NeuroML: A Language for Describing Data Driven Models of Neurons and Networks with a High Degree of Biological Detail

• Padraig Gleeson,

  Affiliation Department of Neuroscience, Physiology and Pharmacology, University College London, London, United Kingdom

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• Sharon Crook,

  Affiliation School of Mathematical and Statistical Sciences, School of Life Sciences, and Center for Adaptive Neural Systems, Arizona State University, Tempe, Arizona, United States of America

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• Robert C. Cannon,

  Affiliation Textensor Limited, Edinburgh, United Kingdom

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• Michael L. Hines,

  Affiliation Department of Computer Science, Yale University, New Haven, Connecticut, United States of America

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• Guy O. Billings,

  Affiliation Department of Neuroscience, Physiology and Pharmacology, University College London, London, United Kingdom

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• Matteo Farinella,

  Affiliation Department of Neuroscience, Physiology and Pharmacology, University College London, London, United Kingdom

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• Thomas M. Morse,

  Affiliation Department of Neurobiology, Yale University School of Medicine, New Haven, Connecticut, United States of America

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• Andrew P. Davison,

  Affiliation Unité de Neurosciences, Information et Complexité, CNRS, Gif sur Yvette, France

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• Subhasis Ray,

  Affiliation National Centre for Biological Sciences, TIFR, UAS-GKVK Campus, Bangalore, India

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• Upinder S. Bhalla,

  Affiliation National Centre for Biological Sciences, TIFR, UAS-GKVK Campus, Bangalore, India

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• Simon R. Barnes,

  Affiliation Department of Neuroscience, Physiology and Pharmacology, University College London, London, United Kingdom

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• Yoana D. Dimitrova,

  Affiliation Department of Neuroscience, Physiology and Pharmacology, University College London, London, United Kingdom

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• R. Angus Silver

  * E-mail: a.silver@ucl.ac.uk

  Affiliation Department of Neuroscience, Physiology and Pharmacology, University College London, London, United Kingdom

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