3rd BCI-UC

The 3rd BCI-UC will be held on January 27th, 2022 from 03:00 pm to 09:00 pm (CET).

Registration and abstract submission are open as of November 1st, 2021:

The link for registration and abstract submission will be provided here.

 

For the 3rd BCI-UC, we solicit this type of submission:

  • Presentations: applications for 20 minutes slots by a single presenter.

Submission closes on December 3rd, 2021 at 11:59 pm

Voting on submitted abstracts begins on December  6th, 2021.
and  closes on December 12th, 2021 at 11:59 pm.

We will invite the authors of the top-voted abstracts to present at the un-conference.
All presentations will be streamed via crowdcast and can be accessed free-of-charge.

 

In addition to the contributed talks, the 3rd BCI-UC will feature 2 keynotes.


For further information, see the FAQ section.

 Schedule

 will be available after voting is finished and when the invited presenters have accepted

Keynote Speakers

Cynthia A. CHESTEK

PhD.
Associate Professor of Biomedical Engineering, Electrical Engineering, Neuroscience and Robotics.
University of Michigan, Ann Arbor
chestekresearch.engin.umich.edu

Title: Neural Interfaces for Controlling Finger Movements

Abstract:  Brain machine interfaces or neural prosthetics have the potential to restore movement to people with paralysis or amputation, bridging gaps in the nervous system with an artificial device. Microelectrode arrays can record from up to hundreds of individual neurons in motor cortex, and machine learning can be used to generate useful control signals from this neural activity. Performance can already surpass the current state of the art in assistive technology in terms of controlling the endpoint of computer cursors or prosthetic hands. The natural next step in this progression is to control more complex movements at the level of individual fingers. Our lab has approached this problem in three different ways. For people with upper limb amputation, we acquire signals from individual peripheral nerve branches using small muscle grafts to amplify the signal. Human study participants have been able to control individual fingers on a prosthesis using indwelling EMG electrodes within these grafts. For spinal cord injury, where no peripheral signals are available, we implant Utah arrays into finger areas of motor cortex, and have demonstrated the ability to control flexion and extension in multiple fingers simultaneously. Decoding "spiking band" activity at much lower sampling rates, we also recently showed that power consumption of an implantable device could be reduced by an order of magnitude compared to existing broadband approaches, and fit within the specification of existing systems for upper limb functional electrical stimulation. Finally, finger control is ultimately limited by the number of independent electrodes that can be placed within cortex or the nerves, and this is in turn limited by the extent of glial scarring surrounding an electrode. Therefore, we developed an electrode array based on 8 um carbon fibers, no bigger than the neurons themselves to enable chronic recording of single units with minimal scarring. The long-term goal of this work is to make neural interfaces for the restoration of hand movement a clinical reality for everyone who has lost the use of their hands.

Biography: Cynthia A. Chestek received the B.S. and M.S. degrees in electrical engineering from Case Western Reserve University in 2005 and the Ph.D. degree in electrical engineering from Stanford University in 2010. She is now an associate professor of Biomedical Engineering at the University of Michigan, Ann Arbor, MI, where she joined the faculty in 2012. She runs the Cortical Neural Prosthetics Lab, which focuses on brain and nerve control of finger movements as well as high-density carbon fiber electrode arrays. She is the author of 58 full-length scientific articles. Her research interests include high-density interfaces to the nervous system for the control of multiple degree of freedom hand and finger movements.

 

Thorsten O. ZANDER

Lichtenberg Professor for Neuroadaptive Human-Computer Interaction at TU Brandenburg
www.b-tu.de/fg-neuroadaptive-hci/team/leitung

Title: TBA

Abstract:  TBA

Biography: "Thorsten O. Zander is Lichtenberg Professor for Neuroadaptive Human-Computer Interaction [https://www.b-tu.de/fg-neuroadaptive-hci/]  at Brandenburg University of Technology Cottbus-Senftenberg, Visiting Professor at the Higher School for Economics in Moscow, and the founder of Zander Laboratories [https://zanderlabs.com/] in Amsterdam, the Netherlands and Zander Labs Research in Cottbus, Germany. His research interests include using neurophysiological signals to decode the cognitive or affective state of humans interacting with technology. By developing novel Brain-Computer interfaces (BCIs), his groups aim to automatically assess information about the users’ state to augment and automatically adapt human-computer interaction and to improve the learning rate of artificial intelligence. He is considered to be a pioneer in the field of passive BCIs, which he defined in 2008, and he is the co-founder and co-leader of the Society for Neuroadaptive Technology [https://neuroadaptive.org/]. Furthermore, he is affiliated with the Swartz Center for Computational Neuroscience, University of California San Diego, is advising the OECD and is member of Microsoft’s Technical Leadership Advisory Board (TLAB) on BCI and Artificial Intelligence."

Contributed Talks

will be listed here after the voting period.