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Joel Zylberberg, Ph.D. - Publications

Affiliations: 
Physiology and Biophysics University of Colorado School of Medicine, Aurora, CO, United States 
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28 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2024 Idrees S, Manookin MB, Rieke F, Field GD, Zylberberg J. Biophysical neural adaptation mechanisms enable artificial neural networks to capture dynamic retinal computation. Nature Communications. 15: 5957. PMID 39009568 DOI: 10.1038/s41467-024-50114-5  0.653
2024 Tang D, Zylberberg J, Jia X, Choi H. Stimulus type shapes the topology of cellular functional networks in mouse visual cortex. Nature Communications. 15: 5753. PMID 38982078 DOI: 10.1038/s41467-024-49704-0  0.516
2023 Tang D, Zylberberg J, Jia X, Choi H. Stimulus-dependent functional network topology in mouse visual cortex. Biorxiv : the Preprint Server For Biology. PMID 37461471 DOI: 10.1101/2023.07.03.547364  0.516
2020 Ruda K, Zylberberg J, Field GD. Ignoring correlated activity causes a failure of retinal population codes. Nature Communications. 11: 4605. PMID 32929073 DOI: 10.1038/S41467-020-18436-2  0.437
2020 Federer C, Xu H, Fyshe A, Zylberberg J. 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. PMID 32771841 DOI: 10.1016/J.Neunet.2020.07.013  0.327
2020 Cafaro J, Zylberberg J, Field G. Global motion processing by populations of direction-selective retinal ganglion cells. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. PMID 32561674 DOI: 10.1523/Jneurosci.0564-20.2020  0.374
2019 Pruszynski JA, Zylberberg J. The language of the brain: real-world neural population codes. Current Opinion in Neurobiology. 58: 30-36. PMID 31326721 DOI: 10.1016/J.Conb.2019.06.005  0.356
2018 Cayco-Gajic NA, Zylberberg J, Shea-Brown E. A Moment-Based Maximum Entropy Model for Fitting Higher-Order Interactions in Neural Data. Entropy (Basel, Switzerland). 20. PMID 33265579 DOI: 10.3390/e20070489  0.639
2018 Cayco-Gajic N, Zylberberg J, Shea-Brown E. A Moment-Based Maximum Entropy Model for Fitting Higher-Order Interactions in Neural Data Entropy. 20: 489. DOI: 10.3390/E20070489  0.608
2017 Zylberberg J, Strowbridge BW. Mechanisms of Persistent Activity in Cortical Circuits: Possible Neural Substrates for Working Memory. Annual Review of Neuroscience. 40: 603-627. PMID 28772102 DOI: 10.1146/Annurev-Neuro-070815-014006  0.326
2017 Zylberberg J, Pouget A, Latham PE, Shea-Brown E. Robust information propagation through noisy neural circuits. Plos Computational Biology. 13: e1005497. PMID 28419098 DOI: 10.1371/Journal.Pcbi.1005497  0.677
2016 Zylberberg J, Cafaro J, Turner MH, Shea-Brown E, Rieke F. Direction-Selective Circuits Shape Noise to Ensure a Precise Population Code. Neuron. 89: 369-83. PMID 26796691 DOI: 10.1016/J.Neuron.2015.11.019  0.68
2015 Zylberberg J, Shea-Brown E. 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. PMID 26764727 DOI: 10.1103/Physreve.92.062707  0.687
2015 Zylberberg J, Hyde RA, Strowbridge BW. Dynamics of robust pattern separability in the hippocampal dentate gyrus. Hippocampus. PMID 26482936 DOI: 10.1002/Hipo.22546  0.341
2015 Cayco-Gajic NA, Zylberberg J, Shea-Brown E. Triplet correlations among similarly tuned cells impact population coding. Frontiers in Computational Neuroscience. 9: 57. PMID 26042024 DOI: 10.3389/Fncom.2015.00057  0.696
2015 Cayco-Gajic NA, Zylberberg J, Shea-Brown E. Triplet correlations among similarly tuned cells impact population coding Frontiers in Computational Neuroscience. 9. DOI: 10.3389/fncom.2015.00057  0.625
2015 Cayco-Gajic A, Zylberberg J, Shea-Brown E. Curvature of dendritic nonlinearities modulates higher-order spiking correlations Bmc Neuroscience. 16. DOI: 10.1186/1471-2202-16-S1-P227  0.652
2015 Zylberberg J, Cafaro J, Turner M, Rieke F, Shea-Brown E. Limited range correlations, when modulated by firing rate, can substantially improve neural population coding Bmc Neuroscience. 16. DOI: 10.1186/1471-2202-16-S1-O16  0.695
2014 Hu Y, Zylberberg J, Shea-Brown E. The sign rule and beyond: boundary effects, flexibility, and noise correlations in neural population codes. Plos Computational Biology. 10: e1003469. PMID 24586128 DOI: 10.1371/Journal.Pcbi.1003469  0.694
2014 Zylberberg J, Shea-Brown E. When does recurrent connectivity improve neural population coding? Bmc Neuroscience. 15. DOI: 10.1186/1471-2202-15-S1-P49  0.702
2013 Zylberberg J, DeWeese MR. Sparse coding models can exhibit decreasing sparseness while learning sparse codes for natural images. Plos Computational Biology. 9: e1003182. PMID 24009489 DOI: 10.1371/Journal.Pcbi.1003182  0.702
2013 King PD, Zylberberg J, DeWeese MR. Inhibitory interneurons decorrelate excitatory cells to drive sparse code formation in a spiking model of V1. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 33: 5475-85. PMID 23536063 DOI: 10.1523/Jneurosci.4188-12.2013  0.706
2013 Marzen SE, Zylberberg J, DeWeese MR. How efficient coding of binocular disparity statistics in the primary visual cortex influences eye rotation strategy Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-O7  0.727
2013 Zylberberg J, Turner M, Hu Y, Cafaro J, Schwartz G, Rieke F, Shea-Brown E. Consistency requirements determine optimal noise correlations in neural populations Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-F1  0.68
2013 Marzen S, Zylberberg J, DeWeese M. Modified visuomotor optimization theory to explain Listing's Law Journal of Vision. 13: 519-519. DOI: 10.1167/13.9.519  0.631
2012 Zylberberg J, Pfau D, Deweese MR. Dead leaves and the dirty ground: low-level image statistics in transmissive and occlusive imaging environments. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 86: 066112. PMID 23368009 DOI: 10.1103/Physreve.86.066112  0.614
2011 Zylberberg J, Murphy JT, DeWeese MR. A sparse coding model with synaptically local plasticity and spiking neurons can account for the diverse shapes of V1 simple cell receptive fields. Plos Computational Biology. 7: e1002250. PMID 22046123 DOI: 10.1371/Journal.Pcbi.1002250  0.693
2011 Zylberberg J, Deweese MR. How should prey animals respond to uncertain threats? Frontiers in Computational Neuroscience. 5: 20. PMID 21559347 DOI: 10.3389/Fncom.2011.00020  0.611
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