[Comp-neuro] Theoretical and Computational Neuroscience Track at UT in Houston

Harel Shouval harel.shouval at uth.tmc.edu
Tue Nov 3 20:01:56 CET 2009


Theoretical and Computational Track at the Neuroscience Program,
The University of Texas Health Science Center in Houston
http://Neurograd.org

The mammalian brain is an exceptionally complex organ that poses  
unique challenges to scientific study. Although the field of  
neuroscience is multidisciplinary, it is seldom interdisciplinary  
because it is difficult for individuals to integrate information  
across different levels of analysis (e.g. from behavioral to  
molecular). However, a true understanding of the brain will ultimately  
require such an interdisciplinary approach, and the emerging field of  
Theoretical and Computational Neuroscience provides this integrated  
view through the application of mathematical and computational methods  
to the complex questions of brain science.

  The goal of the Theoretical and Computational Neuroscience track is  
to train the next generation of neuroscientists with the broad range  
of computational and analytical skills that are essential to  
understand the organization and function of complex neural systems.  
This specialization is intended for students with backgrounds in  
neuroscience, physics, chemistry, biology, psychology, computer  
science, engineering, and mathematics.

  The Theoretical and Computational Neuroscience track allows  
Neuroscience Program students to concentrate on a focused program of  
rigorous course work in both the theoretical and experimental aspects  
of computational neuroscience. Students are encouraged to pursue  
thesis research that includes both an experimental and a computational  
component. Students often have two mentors, one being a theorist and  
the other an experimentalist.

  The theoretical group at UT graduate school of biological sciences  
(GSBS) is part of a larger group that includes several universities  
and medical schools in the Houston area, the Gulf Coast Consortium in  
theoretical and computational neuroscience (GCC-TCN). Many of the  
courses offered are combined courses across these institutions,  
providing a large community of faculty and students that are  
interested in similar topics. Through the GCC-TCN it is possible to  
obtain additional training grants, as well as have joint mentors from  
other universities and disciplines.

Theoretical & Computational Neuroscience Track Faculty

John H. Byrne, Michael Beauchamp, Wei Chen, Valentin Dragoi, Ruth  
Heidelberger, Yin Liu, David Marshak, Anne Sereno, Harel Shouval, Neal  
Waxham

For more information

The Neuroscience program:  http://Neurograd.org

GCC-TCN: http://Neurotheory.org

Or contact Harel Shouval: harel.shouval at uth.tmc.edu
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