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

Diversity Oriented Synthesis Applications to Flavonols, Flavones, Isoflavones and Biflavones
Diversity Oriented Synthesis Applications to Flavonols, Flavones, Isoflavones and Biflavones
Organic Bulk Heterojunction Devices for Photovoltaic Solar Cell Applications
Organic Bulk Heterojunction Devices for Photovoltaic Solar Cell Applications
Modulation of fibrino(geno)lytic proteases from Russell’s viper venom using natural products and analogs
Modulation of fibrino(geno)lytic proteases from Russell’s viper venom using natural products and analogs
Synthesis of Modified Benzophenanthridine – a Preliminary Anti-Cancer Study
Synthesis of Modified Benzophenanthridine – a Preliminary Anti-Cancer Study
Chemistry Virtual Labs
Chemistry Virtual Labs
Admissions Apply Now