NYU

Papers and research supported in part or in whole by The Swartz Foundation

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.

http://www.ncbi.nlm.nih.gov/pubmed/20237274

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. Available online at:

http://siamdl.aip.org/getpdf/servlet/GetPDFServlet?filetype=pdf&id=SJADAY000007000002000609000001&idtype=cvips

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. Available online at:

http://www.springerlink.com/content/748h42205854124m/fulltext.html

Shpiro A, Curtu R, Rinzel J, Rubin N. Dynamical characteristics common to neuronal competition models. J Neurophysiol 2007 97: 462-73. Available online at:

http://jn.physiology.org/cgi/content/full/97/1/462

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.

Abstract

Yeh CI, Xing D, Shapley RM. "Black" responses dominate macaque primary visual cortex v1. J Neurosci. 29(38):11753-60.

http://www.ncbi.nlm.nih.gov/pubmed/19776262

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.

Abstract

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.