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Expanding NEURON's repertoire of mechanisms with NMODL
1Department of Computer Science, Yale University, New Haven, CT 06520, USA.
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.
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