A neural network model of the vestibulo-ocular reflex using a local synaptic learning rule.
Vertebrates use the vestibulo-ocular reflex to maintain clear vision during head movements. This reflex requires eye-velocity commands from the semicircular canals to be integrated (mathematically) to produce eye-position commands for the extraocular muscles. This is accomplished by a neural network in the caudal pons. A model of this network is proposed using positive feedback via lateral inhibition. The model has been adapted to a learning network. We have developed a synaptic learning rule using only local information to make the model more physiological.
Department of Biomedical Engineering, Johns Hopkins University, School of Medicine, Baltimore, Maryland 21287-9131.
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Arnold
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Robinson
D000465:Algorithms; D000818:Animals; D005133:Eye Movements / Q000502:physiology; D007858:Learning / Q000502:physiology; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology; D016571:Neural Networks, Computer; D012027:Reflex, Vestibulo-Ocular / Q000502:physiology*; D013569:Synapses / Q000502:physiology; D014785:Vision, Ocular / Q000502:physiology