Integrating model development across computational neuroscience, cognitive science, and machine learning

被引：2

作者：

Gleeson, Padraig ^{[1
]}

Crook, Sharon ^{[2
]}

Turner, David ^{[3
]}

Mantel, Katherine ^{[4
]}

Raunak, Mayank ^{[5
]}

Willke, Ted ^{[5
]}

Cohen, Jonathan D. ^{[4
]}

机构：

[1] UCL, Dept Neurosci, Physiol & Pharmacol, London, England

[2] Arizona State Univ, Sch Math & Stat Sci, Tempe, AZ USA

[3] Princeton Univ, Princeton Inst Computat Sci & Engn, Princeton, NJ USA

[4] Princeton Univ, Princeton Neurosci Inst, Princeton, NJ 08544 USA

[5] Intel Corp, Intel Labs, Hillsboro, OR USA

来源：

NEURON | 2023年 / 111卷 / 10期

关键词：

FORMAT;

D O I：

10.1016/j.neuron.2023.03.037

中图分类号：

Q189 [神经科学];

学科分类号：

071006 ;

摘要：

Neuroscience, cognitive science, and computer science are increasingly benefiting through their interac-tions. This could be accelerated by direct sharing of computational models across disparate modeling soft-ware used in each. We describe a Model Description Format designed to meet this challenge.

引用

页码：1526 / 1530

页数：5

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