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