Garrett T. Kenyon

Affiliations: 
P-21 Biophysics Los Alamos National Laboratory, Los Alamos, NM, United States 
Area:
computational neuroscience
Google:
"Garrett Kenyon"
Mean distance: 106866 (cluster 17)
 
Cross-listing: Computational Biology Tree

Children

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Dan N. Hill research assistant Technical University of Munich
Bartlett D. Moore IV research assistant 2001-2002 LANL
Dylan M Paiton research assistant 2011-2013 LANL
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Publications

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Völgyi B, Kenyon GT, Marshak DW, et al. (2019) Editorial: Encoding Visual Features by Parallel Ganglion Cell Initiated Pathways in the Healthy, Diseased and Artificial Retina. Frontiers in Cellular Neuroscience. 13: 229
Dubey ML, Shultz PF, Kenyon GT. (2016) Learning phase-rich features from streaming auditory images Proceedings of the Ieee Southwest Symposium On Image Analysis and Interpretation. 2016: 73-76
Ji Z, Theiler J, Chartrand R, et al. (2013) Decoupling sparse coding of SIFT descriptors for large-scale visual recognition Proceedings of Spie. 8750
Thomure MD, Mitchell M, Kenyon GT. (2013) On the role of shape prototypes in hierarchical models of vision Proceedings of the International Joint Conference On Neural Networks
Lundquist SY, Paiton DM, Nowers BM, et al. (2013) Biologically inspired distributed sensor networks: Collective signal amplification via ultra-low bandwidth spike-based communication Proceedings of the International Joint Conference On Neural Networks
Landecker W, Thomure MD, Bettencourt LMA, et al. (2013) Interpreting individual classifications of hierarchical networks Proceedings of the 2013 Ieee Symposium On Computational Intelligence and Data Mining, Cidm 2013 - 2013 Ieee Symposium Series On Computational Intelligence, Ssci 2013. 32-38
Schultz PF, Bettencourt LM, Kenyon GT. (2012) A symmetry-breaking generative model of a simple-cell/complex-cell hierarchy Proceedings of the Ieee Southwest Symposium On Image Analysis and Interpretation. 89-92
Paiton DM, Brumby SP, Kenyon GT, et al. (2012) Combining multiple visual processing streams for locating and classifying objects in video Proceedings of the Ieee Southwest Symposium On Image Analysis and Interpretation. 49-52
Gintautas V, Ham MI, Kunsberg B, et al. (2011) Model cortical association fields account for the time course and dependence on target complexity of human contour perception Plos Computational Biology. 7
Brumby SP, Ham MI, Landecker WA, et al. (2011) Visualizing classification of natural video sequences using sparse, hierarchical models of cortex. Nature Precedings. 6: 1-1
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