title: Expanding NEURON's repertoire of mechanisms with NMODL.
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.
authors.affiliation: Department of Computer Science, Yale University, New Haven, CT 06520, USA.
authors.forename: M L
authors.initials: ML
authors.lastname: Hines
authors.forename: N T
authors.initials: NT
authors.lastname: Carnevale
mesh_terms: D008959:Models, Neurological; D016571:Neural Networks, Computer; D009474:Neurons / Q000502:physiology*; D013569:Synapses / Q000502:physiology; D009626:Terminology as Topic