Brain-Computer Interfaces

Also known as BCI

Ask about this topic

Overview

Brain-computer interfaces (BCIs) measure brain activity and decode it into actions or information, enabling communication and control when ordinary movement or speech is limited. Researchers use non-invasive EEG and MEG as well as implanted signals such as ECoG and intracortical recordings, applying methods from spatial filtering and Riemannian geometry to convolutional, Transformer, and state-space models. Common tasks include motor imagery, P300 and SSVEP selection, speech decoding, and continuous movement control; self-supervised pretraining and adaptation aim to reduce the data and calibration needed for new users or sessions. A central challenge is reliable real-world performance: neural signals vary across people and over time, and stronger offline accuracy does not always mean faster, safer, or more usable communication.

Latest papers

CardsList

130 papers13 papers in the last four weeks, down 19% on the four weeks before. 0.1% of all new papers.

  1. CFSPMNet: Cross-subject Fourier-guided Spatial-Patch Mamba Network for EEG Motor Imagery Decoding in Stroke Patients

    May 11, 2026Xiangkai Wang, Yun Zhao, Dongyi He +5Cross-Subject EEG DecodingBrain-Computer Interfaces

    School of Artificial Intelligence, Chongqing University of Technology, Chongqing 401135, China; Chongqing Key Laboratory of Embodied Intelligence Perception and Autonomous Learning for Humanoid Robots; Key Laboratory of Advanced Equipment Intelligence of the Chongqing Education Commission, Chongqing 401135, China · School of Smart Health, Chongqing Polytechnic University of Electronic Technology, Chongqing 401131, China · Department of Language Science and Technology, The Hong Kong Polytechnic University, Hung Hom, Hong Kong SAR, China +1

  2. Zero-Shot Imagined Speech Decoding via Imagined-to-Listened MEG Mapping

    May 8, 2026Maryam Maghsoudi, Shihab ShammaBrain-Computer InterfacesNeural Decoding

    University of Maryland · College Park, MD 20740

  3. UniBCI: Towards a Unified Pretrained Model for Invasive Brain-Computer Interfaces

    Apr 30, 2026Binjie Hong, Rui Xiong, Liyuan Han +1Brain-Computer InterfacesSelf-Supervised Pre-Training

    Brain Science Data Center · CEBSIT, Institute of Neuroscience

  4. On the Identifiability of User Adaptation in Co-Adaptive Neural Interfaces

    Apr 24, 2026Philip WaggonerBrain-Computer InterfacesParameter Identifiability

    Stanford University

  5. MoDAl: Self-Supervised Neural Modality Discovery via Decorrelation for Speech Neuroprosthesis

    Apr 22, 2026Yuanhao Chen, Peter ChinBrain-Computer InterfacesNeural Decoding

    Dartmouth College Hanover, NH, USA

  6. Brain-Inspired Capture: Evidence-Driven Neuromimetic Perceptual Simulation for Visual Decoding

    Apr 20, 2026Feixue Shao, Guangze Shi, Xueyu Liu +6Representation LearningBrain-Computer Interfaces

    School of Mathematics, Taiyuan University of Technology, Shanxi 030024, China · College of Artificial Intelligence, Taiyuan University of Technology, Shanxi 030024, China · National Human Genetics Resource Center, National Research Institute for Family Planning, Beijing 100000, China +1

  7. PA-TCNet: Pathology-Aware Temporal Calibration with Physiology-Guided Target Refinement for Cross-Subject Motor Imagery EEG Decoding in Stroke Patients

    Apr 17, 2026Xiangkai Wang, Yun Zhao, Dongyi He +5Cross-Subject EEG DecodingBrain-Computer Interfaces

    School of Artificial Intelligence, Chongqing University of Technology, Chongqing 401135, China; Chongqing Key Laboratory of Embodied Intelligence Perception and Autonomous Learning for Humanoid Robots; Key Laboratory of Advanced Equipment Intelligence of the Chongqing Education Commission, Chongqing 401135, China · School of Smart Health, Chongqing Polytechnic University of Electronic Technology, Chongqing 401131, China · Department of Language Science and Technology, The Hong Kong Polytechnic University, Hung Hom, Hong Kong SAR, China +2

  8. EEG-MFTNet: An Enhanced EEGNet Architecture with Multi-Scale Temporal Convolutions and Transformer Fusion for Cross-Session Motor Imagery Decoding

