A Neural Network Model for Spatial Information Representation View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

1993

AUTHORS

Ryuta Hosaka , Takashi Nagano

ABSTRACT

In this paper, we propose a neural network model that forms a two-dimensional spatial relation map self-organizingly. Cues for spatial relations between objects are given by efference copy signals of saccadic eye movements. The model is able to code the relative positions of objects existing simultaneously in the visual field in spite of its simple structure. The model was simulated on a computer to be shown to have the desired behavior. More... »

PAGES

111-114

References to SciGraph publications

Book

TITLE

ICANN ’93

ISBN

978-3-540-19839-0
978-1-4471-2063-6

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-1-4471-2063-6_25

DOI

http://dx.doi.org/10.1007/978-1-4471-2063-6_25

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1032792356


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