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Computational Neuroscience and Cognitive Modeling

Start Date: Monday, Aug 01,2011

School: School of Biotechnology

Project Incharge:Prof. Shyam Diwakar
Funded by:DST-Cognitive Science Research Initiative NMEICT – MHRD
Computational Neuroscience and Cognitive Modeling

In contrast to other fields in biology, mathematical thinking and methodology have become entrenched in neuroscience since its very beginning, as witnessed by the classical work of Hodgkin and Huxley. One of the biggest open challenges mathematicians and engineers face is to understand the complex computation that takes place in our brain. Among the most interesting parts of the brain, is the ‘little brain’, otherwise known as the cerebellum.

The project aims to understand the neurophysiological function of the brain and its neural circuits through detailed and simple models of neuronal biophysics as the neurobiology research theme. The main focus is to understand the computations in neural circuits via large detailed models, use information theoretic approaches to model and understand neural function and dysfunction and to establish tools to disseminate and understand data from neurophysiology experiments. The lab works on computer simulation and modeling, neuromorphic hardware, bio-inspired robotics as well as on developing virtual labs for education.

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