[Comp-neuro] Theoretical and Computational Neuroscience Track at the University of Texas, Houston

Harel Shouval harel.shouval at uth.tmc.edu
Tue Nov 30 18:57:33 CET 2010


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 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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