Frontiers in Neurorobotics open-access icon

Journal Title

  • Frontiers in Neurorobotics

ISSN

  • P 1662-5218 | 1662-5218

Publisher

  • Frontiers Media S.A.

Listed on(Coverage)

JCR2015-2019
SJR2008-2019
CiteScore2012-2019
SCIE2015-2021
CC2016-2021
SCOPUS2017-2020
DOAJ2017-2021
EMBASE2016-2020

OA Info.

OAopen-access icon

based on the information

  • 2017;2018;2019;2020;2021;
Keywordsbrain machine interfaces
Review ProcessBlind peer review
Journal info. pages
LicencesCC BY
CopyrightsYes
DOAJ Coverage
  • Added on Date : 2008-09-12T14:22:51Z
Subject(s)Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry

Active

  • Active

    based on the information

    • SCOPUS:2020-10

Country

  • SWITZERLAND

Aime & Scopes

  • Frontiers in Neurorobotics publishes rigorously peer-reviewed research in the science and technology of embodied autonomous neural systems. Specialty Chief Editors Alois C. Knoll and Florian Röhrbein at the Technische Universität München are supported by an outstanding Editorial Board of international experts. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics and the public worldwide. Neural systems include brain-inspired algorithms (e.g. connectionist networks), computational models of biological neural networks (e.g. artificial spiking neural nets, large-scale simulations of neural microcircuits) and actual biological systems (e.g. in vivo and in vitro neural nets). The focus of the journal is the embodiment of such neural systems in artificial software and hardware devices, machines, robots or any other form of physical actuation. This also includes prosthetic devices, brain machine interfaces, wearable systems, micro-machines, furniture, home appliances, as well as systems for managing micro and macro infrastructures. Frontiers in Neurorobotics also aims to publish radically new tools and methods to study plasticity and development of autonomous self-learning systems that are capable of acquiring knowledge in an open-ended manner. Models complemented with experimental studies revealing self-organizing principles of embodied neural systems are welcome. Our journal also publishes on the micro and macro engineering and mechatronics of robotic devices driven by neural systems, as well as studies on the impact that such systems will have on our daily life.

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