NeurIPS 2025PastLarge language modelsNeuroscience
NeurIPS 2025 Workshop on Foundation Models for the Brain and Body
NeurIPS 2025 Workshop BrainBodyFM
- Submission deadline
- Aug 30, 2025, 12:00 UTCimported from OpenReview — check the website for extensions
- Submission portal
- OpenReview
- Notes
- Topics were auto-suggested and may be imprecise — edits welcome.
Accepted papers (57)
Fetched from OpenReview (v2) on 2026-06-10.
‘EEGReXferNet’ – A Lightweight Gen-AI Framework for EEG Subspace Reconstruction via Cross-Subject Transfer Learning and Channel-Aware Embedding.
∆ DELTA: Language Diffusion-based EEG-to-Text Architecture
A foundation model with multi-variate parallel attention to generate neuronal activity
A scalable self-supervised method for modeling human intracranial recordings during natural behavior
A Sensing Whole Brain Zebrafish Foundation Model for Neuron Dynamics and Behavior
A VQ-VAE framework for modeling physiological information in fMRI
Adapting Neural Audio Codecs to EEG
Advancing Brainwave Modelling with a Codebook-Based Foundation Model
Are foundation models useful feature extractors for electroencephalography analysis?
Brain2Model Learning: Training sensory and decision models with human neural activity as a teacher
CONFORM: A Project to Create Crowd-Sourced Open Neuroscience fMRI Foundation Models
CPEP: Contrastive Pose-EMG Pre-training Enhances Gesture Generalization on EMG signals
Decoder-as-Policy: Head-Only PPO Fine-Tuning of a Spike-Transformer for Low-Error Kinematic Decoding
Decoding Predictive Inference in Visual Language Processing via Spatiotemporal Neural Coherence
EEG Foundation Models: A Critical Review of Current Progress and Future Directions
EEG-Bench: A Benchmark for EEG Foundation Models in Clinical Applications
Efficient Calibration in Motor Imagery BCIs Under Data Constraints via Subject Transfer
ENIGMA: A Unified Lightweight EEG-to-Image Model for Multi-Subject Visual Decoding
Evaluating Foundation Models for the Brain: A Dynamical Systems Perspective
Exploring RAG-driven Multimodal LLMs for Explainable ECG Interpretation
FireGNN: Neuro-Symbolic Graph Neural Networks with Trainable Fuzzy Rules for Interpretable Medical Image Classification
GAN-Guided Diffusion Models for Generating Clinically Meaningful Multimodal Neuroimaging Data
Handwriting decoding as a challenging Motor Imagery task for EEG Foundation Models
HuiduRep: A Self-Supervised Learning Framework for More Robust Neural Representations from Extracellular Recordings
Human Sensory-Musculoskeletal Modeling and Control of Whole-Body Movements
Imitation learning of dexterous hand control uncovers muscle-level representations in primate sensorimotor cortex
Interpretable-MTLNet: A Kolmogorov–Arnold Network for Multitask Mental Health Prediction
Latent Graph Learning in Generative Models of Neural Signals
Learning Structured Sleep Transitions with Sequential EEG Foundation Models
Learning the relative composition of EEG signals using pairwise relative shift pretraining
Learning Time-Scale Invariant Population-Level Neural Representations
Leveraging Foundational Models and Simple Fusion for Multi-modal Physiological Signal Analysis
MIRAGE: Robust multi-modal architectures translate fMRI-to-image models from vision to mental imagery
Mitigating Subject Dependency in EEG Decoding with Subject-Specific Low-Rank Adapters
Mouse-Guided Gaze: Semi-Supervised Learning of Intention-Aware Representations for Reading Detection
Multi-modal, multi-species, and multi-task latent-space model for decoding level of consciousness
MultiDiffNet: A Multi-Objective Diffusion Framework for Generalizable Brain Decoding
NeuroMamba: A State-Space Foundation Model for Functional MRI
Not All Sessions Are Equal: Data Selection for Multi-Session Pretraining in Neural Data Transformers
Optimizing fMRI Data Acquisition for Decoding Natural Speech with Limited Participants
PhysioJEPA: Joint Embedding Representations of Physiological Signals for Real Time Risk Estimation in the Intensive Care Unit
Predictive Modeling of Brain-Body Association
PrimateFace: A Resource for Generalizable Cross-Species Facial Analysis
Processing fMRI Brain Signals Using Latents from Natural Image Autoencoders
Region-Aware Reconstruction Strategy for Pre-training fMRI Foundation Model
Representation-First Emotion Decoding from 7T fMRI
Resource-Efficient ECG Foundation Networks via Layer-wise Adaptive Compression
Scalable Diffusion Transformer for Conditional 4D fMRI Synthesis
Scaling Vision Transformers for Functional MRI with Flat Maps
Simple Temporal Attention Beats Complex Decoders for Neural-to-Visual Mapping from Primate Spiking Data
The Neural Pile: 476 billion tokens of broad-coverage spiking neural activity data
The One Where They Brain-Tune for Social Cognition: Multi-Modal Brain-Tuning on Friends
Towards a generalizable, unified framework for multimodal neural decoding
Towards Clinically Faithful ECG Reports via Quantization-Based Tokenization
Towards foundation models of naturalistic collective social‑neural dynamics
Towards Interpretable Visual Decoding with Attention to Brain Representations
Unified Pretraining on Mixed Optophysiology and Electrophysiology Data Across Brain Regions