Joel Zylberberg, Ph.D.
Affiliations: | Physiology and Biophysics | University of Colorado School of Medicine, Aurora, CO, United States |
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"Joel Zylberberg"Mean distance: 15.07 (cluster 17) | S | N | B | C | P |
Cross-listing: Physics Tree
Parents
Sign in to add mentor| Michael R. 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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| Tang D, Zylberberg J, Jia X, et al. (2023) Stimulus-dependent functional network topology in mouse visual cortex. Biorxiv : the Preprint Server For Biology |
| Ruda K, Zylberberg J, Field GD. (2020) Ignoring correlated activity causes a failure of retinal population codes. Nature Communications. 11: 4605 |
| Federer C, Xu H, Fyshe A, et al. (2020) Improved object recognition using neural networks trained to mimic the brain's statistical properties. Neural Networks : the Official Journal of the International Neural Network Society. 131: 103-114 |
| 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 |
| Pruszynski JA, Zylberberg J. (2019) The language of the brain: real-world neural population codes. Current Opinion in Neurobiology. 58: 30-36 |
| 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 |
| Cayco-Gajic N, Zylberberg J, Shea-Brown E. (2018) A Moment-Based Maximum Entropy Model for Fitting Higher-Order Interactions in Neural Data Entropy. 20: 489 |
| Zylberberg J, Strowbridge BW. (2017) Mechanisms of Persistent Activity in Cortical Circuits: Possible Neural Substrates for Working Memory. Annual Review of Neuroscience. 40: 603-627 |
| 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 |