Brain Function: From Experimental and Computational Neuroscience to Brain Engineering

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Shahid Beheshti University

University of Southern California

Sharif University of Technology

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The brain and its neural circuitry are among the most complex and perplexing natural systems. A main question in neuroscience is how such complex systems processes the incoming multisensory as well as stored mnemonic information to direct behavior, and how one can model, replicate and even repair the function of this system. In recent decades, various pieces of the puzzle from sensory, cognitive and motor domains have been extensively studied, analyzed and modeled in different biological and animal models.

This Research Topic is intended to cover recent directions and activities in the field of neuroscience dedicated to modeling the neural mechanisms of brain function.

We welcome submissions of different research methodologies: from systems/cognitive and computational neuroscience to neuroimaging and neural engineering. Original research and review, as well as theoretical work, methods, and modeling articles are welcomed. The research work includes experimental studies using state of the art in electrophysiology and neuroimaging as well as experimentally-based computational or theoretical work and biologically inspired neural networks.

The brain and its neural circuitry are among the most complex and perplexing natural systems. A main question in neuroscience is how such complex systems processes the incoming multisensory as well as stored mnemonic information to direct behavior, and how one can model, replicate and even repair the function of this system. In recent decades, various pieces of the puzzle from sensory, cognitive and motor domains have been extensively studied, analyzed and modeled in different biological and animal models.

This Research Topic is intended to cover recent directions and activities in the field of neuroscience dedicated to modeling the neural mechanisms of brain function.

We welcome submissions of different research methodologies: from systems/cognitive and computational neuroscience to neuroimaging and neural engineering. Original research and review, as well as theoretical work, methods, and modeling articles are welcomed. The research work includes experimental studies using state of the art in electrophysiology and neuroimaging as well as experimentally-based computational or theoretical work and biologically inspired neural networks.

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Editors

Shahid Beheshti University

University of Southern California

Sharif University of Technology

Impact

112,497 Total views

86,001 Article views

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Frontiers in Computational Neuroscience

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Frontiers in Neuroscience

Neural Technology

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Frontiers in Systems Neuroscience

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Frontiers in Integrative Neuroscience

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