J. Gallant

发表

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

D. V. van Essen, D. C. Essen, J. Gallant, 1993, Science.

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

D. C. Essen, D. V. van Essen, J. Gallant, 1996, Journal of neurophysiology.

Reconstructing Visual Experiences from Brain Activity Evoked by Natural Movies

J. Gallant, S. Nishimoto, A. Vu, 2011, Current Biology.

Do We Know What the Early Visual System Does?

Nicole C. Rust, M. Carandini, B. Olshausen, 2005, The Journal of Neuroscience.

Sparse coding in striate and extrastriate visual cortex.

B. Willmore, J. Gallant, J. Mazer, 2011, Journal of neurophysiology.

Natural Stimulus Statistics Alter the Receptive Field Structure of V1 Neurons

J. Gallant, S. David, W. Vinje, 2004, The Journal of Neuroscience.

The Neural Representation of Shape

J. Gallant, 2000 .

Natural Stimulation of the Nonclassical Receptive Field Increases Information Transmission Efficiency in V1

J. Gallant, W. Vinje, 2002, The Journal of Neuroscience.

J. Gallant, J. Mazer, 2003, Neuron.

Spectral receptive field properties explain shape selectivity in area V4.

J. Gallant, S. David, B. Hayden, 2006, Journal of neurophysiology.

Spatial Attention Effects in Macaque Area V4

D. V. van Essen, J. Gallant, C. Connor, 1997, The Journal of Neuroscience.

Neural activity in areas V1, V2 and V4 during free viewing of natural scenes compared to controlled viewing

D C Van Essen, J L Gallant, C E Connor, 1998, Neuroreport.

Identifying natural images from human brain activity

J. Gallant, R. Prenger, Thomas Naselaris, 2008, Nature.

Complete functional characterization of sensory neurons by system identification.

J. Gallant, S. David, M. Wu, 2006, Annual review of neuroscience.

Response modulation by texture surround in primate area V1: Correlates of “popout” under anesthesia

D. V. van Essen, D. C. Essen, J. Gallant, 1999, Visual Neuroscience.

Response profiles to texture border patterns in area V1

D. V. van Essen, J. Gallant, H. Nothdurft, 2000, Visual Neuroscience.

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

D. V. Essen, J. Gallant, D. C. Essen, 1994, Neuron.

PrAGMATiC: a Probabilistic and Generative Model of Areas Tiling the Cortex

Alexander G. Huth, T. Griffiths, J. Gallant, 2015, 1504.03622.

A Human Extrastriate Area Functionally Homologous to Macaque V4

J. Gallant, J. Mazer, R. Shoup, 2000, Neuron.

Topographic Organization in and near Human Visual Area V4

Kathleen A. Hansen, J. Gallant, Kendrick Norris Kay, 2007, The Journal of Neuroscience.

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

J L Gallant, W E Vinje, J. Gallant, 2000, Science.

Pixels to Voxels: Modeling Visual Representation in the Human Brain pdf

Jitendra Malik, Jack L. Gallant, Pulkit Agrawal, 2014, ArXiv.

Predicting neuronal responses during natural vision

J. Gallant, S. David, 2005, Network.

Cortical representation of animate and inanimate objects in complex natural scenes

J. Gallant, Thomas Naselaris, D. Stansbury, 2012, Journal of Physiology-Paris.

Attention to Stimulus Features Shifts Spectral Tuning of V4 Neurons during Natural Vision

J. Gallant, S. David, B. Hayden, 2008, Neuron.

Responses in area V4 depend on the spatial relationship between stimulus and attention.

D. V. van Essen, J. Gallant, C. Connor, 1996, Journal of neurophysiology.

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

Jack L. Gallant, Shinji Nishimoto, Alexander G. Huth, 2012, Neuron.

Functional Subdomains within Scene-Selective Cortex: Parahippocampal Place Area, Retrosplenial Complex, and Occipital Place Area

Alexander G. Huth, J. Gallant, S. Nishimoto, 2016, The Journal of Neuroscience.

Spatial frequency and orientation tuning dynamics in area V1

P. H. Schiller, J. Gallant, J. Mazer, 2002, Proceedings of the National Academy of Sciences of the United States of America.

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

N. C. Singh, J. Gallant, S. David, 2001 .

Some effects of distance and structure on conjunction errors

W. R. Garner, J. Gallant, 1988 .

Supplementary Information for Natural Speech Reveals the Semantic Maps That Tile Human Cerebral Cortex

Thomas L. Griffiths, Jack L. Gallant, Alexander G. Huth, 2022 .

