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Seminar on Compact Dendrite Modeling and Optimal Therapeutic Treatments of Epilepsy via Mathematical Modeling and Computer Simulation

February 17, 2012 @ 3:00 pm - 4:00 pm

 

Room 1035 Emerging Technology Building (ETB)

ABSTRACT

Mathematical modeling and computer simulation has been playing an important role in the field of neuroscience. In this talk, I present our recent works to address neuroscience problems in both cellular and network levels. In the cellular level, we present an efficient model order reduction approach to reduce the complexity of large dendrites by orders of magnitude. The resulting reduced dendrite models match the impedances of the full model within the frequency range of biological signals and reproduce the original action potential output waveforms. In the network level, by taking an integrative view of the underlying mechanisms, we demonstrate that epileptic seizures can be generated by many different combinations of synaptic strengths and intrinsic membrane properties. This integrative view has important medical implications: the specific state of a patient characterized by a set of biophysical characteristics ultimately determines the optimal therapeutic treatment. Our results underscore the need for personalized medicine and demonstrate that computer modeling and simulation may play an important role in assisting the clinicians in selecting the optimal treatment on an individual basis.

Bio: Boyuan Yan received the B.S. degree in electrical engineering from Dalian University of Technology, Dalian, China in 2004, the M.S. degree in electrical engineering, the M.S. degree in mathematics, and the Ph.D. degree in electrical engineering, all from The University of California, Riverside, California, in 2007, 2008, and 2009, respectively.

He is currently a Postdoctoral Research Associate in the Department of Electrical and Computer Engineering at Texas A&M University, College Station, Texas.  His research interests include modeling and simulation of large-scale circuits and dynamical systems, computer-aided design of very large-scale integrated circuits, computational neuroscience, and biomedical engineering. His current research involves biologically realistic modeling of human brain and computer-aided diagnosis and therapy of brain disorders.

 

 

Details

Date:
February 17, 2012
Time:
3:00 pm - 4:00 pm