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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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
Miller JA, Kenyon GT. (2007) Extracting number-selective responses from coherent oscillations in a computer model Neural Computation. 19: 1766-1797
Miller JA, Denning KS, George JS, et al. (2006) A high frequency resonance in the responses of retinal ganglion cells to rapidly modulated stimuli: a computer model. Visual Neuroscience. 23: 779-94
Stephens GJ, Neuenschwander S, George JS, et al. (2006) See globally, spike locally: oscillations in a retinal model encode large visual features. Biological Cybernetics. 95: 327-48
Galbraith JM, Kenyon GT, Ziolkowski RW. (2005) Time-to-collision estimation from motion based on primate visual processing Ieee Transactions On Pattern Analysis and Machine Intelligence. 27: 1279-1291
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