April 27: Nature article on our semantic atlas
Alex Huth’s paper, “Semantic information in natural narrative speech is represented in complex maps that tile human cerebral cortex” has just been published in Nature. The meaning of language is represented in regions of the cerebral cortex known collectively as the “semantic system”. However, little of the semantic system has been mapped comprehensively, and the semantic selectivity of most regions is still unknown. Here we systematically map semantic selectivity across the cerebral cortex using voxel-wise modeling of fMRI data collected while subjects listened to several hours of natural narrative stories. We show that the semantic system is organized into intricate patterns that appear highly consistent across individuals. We then use a novel Bayesian generative model to map these patterns and create a detailed semantic atlas. Our results suggest that most areas within the semantic system represent information about specific semantic domains and our atlas shows which domains are represented in each area. You can find a detailed writeup about the paper here, and you can find a video summary of the paper here. And be sure to check out the new brain viewer! To request a reprint please send an email to <email@example.com>.
April 26: Caseforge team wins the Delta Prize!
James Gao, Alex Huth and Young Park, the founders of Caseforge, have won the Delta Prize! The Delta Prize is a UC Berkeley startup prize aimed at accelerating the growth of early-stage ventures. Caseforge is a company formed to manufacture the headcase, a head stabilization device developed in our laboratory. This device can dramatically increase the quality of fMRI data, and it may also have important medical applications.
About our lab
This is the web home of Professor Jack Gallant’s cognitive, computational and systems neuroscience lab at the University of California, Berkeley. Our lab uses functional MRI, computational modeling and machine learning to map perceptual, language and cognitive functions across the human brain. We also study how these maps are altered by top-down processes such as attention, learning and memory, and how they differ across individuals. The computational modeling framework that we have developed for brain mapping can also be used to decode human brain activity with remarkable fidelity.
Our laboratory is located in the Department of Psychology, University of California at Berkeley. We are also affiliated with the programs in Neuroscience,Bioengineering, Biophysics and Vision Science, and with the Department of Electrical Engineering and Computer Science.
Information about joining us as a graduate student or post-doc can be found here.