprehensive guide for creating encoding models with fMRI data, and complements our VEM tutorials.

September 15, 2025

We have created a new brain viewer that provides a way to inspect cortical visual-semantic conceptual maps at the group level, vertex-by-vertex. The data for this viewer were generated by pooling visual semantic maps from 15 separate participants who viewed several hours of short movie clips.

September 5, 2025

We've created a new brain viewer that provides a way to inspect cortical lexical-semantic conceptual maps at the group level, vertex-by-vertex. The data for this viewer were generated by pooling lexical semantic maps from 24 separate participants who listened to several hours of natural narrative stories. Based on the results that we reported in another recent paper, this viewer should account for about 80% of the variance in lexical semantic conceptual maps in any individual.

August 23, 2025

Here is an amazing new paper on individual differences from Visconti di Oleggio Castello et al. This paper solves a longstanding problem in fMRI that has profound implications for precision medicine. The paper is currently posted on bioRxiv and it is in review.

May 15, 2025

Emily Meschke has received her PhD! Congratulations Dr. Meschke! Emily will be moving to Columbia University in a few months to begin a postdoc.

May 9, 2025

We've published a new tutorial paper from Dupré la Tour et al. on the Voxelwise Encoding Model framework, published in Imaging Neuroscience.

November 1, 2024

Dr. Evi Hendrikx has joined our lab as our newest postdoc! It's great to have you on board Evi!