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Joel L Zylberberg

TitleAsst Professor
InstitutionUniversity of Colorado Denver - Anschutz Medical Campus
DepartmentSOM - Physiology

    Collapse Bibliographic 
    Collapse selected publications
    Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
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    1. Federer C, Zylberberg J. A self-organizing short-term dynamical memory network. Neural Netw. 2018 Oct; 106:30-41. PMID: 30007123.
      View in: PubMed
    2. Zylberberg J, Strowbridge BW. Mechanisms of Persistent Activity in Cortical Circuits: Possible Neural Substrates for Working Memory. Annu Rev Neurosci. 2017 07 25; 40:603-627. PMID: 28772102.
      View in: PubMed
    3. Zylberberg J, Pouget A, Latham PE, Shea-Brown E. Robust information propagation through noisy neural circuits. PLoS Comput Biol. 2017 04; 13(4):e1005497. PMID: 28419098.
      View in: PubMed
    4. Zylberberg J, Cafaro J, Turner MH, Shea-Brown E, Rieke F. Direction-Selective Circuits Shape Noise to Ensure a Precise Population Code. Neuron. 2016 Jan 20; 89(2):369-383. PMID: 26796691; PMCID: PMC4724064 [Available on 01/20/17].
    5. Zylberberg J, Shea-Brown E. Input nonlinearities can shape beyond-pairwise correlations and improve information transmission by neural populations. Phys Rev E Stat Nonlin Soft Matter Phys. 2015 Dec; 92(6):062707. PMID: 26764727.
      View in: PubMed
    6. Zylberberg J, Hyde RA, Strowbridge BW. Dynamics of robust pattern separability in the hippocampal dentate gyrus. Hippocampus. 2016 May; 26(5):623-32. PMID: 26482936.
      View in: PubMed
    7. Cayco-Gajic NA, Zylberberg J, Shea-Brown E. Triplet correlations among similarly tuned cells impact population coding. Front Comput Neurosci. 2015; 9:57. PMID: 26042024; PMCID: PMC4435073.
    8. Hu Y, Zylberberg J, Shea-Brown E. The sign rule and beyond: boundary effects, flexibility, and noise correlations in neural population codes. PLoS Comput Biol. 2014 Feb; 10(2):e1003469. PMID: 24586128; PMCID: PMC3937411.
    9. Zylberberg J, DeWeese MR. Sparse coding models can exhibit decreasing sparseness while learning sparse codes for natural images. PLoS Comput Biol. 2013; 9(8):e1003182. PMID: 24009489; PMCID: PMC3757070.
    10. King PD, Zylberberg J, DeWeese MR. Inhibitory interneurons decorrelate excitatory cells to drive sparse code formation in a spiking model of V1. J Neurosci. 2013 Mar 27; 33(13):5475-85. PMID: 23536063.
      View in: PubMed
    11. Zylberberg J, Pfau D, Deweese MR. Dead leaves and the dirty ground: low-level image statistics in transmissive and occlusive imaging environments. Phys Rev E Stat Nonlin Soft Matter Phys. 2012 Dec; 86(6 Pt 2):066112. PMID: 23368009.
      View in: PubMed
    12. 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 Comput Biol. 2011 Oct; 7(10):e1002250. PMID: 22046123; PMCID: PMC3203062.
    13. Zylberberg J, Deweese MR. How should prey animals respond to uncertain threats? Front Comput Neurosci. 2011; 5:20. PMID: 21559347; PMCID: PMC3085230.
    14. Zhao GB, Pogosian L, Silvestri A, Zylberberg J. Cosmological tests of general relativity with future tomographic surveys. Phys Rev Lett. 2009 Dec 11; 103(24):241301. PMID: 20366194.
      View in: PubMed
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