A Three-Dimensional Spatiotemporal Receptive Field Model Explains Responses of Area MT Neurons to Naturalistic Movies

J. Gallant, S. Nishimoto, Shinji Nishimoto, 2011, The Journal of Neuroscience.

Attention During Natural Vision Warps Semantic Representation Across the Human Brain

Alexander G. Huth, J. Gallant, S. Nishimoto, 2013, Nature Neuroscience.

The Representation of Semantic Information Across Human Cerebral Cortex During Listening Versus Reading Is Invariant to Stimulus Modality

Jack L. Gallant, Alexander G. Huth, Fatma Deniz, 2019, The Journal of Neuroscience.

Behavioral / Systems / Cognitive Natural Stimulus Statistics Alter the Receptive Field Structure of V 1 Neurons

J. Gallant, S. David, W. Vinje, 2015 .

1.17 – Neural Mechanisms of Natural Scene Perception

J. Gallant, R. Prenger, 2008 .

Neural Representation of Natural Images in Visual Area V2

B. Willmore, J. Gallant, R. Prenger, 2010, The Journal of Neuroscience.

Dynamic aspects of receptive field organization in area VI of the macaque monkey

D. V. Essen, J. Gallant, C. Anderson, 1992 .

Toward a Unified Theory of Visual Area V4

Bevil R. Conway, I. Fujita, J. Gallant, 2012, Neuron.

Combined effects of spatial and feature-based attention on responses of V4 neurons

J. Gallant, B. Hayden, 2009, Vision Research.

Time Course of Attention Reveals Different Mechanisms for Spatial and Feature-Based Attention in Area V4

J. Gallant, B. Hayden, 2005, Neuron.

Toward a Unified Theory of Visual Area V 4

Bevil R. Conway, I. Fujita, J. Gallant, 2012 .

I can see what you see

Kendrick N Kay, Jack L Gallant, J. Gallant, 2009, Nature Neuroscience.

Working Memory and Decision Processes in Visual Area V4

Jack L. Gallant, Benjamin Y. Hayden, J. Gallant, 2013, Front. Neurosci..

Four ethical priorities for neurotechnologies and AI

Alan Rubel, Rafael Yuste, Judy Illes, 2017, Nature.

The unified maximum a posteriori (MAP) framework for neuronal system identification

J. Gallant, R. Prenger, M. Wu, 2018, 1811.01043.

Using a novel source-localized phase regressor technique for evaluation of the vascular contribution to semantic category area localization in BOLD fMRI

Jack L. Gallant, An T. Vu, J. Gallant, 2015, Front. Neurosci..

Voxelwise encoding models with non-spherical multivariate normal priors

Jack L. Gallant, Alexander G. Huth, J. Gallant, 2018, NeuroImage.

Behavioral / Cognitive Functional Subdomains within Human FFA

Alexander G. Huth, J. Gallant, S. Nishimoto, 2013 .

Experience, circuit dynamics, and forebrain recruitment in larval zebrafish prey capture

J. Gallant, Claire Wyart, E. Isacoff, 2020, eLife.

Functional Aspects

B. Olshausen, D. C. Essen, D. Felleman, 1956 .

Electronic Thesis and Dissertations Uc Berkeley Title: Representation and Control in Closed-loop Brain-machine Interface Systems Representation and Control in Closed-loop Brain-machine Interface Systems Curriculum Vitae Peer-reviewed Articles and Conference Proceedings Conference Abstracts

R. Full, R. Ivry, J. Gallant, 2015 .

Feature-space selection with banded ridge regression

J. Gallant, Michael Eickenberg, Tom Dupré la Tour, 2022, bioRxiv.

Both convolutional neural networks and voxel-wise encoding models of brain activity derived from ConvNets represent boundary-and surface-related features

Jack L. Gallant, Pulkit Agrawal, Mark D. Lescroart, 2016 .

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

Jack L. Gallant, Kamil Ugurbil, Thomas Naselaris, 2015, NeuroImage.

A finer mapping of convolutional neural network layers to the visual cortex

Tom Dupré la Tour, J. Gallant, Michael Eickenberg, 2021 .

Feature-space selection with banded ridge regression

Tom Dupré la Tour, J. Gallant, Michael Eickenberg, 2022, NeuroImage.

Supreme Court decision making: Cognitive style as a predictor of ideological consistency of voting.

J. Gallant, P. Tetlock, J. Bernzweig, 1985 .

during natural vision warps semantic representation across the

Alexander G. Huth, J. Gallant, S. Nishimoto, 2016 .

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

J. Gallant, S. David, A. Hsu, 2001, Network.

Recommendations for Responsible Development and Application of Neurotechnologies

Adam H. Marblestone, R. Yuste, J. Wolpaw, 2021, Neuroethics.

