The Workshop on Generative AI for Neuroscience at BI 2025

Update

We are super fortunate to have 4 very influential researchers joining us as the keynote speakers.
Our session starts from 9 AM on Nov, 11, 2025.
The zoom link is: https://stevens.zoom.us/j/93328488576
Meeting ID: 933 2848 8576

Workshop Program (PDF)

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Objective

The Workshop on Generative AI for Neuroscience aims to bring together researchers and practitioners from artificial intelligence, neuroscience, and biomedical engineering to explore how generative models can advance our understanding of the brain and improve clinical applications. By fostering interdisciplinary dialogue, the workshop seeks to highlight recent innovations in brain-inspired generative modeling, data-driven neural representations, and multimodal synthesis for brain imaging and neural signal interpretation. Participants will discuss how large-scale generative AI models can uncover latent brain dynamics, support precision diagnostics, and facilitate individualized intervention strategies, ultimately bridging the gap between artificial and human intelligence for next-generation neuroscience research.

Organizers

Dr. Feng Liu (Stevens Institute of Technology),
Dr. Elisa Kallioniemi (New Jersey Institute of Technology),
Dr. Lu Zhang (Indiana University)

Scope and Topics

The workshop welcomes contributions that explore the intersection of generative AI, neuroscience, and clinical translation, with emphasis on foundation models and large language models (LLMs) for understanding brain function and disorders. Topics include but are not limited to:

• Foundation and Large Language Models for Neuroscience: Brain-inspired foundation models, multimodal LLMs, and self-supervised generative frameworks for neural representation and cognition.


• Generative Modeling of Brain Data: Diffusion, transformer, and graph-based generative models for EEG/iEEG, fMRI, and multimodal brain imaging.


• Multimodal Integration and Cross-Domain Translation: Generative synthesis across neural signals, imaging, and behavioral or linguistic data to bridge biological and artificial intelligence.


• Clinical and Translational Applications: Foundation-model-driven diagnostics, individualized intervention modeling, and data generation for rare or small patient cohorts.


• Interpretability and Responsible AI: Transparent, explainable, and privacy-preserving generative models that advance trustworthy neuroscience research.

Submissions and Publication

Paper submission for the Workshop on Generative AI for Neuroscience is now closed. We thank all authors for their valuable contributions and interest in this event.

Accepted papers and abstracts will appear in the Brain Informatics 2025 Workshop Proceedings, published in the Springer Lecture Notes in Computer Science (LNCS/LNAI) series. Presenting authors will share their latest results and perspectives during the workshop session on November 11, 2025.

For future updates or upcoming calls for participation, please check this website or visit the official Brain Informatics 2025 conference page.

Important Date