Center for Science of Information
Center for Science of Information


National Science Foundation

CSoICenter for Science of Information
    • About
      • Overview
      • Mission
      • Participants
      • Organizational Chart
      • Strategic Plan
      • Annual Report
      • Reimbursement Forms
      • Contact Us
      • Related Links
    • Research
      • Overview
      • Communication Thrust
      • Knowledge Thrust
      • Life Sciences Thrust
      • RCR Ethics Training
    • Education
      • Overview
      • Courses & Modules
      • Research Teams
      • Seminars
      • Workshops
      • Outreach
    • Diversity
      • Overview
      • Channels Program
      • Explore Diversity
    • Knowledge Transfer
      • Overview
      • Information for Industry Partners
      • International Partnerships
    • News and Events
      • Center News
      • Newsletter
      • Calendar
    • Resources
      • Articles
      • Courses & Modules
      • K-12 Resources
      • Video
      • Books
      • Journal Papers
      • Presentation Slides
      • Posters
      • Theses
    • More
      • News and Events
      • Resources
    • About
    • Research
    • Education
    • Diversity
    • Knowledge Transfer
    • News and Events
    • Resources
OverviewMissionParticipants
FacultyPostdocsStaffGraduate StudentsAlumniCollaboratorsUndergraduate StudentsExternal Advisory Committee
Organizational ChartStrategic PlanAnnual ReportReimbursement FormsContact UsRelated Links
  • Jack Gallant

  • Professor
    Psychology
    University of California, Berkeley

    The focus of research in my laboratory is on understanding the structure and function of the visual system. Vision is the most important sense for humans, and damage to vision through disease or stroke is a serious problem affecting millions of people. The human visual system is quite complicated, consisting of several dozen distinct modules (visual areas) arranged in a highly interconnected, hierarchical and parallel network. The visual system is also tightly integrated with other sensory subsystems and systems for memory and language. Because of this interconnectivity, and because the brain is built on modular principles, vision research also has important implications for understanding other brain systems. The goal of the Gallant Lab is to understand the structure and function of the human visual system at a quantitative, computational level, and to build models that accurately predict how the brain will respond during natural vision. Predictive models of brain activity are the gold standard of computational neuroscience, and are critical for the long-term advancement of neuroscience and medicine. The research program in my lab reflects a tight integration of three distinct approaches: neuroscience experiments involving both classical electrophysiology and functional neuroimaging (fMRI); statistical analysis using methods adapted from nonlinear system identification and nonlinear regression; and theoretical modeling. Much of our research uses modern statistical tool



    Keywords
    Psychology

    Years Active

    2011 2012 2013 2014 2015 2016 2017 2018 2019
    Associated Resources

    • Journal Papers: Natural scene statistics explain the representation of scene categories in human visual cortex
    • Journal Papers: Functional Subdomains Within Human FFA
    • Journal Papers: Attention During Natural Vision Warps Semantic Representation Across the Human Brain
    • Journal Papers: A Continuous Semantic Space describes the Representation of Thousands of Object and Action Categories Across the Human Brain
    • Journal Papers: Encoding and decoding V1 fMRI responses to natural images with sparse nonparametric models
    • Journal Papers: Mapping Foveal V1 Spatial- Temporal-Chromatic Receptive Fields in the Awake Macaque Using Natural Movies
    • Articles: MRI research: Listen to more podcasts—they're good for your brain
    • Center News: Jack Gallant speaks at 2012 Allen Institute for Brain Science Symposium - Dr. Gallant explains how encoding models, decoding models, and functional maps of the brain are all closely related.
    • Video: CSoI Faculty member Jack Gallant Speaking at 2012 Allen Institute for Brain Science Symposium
    • Articles: Brain imaging: fMRI 2.0
    • Articles: In UC Berkeley Lab, Mind-Reading is Real
    • Articles: Reading the brain: Mind-googling
    • Center News: Center Scientists Publish Landmark Neuroscience Article
    Associated Events

    • 2014 NSF Site Visit
    • fMRI-enabled mind-reading event, with Jack Gallant & Nita Farahany
    • 2012 STC Grand Challenge Workshop

Terms of Use | Contact Us | Login Center for Science of Information © 2018
Made possible by grant NSF CCF-0939370