Neural dynamics of motion processing and speed discrimination

被引:56
作者
Chey, J
Grossberg, S
Mingolla, E
机构
[1] Boston Univ, Dept Cognit & Neural Syst, Boston, MA 02215 USA
[2] Boston Univ, Ctr Adapt Syst, Boston, MA 02215 USA
基金
美国国家科学基金会;
关键词
vision; motion; speed; velocity; neural network; MT;
D O I
10.1016/S0042-6989(97)00372-6
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
A neural network model of visual motion perception and speed discrimination is presented. The model shows how a distributed population code of 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-D form and motion perception. (C) 1998 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:2769 / 2786
页数:18
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