The Computational Neuroscience lab consists of researchers and students from multi-disciplinary backgrounds who work on modeling various aspects of the brain, especially the Basal Ganglia so as to better understand Parkinson’s disease.

Another motivating force of the lab’s research is to see if the network principles learnt from the study of the brain can be applied to other physiological networks, for example, the cardiovascular network.

Research-

Computational Neuroscience

Modeling Basal Ganglia to understand Parkinson’s disease

Modeling neuro-glio-vascular interactions

Modeling visuomotor dynamics of copying

Modeling the development of topographic maps in the brain

Modelling the neural correlates of spatial navigation

Computational Cardiology

Modeling Cardiac memory

Role of chaotic vasomotion in microvascular dynamics

Computational electrophysiology

Biomedical Engineering

Extracting Gastric Motility information from finger Photoplethysmography (PPG)

Pattern Recognition

Online handwritten Character Recognition in Indian Languages

Projects-

Publish science books at high school level in regional languages (Telugu and Tamil) and donate them to village school libraries

Basal ganglia at large

Network interaction in temporal lobe epilepsy: An integrated approach using invitro studies and computational modeling in Human brain and Animal models

A solution for online handwritten character recognition

Development of an automated Human Face Recognition system

Script and writer independent approach to handwriting recognition

Communication Technology (IDRG Project)

A multimodal interface enabled office suite

Study on learning and memory mechanisms in cardiac activity

Development of online handwriting recognition system for Indian languages (OHWR).

Development of Automatic Defect Recognition (ADR) System for Real Time Radioscopy (RTR) of Hancock Valve Welds

Parkinson’s disease: Development of computational model based on handwriting and speech for prediction and treatment.

Automatic defect recognition algorithm

Language and brain organization in normative multilingualism

A multi-disciplinary, systems-level investigation into neurobiology of Parkinson’s disease

On dynamical conditions for optimal neurovascular interaction in cerabral circulation

Development of online handwriting recognition system for Indian language (OHWR) – Phase II

“Development of simplified conceptual content for self-teaching on advanced engineering topics.”

Contact-

Computational Neuroscience lab
511, Department of Biotechnology
Bhupat and Jyoti Mehta School of Biosciences Building
Indian Institute of Technology Madras
Chennai 600036, India
Ph: (+91)-44-22575125