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

Photo switchable Azobenzene Conjugated Matrices for Affinity Chromatography: Synthesis, Characterization and Studies
Photo switchable Azobenzene Conjugated Matrices for Affinity Chromatography: Synthesis, Characterization and Studies
Bioapproach: Synthesis of Silver Nanoparticles from Mangrove Endophytes
Bioapproach: Synthesis of Silver Nanoparticles from Mangrove Endophytes
Identification of Endophytes from Marine Algae by 16S rRNA sequencing
Identification of Endophytes from Marine Algae by 16S rRNA sequencing
Purification of Fibronectin Using Gelatin-Polymer Conjugates
Purification of Fibronectin Using Gelatin-Polymer Conjugates
Development and Fabrication of non-enzymatic Electrochemical Glucose Biosensor and Fabrication of Glucometer
Development and Fabrication of non-enzymatic Electrochemical Glucose Biosensor and Fabrication of Glucometer
Admissions Apply Now