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Michael Ham

Experimental and Computational Neuroscience
CNLS/Unknown

neuroscience

Michael Ham

Office: CNLS 130
Mail Stop: D454
Phone: 1-505-665-6230
Fax: (505) 665-2659

mikeh@lanl.gov
home page

Research highlight
  • Please see my CV for a list of my publications, talks, ect.
 Educational Background/Employment:
  • B.A. (2003) Physics, University of North Texas
  • Ph.D. (2008) Physics, University of North Texas

Research Interests:

    Complex systems, social networks, artificial intelligence, the development of functional network structures and connectivity patterns in living and artificial networks, creating meaningful interaction with neural networks using electrical stimulation, developing learning algorithms, data analysis, Bayesian analysis, and information theory.

Selected Recent Publications:

  1. Ham M. I., Rodriguez M. A. A Boundary Approximation Algorithm for Distributed Sensor Networks. Submitted to Sensors ArXiv.org.
  2. Ham M. I., Gintautas V., Rodriguez M. A., Bennett R. A., Santa Maria C. L., Bettencourt L. M. A. Density-dependence of functional development in spiking cortical networks grown in vitro. Submitted to J. Comp. Neurosci. ArXiv.org
  3. Ham M. I., Bettencourt L. M. A., Gross G. W., McDaniel F. D. Spontaneous coordinated activity in cultured networks: Analysis of multiple ignition sites, primary circuits and burst phase delay distributions. J. Comp. Neurosci., 2007.
  4. Bettencourt, L. M. A., Gintautas, V., and Ham M. I. Identification of functional information subgraphs in complex networks. Phys. Rev. Lett., 100, 238701, 2008. ArXiv.org
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