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Neuroscience

D-Index
59
Citations
23141
World Ranking
3925
National Ranking
1780

Overview

Jack L. Gallant is affiliated with the University of California, Berkeley in the United States. Their research primarily lies in the field of Neuroscience, with a significant focus on Cognitive Neuroscience. Their work also extends into subfields such as Computer Vision and Pattern Recognition, Neurology, Social Psychology, and Artificial Intelligence.

The main topics of Jack L. Gallant's research include:

  • Neural dynamics and brain function
  • Visual perception and processing mechanisms
  • Face Recognition and Perception
  • Functional Brain Connectivity Studies
  • Neurobiology of Language and Bilingualism
  • Neural and Behavioral Psychology Studies
  • EEG and Brain-Computer Interfaces

The scientist has published extensively in several venues. Frequent publication venues include:

  • Journal of Vision
  • bioRxiv (Cold Spring Harbor Laboratory)
  • 2022 Conference on Cognitive Computational Neuroscience
  • Nature Communications
  • Journal of Neuroscience

Some of the recent papers authored or co-authored by Jack L. Gallant feature a range of topics from neurotechnology ethics to semantic representations in the brain. Selected recent publications are:

  • "Recommendations for Responsible Development and Application of Neurotechnologies," 2021, Neuroethics
  • "Visual and linguistic semantic representations are aligned at the border of human visual cortex," 2021, Nature Neuroscience
  • "Feature-space selection with banded ridge regression," 2022, NeuroImage
  • "Experience, circuit dynamics, and forebrain recruitment in larval zebrafish prey capture," 2020, eLife
  • "Semantic Representations during Language Comprehension Are Affected by Context," 2023, Journal of Neuroscience

Jack L. Gallant collaborates frequently with several researchers. Notable frequent co-authors include:

  • Tom Dupré la Tour
  • Fatma Deniz
  • Michael Eickenberg
  • Tianjiao Zhang
  • Emily Meschke

Best Publications

  • Natural speech reveals the semantic maps that tile human cerebral cortex

    Alexander G. Huth;Wendy A. de Heer;Thomas L. Griffiths;Thomas L. Griffiths;Frédéric E. Theunissen;Frédéric E. Theunissen

  • Identifying natural images from human brain activity.

    Kendrick N. Kay;Thomas Naselaris;Ryan J. Prenger;Jack L. Gallant;Jack L. Gallant

  • Sparse coding and decorrelation in primary visual cortex during natural vision.

    William E. Vinje;Jack L. Gallant

  • Reconstructing visual experiences from brain activity evoked by natural movies

    Shinji Nishimoto;An T. Vu;Thomas Naselaris;Yuval Benjamini

  • A Continuous Semantic Space Describes the Representation of Thousands of Object and Action Categories across the Human Brain

    Alexander G. Huth;Shinji Nishimoto;An T. Vu;Jack L. Gallant;Jack L. Gallant

  • Encoding and decoding in fMRI.

    Thomas Naselaris;Kendrick N. Kay;Shinji Nishimoto;Jack L. Gallant;Jack L. Gallant

  • Do we know what the early visual system does

    Matteo Carandini;Jonathan B. Demb;Valerio Mante;David J. Tolhurst

  • Selectivity for polar, hyperbolic, and Cartesian gratings in macaque visual cortex

    JL Gallant;J Braun;DC Van Essen

  • Bayesian Reconstruction of Natural Images from Human Brain Activity

    Thomas Naselaris;Ryan J. Prenger;Kendrick N. Kay;Michael Oliver

  • Neural responses to polar, hyperbolic, and Cartesian gratings in area V4 of the macaque monkey.

    J. L. Gallant;C. E. Connor;S. Rakshit;J. W. Lewis

  • Neural mechanisms of form and motion processing in the primate visual system

    David C. Van Essen;Jack L. Gallant

  • Four ethical priorities for neurotechnologies and AI

    Rafael Yuste;Sara Goering;Blaise Agüera y Arcas;Guoqiang Bi

  • Spatial attention effects in macaque area V4

    Charles E. Connor;Dean C. Preddie;Jack L. Gallant;Jack L. Gallant;David C. Van Essen

  • Estimating spatio-temporal receptive fields of auditory and visual neurons from their responses to natural stimuli.

    Frédéric E. Theunissen;Stephen V. David;Nandini C. Singh;Anne Hsu

  • Toward a Unified Theory of Visual Area V4

    Anna W. Roe;Leonardo Chelazzi;Charles E. Connor;Bevil R. Conway

  • Natural stimulus statistics alter the receptive field structure of v1 neurons.

    Stephen V. David;William E. Vinje;Jack L. Gallant

  • Attention during natural vision warps semantic representation across the human brain

    Tolga Çukur;Shinji Nishimoto;Shinji Nishimoto;Alexander G Huth;Jack L Gallant;Jack L Gallant

  • Complete functional characterization of sensory neurons by system identification.

    Michael C.-K. Wu;Stephen V. David;Jack L. Gallant

  • A voxel-wise encoding model for early visual areas decodes mental images of remembered scenes

    Thomas Naselaris;Cheryl A. Olman;Dustin E. Stansbury;Kamil Ugurbil

  • Response modulation by texture surround in primate area V1: correlates of "popout" under anesthesia.

    Hans-Christoph Nothdurft;Jack L. Gallant;David C. Van Essen

Frequent Co-Authors

Stephen V. David
Stephen V. David Oregon Health & Science University
Kendrick Kay
Kendrick Kay University of Minnesota
David C. Van Essen
David C. Van Essen Washington University in St. Louis
Benjamin Y. Hayden
Benjamin Y. Hayden Baylor College of Medicine
Frédéric E. Theunissen
Frédéric E. Theunissen University of California, Berkeley
Claire Wyart
Claire Wyart Institut du Cerveau
Stefan Schaal
Stefan Schaal Google (United States)
Jonathan R. Wolpaw
Jonathan R. Wolpaw National Center for Adaptive Neurotechnologies
Wim Vanduffel
Wim Vanduffel Harvard University
Jose M. Carmena
Jose M. Carmena University of California, Berkeley

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