MAR 16, 2017 6:00 AM PDT

Decoding the Mind using Brain Machine Interfaces: Turning Thought into Action

Presented at: Neuroscience 2017
Speaker
  • Professor, Department of Organismal Biology and Anatomy, Chair, Committee on Computational, Neuroscience, Univeristy of Chicago
    Biography
      Nicholas G. "Nicho" Hatsopoulos, Ph.D. is currently a Professor at the University of Chicago. Dr. Hatsopoulos was also Chairman of the Computational Neuroscience graduate program from 2008-2015. He is currently running a laboratory with two graduate students, five postdoctoral fellows, and several technicians which is funded in part by the National Institutes of Health. From January 1998 to December 2001, Dr. Hatsopoulos was an Assistant Professor of Research in the Department of Neuroscience at Brown University. Dr. Hatsopoulos completed two postdoctoral research fellowships, one in the Department of Neuroscience at Brown University and the other in the Computational Neuroscience Program at the California Institute of Technology.
      Dr. Hatsopoulos completed his B.A. in Physics from Williams College in 1984, his M.S. in Psychology in 1991 and his Ph.D. in Cognitive Science from Brown University in 1992.
      In 2001, he co-founded a company, Cyberkinetics Neurotechnology Systems, which took the basic scientific research he and his colleagues conducted to develop neural prosthesis technology to assist people with severe motor disabilities.
      His research focuses on the neural basis of motor control and learning. He is investigating what features of motor behavior are encoded and how this information is represented in the collective activity of neuronal ensembles in the motor cortex. He is also interested in how these representations change as motor learning occurs. To answer these questions, the electrical discharge of many motor cortical neurons is simultaneously recorded using multi-electrode arrays and correlated with motor behavior. The encoding properties of individual motor cortical neurons are being studied to determine how these single cell properties relate to higher-order representations involving groups of neurons. The possibility that changes in functional connectivity among neurons may occur during motor learning is also being explored.

    Abstract

    A fundamental challenge in developing brain machine interfaces (BMIs) is building a decoder between patterns of brain activity and movement in patients with spinal cord injury, ALS, and amputation because these patients cannot move their intact limb .   We demonstrate two approaches to solving this problem.  First, we show that visual observation of action can automatically trigger mirror-like responses in primary motor cortex that are similar to the responses that occur during action.  Using these mirror-like responses, we show that brain activity can be mapped to movement without overt arm movement.  Second, we demonstrate that amputees can learn an arbitrary mapping between brain activity and movement of a robot after long-term exposure to a BMI.  Moreover, we also show how the functional connectivity among neurons controlling the robot undergo modifications during BMI learning which may provide an interesting model of motor skill acquisition.

                 


    Show Resources
    You May Also Like
    OCT 08, 2020 7:00 AM PDT
    C.E. CREDITS
    OCT 08, 2020 7:00 AM PDT
    DATE: October 8, 2020 TIME: 7:00am PDT, 10:00am EDT, 4:00pm CEST How often do you pipette in your cell culture lab every day? Usually, we do it so often that we tend stop thinking about ho...
    DEC 02, 2020 8:00 AM PST
    Add to Calendar Select one of the following: iCal Google Calendar Outlook Calendar Yahoo Calendar
    C.E. CREDITS
    DEC 02, 2020 8:00 AM PST
    Add to Calendar Select one of the following: iCal Google Calendar Outlook Calendar Yahoo Calendar
    DATE: December 2nd, 2020 TIME: 08:00am PDT, 11:00pm EDT Bioreactors and shakers are used to cultivate microorganisms, plant, insect, and mammalian cells in different volumes. Upscaling of pr...
    NOV 18, 2020 8:00 AM PST
    C.E. CREDITS
    NOV 18, 2020 8:00 AM PST
    DATE: November 18, 2020 TIME: 08:00am PDT We develop and implement technologies to solve some of the major bottlenecks in biomedical research. In particular, we establish new imaging approac...
    SEP 02, 2020 7:00 AM PDT
    C.E. CREDITS
    SEP 02, 2020 7:00 AM PDT
    DATE: September 2, 2020 TIME: 03:00pm PDT, 6:00pm EDT Spatial omics is an expanding collection of methods to examine biological molecules in their geographical context. By retaining the prec...
    DEC 16, 2020 8:00 AM PST
    Add to Calendar Select one of the following: iCal Google Calendar Outlook Calendar Yahoo Calendar
    C.E. CREDITS
    DEC 16, 2020 8:00 AM PST
    Add to Calendar Select one of the following: iCal Google Calendar Outlook Calendar Yahoo Calendar
    Date: December 16, 2020 Time: 8:00am (PST), 11:00am (EST) Molecular imaging of living specimens offers a means to draw upon the growing body of high-throughput molecular data to better under...
    AUG 18, 2020 10:00 AM PDT
    C.E. CREDITS
    AUG 18, 2020 10:00 AM PDT
    DATE: August 18, 2020 TIME: 10:00am PT Get deeper understanding of gene expression patterns by using assays that retain spatial organization at single cell resolution! Come learn about the n...
    Loading Comments...
    Show Resources