Design of complex neuroscience experiments using mixed-integer linear programming

J. Gallant, Storm Slivkoff, 2021, Neuron.

Design of Complex Experiments Using Mixed Integer Linear Programming.

Jack L. Gallant, Storm Slivkoff, J. Gallant, 2020, 2012.02361.

Functional Subdomains within Human FFA

Tolga Çukur, Shinji Nishimoto, Alexander G. Huth, 2013, The Journal of Neuroscience.

ReportTime Course of Attention Reveals Different Mechanisms for Spatial and Feature-Based Attention In Area V 4

J. Gallant, B. Hayden, 2005 .

Bayesian Reconstruction of Natural Images from Human Brain Activity

Ryan J. Prenger, Jack L. Gallant, Kendrick N. Kay, 2009, Neuron.

RNA-Mediated Neuromuscular Disorders

J. Gallant, S. David, R. Malenka, 2007 .

Decoding the Semantic Content of Natural Movies from Human Brain Activity

Jack L. Gallant, Shinji Nishimoto, Alexander G. Huth, 2016, Frontiers in systems neuroscience.

Pyrcca: Regularized Kernel Canonical Correlation Analysis in Python and Its Applications to Neuroimaging

Jack L. Gallant, Natalia Y. Bilenko, J. Gallant, 2015, Front. Neuroinform..

The Cortical Representation of Language Timescales is Shared between Reading and Listening

D. Klein, J. Gallant, Fatma Deniz, 2023, bioRxiv.

Nonlinear V1 responses to natural scenes revealed by neural network analysis

Ryan J. Prenger, Michael C.-K. Wu, Stephen V. David, 2004, Neural Networks.

Human Scene-Selective Areas Represent 3D Configurations of Surfaces

Jack L. Gallant, Mark D. Lescroart, J. Gallant, 2019, Neuron.

Fourier power, subjective distance, and object categories all provide plausible models of BOLD responses in scene-selective visual areas

Jack L. Gallant, Mark D. Lescroart, Dustin Stansbury, 2015, Front. Comput. Neurosci..

A deep convolutional energy model of V4 responses to natural movies

Jack L. Gallant, Michael Oliver, J. Gallant, 2016 .

Encoding and decoding in fMRI

Jack L. Gallant, Kendrick N. Kay, Thomas Naselaris, 2011, NeuroImage.

Pycortex: an interactive surface visualizer for fMRI

Jack L. Gallant, James S. Gao, Alexander G. Huth, 2015, Front. Neuroinform..

The Hierarchical Cortical Organization of Human Speech Processing

Frédéric E Theunissen, Thomas L Griffiths, Alexander G. Huth, 2017, The Journal of Neuroscience.

Parametric reverse correlation reveals spatial linearity of retinotopic human V1 BOLD response

Stephen V. David, Jack L. Gallant, Kathleen A. Hansen, 2004, NeuroImage.

Semantic Representations during Language Comprehension Are Affected by Context

J. Gallant, Leila Wehbe, Fatma Deniz, 2021, The Journal of Neuroscience.

Visual and linguistic semantic representations are aligned at the border of human visual cortex

Alexander G. Huth, Natalia Y. Bilenko, J. Gallant, 2021, Nature Neuroscience.

Two-dimensional and three-dimensional texture processing in visual cortex of the macaque monkey

Jack L. Gallant, David C. Van Essen, H. Christoph Nothdurft, 1995 .

Time course of attentional effects in macaque area V4

D. C. Essen, J. Gallant, C. Connor, 1995 .

The DeepTune framework for modeling and characterizing neurons in visual cortex area V4

Jack L. Gallant, Adam Bloniarz, Michael Oliver, 2018, bioRxiv.

Neural activity in areas V1, V2 and V4 during free viewing of natural scenes compared to controlled viewing.

D C Van Essen, J L Gallant, C E Connor, 1998, Neuroreport.

Modeling low‐frequency fluctuation and hemodynamic response timecourse in event‐related fMRI

Kathleen A. Hansen, Stephen V David, Kendrick N Kay, 2008, Human brain mapping.

Object recognition: Seeing us seeing shapes

Jack L. Gallant, James A. Mazer, J. Gallant, 2000, Current Biology.

BOLD predictions: automated simulation of fMRI experiments

James Gao, Jack L. Gallant, Leila Wehbe, 2018 .

Voxel-Based State Space Modeling Recovers Task-Related Cognitive States in Naturalistic fMRI Experiments

J. Gallant, T. Çukur, James S. Gao, 2021, Frontiers in Neuroscience.

Sound Waveform Feature Spaces s ( t ) Spectral Articulation Semantic Downsampled Feature Representations

Alexander G. Huth, Wendy A de Heer, T. Griffiths, 2017 .

