Advances in Computational Neuroscience

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Editorial

24 January 2022

Editorial: Advances in Computational Neuroscience

Thomas Nowotny

,

Sacha J. van Albada

,

Jean-Marc Fellous

,

Julie S. Haas

, 2 more and

Tatyana Sharpee

5,889 views

1 citations

Editors

7

University of Sussex

Sacha Jennifer van Albada

Julich Research Center, Helmholtz Association of German Research Centres (HZ)

Tatyana Sharpee

Salk Institute for Biological Studies

Jean-Marc Fellous

University of Arizona

Renaud Blaise Jolivet

University of Geneva

Lehigh University

Christoph Metzner

Technical University of Berlin

Impact

About

Computational Neuroscience combines mathematical analyses and computer simulations with experimental neuroscience, to develop a principled understanding of the workings of nervous systems and apply it in a wide range of technologies. The Organization for Computational Neuroscience (OCNS) promotes meetings and courses in computational neuroscience and organizes the Annual CNS Meeting which serves as a forum for young scientists to present their work and to interact with senior leaders in the field. In this Research Topic we collect highlights from the 28th Annual Computational Neuroscience Meeting CNS*2019, 13 to 17 July 2019 in Barcelona, Spain.

Since the seminal works of Hodgkin and Huxley on models of electrically active neuron membranes and the visionary ideas of David Marr, Computational Neuroscience has rapidly developed into a strongly interdisciplinary field of research where theoreticians, computational scientists and experimenters work in close collaboration, using models and experimental data at multiple different scales. The works collected in this topic come together in linking the diverse fields of cell and molecular biology, neuroscience, cognitive science, and psychology with electrical engineering, computer science, mathematics, and physics.

All contributors to #CNS2019Barcelona are strongly encouraged to submit their work to the Research Topic, however, the topic is open to anyone.

Computational Neuroscience combines mathematical analyses and computer simulations with experimental neuroscience, to develop a principled understanding of the workings of nervous systems and apply it in a wide range of technologies. The Organization for Computational Neuroscience (OCNS) promotes meetings and courses in computational neuroscience and organizes the Annual CNS Meeting which serves as a forum for young scientists to present their work and to interact with senior leaders in the field. In this Research Topic we collect highlights from the 28th Annual Computational Neuroscience Meeting CNS*2019, 13 to 17 July 2019 in Barcelona, Spain.

Since the seminal works of Hodgkin and Huxley on models of electrically active neuron membranes and the visionary ideas of David Marr, Computational Neuroscience has rapidly developed into a strongly interdisciplinary field of research where theoreticians, computational scientists and experimenters work in close collaboration, using models and experimental data at multiple different scales. The works collected in this topic come together in linking the diverse fields of cell and molecular biology, neuroscience, cognitive science, and psychology with electrical engineering, computer science, mathematics, and physics.

All contributors to #CNS2019Barcelona are strongly encouraged to submit their work to the Research Topic, however, the topic is open to anyone.

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Editors

University of Sussex

Sacha Jennifer van Albada

Julich Research Center, Helmholtz Association of German Research Centres (HZ)

Tatyana Sharpee

Salk Institute for Biological Studies

Jean-Marc Fellous

University of Arizona

Renaud Blaise Jolivet

University of Geneva

Lehigh University

Christoph Metzner

Technical University of Berlin

Impact

85,142 Total views

64,914 Article views

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3,547 Topic views

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Frontiers in Computational Neuroscience

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