New York University
Papers and research supported in part or in whole by The Swartz Foundation
V. Fascianelli, A. Battista, F. Stefanini, S. Tsujimoto, A. Genovesio, and S. Fusi,
"Neural representational geometries correlate with behavioral differences in monkeys and recurrent neural networks,"
bioRxiv Sept 6, 2023
Li and Curtis,
"Neural population dynamics of human working memory," Current Biology, August 2023;S0960-9822(23)01039-4
(abstract only available at this link)
Ulises Pereira-Obilinovic, Johnatan Aljadeff, Nicolas Brunel
Forgetting leads to chaos in attractor networks, arXiv preprint arXiv:2112.00119, 2021
Stefano Recanatesi, Ulises Pereira-Obilinovic, Masayoshi Murakami, Zachary Mainen, Luca Mazzucato,
Metastable attractors explain the variable timing of stable behavioral action sequences, Neuron 110, 139–153, January 5, 2022
Theory of the Multiregional Neocortex: Large-Scale Neural Dynamics and Distributed Cognition, Annu. Rev. Neurosci. 2022. 45:533–60
Aljadeff, A, Gillett, M, Pereira Obilinovic, U, Brunel, N.
From synapse to network: models of information storage and retrieval in neural circuits, Current Opinion in Neurobiology 2021, 70:24–33
Cai, Y, Wu, T, Tao, L, Xiao, ZC.
Model Reduction Captures Stochastic Gamma Oscillations on Low-Dimensional Manifolds, Front Comput Neurosci, 15:678688. (2021)
Xiao, ZC, Ulises Pereira, U, Rosa, M, Kennedy, H.
Brain connectomes come of age, Current Opinion in Neurobiology 2020, 65:152–161
Burns SP, Xing D, Shelley MJ, Shapley RM.
Searching for autocoherence in the cortical network with a time-frequency analysis of the local field potential. J Neurosci. 30(11):4033–47.
Curtu R, Shprio A, Rubin N, Rinzel J.
Mechanisms for frequency control in neuronal competition models. SIAM J Applied Dynamical Systems 2008 7: 609–649.
Kang K, Shapley RM, Sompolinsky H.
Information tuning of populations of neurons in primary visual cortex. J Neurosci. 2004 Apr 14;24(15):3726–35.
Kang K, Shelley M, Sompolinsky H.
Mexican hats and pinwheels in visual cortex. Proc Natl Acad Sci U S A. 2003 Mar 4;100(5):2848-53.
Koelling M, Shapley R, Shelley M.
Retinal and cortical nonlinearities combine to produce masking in V1 responses to plaids. J Comput Neurosci. 2008 Oct;25(2):390-400.
Moreno-Bote R, Rinzel J, Rubin N.
Noise-induced alternations in an attractor network model of perceptual bistability. J Neurophysiol. 2007 Sep;98(3):1125-39.
Moreno-Bote R, Shpiro A, Rinzel J, Rubin N.
Bi-stable depth ordering of superimposed moving gratings. J Vis. 2008 Jul 31;8(7):20.1-13.
Tao L, Shelley M, McLaughlin D, Shapley R.
An egalitarian network model for the emergence of simple and complex cells in visual cortex. Proc Natl Acad Sci U S A. 2004 Jan 6;101(1):366-71.
Shprio A, Moreno-Bote R, Rubin N, Rinzel J.
Balance between noise and adaptation in competition models of perceptual bistability. J Comput Neurosci 2009 27: 37-54.
Shpiro A, Curtu R, Rinzel J, Rubin N.
Dynamical characteristics common to neuronal competition models. J Neurophysiol 2007 97: 462-73.
Xing D, Yeh CI, Shapley RM.
Spatial spread of the local field potential and its laminar variation in visual cortex. J Neurosci. 2009 Sep 16;29(37):11540-9.
Yeh CI, Xing D, Shapley RM.
"Black" responses dominate macaque primary visual cortex v1. J Neurosci. 29(38):11753-60.
Yeh CI, Xing D, Williams PE, Shapley RM.
Stimulus ensemble and cortical layer determine V1 spatial receptive fields. Proc Natl Acad Sci U S A. 2009 Aug 25;106(34):14652-7.
Zhu W, Shelley M, Shapley R.
A neuronal network model of primary visual cortex explains spatial frequency selectivity. J Comput Neurosci. 2009 Apr;26(2):271-87.
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Tuesday, December 5, 2023
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