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Tao, L., Cai, D., McLaughlin, D. W., Shelley, M. J., Shapley, R. (2006) Orientation selectivity in visual cortex by fluctuation-controlled criticality. Proceedings of the National Academy of Sciences, 103 (34) 12911-12916 doi:10.1073/pnas.0605415103

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Reference TypeJournal (article/letter/editorial)
TitleOrientation selectivity in visual cortex by fluctuation-controlled criticality
JournalProceedings of the National Academy of Sciences
AuthorsTao, L.Author
Cai, D.Author
McLaughlin, D. W.Author
Shelley, M. J.Author
Shapley, R.Author
Year2006 (August 22)Volume103
Issue34
PublisherProceedings of the National Academy of Sciences
DOIdoi:10.1073/pnas.0605415103Search in ResearchGate
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Mindat Ref. ID1729863Long-form Identifiermindat:1:5:1729863:4
GUID0
Full ReferenceTao, L., Cai, D., McLaughlin, D. W., Shelley, M. J., Shapley, R. (2006) Orientation selectivity in visual cortex by fluctuation-controlled criticality. Proceedings of the National Academy of Sciences, 103 (34) 12911-12916 doi:10.1073/pnas.0605415103
Plain TextTao, L., Cai, D., McLaughlin, D. W., Shelley, M. J., Shapley, R. (2006) Orientation selectivity in visual cortex by fluctuation-controlled criticality. Proceedings of the National Academy of Sciences, 103 (34) 12911-12916 doi:10.1073/pnas.0605415103
In(2006, August) Proceedings of the National Academy of Sciences Vol. 103 (34) Proceedings of the National Academy of Sciences

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McLaughlin, D., Shapley, R., Shelley, M., Wielaard, D. J. (2000) A neuronal network model of macaque primary visual cortex (V1): Orientation selectivity and dynamics in the input layer 4Calpha. Proceedings of the National Academy of Sciences, 97 (14) 8087-8092 doi:10.1073/pnas.110135097
Cai, D., Tao, L., Shelley, M., McLaughlin, D. W. (2004) An effective kinetic representation of fluctuation-driven neuronal networks with application to simple and complex cells in visual cortex. Proceedings of the National Academy of Sciences, 101 (20) 7757-7762 doi:10.1073/pnas.0401906101
Tao, L., Shelley, M., McLaughlin, D., Shapley, R. (2004) An egalitarian network model for the emergence of simple and complex cells in visual cortex. Proceedings of the National Academy of Sciences, 101 (1) 366-371 doi:10.1073/pnas.2036460100
Xing, D., Yeh, C.-I., Burns, S., Shapley, R. M. (2012) Laminar analysis of visually evoked activity in the primary visual cortex. Proceedings of the National Academy of Sciences, 109 (34) 13871-13876 doi:10.1073/pnas.1201478109
Rangan, A. V., Cai, D., McLaughlin, D. W. (2005) Modeling the spatiotemporal cortical activity associated with the line-motion illusion in primary visual cortex. Proceedings of the National Academy of Sciences, 102 (52) 18793-18800 doi:10.1073/pnas.0509481102
Cai, D., Tao, L., McLaughlin, D. W. (2004) An embedded network approach for scale-up of fluctuation-driven systems with preservation of spike information. Proceedings of the National Academy of Sciences, 101 (39) 14288-14293 doi:10.1073/pnas.0404062101
Xing, D., Yeh, C.-I., Gordon, J., Shapley, R. M. (2014) Cortical brightness adaptation when darkness and brightness produce different dynamical states in the visual cortex. Proceedings of the National Academy of Sciences, 111 (3) 1210-1215 doi:10.1073/pnas.1314690111
Wilke, M., Logothetis, N. K., Leopold, D. A. (2006) Local field potential reflects perceptual suppression in monkey visual cortex. Proceedings of the National Academy of Sciences, 103 (46) 17507-17512 doi:10.1073/pnas.0604673103
Chariker, Logan, Shapley, Robert, Hawken, Michael, Young, Lai-Sang (2021) A theory of direction selectivity for macaque primary visual cortex. Proceedings of the National Academy of Sciences, 118 (32) doi:10.1073/pnas.2105062118
Paik, S.-B., Ringach, D. L. (2012) Link between orientation and retinotopic maps in primary visual cortex. Proceedings of the National Academy of Sciences, 109 (18) 7091-7096 doi:10.1073/pnas.1118926109
Nuzzo, R. (2006) Profile of David W. McLaughlin. Proceedings of the National Academy of Sciences, 103 (20) 7539-7541 doi:10.1073/pnas.0602260103
 
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