Dynamically adjustable contrast enhancement from cortical background activity

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. © 2004 Elsevier B.V. All rights reserved.