Scheduled System Maintenance on December 17th, 2014:
IEEE Xplore will be upgraded between 2:00 and 5:00 PM EST (18:00 - 21:00) UTC. During this time there may be intermittent impact on performance. We apologize for any inconvenience.
By Topic

Motion detection by biological asymmetrical neural network

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Ishii, N. ; Dept. of Electr. & Comput. Eng., Nagoya Inst. of Technol., Japan

The author discusses a problem of motion perception in the neural network of the catfish retina. Linear and nonlinear information are crucial to visual processing in the catfish retinal network. Horizontal and bipolar cell responses are linearly related to the input modulation of light, while amacrine cells work as a nonlinear function of squaring. These cells make an asymmetrical nonlinear network. The author solves a problem of motion perception in the catfish retinal-like network. It is shown that this asymmetrical neural network is sensitive to the directional moving stimulus. The conditions of the directional movement are shown by the equations of Wiener kernels in the asymmetrical neural network. It is also shown that a symmetrical neural network cannot determine the equations for the moving stimulus

Published in:

Neural Networks, 1992. IJCNN., International Joint Conference on  (Volume:3 )

Date of Conference:

7-11 Jun 1992