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Titolo:
Modeling V1 disparity tuning to time-varying stimuli
Autore:
Chen, YZ; Wang, YJ; Qian, N;
Indirizzi:
Columbia Univ, Ctr Neurobiol & Behav, New York, NY 10032 USA Columbia Univ New York NY USA 10032 obiol & Behav, New York, NY 10032 USA Columbia Univ, Dept Physiol & Cellular Biophys, New York, NY 10032 USA Columbia Univ New York NY USA 10032 lular Biophys, New York, NY 10032 USA Chinese Acad Sci, Inst Biophys, Lab Visual Informat Proc, Beijing 100101, Peoples R China Chinese Acad Sci Beijing Peoples R China 100101 100101, Peoples R China
Titolo Testata:
JOURNAL OF NEUROPHYSIOLOGY
fascicolo: 1, volume: 86, anno: 2001,
pagine: 143 - 155
SICI:
0022-3077(200107)86:1<143:MVDTTT>2.0.ZU;2-N
Fonte:
ISI
Lingua:
ENG
Soggetto:
CATS VISUAL-CORTEX; TRANSPARENT MOTION PERCEPTION; CELL RECEPTIVE-FIELDS; RANDOM DOT PATTERNS; BINOCULAR DISPARITY; STRIATE CORTEX; COMPLEX CELLS; SPATIOTEMPORAL ORGANIZATION; MACAQUE MONKEY; RHESUS-MONKEY;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Life Sciences
Citazioni:
60
Recensione:
Indirizzi per estratti:
Indirizzo: Qian, N Columbia Univ, Ctr Neurobiol & Behav, PI Annex Rm 730,722 W 168th St, New York, NY 10032 USA Columbia Univ PI Annex Rm 730,722 W 168th St NewYork NY USA 10032
Citazione:
Y.Z. Chen et al., "Modeling V1 disparity tuning to time-varying stimuli", J NEUROPHYS, 86(1), 2001, pp. 143-155

Abstract

Most models of disparity selectivity consider only the spatial properties of binocular cells. However, the temporal response is an integral componentof real neurons' activities, and time-varying stimuli are often used in the experiments of disparity tuning. To understand the temporal dimension of V1 disparity representation, we incorporate a specific temporal response function into the disparity energy model and demonstrate that the binocular interaction of complex cells is separable into a Gabor disparity function and a positive time function. We then investigate how the model simple and complex cells respond to widely used time-varying stimuli, including motion-in-depth patterns, drifting gratings, moving bars, moving random-dot stereograms, and dynamic random-dot stereograms. It is found that both model simple and complex cells show more reliable disparity tuning to time-varying stimuli than to static stimuli, but similarities in the disparity tuning between simple and complex cells depend on the stimulus. Specifically, the disparity tuning curves of the two cell types are similar to each other for either drifting sinusoidal gratings or moving bars. In contrast, when the stimuli are dynamic random-dot stereograms, the disparity tuning of simple cellsis highly variable, whereas the tuning of complex cells remains reliable. Moreover, cells with similar motion preferences in the two eyes cannot be truly tuned to motion in depth regardless of the stimulus types. These simulation results are consistent with a large body of extant physiological data, and provide some specific, testable predictions.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 29/09/20 alle ore 12:06:02