How neurons learn to associate 2D-views in invariant object recognition
Year: 1996
Type: article
Abstract: A local learning rule is shown to be able to account for the association of images together on the basis of temporal order rather than spatial configuration, as described in single cell recording results published by Miyashita (1988). Possible reasons for requiring such learning are then given in the context of invariant object recognition This work was supported by a Fellowship from the Max-Plank Gesellschaftschaft This document is available as /pub/mpi-memos/TR-37.ps via anonymous ftp from ftp.mpik-tueb.mpg.de or from the World Wide Web, http://www.mpik-tueb.mpg.de/projects/TechReport/list.html. 1 Introduction The primate temporal lobe has long been implicated in the recognition of objects (Ungerleider & Mishkin, 1982; Goodale & Milner, 1992). Single cell recording in this area has revealed neurons responsive to images of faces (Desimone, 1991; Rolls, 1992) and other, more abstract image features (Tanaka et al., 1991; Miyashita & Chang, 1988). Of particular interest is the ability...
Author: GM Wallis
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W1510140877