Accession Number : ADA138081

Title :   A Neural Network Model of Multistable Perception.

Descriptive Note : Technical rept.,

Corporate Author : BROWN UNIV PROVIDENCE RI CENTER FOR NEURAL SCIENCE

Personal Author(s) : Kawamoto,A H ; Anderson,J A

PDF Url : ADA138081

Report Date : 15 Feb 1984

Pagination or Media Count : 59

Abstract : In this paper, the major properties and previous models of multistable perception are briefly reviewed. A neural network model based on Hebbian synaptic modification (the brain-state-in-a-boc model of Anderson and colleagues) is shown to satisfactorily account for a number of these properties. We present evidence demonstrating the importance of both the stimulus and the history (both recent and distant) of the system of disambiguate ambiguous stimuli. In addition, some simple extensions are made to allow the dynamic modification of synaptic connectivities during the course of the stimulus presentation. This enables such properties as the time course of reversals, adaptation, and hysteresis to be simulated.

Descriptors :   *Perception(Psychology), *Neural nets, Models, Networks, Visual perception, Stimuli, Equations

Subject Categories : Psychology

Distribution Statement : APPROVED FOR PUBLIC RELEASE