Garrett Kenyon Presents Work at INRC Forum Community
Garrett Kenyon, a Los Alamos National Laboratory scientist and New Mexico Consortium affiliate, gave a presentation to the Intel Neuromorphic Research Community (INRC) Forum Community on Tuesday March 28, 2023. His talk was titled Sparse Coding with Locally Competitive Algorithm on Loihi 2.
The Intel Neuromorphic Research Community includes academic, government, and corporate groups around the world engaged in advancing the science and application of neuromorphic computing using Intel’s Loihi neuromorphic processor.
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Garrett T. Kenyon received the BA degree in physics from the University of California at Santa Cruz in 1984 and the MS and PhD degrees in physics from the University of Washington in Seattle in 1986 and 1990, respectively. He received further postdoctoral training at the Baylor College of Medicine, Division of Neuroscience, and at the University of Texas Medical School, Houston, Department of Neurobiology and Anatomy. He has been a staff member in the Biological and Quantum Physics group at the Los Alamos National Laboratory since 2001. His research interests involve the application of computer simulations and theoretical techniques to the analysis of computation in biological neural networks.