Joel Zylberberg, Ph.D.

Affiliations: 
Physiology and Biophysics University of Colorado School of Medicine, Aurora, CO, United States 
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"Joel Zylberberg"
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SNBCP
Cross-listing: Physics Tree

Parents

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Michael Robert DeWeese grad student 2012 York University
 (From scenes to spikes: Understanding vision from the outside in.)
Eric Shea-Brown post-doc 2012-2015 University of Washington
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Publications

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Cafaro J, Zylberberg J, Field G. (2020) Global motion processing by populations of direction-selective retinal ganglion cells. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience
Cayco-Gajic NA, Zylberberg J, Shea-Brown E. (2018) A Moment-Based Maximum Entropy Model for Fitting Higher-Order Interactions in Neural Data. Entropy (Basel, Switzerland). 20
Zylberberg J, Pouget A, Latham PE, et al. (2017) Robust information propagation through noisy neural circuits. Plos Computational Biology. 13: e1005497
Zylberberg J, Cafaro J, Turner MH, et al. (2016) Direction-Selective Circuits Shape Noise to Ensure a Precise Population Code. Neuron. 89: 369-83
Zylberberg J, Shea-Brown E. (2015) Input nonlinearities can shape beyond-pairwise correlations and improve information transmission by neural populations. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 92: 062707
Zylberberg J, Hyde RA, Strowbridge BW. (2015) Dynamics of robust pattern separability in the hippocampal dentate gyrus. Hippocampus
Cayco-Gajic NA, Zylberberg J, Shea-Brown E. (2015) Triplet correlations among similarly tuned cells impact population coding. Frontiers in Computational Neuroscience. 9: 57
Cayco-Gajic NA, Zylberberg J, Shea-Brown E. (2015) Triplet correlations among similarly tuned cells impact population coding Frontiers in Computational Neuroscience. 9
Hu Y, Zylberberg J, Shea-Brown E. (2014) The sign rule and beyond: boundary effects, flexibility, and noise correlations in neural population codes. Plos Computational Biology. 10: e1003469
Zylberberg J, DeWeese MR. (2013) Sparse coding models can exhibit decreasing sparseness while learning sparse codes for natural images. Plos Computational Biology. 9: e1003182
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