[PDF] Steven P. Brumby, Amy E. Galbraith, Michael Ham, Garrett Kenyon, and John S. George, "Visual Cortex on a Chip: Large-scale, real-time functional models of mammalian visual cortex on a GPGPU", GPU Technology Conference (GTC) 2010, 20-23 Sep 2010, San Jose, California. [back-up slides]
[PDF] Craig Rasmussen, Garrett Kenyon, Matthew Sottile, "Visual language recognition with a feedforward network of spiking neurons", IADIS Multi Conference on Computer Science and Information Systems 2010, 26–31 July 2010, Freiburg, Germany
[PDF] Tsvi Achler, "Towards Understanding the Role of Regulatory Feedback in Simultaneous Pattern Processing", Computational Neuroscience Meeting, 24-30 July 2010, San Antonio, Texas
[PDF] Tsvi Achler, S. Barr, M. Ham, C. Rinaudo, S. Brumby, J.S. George, G. Kenyon, L.M. Bettencourt, "Towards Understanding and Utilizing Simultaneous Pattern Processing", LANL Post-Doc Symposium, 2010.
[PDF] Vadas Gintautas, Benjamin Kunsberg, Michael Ham, Shawn Barr, Steven Zucker, Steven Brumby, Luis M A Bettencourt, Garrett T Kenyon, "An improved model for contour completion in V1 using learned feature correlation statistics", Visual Sciences Society (VSS) 2010 Annual Meeting, 7-12 May 2010, Naples, Florida
[PDF] Garrett Kenyon, Shawn Barr, Michael Ham, Vadas Gintautas, Cristina Rinaudo, Ilya Nemenman, Marian Anghel, Steven Brumby, John George, Luis Bettencourt, "Top-down models explain key aspects of a Speed-of-Sight character recognition task", Visual Sciences Society (VSS) 2010 Annual Meeting, 7-12 May 2010, Naples, Florida
[PDF] Kevin Sanbonmatsu, Ryan Bennett, Shawn Barr, Cristina Renaudo, Michael Ham, Vadas Gintautas, Steven Brumby, John George, Garrett Kenyon, Luis Bettencourt, "Comparing Speed-of-Sight studies using rendered vs.natural images", Visual Sciences Society (VSS) 2010 Annual Meeting, 7-12 May 2010, Naples, Florida
[PDF] Steven Brumby, Luis Bettencourt, Michael Ham, Ryan Bennett, and Garrett Kenyon, "Quantifying the difficulty of object recognition tasks via scaling of accuracy versus training set size", Computational and Systems Neuroscience (COSYNE) 2010, 25-28 Feb 2010, Salt Lake City, Utah
[PDF] Will Landecker, Steven Brumby, Mick Thomure, Cristina Rinauldo, Garrett Kenyon, Luis Bettencourt, and Melanie Mitchell, "Visualizing Classification Decisions of Hierarchical Models of Cortex", Computational and Systems Neuroscience (COSYNE) 2010, 25-28 Feb 2010, Salt Lake City, Utah
L. M. Bettencourt, S. Brumby, V. Gintautas, M. I. Ham, S. Barr, P. Loxley, K. Sanbonmatsu, S. Swaminarayan, J. George, G. Kenyon, I. Nemenman. "Image categorization through large-scale hierarchical models of the primate visual cortex.", Program No. 652.2/Y13. Society for Neuroscience 2009, Oct 17-21, 2009, Chicago, Illinois
[PDF] Steven P. Brumby, Garrett Kenyon, Will Landecker, Craig Rasmussen, Sriram Swaminarayan, and Luis M. A. Bettencourt, Large-scale functional models of visual cortex for remote sensing, 2009 38th IEEE Applied Imagery Pattern Recognition, Vision: Humans, Animals, and Machines, Cosmos Club, 14-16 Oct 2009, Washington DC
Shawn Barr, Vadas Gintautas, Jessica L. Hammon, Michael Ham, Steven Brumby, Garrett T. Kenyon, Luis M. A. Bettencourt, "Preliminary results from the comparison of human visual performance to biologically inspired computer object categorization", Decade of the Mind IV Conference, Albuquerque, NM, January, 2009.
I Nemenman, GD Lewen, W Bialek, RR de Ruyter van Steveninck. Neural Coding of Natural Stimuli: Information at Sub-Millisecond Resolution. PLoS Comput Biol 4(3): e1000025, 2008.
[LINK] LMA Bettencourt, VGintautas, and MI Ham. Identiﬁcation of functional information subgraphs in complex networks. Physical Review Letters 100:238701, 2008.
MI Ham, LMA Bettencourt, GW Gross, FD McDaniel. Spontaneous coordinated activity in cultured networks: Analysis of multiple ignition sites, primary circuits and burst phase delay distributions. J. Comp. Neurosci., 2007.
[LINK] LMA Bettencourt, G Stephens, MI Ham, and GW Gross. Functional structure of cortical neuronal networks grown in vitro. Phys. Rev. E. 75(2):021915, 2007.
I Nemenman, W Bialek, and R de Ruyter van Steveninck. Entropy and information in neural spike trains: Progress on the sampling problem. Phys. Rev. E, 69:056111, 2004.
W Bialek, I Nemenman, and N Tishby. Predictability, complexity, and learning. Neur. Comp., 13:2409-2463, 2001.
I Nemenman. Fluctuation-dissipation theorem and models of learning. Neural Comp., 17(9):2006-2033, 2005.