Workshop — IEEE WCCI 2026
AI-driven innovation in Neurotechnologies
Motivation & Scope
Neural engineering sits at the frontier between neuroscience, artificial intelligence, and biomedical engineering. The field increasingly relies on computational intelligence (CI) methods, such as neural networks, reinforcement learning, evolutionary computation, and explainable AI, to model, interface with, and augment neural systems. This workshop aims to bring together researchers from computational intelligence, neuroscience, neuroprosthetics, and biomedical signal processing to foster dialogue and collaboration. Topics include brain–computer interfaces (BCIs), neuro-inspired AI architectures, adaptive neuromodulation systems, and data-driven modeling of neural dynamics. By aligning with the WCCI themes, the workshop emphasizes the cross-fertilization between computational models of intelligence and biological neural systems. The event will provide a platform for presenting emerging research, discussing methodological challenges, and shaping future interdisciplinary directions at the intersection of AI and neural engineering.
Organizers
Prof. Nadia Mammone
University Mediterranea of Reggio Calabria (Italy)
nadia.mammone@unirc.it
Prof. Maryam Alimardani
Vrije Universiteit Amsterdam (the Netherlands)
m.alimardani@vu.nl
Prof. Anna Esposito
University of Campania “Luigi Vanvitelli” (Italy)
anna.esposito@unicampania.it
Prof. Cosimo Ieracitano
University of Naples “Federico II” (Italy)
cosimo.ieracitano@unina.it
Prof. Toshihisa Tanaka
Department of Electrical Engineering and Computer Science, Tokyo University of Agriculture and Technology (TUAT)
tanakat@cc.tuat.ac.jp
Call for Papers
We invite submissions of original research papers and short papers on innovative applications and methods at the intersection of computational intelligence and neural engineering. The workshop aims to highlight advances in modeling, analysis, and interfacing with neural systems through AI.
| TOPICS OF INTEREST INCLUDE (BUT ARE NOT LIMITED TO): | |
| Deep learning for neural data decoding and analysis | |
| Machine learning for brain–computer interfaces and neurotechnologies | |
| Foundation models and self-supervised learning for neural signals | |
| Neuromorphic computing and neuro-inspired models | |
| Explainable AI for neuroscience and clinical applications | |
| Hybrid biological-artificial neural systems | |
| Reinforcement learning and adaptive control in neuroprosthetics | |
| IMPORTANT DATES: | |
| Abstract submission (one page) deadline: 31 March 2026 | |
| Notification of acceptance: 15 April 2026 | |
| Full paper submission deadline: 15 May 2026 | |
Paper submission Instructions
Authors are requested to submit their abstract (one page) by email to nadia.mammone@unirc.it and cosimo.ieracitano@unina.it with subject: [AI4NE-WCCI2026] Paper submission
Authors of accepted abstracts are requested to submit their full papers (2-3 pages) using the IEEE conference proceedings template by email to nadia.mammone@unirc.it and cosimo.ieracitano@unina.it with subject: [AI4NE-WCCI2026] Full Paper
Accepted Papers will be presented at the Workshop, will not be included in the WCCI 2026 proceedings but will have the opportunity to submit an extended version to the following Journal Special Issue .
Invited Keynote Speakers
Contact
For further information or questions concerning the workshop, please contact the workshop organizers at:
nadia.mammone@unirc.it
and
cosimo.ieracitano@unina.it