Expanding NEURON's repertoire of mechanisms with NMODL

被引:127
作者
Hines, ML
Carnevale, NT
机构
[1] Yale Univ, Dept Comp Sci, New Haven, CT 06520 USA
[2] Yale Univ, Dept Psychol, New Haven, CT 06520 USA
关键词
D O I
10.1162/089976600300015475
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:995 / 1007
页数:13
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