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Jose del R. Millan

The University of Texas at Austin

CNBI Lab

Clinical Neuroprosthetics and Brain Interaction LabCNBI Lab

 

 
  • About
  • Team
    • CNBI Lab Members
    • Alumni
  • Research
  • Publications
  • Projects
    • Closed-Loop Brain Stimulation as a Potential Intervention for Cognitive Decline
    • Sinergia
    • Hasler project
    • NCCR Robotics
    • CNBI-NISSAN
    • BNCI Horizon 2020
    • TOBI
    • CNBI-Colombia
    • Opportunity
    • BID
    • BACS
    • MAIA
    • IM2, BMI Integrated Project (Swiss NCCR)
  • Events
  • News
  • Video-Media

About

Welcome to CNBI
Clinical Neuroprosthetics and Brain Interaction Lab

We are a team of researchers led by Prof. José del R. Millán at The University of Texas at Austin, USA. The focus of our research is on the direct use of human brain signals to control devices, interact with our environment, and eventually recover from insults to and deficits of our central nervous system. We are involved in a large set of complementary projects, which balance the exploration of new brain signals for interaction, development of prototypes — where robust real-time operation is critical, — and their clinical translation.

CNBI is small enough to be friendly, but large enough to provide a stimulating research environment.

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CNBI is part of the Dept. of Electrical and Computer Engineering, Cockrell School of Engineering; the Dept. of Neurology, Dell Medical School; the Wireless Networking and Communications Group (WNCG); Texas Robotics; UT CARE Initiative; the Institute for Neuroscience and the Mulva Clinic for the Neuroscience. 

We invite you to navigate our website and find out more about us and our work.

Latest News

  • Brain-Powered Wheelchair Shows Real-World Promise
  • UT Researchers Develop Electrode to Rehabilitate Stroke Patients at Home
  • Stable Electrodes for Long-Term, Wearable Brain-Machine Interface
  • José Del R. Millán Nominated as a Dell Medical School Visionary
  • Akhil Surapaneni: Advancing Brain Tumor Treatments

Latest Journal Publications

Beraldo, G., Tonin, L., Cesta, A., Menegatti, E., Millán, J.d.R. (2023). Validation of Shared Intelligence Approach for Teleoperating Telepresence Robots Through Inaccurate Interfaces. In: Petrovic, I., Menegatti, E., Marković, I. (eds) Intelligent Autonomous Systems 17. IAS 2022. Lecture Notes in Networks and Systems, vol 577. Springer, Cham.

Luca Tonin, Serafeim Perdikis, Taylan Deniz Kuzu, Jorge Pardo, Bastien Orset, Kyuhwa Lee, Mirko Aach, Thomas Armin Schildhauer, Ramón Martínez-Olivera, José del R. Millán. Learning to control a BMI-driven wheelchair for people with severe tetraplegia. iScience. 2022. 105418.

Ju-Chun Hsieh, Hussein Alawieh, Yang Li, Fumiaki Iwane, Linran Zhao, […]. A highly stable electrode with low electrode-skin impedance for wearable brain-computer interface. Biosensors and Bioelectronics. 2022, 114756.

JH. Jeong, JH. Cho, YE. Lee, SH. Lee, GH. Shin, YS. Kweon,  J.d.R. Millán, KR. Müller, SW Lee. 2020 International brain-computer interface competition: A review. Front Hum Neurosci. 2022 Jul, 22(16):898300.

F. Dell’Agnola, P.-K. Jao, R. Chavarriaga, J.d.R. Millán, D. Floreano, D. Atienza. (2022). Machine-Learning Based Monitoring of Cognitive Workload in Rescue Missions with Drones. in IEEE J. of Biomedical and Health Informatics,2022 Sep, 26(9):4751-4762.


For a complete list of publications go to our Publications page!

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