Fractal (Reconstructive Analogue) Memory

Authors

David J. Stucki, Otterbein UniversityFollow
Jordan B. Pollack

Document Type

Conference Proceeding

Publication Date

1992

Publication Title

Proceedings of the 14th Annual Conference of the Cognitive Science Society

Publisher

Hillsdale, NJ: Erlbaum

Keywords

Mental Imagery, Reconstructive Analogue, Memory

Abstract

This paper proposes a new approach to mental imagery that has the potential for resolving an old debate. We show that the methods by which fractals emerge from dynamical systems provide a natural computational framework for the relationship between the “deep” representations of long-term visual memory and the “surface” representations of the visual array, a distinction which was proposed by (Kosslyn, 1980). The concept of an iterated function system (IFS) as a highly compressed representation for a complex topological set of points in a metric space (Barnsley, 1988) is embedded in a connectionist model for mental imagery tasks. Two advantages of this approach over previous models are the capability for topological transformations of the images, and the continuity of the deep representations with respect to the surface representations.

First Page

1

Last Page

6

Repository Citation

Stucki, David J. and Pollack, Jordan B., "Fractal (Reconstructive Analogue) Memory" (1992). Mathematics Faculty Scholarship. 17.
https://digitalcommons.otterbein.edu/math_fac/17

Original Citation

Stucki, D. J. & Pollack, J. B. "Fractal (Reconstructive Analogue) Memory." Proceedings of the 14th Annual Conference of the Cognitive Science Society: (1992).

DOI

10.1.1.71.1886

Version

Publisher's Version

Peer Reviewed

1