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Neural Computation|October 9, 2024
Fine Granularity Is Critical for Intelligent Neural Network PruningAlex Heyman, Joel Zylberberg
Neural Networks : the Official Journal of the International Neural Network Society|July 15, 2018
A self-organizing short-term dynamical memory networkCallie Federer, Joel Zylberberg
Plos Computational Biology|September 7, 2013
Sparse coding models can exhibit decreasing sparseness while learning sparse codes for natural imagesJoel Zylberberg, Michael Robert DeWeese
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|January 15, 2016
Input nonlinearities can shape beyond-pairwise correlations and improve information transmission by neural populationsJoel Zylberberg, Eric Shea-Brown
Annual Review of Neuroscience|August 4, 2017
Mechanisms of Persistent Activity in Cortical Circuits: Possible Neural Substrates for Working MemoryJoel Zylberberg, Ben W Strowbridge
Frontiers in Computational Neuroscience|May 12, 2011
How should prey animals respond to uncertain threats?Joel Zylberberg, Michael Robert Deweese
Plos Computational Biology|March 4, 2014
The sign rule and beyond: boundary effects, flexibility, and noise correlations in neural population codesYu Hu, Joel Zylberberg, Eric Shea-Brown
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|June 21, 2020
Global Motion Processing by Populations of Direction-Selective Retinal Ganglion CellsJon Cafaro, Joel Zylberberg, Greg D Field
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|February 2, 2013
Dead leaves and the dirty ground: low-level image statistics in transmissive and occlusive imaging environmentsJoel Zylberberg, David Pfau, Michael Robert Deweese
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