Catalogo Articoli (Spogli Riviste)

OPAC HELP

Titolo:
NEURAL DYNAMICS OF MOTION PROCESSING AND SPEED DISCRIMINATION
Autore:
CHEY J; GROSSBERG S; MINGOLLA E;
Indirizzi:
BOSTON UNIV,DEPT COGNIT & NEURAL SYST,677 BEACON ST BOSTON MA 02215 BOSTON UNIV,DEPT COGNIT & NEURAL SYST BOSTON MA 02215 BOSTON UNIV,CTR ADAPT SYST BOSTON MA 02215
Titolo Testata:
Vision research (Oxford)
fascicolo: 18, volume: 38, anno: 1998,
pagine: 2769 - 2786
SICI:
0042-6989(1998)38:18<2769:NDOMPA>2.0.ZU;2-D
Fonte:
ISI
Lingua:
ENG
Soggetto:
TEMPORAL VISUAL AREA; MOVING 2-DIMENSIONAL PATTERNS; SPATIAL WHITE NOISE; RANDOM DOT PATTERNS; SHORT-RANGE PROCESS; APPARENT MOTION; MACAQUE MONKEY; DIRECTION SELECTIVITY; VELOCITY SENSITIVITY; PERCEIVED SPEED;
Keywords:
VISION; MOTION; SPEED; VELOCITY; NEURAL NETWORK; MT;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Science Citation Index Expanded
Science Citation Index Expanded
Citazioni:
84
Recensione:
Indirizzi per estratti:
Citazione:
J. Chey et al., "NEURAL DYNAMICS OF MOTION PROCESSING AND SPEED DISCRIMINATION", Vision research (Oxford), 38(18), 1998, pp. 2769-2786

Abstract

A neural network model of visual motion perception and speed discrimination is presented. The model shows how a distributed population codeof speed tuning, that realizes a size-speed correlation, can be derived from the simplest mechanisms whereby activations of multiple spatially short-range fillers of different size are transformed into speed-tuned cell responses. These mechanisms use transient cell responses to moving stimuli? output thresholds that covary with filter size, and competition. These mechanisms are proposed to occur in the V1 --> MT cortical processing stream. The model reproduces empirically derived speed discrimination curves and simulates data showing how visual speed perception and discrimination can be affected by stimulus contrast, duration, dot density and spatial frequency. Model motion mechanisms are analogous to mechanisms that have been used to model 3-D form and figure-ground perception. The model forms the front end of a larger motion processing system that has been used to simulate how global motion capture occurs, and how spatial attention is drawn to moving forms. It provides a computational foundation for an emerging neural theory of 3-Dform and motion perception. (C) 1998 Elsevier Science Ltd. All rightsreserved.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 26/09/20 alle ore 05:37:40