Expanding NEURON’s Repertoire of Mechanisms with NMODL

Authors:
M. L. Hines;N. T. Carnevale
Affiliations:
Department of Computer Science, Yale University, New Haven, CT 06520, U.S.A.;Department of Psychology, Yale University, New Haven, CT 06520, U.S.A.
Venue:
Neural Computation
Year:
2000

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Abstract

Neuronal function involves the interaction of electrical and chemical signals that are distributed in time and space. The mechanisms that generate these signals and regulate their interactions are marked by a rich diversity of properties that precludes a "one size fits all" approach to modeling. This article presents a summary of how the model description language NMODL enables the neuronal simulation environment NEURON to accommodate these differences.