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

In vitro assay of theranostic agents and their targeted delivery
In vitro assay of theranostic agents and their targeted delivery
Synthesis of Intermediate Analogues for Biologically Active Molecules
Synthesis of Intermediate Analogues for Biologically Active Molecules
Mass spectrometry based proteomic characterization of carbonylated proteins as indicators of oxidative stress
Mass spectrometry based proteomic characterization of carbonylated proteins as indicators of oxidative stress
Isolation and Characterization of Primary Tumor Cells
Isolation and Characterization of Primary Tumor Cells
Development of chromatographic separation and detection techniques for natural products, as plant extracts, peptides, proteins and carbohydrates
Development of chromatographic separation and detection techniques for natural products, as plant extracts, peptides, proteins and carbohydrates
Admissions Apply Now