Cover Image

Advancing Brainwave Modeling with a Codebook-Based Foundation Model

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Barmpas, Konstantinos, Lee, Na, Panagakis, Yannis, Adamos, Dimitrios A., Laskaris, Nikolaos, Zafeiriou, Stefanos
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Human-Computer Interaction
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Are Large Brainwave Foundation Models Capable Yet? Insights from Fine-tuning
by: Lee, Na, et al.
Published: (2025)

NeuroRVQ: Multi-Scale Biosignal Tokenization for Generative Foundation Models
by: Barmpas, Konstantinos, et al.
Published: (2025)

EEG-D3: A Solution to the Hidden Overfitting Problem of Deep Learning Models
by: Ludwig, Siegfried, et al.
Published: (2025)

Beyond Accuracy: Robustness, Interpretability and Expressiveness of EEG Foundation Models
by: Širca, Urban, et al.
Published: (2026)

A Pain Assessment Framework based on multimodal data and Deep Machine Learning methods
by: Gkikas, Stefanos
Published: (2025)

Scaling Wearable Foundation Models
by: Narayanswamy, Girish, et al.
Published: (2024)

Multimodal Foundation Models for Early Disease Detection
by: Mohsin, Md Talha, et al.
Published: (2025)

Improving User Experience in Preference-Based Optimization of Reward Functions for Assistive Robots
by: Dennler, Nathaniel, et al.
Published: (2024)

Recording First-person Experiences to Build a New Type of Foundation Model
by: Barcari, Dionis, et al.
Published: (2024)

Jigsaw: Supporting Designers to Prototype Multimodal Applications by Chaining AI Foundation Models
by: Lin, David Chuan-En, et al.
Published: (2023)

COMFORT: A Continual Fine-Tuning Framework for Foundation Models Targeted at Consumer Healthcare
by: Li, Chia-Hao, et al.
Published: (2024)

Analyzing Character Representation in Media Content using Multimodal Foundation Model: Effectiveness and Trust
by: Taka, Evdoxia, et al.
Published: (2025)

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation
by: Dennler, Nathaniel, et al.
Published: (2025)

SpecMoE: Spectral Mixture-of-Experts Foundation Model for Cross-Species EEG Decoding
by: Darankoum, Davy, et al.
Published: (2026)

RuleEdit: Failure-Guided Human-AI Model Editing with Prospective Impact Preview
by: Lee, Min Hun, et al.
Published: (2026)

Advancing Human-Machine Teaming: Concepts, Challenges, and Applications
by: Chen, Dian, et al.
Published: (2025)

Mobile Fitting Room: On-device Virtual Try-on via Diffusion Models
by: Blalock, Justin, et al.
Published: (2024)

Coprocessor Actor Critic: A Model-Based Reinforcement Learning Approach For Adaptive Brain Stimulation
by: Pan, Michelle, et al.
Published: (2024)

RAICL: Retrieval-Augmented In-Context Learning for Vision-Language-Model Based EEG Seizure Detection
by: Li, Siyang, et al.
Published: (2026)

Talaria: Interactively Optimizing Machine Learning Models for Efficient Inference
by: Hohman, Fred, et al.
Published: (2024)

One-Block Transformer (1BT) for EEG-Based Cognitive Workload Assessment
by: Gkikas, Stefanos, et al.
Published: (2026)

Predicting Trust In Autonomous Vehicles: Modeling Young Adult Psychosocial Traits, Risk-Benefit Attitudes, And Driving Factors With Machine Learning
by: Kaufman, Robert, et al.
Published: (2024)

Agent-Based Modeling and Deep Neural Networks for Establishing Digital Twins of Secure Facilities under Sensing Restrictions
by: Gunaratne, Chathika, et al.
Published: (2025)

A Foundation Model for Wearable Movement Data in Mental Health Research
by: Ruan, Franklin Y., et al.
Published: (2024)

A Model for Intelligible Interaction Between Agents That Predict and Explain
by: Baskar, A., et al.
Published: (2023)

TinyMyo: a Tiny Foundation Model for Flexible EMG Signal Processing at the Edge
by: Fasulo, Matteo, et al.
Published: (2025)

U-Define: Designing User Workflows for Hard and Soft Constraints in LLM-Based Planning
by: Lee, Christine P, et al.
Published: (2026)

CaMBRAIN: Real-time, Continuous EEG Inference with Causal State Space Models
by: Durgam, Abhilash, et al.
Published: (2026)

Influencing Humans to Conform to Preference Models for RLHF
by: Hatgis-Kessell, Stephane, et al.
Published: (2025)

Modulating Language Model Experiences through Frictions
by: Collins, Katherine M., et al.
Published: (2024)

Impact of Age Specialized Models for Hypoglycemia Classification
by: Cinar, Beyza, et al.
Published: (2026)

Advancing DRL Agents in Commercial Fighting Games: Training, Integration, and Agent-Human Alignment
by: Zhang, Chen, et al.
Published: (2024)

The Human-Data-Model Interaction Canvas for Visual Analytics
by: Bernard, Jürgen
Published: (2025)

More Than Irrational: Modeling Belief-Biased Agents
by: Zhu, Yifan, et al.
Published: (2025)

Human-Computer Interaction and Human-AI Collaboration in Advanced Air Mobility: A Comprehensive Review
by: Sagirli, Fatma Yamac, et al.
Published: (2024)

Model-in-the-Loop (MILO): Accelerating Multimodal AI Data Annotation with LLMs
by: Wang, Yifan, et al.
Published: (2024)

EEG-SSM: Leveraging State-Space Model for Dementia Detection
by: Tran, Xuan-The, et al.
Published: (2024)

ScaleViz: Scaling Visualization Recommendation Models on Large Data
by: Ahmad, Ghazi Shazan, et al.
Published: (2024)

CliMB: An AI-enabled Partner for Clinical Predictive Modeling
by: Saveliev, Evgeny, et al.
Published: (2024)

Wrapper Boxes: Faithful Attribution of Model Predictions to Training Data
by: Su, Yiheng, et al.
Published: (2023)