    Apr 7, 2026Panagiotis Andrikopoulos, Siamak MehrkanoonMI ClassificationBrain-Computer Interfaces

    Department of Information and Computing Sciences, Utrecht University, Utrecht, Netherlands

  9. iPhoneme: Brain-to-Text Communication for ALS Using ConformerXL Decoding

    Apr 7, 2026Yoonmin Cha, Dawit Chun, Sung ParkConformerBrain-Computer Interfaces

    School of Data Science and Artificial Intelligence, Taejae University

  10. Interpretable Fuzzy Modeling Reveals Population-Level Representation Differences in P300 Brain Computer Interfaces Across Neurodivergent and Neurotypical Cohorts

    Apr 4, 2026Xiaowei Jiang, Sudong Shang, Adrian Wilkinson +4Brain-Computer InterfacesEEG Decoding

    Computational Intelligence and Brain-Computer Interfaces lab, Australian AI Institute, Faculty of Engineering and Information Technology, University of Technology Sydney, 2007, Australia · Department of Management, Griffith Business School, 4215, Australia · Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, 19104, USA +2

  11. Bridging scalp and intracranial EEG in BCI via pretrained neural representations and geometric constraint embedding

    Apr 3, 2026Yihang Dong, Changhong Jing, Shuqiang WangBrain-Computer InterfacesElectroencephalography

    Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China. · University of Chinese Academy of Sciences, Beijing, China.

  12. LI-DSN: A Layer-wise Interactive Dual-Stream Network for EEG Decoding

    Apr 2, 2026Chenghao Yue, Zhiyuan Ma, Zhongye Xia +4EEG DecodingNeural Decoding

    School of Life Sciences, Tsinghua University, Beijing 100084, China · School of Biomedical Engineering, Tsinghua Laboratory of Brain and Intelligence, and IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing 100084, China · Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen 518055, China +1

  13. NeuroPath: Practically Adopting Motor Imagery Decoding through EEG Signals

    Mar 30, 2026Jiani Cao, Kun Wang, Yang Liu +1MI ClassificationBrain-Computer Interfaces

    Department of Computer Science City University of Hong Kong Hong Kong, China · Department of Computer Science Florida State University Tallahassee, United States

  14. WearBCI Dataset: Understanding and Benchmarking Real-World Wearable Brain-Computer Interfaces Signals

    Mar 29, 2026Haoxian Liu, Hengle Jiang, Lanxuan Hong +1EEG Artifact RemovalBrain-Computer Interfaces

    Hong Kong University of Science and Technology, Hong Kong SAR, China

  15. Copilot-Assisted Second-Thought Framework for Brain-to-Robot Hand Motion Decoding

    Mar 29, 2026Yizhe Li, Shixiao Wang, Jian K. LiuEEG DecodingBrain-Computer Interfaces

    University of Birmingham, Birmingham, United Kingdom · University of Birmingham

  16. Spiking Personalized Federated Learning for Brain-Computer Interface-Enabled Immersive Communication

    Mar 24, 2026Chen Shang, Dinh Thai Hoang, Diep N. Nguyen +1Federated LearningBrain-Computer Interfaces

    School of Electrical and Data Engineering, University of Technology Sydney, Australia · Thrust of Internet of Things, The Hong Kong University of Science and Technology (Guangzhou), China

  17. Characterizing the onset and offset of motor imagery during passive arm movements induced by an upper-body exoskeleton

    Mar 21, 2026Kanishka Mitra, Frigyes Samuel Racz, Satyam Kumar +2Brain-Computer InterfacesMI Classification

    Chandra Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA. · Department of Neurology, The University of Texas at Austin, Austin, TX, USA. · Walker Department of Mechanical Engineering, The University of Texas at Austin, Austin, TX, USA.

