Advanced Neural Science for Engineers
INTENDED AUDIENCE : Engineering Students, Faculty from Engineering Colleges, Medical Students, Faculty from Medical Colleges
PREREQUISITES : Preferable, but not essential, to have taken the NPTEL Neural Science for Engineers.
INDUSTRIES SUPPORT : MathWorks, Open BCI, LabVIEW
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.
Prof. Vikas V
National Institute Of Mental Health And Neurosciences (NIMHANS)
Dr. Vikas is a Professor of Neurosurgery at NIMHANS, Bangalore. He has been working at NIMHANS for over a decade. He completed his MCh in 2008 from Sree Chitra Tirunal Institute for Medical Sciences & Technology (SCTIMST), Thiruvananthapuram. Following MCh, he has obtained DNB in Neurosurgery and a fellowship in cerebrovascular surgery. Apart from clinical work, he also has a deep interest in Deep tech development. He pursues independent programs on neurosurgical robotics, autonomic neurosurgery, novel imaging techniques and is pursuing a Ph.D. in data sciences at IIIT-B. He has more than 50 peer-reviewed journal articles and conference proceedings in the field of neurosurgery and biomedical engineering. These include comprehensive clinical studies as well as engineering solutions for brain tumor management. He has developed machine learning models based on MR spectroscopy for the classification of gliomas. He has also developed devices for neurosurgical applications and rehabilitation of patients with neurological disorders. He is an expert in intraoperative ultrasound for neurosurgery.
Prof. Hardik Jeetendra Pandya
IISc Bangalore
Dr. Hardik J. Pandya is an assistant professor in the Department of Electronic Systems Engineering, Division of Electrical Sciences, IISc Bangalore where he is developing Advanced Microsystems and Biomedical Devices Facility for Clinical Research and Biomedical and Electronic (10-6-10-9) Engineering Systems Laboratory to carry out cutting-edge research on novel devices to solve unmet problems in biology and medicine. He is recipient of prestigious Early Career Research Award from Science and Engineering Research Board, Government of India as well as a start-up grant of 228 Lacs from IISc. He has taught Design for Analog Circuits, Analog Integrated Circuits, VLSI technology, and Semiconductor Devices to undergraduate and graduate students from Electronic Engineering, Instrumentation Engineering, and Applied Physics. He seek to understand and exploit novel ways of fabricating microengineering devices using glass, silicon, polymers and integrate with unusual classes of micro/nanomaterials. His research interests include integrating biology/medicine with micro- and nanotechnology to develop innovative tools to solve unmet clinical problems. His current research focuses on flexible sensors for smart catheters, microsensors, microfluidic devices, and microelectromechanical systems, all lately with an emphasis on cancer diagnosis, therapeutics, e-nose, and biomedical device technologies. Before joining IISc, he worked as a postdoctoral scientist in the Department of Mechanical Engineering, Maryland Robotics Center, University of Maryland, College Park and in the Department of Medicine, Brigham and Women’s Hospital–Harvard Medical School affiliated with Harvard-MIT Health Science and Technology. His work has resulted in several patents and publications. His work has been highlighted as “Breaking Research News” by The Physicians Committee for Responsible Medicine and has been featured on IEEE Transactions on Biomedical Engineering July 2016 issue cover image as well as IEEE TBME July 2016 feature article for the website and monthly highlights. The work on portable cancer diagnosis tool was also featured on Science Translational Medicine as an Editorial Choice, Breast Cancer Diagnosis, March 2016 and has been highlighted on CapeRay blog as “Biochips and Diagnostic tools” in April 2016. His work has been published in high-quality journals including Lab on a Chip, IEEE Transactions on Biomedical Engineering, IEEE Journal of Microelectromechanical Systems, Sensors and Actuators B, Biosensors and Bioelectronics, Nanoscience and Nanotechnology Letters, Sensors and Transducers, and Journal of Micromechanics and Micromachining.
Course layout
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.
Books and references
1. Principles of neural science Kandel, Eric R., et al., eds. . Vol. 4. New York: McGraw-hill, 2000.
2. Introduction to microfabrication Franssila, Sami. . John Wiley & Sons, 2010.
3. The Oxford Handbook of Event-Related Potential Components.
4. The Art of Electronics, Horowitz & Hill, 3rd Edition.
