Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Michael I. Ham"'
Autor:
Vadas Gintautas, Michael I. Ham, Benjamin Kunsberg, Shawn Barr, Steven P. Brumby, Craig Rasmussen, John S. George, Ilya Nemenman, Luís M. A. Bettencourt, Garrett T. Kenyon
Publikováno v:
PLoS Computational Biology, Vol 7, Iss 10 (2011)
Externí odkaz:
https://doaj.org/article/ace5945628a142cb8db6b1aa1a4720a6
Autor:
Vadas Gintautas, Michael I Ham, Benjamin Kunsberg, Shawn Barr, Steven P Brumby, Craig Rasmussen, John S George, Ilya Nemenman, Luís M A Bettencourt, Garrett T Kenyon
Publikováno v:
PLoS Computational Biology, Vol 7, Iss 10, p e1002162 (2011)
Can lateral connectivity in the primary visual cortex account for the time dependence and intrinsic task difficulty of human contour detection? To answer this question, we created a synthetic image set that prevents sole reliance on either low-level
Externí odkaz:
https://doaj.org/article/b82e91c5e6e84ae7b38326c1df912bef
Autor:
Michael I. Ham, Vadas Gintautas, Garrett T. Kenyon, Ilya Nemenman, Craig E. Rasmussen, Shawn Barr, Steven P. Brumby, Luís M. A. Bettencourt, John S. George, Benjamin Kunsberg
Publikováno v:
PLoS Computational Biology, Vol 7, Iss 10, p e1002162 (2011)
PLoS Computational Biology
PLoS Computational Biology
Can lateral connectivity in the primary visual cortex account for the time dependence and intrinsic task difficulty of human contour detection? To answer this question, we created a synthetic image set that prevents sole reliance on either low-level
Publikováno v:
Nature Precedings.
Recent work on hierarchical models of visual cortex has reported state-of-the-art accuracy on whole-scene labeling using natural still imagery. This raises the question of whether the reported accuracy may be due to the sophisticated, non-biological
Publikováno v:
BMC Neuroscience, Vol 10, Iss Suppl 1, p O12 (2009)
This paper accompanies an oral presentation on the identification of functional information subgraphs in cultured neural networks.
Autor:
Ryan A. Bennett, Michael I. Ham, Vadas Gintautas, Marko A. Rodriguez, Luís M. A. Bettencourt, Cara L. Santa Maria
Publikováno v:
Biological cybernetics. 102(1)
During development, the mammalian brain differentiates into specialized regions with distinct functional abilities. While many factors contribute to functional specialization, we explore the effect of neuronal density on the development of neuronal i
Autor:
Michael I. Ham, Marko A. Rodriguez
We present an algorithm for boundary approximation in locally-linked sensor networks that communicate with a remote monitoring station. Delaunay triangulations and Voronoi diagrams are used to generate a sensor communication network and define bounda
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::479a26f1f297e2cd2e9195d509a8f171
Publikováno v:
Journal of computational neuroscience. 24(3)
All higher order central nervous systems exhibit spontaneous neural activity, though the purpose and mechanistic origin of such activity remains poorly understood. We quantitatively analyzed the ignition and spread of collective spontaneous electroph
We present a general information theoretic approach for identifying functional subgraphs in complex networks where the dynamics of each node are observable. We show that the uncertainty in the state of each node can be expressed as a sum of informati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a7459a64cb78327d3f952d6fc58ddfe