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

Production, Purification And Application Of Naringinase From Aspergillussp. Sec. Nigri
Production, Purification And Application Of Naringinase From Aspergillussp. Sec. Nigri
Development of Heterotrophic and Phototrophic Microbial Fuel Cell
Development of Heterotrophic and Phototrophic Microbial Fuel Cell
Novel Anti-MRSA Compounds from Padina tetrastromatica: Identification, Isolation and Mass Spectrometric characterization
Novel Anti-MRSA Compounds from Padina tetrastromatica: Identification, Isolation and Mass Spectrometric characterization
Synergistic Effects of Plants and Bacteriophages in Wastewater treatment
Synergistic Effects of Plants and Bacteriophages in Wastewater treatment
Development of Non-enzymatic Electrochemical Glucose Biosensors and Glucometer
Development of Non-enzymatic Electrochemical Glucose Biosensors and Glucometer
Admissions Apply Now