Unlocking the Brain-Inspired Future: Frontiers in Neuromorphic Computing
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: 10 November 2026 | Viewed by 5
Special Issue Editors
Interests: intelligent chips and algorithms; neuromorphic computing
Interests: emerging memory devices; neuromorphic chips; brain-inspired computing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The quest for artificial intelligence that emulates the brain's efficiency and adaptability has led to the rise of neuromorphic computing. This Special Issue, "Unlocking the Brain-Inspired Future: Frontiers in Neuromorphic Computing," explores the most exciting frontiers of this transformative field. We are looking for submissions that push the boundaries of what is currently possible. Contributions are sought in foundational theory and novel computational models, with a particular focus on how these models can achieve unprecedented energy efficiency and scalability. We are also keenly interested in submissions that detail revolutionary hardware and architectures, from innovative ASICs and programmable arrays to advancements in on-chip learning and plasticity that enable systems to learn and adapt autonomously.
Beyond hardware, we seek papers on the software and toolchains that are essential for democratizing access to this technology. This includes work on advanced simulation tools, new programming languages tailored for spiking neural networks, and sophisticated data preprocessing techniques. A key focus of this Special Issue is on applications that leverage the unique advantages of neuromorphic systems. We invite case studies that demonstrate significant breakthroughs in edge computing for the Internet of Things, robust real-time control for robotics, and intelligent pattern recognition. The final section of this collection will look forward, featuring papers that forecast the future trajectory of neuromorphic computing, including the promise of hybrid architectures and the critical ethical considerations surrounding this technology. By bringing together diverse perspectives, this Special Issue aims to illuminate the path forward and inspire the next wave of innovation in brain-inspired AI.
Dr. Guanchao Qiao
Prof. Dr. Shaogang Hu
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.
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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
- spiking neural networks (SNNs)
- bio-inspired AI
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