On the role of anatomy in learning by the cerebellar cortex

DOI10.1016/S0025-5564(98)10056-1zbMath0943.92010WikidataQ48269928 ScholiaQ48269928MaRDI QIDQ1307663

B. Daya, Gilbert A. Chauvet

Publication date: 10 September 2000

Published in: Mathematical Biosciences (Search for Journal in Brave)

zbMATH Keywords

stabilitylearninghierarchyfield equationscerebellar cortexanatomyheterosynaptic effect

Mathematics Subject Classification ID

Neural biology (92C20) Neural networks for/in biological studies, artificial life and related topics (92B20) PDEs in connection with biology, chemistry and other natural sciences (35Q92)

Cites Work

• Unnamed Item
• An n-level field theory of biological neural networks
• Habituation rules for a theory of the cerebellar cortex
• An algorithmic method for determining the kinetic system of receptor-channel complexes
• Non-locality in biological systems results from hierarchy
• On associative motor learning by the cerebellar cortex: From Purkinje unit to network with variational learning rules
• A model of the cerebellum in adaptive control of saccadic gain. I: The model and its biological substrate
• A model of the cerebellum in adaptive control of saccadic gain. II: Simulation results

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