Krishna Shenoy
Academic Appointments
- Associate Professor, Electrical Engineering
- Associate Professor (By courtesy), Neurobiology
Key Documents
Contact Information
- Academic Offices
Personal Information Email
Professional Overview
Administrative Appointments
- Leadership Council, Bio-X (2011 - present)
- Executive Committee, SINTN (2009 - present)
- Co-Director, Neural Prosthetics Translational Laboratory (2009 - present)
- Director, Neural Prosthetic Systems Laboratory (2001 - present)
Honors and Awards
- Distinguished Alumnus Award, The Henry Samueli School of Engineering, University of California at Irvine (2013)
- Postdoc Mentoring Award, Stanford University (2010)
- NIH Director's Pioneer Award, National Institutes of Health (2009)
- Charles Lee Powell Faculty Scholar, School of Engineering, Stanford University (2008)
- Technological Innovations in Neurosciences Award, McKnight Foundation (2007)
- Research Fellow, Alfred P. Sloan Foundation (2002)
Professional Education
| Professor: | Stanford University, Departments of Electrical Engineering, Bioengineering (affiliate) & Neurobiology (courtesy). BioX, Neurosciences Graduate Program, and Stanford Institute for Neuro-Innovation and Translational Neuroscience. (2012) |
| Associate Professor: | Stanford University, Dept. of Neurobiology (courtesy) (2011) |
| Assocaiate Professor: | Stanford University, Dept. of Bioengineering (Affiliate) (2008) |
| Associate Professor: | Stanford University, Dept. of EE & Neurosciences Program (2008) |
| Assistant Professor: | Stanford University, EE & Neurosciences Program (2001) |
| Senior Postdoc: | Caltech, Neurobiology (1998) |
Graduate & Fellowship Program Affiliations
Scientific Focus
Current Research Interests
Prof. Shenoy heads the Neural Prosthetic Systems Lab (NPSL) at Stanford University (www.stanford.edu/~shenoy/Group.htm) where his group conducts neuroscience and neuroengineering research to better understand how the brain controls movement, and to design medical systems to assist those with movement disabilities. His neuroscience (systems and cognitive neuroscience) research investigates the neural basis of movement preparation and generation using a combination of electrophysiological (single-electrode and chronic electrode-array recordings in rhesus monkeys), behavioral, computational and theoretical techniques. His neuroengineering (electrical, bio, and biomedical engineering) research investigates the design of high-performance neural prosthetic systems, which are also known as brain-computer interfaces (BCIs) and brain-machine interfaces (BMIs). These systems translate neural activity from the brain into control signals for prosthetic devices, which assist disabled patients by restoring lost function. This work includes statistical signal processing, machine learning, low-power circuits, and real-time system modeling and implementation. Prof. Shenoy also Co-Directs (along with Co-Director Prof. Jaimie Henderson), Neural Prosthetics Translational Laboratory (NPTL), part of Stanford Institute for Neuro-Innovation and Translational Neuroscience (SINTN) and Stanford's Bio-X / NeuroVentures program
Publications
- Cortical Control of Arm Movements: A Dynamical Systems Perspective. Annu Rev Neurosci. 2013
- Design and validation of a real-time spiking-neural-network decoder for brain-machine interfaces. J Neural Eng. 2013; (3): 036008
- Hand posture classification using electrocorticography signals in the gamma band over human sensorimotor brain areas. J Neural Eng. 2013; (2): 026002
- A high-performance neural prosthesis enabled by control algorithm design. Nat Neurosci. 2012; (12): 1752-7
- A recurrent neural network for closed-loop intracortical brain-machine interface decoders. J Neural Eng. 2012; (2): 026027
- Brain enabled by next-generation neurotechnology: using multiscale and multimodal models. IEEE Pulse. 2012; (2): 31-6
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