ABOUT THE COURSE: The course is a follow-up course of the NPTEL – Neural Science for Engineers. The main objective is to enable students with neural engineering aspects of recent trends in neuroscience, including rodent experiments, electronic system design and associated signal analyses.INTENDED AUDIENCE: Engineering Students, Faculty from Engineering Colleges, Medical Students, Faculty from Medical CollegesPREREQUISITES: Preferable, but not essential, to have taken the NPTEL Neural Science for Engineers.INDUSTRY SUPPORT: MathWorks, Open BCI, LabVIEW
Advanced Neural Science for Engineers
NPTEL , National Institute Of Mental Health & Neuro Sciences (NIMHANS) and Indian Institute of Science Bangalore via Swayam
This course may be unavailable.
Overview
Syllabus
Week 1: Computational Neurobiology I: Introduction, basics
Week 2: Compuational Neurobiology II: Modeling cell functions and local networks
Week 3: Computational Neurobiology III: Complex networks and specific cases
Week 4: Compuational Neurobiology IV: Large scale networks, optimisation
Week 5: Microfabrication for neuroscience Applications: Microelectrode Arrays, Fabrication: Thin Film Deposition, Sputtering, E-beam Evaporation.
Week 6: Need for Invasive Techniques to acquire neurological signals, Types of implants, and signal conditioning systems.
Week 7: MEA Characterization, MEA-based neuro potential acquisition system design and applications.
Week 8: Flexible MEA Fabrication, Neurosurgery Demonstration of rodent experiments and relevant signal analysis
Week 9: Deep Brain Stimulation: Need, Experimental Protocol, System Design, Demo, and Application
Week 10: System Design using 3D Printing and COMSOL Simulation for neural engineering system design
Week 11: Non-Invasive BCI, Recent Trends in Brain-Computer Interfaces and applications
Week 12: Epilepsy basics, Epilepsy EEG Test protocols, Approaches for Seizure detection for epilepsy type identification.
Taught by
Prof. Vikas V , Prof. Hardik Jeetendra Pandya