  18. ALIGN: Adversarial Learning for Generalizable Speech Neuroprosthesis

    Mar 18, 2026Zhanqi Zhang, Shun Li, Bernardo L. Sabatini +2Brain-Computer InterfacesNeural Decoding

    Kempner Institute for the Study of Natural and Artificial Intelligence, Harvard University, Boston, Massachusetts, USA · Halıcıo˘glu Data Science Institute, Department of Electrical and Computer Engineering, Department of Computer Science and Engineering, University of California San Diego, La Jolla, California, USA

  19. Variational Phasor Circuits for Phase-Native Brain-Computer Interface Classification

    Mar 18, 2026Dibakar SigdelMI ClassificationBrain-Computer Interfaces

    Mindverse Computing LLC, WA 98087

  20. SENSE: Efficient EEG-to-Text via Privacy-Preserving Semantic Retrieval

    Mar 17, 2026Akshaj Murhekar, Christina Liu, Abhijit Mishra +2EEG-to-Text DecodingEEG Decoding

    The University of Texas at Austin School of Information Austin, Texas, USA · Institute of Applied Computer Science Łódź University of Technology Poland

  21. Real-Time Decoding of Movement Onset and Offset for Brain-Controlled Rehabilitation Exoskeleton

    Mar 17, 2026Kanishka Mitra, Satyam Kumar, Frigyes Samuel Racz +3Brain-Computer InterfacesAssistive Robotics

    Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA. · Chandra Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA. · Department of Neurology, The University of Texas at Austin, Austin, TX, USA. +3

  22. LightBeam: An Accurate and Memory-Efficient CTC Decoder for Speech Neuroprostheses

    Mar 14, 2026Ebrahim Feghhi, Junlin Hu, Nima Hadidi +1Connectionist Temporal ClassificationBrain-Computer Interfaces

    Neuroscience Interdepartmental Program, University of California Los Angeles · Department of Electrical & Computer Engineering, University of California Los Angeles · Department of Computer Science, University of California Los Angeles

  23. Synthetic Data Generation for Brain-Computer Interfaces: Overview, Benchmarking, and Future Directions

    Mar 11, 2026Ziwei Wang, Zhentao He, Xingyi He +6Synthetic Data GenerationBrain-Computer Interfaces

    School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China · Zhongguancun Academy, Beijing, China

  24. Riemannian Geometry-Preserving Variational Autoencoder for MI-BCI Data Augmentation

    Mar 11, 2026Viktorija Poļaka, Ivo Pascal de Jong, Andreea Ioana SburleaSynthetic Data AugmentationVariational Autoencoders

    Faculty of Science and Engineering, University of Groningen, Groningen, The Netherlands

  25. The Challenge of Out-Of-Distribution Detection in Motor Imagery BCIs

    Mar 4, 2026Merlijn Quincent Mulder, Matias Valdenegro-Toro, Andreea Ioana Sburlea +1OOD DetectionBrain-Computer Interfaces

    Department of Artificial Intelligence, University of Groningen 9747 AG Groningen, The Netherlands

  26. BrainWhisperer: Leveraging Large-Scale ASR Models for Neural Speech Decoding

    Mar 4, 2026Tommaso Boccato, Michal Olak, Matteo FerranteBrain-to-Speech DecodingBrain-Computer Interfaces

    Tether Evo

  27. EEG-Based Brain-LLM Interface for Human Preference Aligned Generation

    Mar 3, 2026Junzi Zhang, Jianing Shen, Weijie Tu +5Brain-Computer InterfacesHuman Preference Modeling

    Shandong University, China · Australian National University, Australia · Curtin University, Australia

  28. Percept-Aware Surgical Planning for Visual Cortical Prostheses with Vascular Avoidance

    Feb 27, 2026Galen Pogoncheff, Alvin Wang, Jacob Granley +1Brain-Computer InterfacesVisual Neuroscience

    Department of Computer Science, University of California Santa, Barbara · School of Computer Science, Carnegie Mellon University · Department of Psychological & Brain Sciences, University of California, Santa Barbara

  29. DECODE: Dual-Enhanced Conditioned Diffusion for EEG Forecasting

    Feb 25, 2026Mehran Shabanpour, Sadaf Khademi, Konstantinos N Plataniotis +1EEG Signal GenerationTime Series Forecasting

    Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Canada. · Department of Electrical and Computer Engineering, University of Toronto, Canada

  30. EEG-Driven Intention Decoding: Offline Deep Learning Benchmarking on a Robotic Rover

    Feb 23, 2026Ghadah Alosaimi, Maha Alsayyari, Yixin Sun +3Brain-Computer InterfacesEEG Decoding

    Department of Computer Science, Imam Mohammad Ibn Saud Islamic University, Saudi Arabia · Department of Computer Science, Durham University, UK · Department of Computer Science, King Saud University, Saudi Arabia +1