Computational science for biological modeling of neurons
  • FENS
  • Computational science for biological modeling of neurons

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Location: FENS L035 ,
Time: 14:40, December 21,2011

Computational science for biological modeling of neurons

Abstract: Computational science methods can be applied to the simulation of electrical properties of neuronal membranes. The field of computational neuroscience uses these methods to address questions relevant to the broader neuroscience field, to explain basic nervous mechanisms and study neural disorders. In this talk, I will review my computational neuroscience work on studying parameters and analysis on several different neuronal systems. I will start from a detailed rat globus pallidus neuron model, then switch to a simplified stomatogastric ganglion network model of the invertebrate lobster, and finally present simple models to investigate genetic effects on ion channels in yet even simpler organism, the fruit fly.

Bio: Cengiz Gunay has a quantitative background with a Ph.D. degree in Computer Science from University of Louisiana at Lafayette in Lafayette, Louisiana, USA, in 2003, and an undergraduate in Electronics and Telecommunications Engineering from the Istanbul Technical University of Istanbul, Turkey, in 1998. His PhD research was on theoretical timing and connectivity properties of large-scale brain networks. As a postdoctoral fellow, he has been working in computational neuroscience field at the Biology Department in Emory University, Atlanta, Georgia, USA, on the electrophysiological heterogeneity of the rat globus pallidus neurons and on the homeostatic regulation of cell intrinsic properties based on activity indicators like calcium influx.