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

Molecular Mechanisms in Impaired Wound-Healing
Molecular Mechanisms in Impaired Wound-Healing
Isolation and Characterization of Host Binding Proteins from Bacillus Clausii and Staphylococcus Aureus Using Mass Spectrometry-a Proteomic Approach
Isolation and Characterization of Host Binding Proteins from Bacillus Clausii and Staphylococcus Aureus Using Mass Spectrometry-a Proteomic Approach
C. elegans as a Model to Develop Anti-helmintic Strategies in Solid Waste Management
C. elegans as a Model to Develop Anti-helmintic Strategies in Solid Waste Management
Plant Growth Promoting Endophytic Bacteria from Mangrove Plants in South West Coast of Kerala
Plant Growth Promoting Endophytic Bacteria from Mangrove Plants in South West Coast of Kerala
Expression and refolding of Recombinant Staphylococcal Amidases in E. Coli
Expression and refolding of Recombinant Staphylococcal Amidases in E. Coli
Admissions Apply Now