Back close

Modelling the cerebellar information code in large-scale realistic circuits – Towards pharmacological predictions and robotic abstractions

Start Date: Wednesday, Jul 01,2015

School: School of Biotechnology

Project Incharge:Dr. Shyam Diwakar
Funded by:DST
Modelling the cerebellar information code in large-scale realistic circuits – Towards pharmacological predictions and robotic abstractions

To understand neural circuit computations a different approach is needed: elaborate realistic spiking neural networks of the rat cerebellum and use them, together with the theoretical basis of central network computation. This recognition is the goal of this project. The first goal is to extend the cerebellar models to simulate the ensemble network activity. The second is the implementation in robotic simulators and robots to achieve enhanced motor control capabilities. 

Related Projects

Isolation and identification of endophytes from marine algae
Isolation and identification of endophytes from marine algae
Peptide-Based Anti-Snake Venom Therapy
Peptide-Based Anti-Snake Venom Therapy
Isolation Of Bacteriophages Against Enteric Pathogens From Sewage
Isolation Of Bacteriophages Against Enteric Pathogens From Sewage
Combating Candida Albicans by Targeting the Virulence Factors
Combating Candida Albicans by Targeting the Virulence Factors
Studies on Probiotic Strains from Fermented Foods
Studies on Probiotic Strains from Fermented Foods
Admissions Apply Now