Neural activity in areas V1, V2 and V4 during free viewing of natural scenes compared to controlled viewing.

J. Gallant, C. Connor, D. V. Van Essen, 1998, Neuroreport.

Natural Scene Statistics Account for the Representation of Scene Categories in Human Visual Cortex

Jack L. Gallant, Thomas Naselaris, Dustin E. Stansbury, 2013, Neuron.

Blur into focus

CHARLES H. ANDERSON, DAVID C. VAN ESSEN, JACK L. GALLANT, 1990, Nature.

ENCODING AND DECODING V1 FMRI RESPONSES TO NATURAL IMAGES WITH SPARSE NONPARAMETRIC MODELS.

Pradeep Ravikumar, Bin Yu, Vincent Q. Vu, 2011, The annals of applied statistics.

Selectivity in Area V4 Spectral Receptive Field Properties Explain Shape

J. Gallant, B. Hayden, 2006 .

A Statistical Modeling Framework for Investigating Visual Scene Processing in the Human Brain

Jack L. Gallant, Dustin E. Stansbury, J. Gallant, 2014 .

Model connectivity: leveraging the power of encoding models to overcome the limitations of functional connectivity

Matteo Visconti di Oleggio Castello, Tom Dupré la Tour, J. Gallant, 2023, bioRxiv.

Cottoncandy: Scientific Python Package for Easy Cloud Storage

Anwar Nunez-Elizalde, James S. Gao, Tianjiao Zhang, 2018, J. Open Source Softw..

The Berkeley Wavelet Transform: A Biologically Inspired Orthogonal Wavelet Transform

Ryan J. Prenger, Jack L. Gallant, Ben D. B. Willmore, 2008, Neural Computation.

Task-Dependent Warping of Semantic Representations during Search for Visual Action Categories

Burcu A. Urgen, J. Gallant, T. Çukur, 2021, The Journal of Neuroscience.

Lamina Propria and Olfactory Bulb Ensheathing Cells Exhibit Differential Integration and Migration and Promote Differential Axon Sprouting in the Lesioned Spinal Cord

B. Olshausen, J. Gallant, Valerio Mante, 2005, The Journal of Neuroscience.

Imaging valuation models in human choice.

Jonathan D. Cohen, P. Montague, B. King-Casas, 2006, Annual review of neuroscience.

Cortical networks of dynamic scene category representation in the human brain

J. Gallant, T. Çukur, Ibrahim Kiremitçi, 2021, Cortex.

The Cortical Representation of Language Timescales is Shared between Reading and Listening

D. Klein, J. Gallant, Fatma Deniz, 2023, bioRxiv.

Reconstructing Visual Experiences from Brain Activity Evoked by Natural Movies

J. Gallant, A. Vu, Thomas Naselaris, 2011, Current Biology.

Natural speech reveals the semantic maps that tile human cerebral cortex

Alexander G. Huth, Wendy A. de Heer, T. Griffiths, 2016, Nature.

Representation of object contour features in intermediate visual areas in the human brain

Jack L. Gallant, Shinji Nishimoto, Mark D. Lescroart, 2013 .

Decoding human visual cortical activity evoked by continuous time-varying movies

Jack L. Gallant, Shinji Nishimoto, An Vu, 2010 .

Category-based attention shifts tuning toward the target object category during natural visual search

Jack L. Gallant, Shinji Nishimoto, Alexander G. Huth, 2012 .

Human visual areas invariant to eye movements during natural vision

Jack L. Gallant, Shinji Nishimoto, Alexander G. Huth, 2013 .

Intermediate human visual areas represent the locations of silhouette edges in natural movies

Jack L. Gallant, Shinji Nishimoto, Mark D. Lescroart, 2014 .

Attention to Stimulus Features Shifts Spectral Tuning of V4 Neurons during Natural Vision

J. Gallant, S. David, B. Hayden, 2008, Neuron.

Shape Perception: Complex Contour Representation in Visual Area V4

Jack L. Gallant, J. Gallant, Kate Gustavsen, 2003, Current Biology.

Natural Scene Statistics Account for the Representation of Scene Categories in Human Visual Cortex

J. Gallant, Thomas Naselaris, D. Stansbury, 2013, Neuron.

Eye movement-invariant representations in the human visual system

Jack L. Gallant, Shinji Nishimoto, Alexander G. Huth, 2017, Journal of vision.

Bayesian Reconstruction of Perceptual Experiences from Human Brain Activity

Ryan J. Prenger, Jack L. Gallant, Kendrick N. Kay, 2009, HCI.