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

Computational Chemistry & Molecular Docking Studies
Computational Chemistry & Molecular Docking Studies
Production, Optimization and Characterization of Chitinase Enzyme Produced By Aspergillus Sp
Production, Optimization and Characterization of Chitinase Enzyme Produced By Aspergillus Sp
Combating Candida Albicans by Targeting the Virulence Factors
Combating Candida Albicans by Targeting the Virulence Factors
Virtual Amrita Laboratories in Biotechnology
Virtual Amrita Laboratories in Biotechnology
Use of viral agents, microbial fuel cell and effec tive recycling strategy to improve the economics of human waste disposal
Use of viral agents, microbial fuel cell and effec tive recycling strategy to improve the economics of human waste disposal
Admissions Apply Now