A spiking neural network model of midbrain visuomotor mechanisms that avoids objects by estimating size and distance monocularly

Authors:
Brett J. Graham;David P. M. Northmore
Affiliations:
Department of Psychology, University of Delaware, Newark, DE 19716, USA;Department of Psychology, University of Delaware, Newark, DE 19716, USA
Venue:
Neurocomputing
Year:
2007

Citing 3
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IWINAC'05 Proceedings of the First international conference on Mechanisms, Symbols, and Models Underlying Cognition: interplay between natural and artificial computation - Volume Part I

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Abstract

A network of spiking neurons, modeled on the midbrain of fishes, directs a moving animat to avoid large objects and approach small ones. The discrimination is performed by a model of optic tectum that uses monocular vision to extract image size and rate of expansion. Nucleus isthmi which is reciprocally interconnected with tectum, is modeled to estimate object proximity and to scale image size to obtain object size, which if large enough interrupts approach by triggering avoidance.