Vikash GIlja (email: {last name}@{university domain name})

Research Associate

Neural Prosthetics Translational Laboratory

Stanford Institute for Neuro-Innovation and Translational Neuroscience

Stanford University, Stanford, CA

Research Interests

  1. Working with a diverse set of electrophysiological and imaging methods in humans, I hope to advance the engineering science of brain machine interfaces (BMIs) through basic research and the development of clinical applications.


Recent Journal Publications

  1. Chestek CA, Gilja V, Blabe CH, Foster BL, Shenoy KV, Parvizi J, Henderson JM (2012) Hand posture classification using electrocorticography signals in the gamma band over human sensorimotor brain areas. Journal of Neural Engineering. 10:02602 (11pp).

  2. Gilja V*, Nuyujukian P*, Chestek CA, Cunningham JP, Yu BM, Fan JM, Churchland MM, Kaufman MT, Kao JC, Ryu SI, Shenoy KV (2012) A High-Performance Neural Prosthesis Enabled by Control Algorithm Design. Nature Neuroscience. 15:1752-1757.

  3. Chestek CA, Gilja V, Nuyujukian P, Foster JD, Fan JM, Kaufman MT, Churchland MM, Rivera-Alvidrez Z, Cunningham JP, Ryu SI, Shenoy KV (2011) Long-term stability of neural prosthetic control signals from silicon cortical arrays in rhesus macaque motor cortex. Journal of Neural Engineering. 8:045005.

  4. Gilja V, Chestek CA, Diester I, Henderson JM, Deisseroth K, Shenoy KV (2011) Challenges and opportunities for next-generation intra-cortically based neural prostheses. IEEE Transactions on Biomedical Engineering. 58:1891-1899.

  5. Cunningham JP, Nuyujukian P, Gilja V, Chestek CA, Ryu SI, Shenoy KV (2011) A closed-loop human simulator for investigating the role of feedback-control in brain-machine interfaces. Journal of Neurophysiology. 105:1932-1949.


Recent Conference Publications

  1. Gilja V*, Nuyujukian P*, Chestek CA, Cunningham JP, Yu BM, Fan JM, Churchland MM, Kaufman MT, Ryu SI, Shenoy KV (2012) A brain machine interface control algorithm designed from a feedback control perspective. Proc. of the 34th Annual International Conference IEEE EMBS. San Diego, CA: 1318-1322.

  2. Nuyujukian P*, Fan JM*, Gilja V, Kalanithi PS, Chestek CA, Shenoy KV (2011) Monkey models for brain-machine interfaces: The need for maintaining diversity. Proc. of the 33rd Annual International Conference IEEE EMBS. Boston, MA: 1301-1305.

  3. Dethier J, Gilja V, Nuyujukian P, Elassaad S, Shenoy KV, Boahen K (2011) Spiking neural network decoder for brain- machine interfaces Proc. of the 5th International IEEE EMBS Conference on Neural Engineering. Cancun, Mexico: 396- 399.


Education

  1. Stanford University, Stanford, CA

  2. Ph.D. and M.S. in Computer Science, 2004-2010
    Thesis: Towards Clinically Viable Neural Prosthetic Systems

  3. Advisor: Krishna V. Shenoy, Neural Prosthetics Systems Laboratory


  1. MIT, Cambridge, MA

  2. M.Eng. and S.B. in Electrical Engineering and Computer Science, 1999-2004
    S.B. in Brain and Cognitive Sciences, 1999-2003


  1. Manhasset High School, Manhasset, NY

  2. 1995-1999