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2016 Rockwood Memorial Lecture

INC sponsors the H. Paul Rockwood Memorial Lectureship held annually. The Rockwood Memorial Lectureship Fund was gifted to the Institute by Mr. and Mrs. Jerome Rockwood in memory of their late son's interest, studies, and work in the neural computation field.
The Rockwood Memorial Lectures are endowed by Mr. and Mrs. Jerome Rockwood in memory of their late son, Paul, who received a B.S. in Computer Science from UCSD in 1980 and then obtained a second degree B.A. in Psychology in 1981. In 1983 he started a company, Integral Solutions, to develop a universal language translation, but died tragically in a mountaineering accident before he could fulfill his promise.

 

BRAIN-MACHINE INTERFACES: FROM BASIC SCIENCE AND ENGINEERING TO CLINICAL TRIALS


Who:
Dr. Krishna Shenoy
Departments of Electrical Engineering, Bioengineering & Neurobiology
Professor, Stanford University
Investigator, Howard Hughes Medical Institute

When:
December 15, 2016 - 4:00-6:00 p.m.

Where:
MET - Medical Education and Telemedicine Building - Lower Auditorium (Google Map)
Light reception to follow across the courtyard in MET – MedEd Room 141 (Learning Center)
Download Flier

 

Abstract:

Millions of people worldwide suffer from neurological disease and injury leading to paralysis, which is often so severe that people are unable to feed themselves or communicate. Cortically-controlled brain-machine interfaces (BMIs) aim to restore some of this lost function by converting neural activity from the brain into control signals for prosthetic devices. I will describe some of our group's recent investigations into basic motor neurophysiology focused on understanding neural population
dynamics, pre-clinical BMIs focused on high-performance control algorithm design, and translational BMI development and pilot clinical trial results focused on helping establish clinical viability.

Bio: Krishna Shenoy, Ph.D., is a Professor of Electrical Engineering, Bioengineering and Neurobiology at Stanford University. He is also a Howard Hughes Medical Institute Investigator. Prof. Shenoy holds a B.S. in Electrical and Computer Engineering from UC Irvine (1987-1990), a Ph.D. in Electrical Engineering and Computer Science from MIT (1990-1995), was a postdoctoral fellow in Neurobiology at Caltech (1995-2001), and has been on faculty at Stanford since then (Assistant Prof. 2001-2008, Associate Prof. 2008-2012, Full Prof. 2012 to present). Prof. Shenoy directs the Stanford Neural Prosthetic Systems Lab and co-directs the Stanford Neural Prosthetics Translational Laboratory, which aim to help restore lost motor function to people with paralysis.

 

Organized by:
UCSD Institute for Neural Computation
contactus.html

 

Past H. Paul Rockwood Memorial Lectureships

  • 2015 Lecturer: Dr. Kwabena Boahen
    Neuromorphic Chips: Combining Analog Computation with Digital Communication

  • 2014 Lecturer: Dr. Bruce McNaughton,
    "Doughnuts in the Brain: A Toroidal Attractor Theory of the Cognitive Map"

  • 2013 Lecturer: Dr. Dmitri B. Chklovskii,
    "Can connectomics help us understand neural computation? Insights from the fly visual system "

  • 2012 Lecturer: Dr. Eugene M. Izhikevich,
    "Spikes"

  • 2011 Lecturer: Rodney Douglas,
    "Constructive Cortical Computation"

  • 2010 Lecturer: Geoffrey Hinton,
    "Deep learning with multiplicative interactions”

  • 2009 Lecturer: Josh Bongard,
    "Investigations at the Interface of Morphology, Evolution and Cognition”
    "Resilient Machines (Through Continuous Self-Modeling)"

  • 2008 Lecturer: Jeff Hawkins, Founder, Palm, Inc. Handspring, and Numenta,
    "Computing Beyond Turing: How neocortical theory is shaping the future of computing"

  • 2007 Lecturer: Tomaso Poggio, Center for Biological and Computational Learning, Computer Science and Artificial Intelligence Laboratory, McGovern Institute for Brain Research, Massachusetts Institute of Technology,
    "What Should Computer Vision Learn from Neuroscience?"

  • 2006 Lecturer:Harvey Karten, Department of Neurosciences, UCSD
    "Unwiring the Brain: Neuromorphic Engineering of Motion Detection"
    View Movie (Windows Media Player / 100MB): Part1 - Part2 - Part3

  • 2005 Lecturer: Jeffrey L. Elman, UC San Diego,
    "Generalizing beyond our experience: Lessons from neural networks"

  • 2004 Lecturer: Richard Gregory, University of Bristol,
    "A Periodic Table for Perception"

  • 2003 Lecturer: Stephen Wolfram, Wolfram Research, Inc.,
    "A New Kind Of Science"

  • 2002 Lecturer: Pasko Rakic, Yale University,
    "Building the Cerebral Cortex: From Stem Cells to Complex Architecture"

  • 2001 Lecturer: Michael Dickinson, UC Berkeley,
    "How Fruit Flies flap for Flight Forces: Neuro-Mechanics of a Complex Behavior"

  • 2000 Lecturer: Christoph von der Malsburg, Bochum University and University of Southern California,
    "The Learning Problem"

  • 1999 Lecturer: Dana Ballard, University of Rochester,
    "Single-Spike Models of Predictive Coding"

  • 1998 Lecturer: Geoffrey Hinton, University of Toronto,
    "Finding Structure in Ensembles of Images"

  • 1997 Lecturer: Michael Jordan, Massachusetts Institute of Technology,
    "Graphic Models, Neural Networks, and Variational Methods"

  • 1996 Lecturer: Jack Cowan, University of Chicago,
    "Geometric Visual Hallucinations, Migraine Auras, and Visual Illusions: What They Tell Us About Visual Cortex Circuitry"

  • 1995 Lecturer: Geoffrey Hinton, University of Toronto,
    "Neural Networks that Learn by Generating Fantasies"

  • 1994 Lecturer: Stephen Grossberg, Boston University,
    "Neural Networks for Learning, Recognition, and Recall"

  • 1993 Lecturer: James L. McClelland, Carnegie-Mellon University,
    "The Interaction of Nature and Nurture in Development: A Parallel Distributed Processing Perspective"


Resources:


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