A spatio-temporal neural network model of saccade generation

A spatio-temporal neural network model of saccade generation

A spatio-temporal neural network model of the superior colliculus is presented. The model uses lateral excitatory and inhibitory connections to help control both the dynamic and static behavior of saccadic eye movements. In simulations, the model succeeds in replicating accurate saccades of a variet...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Arai, K., Keller, E.L., Edelman, J.A.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Animals
Biological neural networks
Brain modeling
Delay
Eyes
Fault location
Humans
Neural networks
Neurons
Retina
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Beschreibung
Zusammenfassung:A spatio-temporal neural network model of the superior colliculus is presented. The model uses lateral excitatory and inhibitory connections to help control both the dynamic and static behavior of saccadic eye movements. In simulations, the model succeeds in replicating accurate saccades of a variety of sizes. Simulation results and the model's relation to neurophysiological findings are discussed.< >
DOI:10.1109/ICNN.1993.298529