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Jack L. Gallant
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2020 – today
- 2024
- [c4]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: 1565-1578 - 2022
- [j12]Tom Dupré la Tour
, Michael Eickenberg, Anwar Nunez-Elizalde, Jack L. Gallant:
Feature-space selection with banded ridge regression. NeuroImage 264: 119728 (2022) - 2020
- [i3]Polina Golland, Jack L. Gallant, Greg Hager, Hanspeter Pfister, Christos H. Papadimitriou, Stefan Schaal, Joshua T. Vogelstein:
A New Age of Computing and the Brain. CoRR abs/2004.12926 (2020)
2010 – 2019
- 2019
- [j11]Anwar Nunez-Elizalde
, Alexander G. Huth, Jack L. Gallant:
Voxelwise encoding models with non-spherical multivariate normal priors. NeuroImage 197: 482-492 (2019) - 2018
- [j10]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): 890 (2018) - 2016
- [j9]Natalia Y. Bilenko, Jack L. Gallant:
Pyrcca: Regularized Kernel Canonical Correlation Analysis in Python and Its Applications to Neuroimaging. Frontiers Neuroinformatics 10: 49 (2016) - [j8]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): 453-458 (2016) - 2015
- [j7]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: 135 (2015) - [j6]James S. Gao, Alexander G. Huth, Mark D. Lescroart, Jack L. Gallant:
Pycortex: an interactive surface visualizer for fMRI. Frontiers Neuroinformatics 9: 23 (2015) - [j5]Thomas Naselaris, Cheryl A. Olman
, Dustin E. Stansbury, Kâmil Ugurbil, Jack L. Gallant:
A voxel-wise encoding model for early visual areas decodes mental images of remembered scenes. NeuroImage 105: 215-228 (2015) - [i2]Natalia Y. Bilenko, Jack L. Gallant:
Pyrcca: regularized kernel canonical correlation analysis in Python and its applications to neuroimaging. CoRR abs/1503.01538 (2015) - 2014
- [i1]Pulkit Agrawal, Dustin Stansbury, Jitendra Malik, Jack L. Gallant:
Pixels to Voxels: Modeling Visual Representation in the Human Brain. CoRR abs/1407.5104 (2014) - 2011
- [j4]Thomas Naselaris, Kendrick N. Kay
, Shinji Nishimoto
, Jack L. Gallant:
Encoding and decoding in fMRI. NeuroImage 56(2): 400-410 (2011)
2000 – 2009
- 2009
- [c3]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: 390-393 - 2008
- [j3]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): 1537-1564 (2008) - [c2]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: 1337-1344 - 2004
- [j2]Kathleen A. Hansen, Stephen V. David
, Jack L. Gallant:
Parametric reverse correlation reveals spatial linearity of retinotopic human V1 BOLD response. NeuroImage 23(1): 233-241 (2004) - [j1]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): 663-679 (2004)
1990 – 1999
- 1997
- [c1]William E. Vinje, Jack L. Gallant:
Modeling Complex Cells in an Awake Macaque during Natural Image Viewing. NIPS 1997: 236-242
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