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Workshop Proposal — IEEE WCCI 2026

AI-driven innovation in Neurotechnologies

Conference

International Joint Conference on Neural Networks (IJCNN), WCCI 2026

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

Nadia Mammone
Prof. Nadia Mammone

University Mediterranea of Reggio Calabria (Italy)

nadia.mammone@unirc.it

Maryam Alimardani
Prof. Maryam Alimardani

Vrije Universiteit Amsterdam (the Netherlands)

m.alimardani@vu.nl

Anna Esposito
Prof. Anna Esposito

University of Campania “Luigi Vanvitelli” (Italy)

anna.esposito@unicampania.it

Prof. Cosimo Ieracitano
Prof. Cosimo Ieracitano

University of Naples “Federico II” (Italy)

cosimo.ieracitano@unina.it

Toshihisa Tanaka
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

All accepted papers will be included in the IEEE WCCI 2026 proceedings and indexed in IEEE Xplore, following standard IJCNN review procedures.

IMPORTANT DATES:
  Submission deadline for short and full papers: 28 February 2026
  Papert acceptance notification: 31 March 2026
  Camera-ready papers: 15 April 2026

Paper submission Instructions

Full Papers (up to 6 pages) or Short Papers (up to 3 pages) according to IJCNN 2025 paper template: these papers can be presented at the Workshop but not included in the IJCNN 2025 proceedings.

Authors are requested to submit their papers by email to nadia.mammone@unirc.it and cosimo.ieracitano@unina.it by 15 March 2025
Invited Keynote Speakers

To be confirmed soon

Contact

For further information or questions concerning the workshop, please contact the workshop organizers at:

  nadia.mammone@unirc.it
  cosimo.ieracitano@unina.it