Paradigm shifts and innovations in Neuroscience

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Mikhail A Lebedev

Department of Mathematical Analysis, Faculty of Mechanics and Mathematics, Lomonosov Moscow State University

Jean-Gael Barbara

Centre National de la Recherche Scientifique (CNRS)

Chrystalina A Antoniades

Nuffield Department of Clinical Neurosciences, Medical Sciences Division, University of Oxford

Lorenzo Lorusso

School of Medicine, University of Zagreb

University of Miami

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Neuroscience, like science in general, advances through paradigm shifts that fundamentally change theories, approaches and methods. To name a few, Hebbian learning, neuroplasticity, functional magnetic resonance imaging, brain-machine interfaces and optogenetics have contributed to revolutionary changes in our understanding how the brain works.

Notwithstanding many previous paradigm shifts, many neural functions are not well understood, and some are not understood at all. This means that the major discoveries are still to be made in the field of brain science.

In this Research Topic, we welcome articles focused on the developments in Neuroscience that can be considered paradigm shifts. (Please do not submit articles on incremental developments that are not really paradigm shifts.) These can be articles on the history of Neuroscience, reviews and original research on the modern hot topics, and perspective articles on the important areas that will likely emerge in the future. We also welcome articles that analyze developments that promised to become paradigm shifts, but vanished.

We hope that this Research Topic will help Neuroscience community to learn from their previous successes and failures.

Neuroscience, like science in general, advances through paradigm shifts that fundamentally change theories, approaches and methods. To name a few, Hebbian learning, neuroplasticity, functional magnetic resonance imaging, brain-machine interfaces and optogenetics have contributed to revolutionary changes in our understanding how the brain works.

Notwithstanding many previous paradigm shifts, many neural functions are not well understood, and some are not understood at all. This means that the major discoveries are still to be made in the field of brain science.

In this Research Topic, we welcome articles focused on the developments in Neuroscience that can be considered paradigm shifts. (Please do not submit articles on incremental developments that are not really paradigm shifts.) These can be articles on the history of Neuroscience, reviews and original research on the modern hot topics, and perspective articles on the important areas that will likely emerge in the future. We also welcome articles that analyze developments that promised to become paradigm shifts, but vanished.

We hope that this Research Topic will help Neuroscience community to learn from their previous successes and failures.

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Editors

Mikhail A Lebedev

Department of Mathematical Analysis, Faculty of Mechanics and Mathematics, Lomonosov Moscow State University

Jean-Gael Barbara

Centre National de la Recherche Scientifique (CNRS)

Chrystalina A Antoniades

Nuffield Department of Clinical Neurosciences, Medical Sciences Division, University of Oxford

Lorenzo Lorusso

School of Medicine, University of Zagreb

University of Miami

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1,598,453 Total views

1,376,497 Article views

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Frontiers in Neuroscience

Neuroprosthetics

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Frontiers in Computer Science

Human-Media Interaction

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Frontiers in Cellular Neuroscience

Non-Neuronal Cells, Cellular Neurophysiology, Cellular Neuropathology

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Frontiers in Human Neuroscience

Brain Imaging and Stimulation, Brain-Computer Interfaces, Cognitive Neuroscience, Brain Health and Clinical Neuroscience, Sensory Neuroscience, Speech and Language

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Frontiers in Behavioral Neuroscience

Emotion Regulation and Processing, Behavioral Endocrinology, Individual and Social Behaviors, Learning and Memory, Motivation and Reward, Pathological Conditions

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Frontiers in Psychology

Human-Media Interaction

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Frontiers in Neurology

Neuroprosthetics

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Frontiers in ICT

Human-Media Interaction

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Frontiers in Digital Humanities

Human-Media Interaction

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Frontiers in Systems Neuroscience

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