| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 9653112 | Neural Networks | 2005 | 8 Pages |
Abstract
Our model consists of hierarchically connected layers: retina, V1, MT and MST. V1-cells measure local velocity. There are two kinds of MT-cell: one is for extracting absolute velocities, the other for extracting relative velocities with their antagonistic inputs. Collecting signals from MT-cells, MST-cells respond selectively to various types of optic flows. We demonstrate through a computer simulation that this simple network is enough to explain a variety of results of neurophysiological experiments.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Kazuya Tohyama, Kunihiko Fukushima,