Jack L. Gallant

According to our database, Jack L. Gallant authored at least 18 papers between 1997 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

A framework for evaluating human driver models using neuroimaging.

Christopher Strong, Kaylene C. Stocking, Jingqi Li, Tianjiao Zhang, Jack L. Gallant, Claire J. Tomlin

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

2022

Feature-space selection with banded ridge regression.

Tom Dupré la Tour, Michael Eickenberg, Anwar Nunez-Elizalde, Jack L. Gallant

NeuroImage, 2022

2020

A New Age of Computing and the Brain.

Polina Golland, Jack L. Gallant, Greg Hager, Hanspeter Pfister, Christos H. Papadimitriou, Stefan Schaal, Joshua T. Vogelstein

CoRR, 2020

2019

Voxelwise encoding models with non-spherical multivariate normal priors.

Anwar Nunez-Elizalde, Alexander G. Huth, Jack L. Gallant

NeuroImage, 2019

2018

cottoncandy: scientific python package for easy cloud storage.

Anwar Nunez-Elizalde, James S. Gao, Tianjiao Zhang, Jack L. Gallant

J. Open Source Softw., 2018

2016

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

Alexander G. Huth, Wendy A. de Heer, Thomas L. Griffiths, Frédéric E. Theunissen, Jack L. Gallant

Nat., 2016

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

Natalia Y. Bilenko, Jack L. Gallant

Frontiers Neuroinformatics, 2016

2015

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

Thomas Naselaris, Cheryl A. Olman, Dustin E. Stansbury, Kâmil Ugurbil, Jack L. Gallant

NeuroImage, 2015

Pycortex: an interactive surface visualizer for fMRI.

James S. Gao, Alexander G. Huth, Mark D. Lescroart, Jack L. Gallant

Frontiers Neuroinformatics, 2015

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

Mark D. Lescroart, Dustin E. Stansbury, Jack L. Gallant

Frontiers Comput. Neurosci., 2015

2014

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

Pulkit Agrawal, Dustin Stansbury, Jitendra Malik, Jack L. Gallant

CoRR, 2014

2011

Encoding and decoding in fMRI.

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

NeuroImage, 2011

2009

Bayesian Reconstruction of Perceptual Experiences from Human Brain Activity.

Jack L. Gallant, Thomas Naselaris, Ryan J. Prenger, Kendrick N. Kay, Dustin Stansbury, Michael Oliver, An Vu, Shinji Nishimoto

Proceedings of the Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience, 2009

2008

The Berkeley Wavelet Transform: A Biologically Inspired Orthogonal Wavelet Transform.

Ben D. B. Willmore, Ryan J. Prenger, Michael C.-K. Wu, Jack L. Gallant

Neural Comput., 2008

Nonparametric sparse hierarchical models describe V1 fMRI responses to natural images.

Pradeep Ravikumar, Vincent Q. Vu, Bin Yu, Thomas Naselaris, Kendrick N. Kay, Jack L. Gallant

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2004

Nonlinear V1 responses to natural scenes revealed by neural network analysis.

Ryan J. Prenger, Michael C.-K. Wu, Stephen V. David, Jack L. Gallant

Neural Networks, 2004

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

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

NeuroImage, 2004

1997

Modeling Complex Cells in an Awake Macaque during Natural Image Viewing.

William E. Vinje, Jack L. Gallant

Proceedings of the Advances in Neural Information Processing Systems 10, 1997