Sotabase

Career

· Professor in the Helen Wills Neuroscience Institute, School of Optometry, and affiliated in EECS, UC Berkeley2005–
· Faculty in the Center for Neuroscience, UC Davis1996–2005

Publications (200)

Emergence of simple-cell receptive field properties by learning a sparse code for natural images
Nature · 1996
6,314
cited
Sparse coding with an overcomplete basis set: A strategy employed by V1?
Vision Research · 1997
3,983
cited
Natural image statistics and neural representation.
Annual Review of Neuroscience · 2001
2,513
cited
Tent: Fully Test-Time Adaptation by Entropy Minimization
International Conference on Learning Representations · 2021
1,525
cited
Sparse coding of sensory inputs
Current Opinion in Neurobiology · 2004
1,512
cited
Natural image statistics and efficient coding.
Network · 1996
680
cited
Do We Know What the Early Visual System Does?
Journal of Neuroscience · 2005
673
cited
Shape perception reduces activity in human primary visual cortex
Proceedings of the National Academy of Sciences of the United States of America · 2002
511
cited
Sparse Coding via Thresholding and Local Competition in Neural Circuits
Neural Computation · 2008
488
cited
Book Review
Journal of Cognitive Neuroscience · 2003
487
cited
How Close Are We to Understanding V1?
Neural Computation · 2005
473
cited
Probabilistic Models of the Brain: Perception and Neural Function
2002
417
cited
PROBABILISTIC FRAMEWORK FOR THE ADAPTATION AND COMPARISON OF IMAGE CODES
1999
351
cited
Timecourse of neural signatures of object recognition.
Journal of Vision · 2003
272
cited
Catalyzing next-generation Artificial Intelligence through NeuroAI
Nature Communications · 2022
258
cited
Learning Sparse Codes for Hyperspectral Imagery
IEEE Journal on Selected Topics in Signal Processing · 2011
199
cited
Lamina Propria and Olfactory Bulb Ensheathing Cells Exhibit Differential Integration and Migration and Promote Differential Axon Sprouting in the Lesioned Spinal Cord
Journal of Neuroscience · 2005
197
cited
Discovering Hidden Factors of Variation in Deep Networks
International Conference on Learning Representations · 2014
196
cited
Processing shape, motion and three-dimensional shape-from-motion in the human cortex.
Cerebral Cortex · 2003
153
cited
High-Dimensional Computing as a Nanoscalable Paradigm
IEEE Transactions on Circuits and Systems Part 1: Regular Papers · 2017
136
cited
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