Neuromorphic Computing: Devices, Chips, and Algorithm

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Circuit and Signal Processing".

Deadline for manuscript submissions: 25 June 2024 | Viewed by 229

Special Issue Editor


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Guest Editor
State Key Laboratory of Electronic Thin Films and Integrated Devices, University of Electronic Science and Technology of China, Chengdu 610054, China
Interests: emerging memory devices; neuromorphic chips; brain-inspired computing

Special Issue Information

Dear Colleagues,

In the quest to replicate and comprehend the computational prowess of the human brain, science and technology have made tremendous advancements. One such area is neuromorphic computing—the engineering feat presenting a promising trajectory for artificial intelligence, machine learning and cognitive computing.

This proposal suggests the topic Neuromorphic Computing: Devices, Chips, and Algorithm for our forthcoming Special Issue. It aims to collate the latest developments, studies, and perspectives encompassing the neuromorphic computing landscape.

This specialized topic will present papers focusing on the breakthroughs in neuromorphic devices, detailing their design, fabrication, or performance, alongside the developments in neuromorphic chips—the powerful brain-inspired processors that are revolutionizing AI hardware.

Moreover, the topic will also cover research exploring innovative algorithms capable of harnessing the potentialities of such hardware. Emphasis will be made on interdisciplinary approaches fusing brain-inspired hardware and software, tackling real-world computational challenges.

We believe that this Special Issue will offer valuable insights to a broad spectrum of readers including researchers, professionals, academics in the fields of computational neuroscience, computer engineering, AI, ML and more.

We welcome submissions addressing these fundamental and experimental aspects of neuromorphic computing, connecting the dots between brain-inspired hardware and the algorithmic keys to unlock their capabilities.

Prof. Dr. Shaogang Hu
Guest Editor

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

  • neuromorphic computing
  • neuromorphic devices
  • brain-inspired hardware, software and algorithm
  • computational neuroscience

Published Papers

This special issue is now open for submission.
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