| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 9653538 | Neurocomputing | 2005 | 7 Pages |
Abstract
An experimentally supported model of cortical background activity is used to investigate the role of such activity in neural gain control. The model demonstrates the feasibility of a scheme for contrast enhancement whereby the overall intensity of an input pattern adjusts the dynamic range of a neuron such that it remains sensitive to contrast over a wide range of overall intensities.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Hamish Meffin, Anthony N. Burkitt, David B. Grayden,