Dear colleagues,

We would like to invite you to submit an article to the Special Issue "Neuromorphic Artificial Intelligence and Its Applications: Retrospective and Prospective" organized by the Brain Sciences journal (MDPI).

Scope
Neuromorphic artificial intelligence (AI), inspired by the structures of brains, constitutes a new shift in the development of AI technology that is able to process vast amounts of information extremely quickly, accurately, and expending far less energy than any AI/DL system. It is unparalleled in its ability to rapidly, and on its own, adapt and learn from changing and unexpected environmental contingencies with very limited resources. Because it utilizes event-based processing in which neurons spike only in response to specific stimuli, at any given time only a small fraction of neurons is active, drastically reducing energy consumption. Thus, neuromorphic AI is ideal for low-power devices such as mobile phones or cameras and, because it utilizes temporal coding as a form of efficient information processing, it is extremely precise and fast allowing visual recognition in the human brain to be achieved in less than 100ms. To learn stably about the world, it uses temporal learning, a type of continual learning that depends on the timing of spikes. Neuromorphic AI is expected to open new roads to computing technologies (software and hardware) and pave the way to true artificial general intelligence.
This Special Issue aims to solicit articles that report state-of-the-art approaches to and recent advances in:
  1. Novel neuromorphic architectures and models constrained by neurobiological data from multiple levels of detail showing mastery in all faculties, including sensory recognition, learning and memory, decision making, cognitive control, reasoning, language processing, and consciousness;
  2. Learning algorithms constrained by the limits of biology and neuromorphic hardware;
  3. Neuromorphic hardware (sensors, chips, cameras, etc.) for cognitive systems;
  4. Applications of neuromorphic architectures or hardware to cognitive robotics;
  5. Application of neuromorphic architectures or hardware to all other aspects of science and technology including healthcare, medical imaging, environment, etc.;
This Special Issue will bring together scientists with diverse backgrounds to discuss current concepts and exciting new results in this broad field, cutting across disciplines and focusing on topics that have a high potential to synergize. It is expected that this Special Issue will generate valuable new insights and highlight promising directions of future progress.
Research articles, review articles, opinion articles, theory and hypothesis articles, short communications.

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. Brain Sciences is an international peer-reviewed open access monthly 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 2200 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.

Deadline for manuscript submissions: 31 August 2025

Best wishes,
Vassilis Cutsuridis







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Dr Vassilis Cutsuridis

Associate Professor in Computer Science

School of Engineering, Computing and Mathematics

University of Plymouth, Drake Circus, Plymouth, UK, PL4 8AA


Email:  vassilis.cutsuridis@plymouth.ac.uk

Web:   https://www.plymouth.ac.uk/staff/vassilis-cutsuridis

 

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