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Titolo: Linear filtering and nonlinear interactions in directionselective visual cortex neurons: A noise correlation analysis
Autore: Baker, CL;
 Indirizzi:
 McGill Univ, Dept Ophthalmol, McGill Vis Res Unit, Montreal, PQ H3A 1A1, Canada McGill Univ Montreal PQ Canada H3A 1A1 Unit, Montreal, PQ H3A 1A1, Canada
 Titolo Testata:
 VISUAL NEUROSCIENCE
fascicolo: 3,
volume: 18,
anno: 2001,
pagine: 465  485
 SICI:
 09525238(200105/06)18:3<465:LFANII>2.0.ZU;2C
 Fonte:
 ISI
 Lingua:
 ENG
 Soggetto:
 CAT STRIATE CORTEX; LATERAL GENICULATENUCLEUS; CELL RECEPTIVEFIELDS; COMPLEX CELLS; SPATIOTEMPORAL ORGANIZATION; MOTION; STIMULI; AREA18; INPUT; TIME;
 Keywords:
 visual cortex; direction selectivity; lagged cells; white noise analysis; neural modeling;
 Tipo documento:
 Article
 Natura:
 Periodico
 Settore Disciplinare:
 Life Sciences
 Citazioni:
 45
 Recensione:
 Indirizzi per estratti:
 Indirizzo: Baker, CL McGill Univ, Dept Ophthalmol, McGill Vis Res Unit, 687 Pine Ave W,H414, Montreal, PQ H3A 1A1, Canada McGill Univ 687 Pine Ave W,H414 Montreal PQ Canada H3A 1A1 nada



 Citazione:
 C.L. Baker, "Linear filtering and nonlinear interactions in directionselective visual cortex neurons: A noise correlation analysis", VIS NEUROSC, 18(3), 2001, pp. 465485
Abstract
Spatial and temporal properties related to direction selectivity of both simple and complex type visual cortex neurons were assessed by crosscorrelation analysis of their responses to random ternary white noise. This stimulus consisted of multiple randomly placed bars, each colored white, black, or gray with equal probability, which were rerandomized every 510 ms. A firstorder crosscorrelation analysis of a neuron's spike train with the spatiotemporal history of the stimulus provided an estimate of the neuron's linear spatiotemporal filtering properties. A nonlinear correlation analysis measured the amount of interaction for pairwise combinations of bars as a function of their relative spatial and temporal separations. The spatiotemporal orientation of each of these functions was quantified using a "motion energy index" (MEI), which was compared to the neurons' direction selectivity measured with drifting sinewave gratings. Both firstorder and nonlinear correlation plots usually showed st orientation whose sign was consistent with the neuron's direction preference; however, in many cases the MEI for firstorder analysis was weak compared to that seen in the nonlinear interactions. The structures of the nonlinear interaction functions were also compared with predictions from a conventional model of direction selectivity based on a simple spatiotemporally oriented linear filter, followed by an intensive nonlinearity ("LN model"). These comparisons showed that some neurons' data agreed reasonably well with such a model, while others agreed poorly or not at all. Simulations of an alternative model which combines signals from idealized lagged and nonlagged frontend linear filters produce noise correlation results more like those seen in the neurophysiological data.
ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 18/01/20 alle ore 22:15:33