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Krishna Shenoy
Researcher ORCID ID = 0000-0003-1534-9240

Krishna Shenoy

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Researcher ORCID ID = 0000-0003-1534-9240
Work field
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Male
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Age
57 years
The details (from wikipedia)

Biography


Krishna Shenoy the Hong Seh and Vivian W. M. Lim Professor in the School of Engineering, Stanford University. He is Professor of Electrical Engineering and, by courtesy, of Neurobiology and Bioengineering. He is the Director of the Neural Prosthetics Systems Laboratory (also known as 'Shenoy Group'). Shenoy Co-Directs the Neural Prosthetic Translational Lab along with Professor Jaimie Henderson, MD. Krishna Shenoy is also a member of the Stanford Neuroscience Institute and Stanford Bio-X. He is also a Howard Hughes Medical Institute (HHMI) Investigator.

Krishna Shenoy's research focuses on motor and computational neuroscience, neuroengineering, brain-machine interfaces, neurotechnology, bioengineering.

Education

Shenoy received a bachelor's degree in Electrical and Computer Engineering from the Univ. of California at Irvine in 1990. Shenoy received both his S.M. and Ph.D. in electrical engineering and computer science from MIT (advisor C.G. Fonstad, Jr.) in 1992 and 1995. He was then a postdoctoral fellow in neurobiology at Caltech (advisor R.A. Andersen) from 1995-2001.

Academic career

In 2001, Shenoy joined the Stanford University faculty as an Assistant Professor. He was promoted to Associate Professor in 2008, promoted to Full Professor in 2012, and was appointed as the inaugural Hong Seh and Vivian W. M. Lim Professor (Endowed Chair) in the School of Engineering in 2017. In 2015 Shenoy was appointed as Howard Hughes Medical Institute (HHMI) Investigator.

Research

Shenoy's research focuses on how to "design systems capable of listening in on neurons and interpreting their language".

Shenoy is the director of the Neural Prosthetics Systems Lab at Stanford. This lab conducts neuroscience, neuroengineering and translational research to better understand how the brain controls movement, and to design medical systems to assist people with paralysis.  These medical systems are referred to as brain-machine interfaces (BMIs), brain-computer interfaces (BCIs) and intra-cortical neural prostheses.

Shenoy also co-directs the Neural Prosthetics Translational Laboratory, which conducts research aimed at providing clinically useful neural prostheses for people with paralysis. Their eventual goal is to extract signals recorded from surgically implanted brain electrodes to provide accurate, high-speed, and robust control of computer cursors and other assistive technologies such as robotic arms.

Shenoy serves on the scientific advisory boards of:

  • Neuralink Corp (neuralink.com), consultant.
  • Center for Sensorimotor Neural Engineering (csne-erc.org)
  • Heal Inc., Los Angeles, CA (heal.com)
  • Inscopix, Inc.
  • CTRL-LABS Inc. (ctrl-labs.com)
  • Defense Science Research Council (DSRC), DARPA
  • Defense Science Research Council (DSRC), DARPA
  • Braingate.org, principal investigator
  • MIND-X
  • Simons Collaboration on the Global Brain (SCGB), member

Three participants have received implantsas part of the multi-institutional BrainGate consortium.

Patents

Krishna Shenoy holds 10 U.S. patents

Awards and honors

  • Burroughs Wellcome Fund Career Award in Biomedical Sciences 1999–2004
  • Alfred P. Sloan Research Fellow 2002–2004
  • McKnight Technological Innovations in Neurosciences Award (2007–2009)
  • NIH Director's Pioneer Award (2009–2014)
  • Stanford University Postdoc Mentoring Award (2010)
  • Elected a Fellow of the American Institute for Medical and Biological Engineering (AIMBE) College of Fellows (2015) 

Book Chapters

  • The future of the brain: Essays by the world's leading neuroscientists – "Recording from many neurons simultaneously: From measurement to meaning", (Princeton University Press, 2014).
  • Progress in Brain Research, Vol. 192, chapter 3 – "A dynamical systems view of motor preparation: Implications for neural prosthetic system design", (Elsevier, 2011).
  • Statistical Signal Processing for Neuroscience – "Neural decoding for motor and communication prostheses", (Elsevier, 2010).
The contents of this page are sourced from Wikipedia article. The contents are available under the CC BY-SA 4.0 license.
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