Jack L. Gallant

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 6

Top Topics

Risk Minimization

Kernel Canonical Correlation Analysis

Top Venues

Frontiers Neuroinformatics

Publications

Christopher Strong, Kaylene C. Stocking, Jingqi Li, Tianjiao Zhang, Jack L. Gallant, Claire J. Tomlin
A framework for evaluating human driver models using neuroimaging. L4DC (2024)
Tom Dupré la Tour, Michael Eickenberg, Anwar Nunez-Elizalde, Jack L. Gallant
Feature-space selection with banded ridge regression. NeuroImage 264 (2022)
Anwar Nunez-Elizalde, Alexander G. Huth, Jack L. Gallant
Voxelwise encoding models with non-spherical multivariate normal priors. NeuroImage 197 (2019)
Anwar Nunez-Elizalde, James S. Gao, Tianjiao Zhang, Jack L. Gallant
cottoncandy: scientific python package for easy cloud storage. J. Open Source Softw. 3 (28) (2018)
Alexander G. Huth, Wendy A. de Heer, Thomas L. Griffiths, Frédéric E. Theunissen, Jack L. Gallant
Natural speech reveals the semantic maps that tile human cerebral cortex. Nat. 532 (7600) (2016)
Natalia Y. Bilenko, Jack L. Gallant
Pyrcca: Regularized Kernel Canonical Correlation Analysis in Python and Its Applications to Neuroimaging. Frontiers Neuroinformatics 10 (2016)
Mark D. Lescroart, Dustin E. Stansbury, Jack L. Gallant
Fourier power, subjective distance, and object categories all provide plausible models of BOLD responses in scene-selective visual areas. Frontiers Comput. Neurosci. 9 (2015)
Natalia Y. Bilenko, Jack L. Gallant
Pyrcca: regularized kernel canonical correlation analysis in Python and its applications to neuroimaging. CoRR (2015)
Thomas Naselaris, Cheryl A. Olman, Dustin E. Stansbury, Kamil Ugurbil, Jack L. Gallant
A voxel-wise encoding model for early visual areas decodes mental images of remembered scenes. NeuroImage 105 (2015)
James S. Gao, Alexander G. Huth, Mark D. Lescroart, Jack L. Gallant
Pycortex: an interactive surface visualizer for fMRI. Frontiers Neuroinformatics 9 (2014)
Pulkit Agrawal, Dustin Stansbury, Jitendra Malik, Jack L. Gallant
Pixels to Voxels: Modeling Visual Representation in the Human Brain. CoRR (2014)
Thomas Naselaris, Kendrick N. Kay, Shinji Nishimoto, Jack L. Gallant
Encoding and decoding in fMRI. NeuroImage 56 (2) (2011)
Jack L. Gallant, Thomas Naselaris, Ryan J. Prenger, Kendrick N. Kay, Dustin Stansbury, Michael Oliver, An Vu, Shinji Nishimoto
Bayesian Reconstruction of Perceptual Experiences from Human Brain Activity. HCI (16) (2009)
Pradeep Ravikumar, Vincent Q. Vu, Bin Yu, Thomas Naselaris, Kendrick N. Kay, Jack L. Gallant
Nonparametric sparse hierarchical models describe V1 fMRI responses to natural images. NIPS (2008)
Ben D. B. Willmore, Ryan J. Prenger, Michael C.-K. Wu, Jack L. Gallant
The Berkeley Wavelet Transform: A Biologically Inspired Orthogonal Wavelet Transform. Neural Comput. 20 (6) (2008)
Ryan J. Prenger, Michael C.-K. Wu, Stephen V. David, Jack L. Gallant
Nonlinear V1 responses to natural scenes revealed by neural network analysis. Neural Networks 17 (5-6) (2004)
Kathleen A. Hansen, Stephen V. David, Jack L. Gallant
Parametric reverse correlation reveals spatial linearity of retinotopic human V1 BOLD response. NeuroImage 23 (1) (2004)
William E. Vinje, Jack L. Gallant
Modeling Complex Cells in an Awake Macaque during Natural Image Viewing. NIPS (1997)