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 1093
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
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Keywords
- memristors
- neuromorphic network
- brain computing
- neuronal networks
- machine learning
- deep learning
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