Advances in Neuromorphic Computing and Memristive Technologies

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: 15 April 2025 | Viewed by 53

Special Issue Editor


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Guest Editor
Department of Electronic Engineering, University of Exeter, Exeter EX4 4QF, UK
Interests: 2D materials; oxide semiconductors; memristors; neuromorphic computing; optoelectronics

Special Issue Information

Dear Colleagues,

Neuromorphic computing, inspired by the complex architecture of the human brain, and memristive technologies, which enable advanced memory and computational systems, have experienced significant progress in recent years. These technologies serve as foundational elements for creating energy-efficient, high-performance, and scalable computing systems, with transformative potential across fields like artificial intelligence, machine learning, robotics, and edge computing. Memristors, with their non-volatile memory and analog processing capabilities, and neuromorphic hardware, capable of mimicking neural plasticity and network behavior, are opening new horizons in computing architecture.

This Special Issue aims to present the latest advances in materials, devices, architectures, and real-world applications of neuromorphic computing and memristive systems. We encourage submissions that explore novel materials, innovative memristive devices, bio-inspired computational frameworks, and the practical implementation of these technologies. Original research articles, comprehensive review papers, and case studies are all welcome.

Possible themes include, but are not limited to, the following:

  • Novel materials for memory devices and applications;
  • Novel memristive devices and circuits;
  • Neuromorphic architectures for AI and machine learning;
  • Bio-inspired memory architectures;
  • Integration of memristors with CMOS technology;
  • Energy-efficient neuromorphic hardware for edge computing;
  • Applications of memory/memristive technologies in optoelectronics and IoT.

Dr. Muhammad Naqi
Guest Editor

Manuscript Submission Information

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Keywords

  • neuromorphic computing
  • memristive devices
  • artificial intelligence
  • spiking neural networks
  • synaptic plasticity
  • memristor-CMOS integration
  • edge computing
  • energy-efficient computing
  • bio-inspired hardware
  • robotics
  • optoelectronics

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Published Papers

This special issue is now open for submission.
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