A neural model of perceptual-motor alignment.

Full Abstract

Sensorimotor systems face complex and frequent discrepancies among spatial modalities, for example, growth, optical distortion, and telemanipulation. Adaptive mechanisms must act continuously to restore perceptual-motor alignments necessary for perception of a coherent world. Experimental manipulations that exposed participants to localized discrepancies showed that adaptation is revealed by the acquisition of a constrained relation between entire modalities rather than associations between individual exemplars within these modalities. The computational problem faced by the human nervous system can thus be conceived as having to induce constrained relations between continuous stimulus and response dimensions from ambiguous or incomplete training sets, that is, performing interpolation and extrapolation. How biological neuronal networks solve this problem is unknown. Here we show that neural processing based on linear collective computation and least-square (LS) error learning in populations of frequency-coded neurons (i.e., whose discharge varies in a monotonic fashion with a parameter) has built-in interpolation and extrapolation capacities. This model can account for the properties of perceptual-motor adaptations in sensorimotor systems.

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Author information

Author/s: Guigon, Emmanuel (E); Baraduc, Pierre (P);

Affiliation: Inserm U483, Université Pierre et Marie Curie, Paris, France. guigon(-atsign-)ccr.jussieu.fr

Journal and publication information

Publication Type: Journal Article

Journal: Journal of cognitive neuroscience (J Cogn Neurosci), published in United States. (Language: eng)

Reference: 2002-May; vol 14 (issue 4) : pp 538-49

Dates: Created 2002/07/19; Completed 2002/09/03; Revised 2004/11/17;

PMID: 12126496, status: MEDLINE (last retrieval date: 12/26/2008)

Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.

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MeSH headings (categories)

This article was linked to the MESH Headings shown below.

Linear Models
Models, Neurological
Proprioception - physiology
Psychomotor Performance - physiology

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