Accession Number : ADA333495

Title :   Receptive Field Formation in Natural Scene Environments: Comparison of Single Cell Learning Rules

Corporate Author : BROWN UNIV PROVIDENCE RI

Personal Author(s) : Blais, Brian S. ; Intrator, N. ; Shouval, H. ; Cooper, Leon N.

PDF Url : ADA333495

Report Date : 10 DEC 1997

Pagination or Media Count : 20

Abstract : We study several statistically and biologically motivated learning rules using the same visual environment, one made up of natural scenes, and the same single cell neuronal architecture. This allows us to concentrate on the feature extraction and neuronal coding properties of these rules. Included in these rules are kurtosis and skewness maximization, the quadratic form of the BCM learning rule, and single cell ICA. Using a structure removal method, we demonstrate that receptive fields developed using these rules depend on a small portion of the distribution. We find that the quadratic form of the BCM rule behaves in a manner similar to a kurtosis maximization rule when the distribution contains kurtotic directions, although the BCM modification equations are computationally simpler.

Descriptors :   *LEARNING, ENVIRONMENTS, STATISTICAL DATA, VISION, CELLS(BIOLOGY).

Subject Categories : Medicine and Medical Research

Distribution Statement : APPROVED FOR PUBLIC RELEASE