Neuromorphic Devices, Circuits, Systems and Their Applications
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Circuit and Signal Processing".
Deadline for manuscript submissions: closed (15 April 2024) | Viewed by 215
Special Issue Editors
Interests: RRAM; neuromorphic computing; memristors; multilevel control; high-k dielectrics; electrical characterization
Special Issues, Collections and Topics in MDPI journals
Interests: computing architecture, neuronal networks; deep-learning
Special Issue Information
Dear Colleagues,
The aim of this Special Issue is to bring together the latest advances in neuromorphic computing. Emerging devices and architectures as well as the latest advances based on conventional CMOS VLSI technologies will be addressed. Special emphasis will be given to solutions that overcome the bottleneck of von Neumann architectures.
Bio-inspired systems will also be considered: architectures that emulate biological systems and represent important advances in artificial intelligence and deep learning.
Advances in materials and devices with behavior similar to the constituent elements of the human brain (synapses, neurons, etc.) are relevant aspects that will be included in this Special Issue.
Researchers are invited to send their contributions in the following topics:
(1) Materials and devices: memristors, synaptic devices, etc.
(2) Neuromorphic circuits
(3) Neuromorphic computer architectures: beyond von Neumann architecture
(4) Deep neural networks
(5) Spike neural networks
(6) Neuromorphic algorithms: machine-learning and non-machine learning
(7) Hardware accelerators
(8) Neuromorphic applications in different areas: health, automotive, industry, natural sciences, agriculture, astronomy, etc.
(9) Bioethics
Prof. Dr. Salvador Dueñas
Prof. Dr. Benjamín Sahelices
Prof. Dr. Héctor García
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- memristors
- neuromorphic network
- brain computing
- neuronal networks
- machine learning
- deep learning
