Connectionists: [CfP] NeurIPS 2026 Workshop on Foundation Models for the Brain and Body

[Nanda Harishankar Krishna]

We are pleased to announce the second edition of the “Foundation Models for
the Brain and Body <https://brainbodyfm-workshop.github.io/>” workshop at
NeurIPS 2026 in Sydney, Australia.

The workshop brings together researchers at the intersection of biosignals,
neuroscience, machine learning, and embodied intelligence. We invite
submissions of short papers on novel research in neuroscience, biosignal
analysis, machine learning, and embodied AI, with a focus on foundation
models and representation learning for neural, physiological, and
behavioral data. We also invite interactive demo proposals showcasing novel
methods, devices, systems, or applications.

We broadly define biosignals as any temporal signal directly or indirectly
generated by the brain or body. This includes neural recordings such as
EEG, MEG, and multi-electrode arrays; physiological signals such as heart
rate, respiration, and EMG; and behavioral signals such as pose, gaze, and
movement. Submissions may focus on methods, applications, or theoretical
insights that advance our understanding and modeling of neural,
physiological, and behavioral signals in humans and animals. We
particularly encourage work on scalable foundation models that generalize
across tasks, subjects, modalities, or domains.

Relevant topics include, but are not limited to:
• Large-scale pretraining on neural or physiological signals
• Scaling laws for biosignal foundation models
• Brain-computer interfaces and neural decoding
• Transfer learning across recording modalities
• Cross-subject and cross-task generalization
• Few-shot, zero-shot, and continual learning
• Multimodal integration of biosignals
• Wearable technology and real-world deployment
• Modeling behavioral signals such as pose, gaze, and movement
• Foundation models for movement, motor control, and EMG
• Embodied intelligence and sensorimotor representation learning
• Closed-loop and interactive systems, including BCI control and assistive
robotics
• Scaling techniques from robotics and control applied to biosignal modeling
• Applications to health and clinical diagnosis
• Interpretability of biosignal representations
• Synthetic data generation and augmentation
• Human-AI collaboration for signal interpretation and labeling
• Open datasets, benchmarks, and model evaluation
• Evaluation protocols and standardized benchmarks across modalities
• Reproducibility and standardized reporting

*Important Dates (AoE)*
• Paper Submission Deadline: *September 4, 2026*
• Demo Submission Deadline: *September 19, 2026*
• Paper Author Notification: September 29, 2026
• Workshop Date: December 11 or 12, 2026, in Sydney, Australia

Stay tuned for announcements about our invited speakers, panelists, and
workshop schedule.

For submission details and more information, please visit:
https://brainbodyfm-workshop.github.io/
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