Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Ham, Michael I."'
Autor:
Ham, Michael I.
Living neural networks are capable of processing information much faster than a modern computer, despite running at significantly lower clock speeds. Therefore, understanding the mechanisms neural networks utilize is an issue of substantial importanc
Externí odkaz:
https://digital.library.unt.edu/ark:/67531/metadc9775/
Publikováno v:
connect to online resource..
Thesis (Ph. D.)--University of North Texas, Dec., 2008.
Title from title page display. Includes bibliographical references.
Title from title page display. Includes bibliographical references.
Externí odkaz:
http://digital.library.unt.edu/permalink/meta-dc-9775
Autor:
Gintautas, Vadas, Ham, Michael I., Kunsberg, Benjamin, Barr, Shawn, Brumby, Steven P., Rasmussen, Craig, George, John S., Nemenman, Ilya, Bettencourt, Luis M. A., Kenyon, Garrett T.
Publikováno v:
PLoS Comput Biol 7(10): 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:
http://arxiv.org/abs/1102.0566
Publikováno v:
Published in 6th International Meeting on Substrate-Integrated Micro Electrode Arrays, 2008.
All higher order central nervous systems exhibit spontaneous neural activity, though the purpose and mechanistic origin of such activity remains poorly understood. We explore the ignition and spread of collective spontaneous electrophysiological burs
Externí odkaz:
http://arxiv.org/abs/1004.2072
Autor:
Ham, Michael I., Rodriguez, Marko A.
Publikováno v:
International Journal of Sensor Networks, 8(1), pp. 41-46, ISSN:1748-1279, 2010
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:
http://arxiv.org/abs/0901.3384
Autor:
Ham, Michael I., Gintautas, Vadas, Rodriguez, Marko A., Bennett, Ryan A., Maria, Cara L. Santa, Bettencourt, Luis M. A.
Publikováno v:
Biological Cybernetics 102(1): 71-80 (2010)
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
Externí odkaz:
http://arxiv.org/abs/0811.3584
Publikováno v:
Phys. Rev. Lett. 100, 238701 (2008)
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:
http://arxiv.org/abs/0712.2218
Publikováno v:
Phys. Rev. E 75, 021915 (2007)
We apply an information theoretic treatment of action potential time series measured with microelectrode arrays to estimate the connectivity of mammalian neuronal cell assemblies grown {\it in vitro}. We infer connectivity between two neurons via the
Externí odkaz:
http://arxiv.org/abs/q-bio/0703018
Publikováno v:
BMC Neuroscience, Vol 10, Iss Suppl 1, p O12 (2009)
Externí odkaz:
https://doaj.org/article/f66bcc80f95443aa8cd7c09b65c4cf54
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