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Workshop · Signal Processing

BrainBodyFM @ NeurIPS 2026: NeurIPS 2026 Workshop on Foundation Models for the Brain and Body

11–12 Dec 2026 · Sydney, Australia

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BrainBodyFM @ NeurIPS 2026

Engineering & Technology › Signal Processing

Paper deadline4 Sept 2026 Submissions closed

About BrainBodyFM @ NeurIPS

BrainBodyFM @ NeurIPS 2026 is the NeurIPS 2026 Workshop on Foundation Models for the Brain and Body, a signal processing workshop. It takes place on 11 December 2026 in Sydney, Australia. Full papers were due 4 September 2026.

We are pleased to announce the second edition of the “Foundation Models for the Brain and Body” 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/

Important dates

  1. Paper submission
  2. Author notificationNext
  3. Conference begins

Topics of interest

Before you submit

  • Read the full call for papers — page limits, template (IEEE, ACM, LNCS …) and whether review is double-blind.
  • Deadlines are usually 23:59 Anywhere on Earth (AoE) — convert to Bangladesh time (UTC+6) and aim to submit a day early.
  • At least one author normally has to register and present; budget for the fee and, for in-person events, a visa appointment well before the conference.
  • Look for student travel grants and volunteer programmes — most large conferences run both, with deadlines soon after notification.

More Signal Processing conferences

BrainBodyFM @ NeurIPS 2026 — deadlines, ranking & call for papers