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

Label – Free Quantitative Proteomics Analysis to Study the Effect of Triclosan on Delta-Haemolysin: A Haemolytic Factor of Methicillin – Resistant Staphylococcus Aureus
Label – Free Quantitative Proteomics Analysis to Study the Effect of Triclosan on Delta-Haemolysin: A Haemolytic Factor of Methicillin – Resistant Staphylococcus Aureus
Development of peptide inhibitors against functional components of snake venom; a new approach
Development of peptide inhibitors against functional components of snake venom; a new approach
Development of Heterotrophic and Phototrophic Microbial Fuel Cell
Development of Heterotrophic and Phototrophic Microbial Fuel Cell
Construction of a Prototype of Microbial Fuel Cell
Construction of a Prototype of Microbial Fuel Cell
Studies on Biofilm Inhibition and Antibacterial Properties of Selected Plant Extracts Against S.mutans, a Dental Plaque Pathogen
Studies on Biofilm Inhibition and Antibacterial Properties of Selected Plant Extracts Against S.mutans, a Dental Plaque Pathogen
Admissions Apply Now