EPJ B Topical Issue: Neuromorphic Bio-inspired Computing
- Details
- Published on 15 May 2023
Guest Editors: Philipp Hövel, Rainer Adelung, Jan Bielecki, Wilhelm Braun, Claus Hilgetag, Hermann Kohlstedt, Claudia Lenk, Alex Schaum, Jan Trieschmann, Peer Wulff
Submissions are invited for a Topical Issue of EPJ B on Neuromorphic Bio-inspired Computing.
As a result of a billion years of ongoing evolution, nervous systems exhibit remarkable capabilities for the interactions with their surroundings. In contrast to man-made, clockdriven Boolean Turing machines, information processing in biological nervous systems is characterized by highly parallel, energy efficient, and adaptive architecture. When it comes, for instance, to pattern recognition, failure tolerance, and cognitive tasks in real time, even simple creatures outperform supercomputers, in particular under the aspect of power dissipation. From an engineering point of view, nervous systems process information in such a way that even state-of-the-art silicon technology and modern digital computing strategies seem to be outstripped. They excel by using information pathways that are characterized by a highly irregular and flexible tissue consisting of neurons, synapses and axons operating at low conduction velocities that lead to pronounced signal delays. From a holistic point of view, nervous systems can be considered as time-varying networks in which spike dynamics and cellular morphology are intricately linked and reciprocally interwoven.
From a holistic point of view, nervous systems can be considered as time-varying networks in which spike dynamics and cellular morphology are intricately linked and reciprocally interwoven.
The aim of the topical issue is to summarize the latest developments discussing aspects of
- Neuronal architecture and information processing
- Bio-inspired system technology
- Physical substrates for neuromorphic engineering
Original research papers, Reviews, and Colloquium-type focusing on the full range of modelling, experiment, and application efforts that advance our understanding of biological signal processing and their relevance for future electronics articles are welcome. In particular, we invite submission from areas such as neuroscience, biology, psychology, physics, electrical engineering, material science, networks science and nonlinear dynamics, but also other disciplines addressing the above mentioned aspects. The issue is open to everyone working in the field. The full manuscripts should be submitted before the deadline directly to the EPJ B Editorial Office at https://www.editorialmanager.com/epjb/.
Deadline for submission: August 31, 2024
Submissions should be clearly identified as intended for the Topical Issue on ‘Neuromorphic Bio-inspired Computing’. Papers will be published continuously and will appear as soon as accepted on the journal website. The electronic version of the Topical Issue will contain all accepted papers in the order of publication. All submitted papers will be refereed according to the usual high standards of the journal. More information about EPJ B, including instructions for authors is available here.
Guest Editors:
Dr. Philipp Hövel (associate editor EPJB), Saarland University, Theoretical Physics, Campus E2 6, 66123 Saarbrücken, Germany Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
Prof. Dr. Rainer Adelung, Institute for Material Science, Kiel University (CAU), Kaiserstraße 2, 24143 Kiel, Germany Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
Dr. Jan Bielecki, Institute of Physiology , Kiel University (CAU), Hermann-Rodewald-Straße 5, 24118 Kiel, Germany Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
Dr. Wilhelm Braun, Institute of Computational Neuroscience, University Medical Center Hamburg-Eppendorf (UKE), Martinistraße 52, 20246 Hamburg, Germany Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
Prof. Dr. Claus Hilgetag, Institute of Computational Neuroscience, University Medical Center Hamburg-Eppendorf (UKE), Martinistraße 52, 20246 Hamburg, Germany Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
Prof. Dr. Hermann Kohlstedt, Faculty of Engineering, Institute of Electrical and Information Engineering, Chair of Nanoelectronics, Kaiserstraße 2, 24143 Kiel, Germany Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
Dr. Claudia Lenk, Department of Microelectronic and Nanoelectronic Systems, Technische Universität Ilmenau, Gustav-Kirchhoff-Str.1, 98693 Ilmenau, Germany Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
Dr. Alexander Schaum, Institute of Electrical and Information Engineering, Kiel University (CAU), Kaiserstraße 2, 24143 Kiel, Germany Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
Prof. Dr. Jan Trieschmann, Institute of Electrical and Information Engineering, Kiel University (CAU), Kaiserstraße 2, 24143 Kiel, Germany Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
Prof. Dr. Peer Wulff, Institute of Physiology, Kiel University (CAU), Hermann-Rodewald-Straße 5, 24118 Kiel, Germany Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
Open Access
EPJ B is a hybrid journal offering Open Access publication via the Open Choice programme and a growing number of Springer Compact “Publish and Read” arrangements which enable authors to publish OA at no direct cost (all costs are paid centrally).
