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Titolo:
Computational modeling of orientation tuning dynamics in monkey primary visual cortex
Autore:
Pugh, MC; Ringach, DL; Shapley, R; Shelley, MJ;
Indirizzi:
Univ Penn, Dept Math, Philadelphia, PA 19104 USA Univ Penn Philadelphia PA USA 19104 Dept Math, Philadelphia, PA 19104 USA Univ Calif Los Angeles, Dept Neurobiol, Los Angeles, CA 90095 USA Univ Calif Los Angeles Los Angeles CA USA 90095 Los Angeles, CA 90095 USA Univ Calif Los Angeles, Dept Psychol, Los Angeles, CA 90095 USA Univ CalifLos Angeles Los Angeles CA USA 90095 Los Angeles, CA 90095 USA NYU, Ctr Neural Sci, New York, NY 10003 USA NYU New York NY USA 10003NYU, Ctr Neural Sci, New York, NY 10003 USA NYU, Courant Inst Math Sci, New York, NY 10012 USA NYU New York NY USA 10012 , Courant Inst Math Sci, New York, NY 10012 USA
Titolo Testata:
JOURNAL OF COMPUTATIONAL NEUROSCIENCE
fascicolo: 2, volume: 8, anno: 2000,
pagine: 143 - 159
SICI:
0929-5313(200003/04)8:2<143:CMOOTD>2.0.ZU;2-1
Fonte:
ISI
Lingua:
ENG
Soggetto:
CATS STRIATE CORTEX; RECEPTIVE-FIELD STRUCTURE; SIMPLE CELLS; DIRECTIONAL SELECTIVITY; SPATIOTEMPORAL ORGANIZATION; SPATIAL SUMMATION; NEURONS; RESPONSES;
Keywords:
cortical dynamics; orientation tuning; monkey; primary visual cortex; layers;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Life Sciences
Citazioni:
45
Recensione:
Indirizzi per estratti:
Indirizzo: Pugh, MC Univ Penn, Dept Math, 209 S 33rd St, Philadelphia, PA 19104 USA Univ Penn 209 S 33rd St Philadelphia PA USA 19104 a, PA 19104 USA
Citazione:
M.C. Pugh et al., "Computational modeling of orientation tuning dynamics in monkey primary visual cortex", J COMPUT N, 8(2), 2000, pp. 143-159

Abstract

In the primate visual pathway, orientation tuning of neurons is first observed in the primary visual cortex. The LGN cells that comprise the thalamicinput to V1 are not orientation tuned, but some yl neurons are quite selective. Two main classes of theoretical models have been offered to explain orientation selectivity: feedforward models, in which inputs from spatially aligned LGN cells are summed together by one cortical neuron; and feedback models, in which an initial weak orientation bias due to convergent LGN input is sharpened and amplified by intracortical feedback. Recent data on thedynamics of orientation tuning, obtained by a cross-correlation technique,may help to distinguish between these classes of models. To test this possibility, we simulated the measurement of orientation tuning dynamics on various receptive field models, including a simple Hubel-Wiesel type feedforward model: a linear spatiotemporal filter followed by an integrate-and-fire spike generator The computational study reveals that simple feedforward models may account for some aspects of the experimental data but fail to explain many salient features of orientation tuning dynamics in V1 cells. A simple feedback model of interacting cells is also considered. This model is successful in explaining the appearance of Mexican-hat orientation profiles, but other features of the data continue to be unexplained.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 07/07/20 alle ore 05:49:16