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Special Issue "Semiconductor Memory Devices for Hardware-Driven Neuromorphic Systems"
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: closed (21 December 2019) | Viewed by 21360
A printed edition of this Special Issue is available here.
Special Issue Editor
Interests: advanced CMOS devices; emerging volatile/nonvolatile memory devices; synaptic devices and neuromorphic system; photonic devices and integrated circuits
Special Issue Information
This Special Issue aims to convey the most recent progresses in hardware-driven neuromorphic systems. The machine learning system and various types of artificial neural networks to realize the learning process have been mainly focused on software technologies. Tremendous advances have been made particularly in the area of recognition, in which humans have great superiority compared to computers. For higher resemblance with the biological nervous system, the upcoming progresses are ought to take power consumption into account and foster revolutions in the electron devices and integrated circuits that make up the neuromorphic system.
For this Special Issue, we cordially invite contributions related to state-of-the-art technologies for neuromorphic systems more intimately oriented to hardware developments. Topics of interest include but are not limited to: mathematical and physical theories and modeling with practical implications in hardware representation, synaptic components including novel solid-state logic and memory devices, neuron circuits with power-efficient transistors, metallic and optical interconnects, novel software algorithms optimally prepared for specific types of synaptic devices, floor plans for synapse and neuron circuits in either two- or three-dimensional architectures, emulation of neural chips compatible with conventional computers, measurement techniques, and time- and cost-effective process integration for realizing these systems.
Prof. Dr. Seongjae Cho
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 2000 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.
- Hardware-driven neuromorphic system
- Machine learning
- Artificial neural network
- Mathematical and physical theories, modeling, and algorithms
- Synaptic electron devices
- Solid-state logic and memory devices
- Neuron circuits
- Neural chip emulation
- Process integration