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September 25, 2023

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Description

Introductory Neuroscience and Neuro-Instrumentation. Instructor: Prof. Mahesh Jayachandra, Department of Center For Biosystems Science and Engineering, IISc Bangalore.

This course is a systems, design-oriented course aimed to provide exposure to Neuroscience and its importance in the real world. Neuroscience and Neuro-Instrumentation are popular research areas and this course is an introduction to both. The emphasis is on Electro-physiology with an introduction to standard Biological Stimulators and signal conditioning circuits. Expected course outcomes: Introduction to Electroencephalogram (EEG) and Event-Related Potentials (ERPs). Introduction to Brain-Computer Interface (BCI) and its applications. Applications using ERPs to screen for disorders of Cognition. Introduction to ERP stimulators and signal conditioning circuits. Demonstration of EEGLab and ERPLab for EEG and ERP signal processing. (from nptel.ac.in)

Course Curriculum

  • Lecture 01 – Cellular (Microscopic) Structure of the Central Nervous System (CNS) Unlimited
  • Lecture 02 – Anatomical (Macroscopic) Structure of the CNS Unlimited
  • Lecture 03 – Introduction to Cleanroom and IC Fabrication Techniques Unlimited
  • Lecture 05 – Electrophysiological Recordings Unlimited
  • Lecture 06 – Neocortical Circuits Unlimited
  • Lecture 07 – The Resting Membrane Potential Unlimited
  • Lecture 08 – Applications of MEMS Fabrication Techniques Unlimited
  • Lecture 09 – Fundamentals of Biopotentials and Applications Unlimited
  • Lecture 10 – Fundamentals of EEG and Applications Unlimited
  • Lecture 11 – The Action Potential, Part 1 Unlimited
  • Lecture 12 – The Action Potential, Part 2 Unlimited
  • Lecture 13 – Axonology, Neuronal Biophysics, Part 1 Unlimited
  • Lecture 14 – Axonology, Neuronal Biophysics, Part 2 Unlimited
  • Lecture 15 – Experimental Setup for EEG Recording Unlimited
  • Lecture 16 – Introduction to Cleanroom Protocols and Demonstration of Gowning Procedure Unlimited
  • Lecture 17 – Electromagnetic Stimulation of the Brain, Part 1 Unlimited
  • Lecture 18 – Electromagnetic Stimulation of the Brain, Part 2 Unlimited
  • Lecture 19 – Introduction to Event Related Potentials Unlimited
  • Lecture 20 – Introduction to 3D Printing Unlimited
  • Lecture 21 – 3D Printing: Applications and Demonstrations Unlimited
  • Lecture 22 – Introduction to Event Related Potentials (cont.) Unlimited
  • Lecture 23 – Different Event Related Potentials Unlimited
  • Lecture 24 – Different Event Related Potentials (cont.) Unlimited
  • Lecture 25 – Introduction to Silicon Wafer Processing Techniques Unlimited
  • Lecture 26 – Basics of Silicon Dioxide: Oxidation, Characterization and Applications Unlimited
  • Lecture 27 – Inverse Problem, EEG Source Localization Unlimited
  • Lecture 28 – Inverse Problem, EEG Source Localization (cont.) Unlimited
  • Lecture 29 – Introduction to Brain-Computer Interfaces Unlimited
  • Lecture 30 – Signal Conditioning Circuit for EEG Bioamplifiers Unlimited
  • Lecture 31 – Basics of BCI Experimentation: Introduction to BCI Applications Unlimited
  • Lecture 32 – Different Brain-Computer Interfaces Unlimited
  • Lecture 33 – Introduction to EEGLAB, ERPLAB and AEP Demonstration Unlimited
  • Lecture 34 – Introduction to EEGLAB, ERPLAB and AEP Demonstration (cont.) Unlimited
  • Lecture 35 – Introduction to Photolithography Unlimited
  • Lecture 36 – Basics of BCI Experimentation: Stimuli Generation and Insertion Unlimited
  • Lecture 37 – MMN Demonstration with EEGLAB and ERPLAB, Part 1 Unlimited
  • Lecture 38 – MMN Demonstration with EEGLAB and ERPLAB, Part 2 Unlimited
  • Lecture 39 – Introduction to Photolithography (cont.) Unlimited
  • Lecture 40 – Basics of Instrumentation Amplifier and Online Simulation Unlimited
  • Lecture 41 – Basics of BCI Experimentation: Experimental Setup and Biopotential Acquisition Unlimited
  • Lecture 42 – P300 Demonstration with EEGLAB/ERPLAB, Part 1 Unlimited
  • Lecture 43 – P300 Demonstration with EEGLAB/ERPLAB, Part 2 Unlimited
  • Lecture 44 – Wavelet Analysis with VEP Unlimited
  • Lecture 45 – Details of Lithography, E-beam Lithography and Mask Aligner Unlimited
  • Lecture 46 – Basics of BCI Experimentation: Signal Acquisition using MATLab (EEGLAB) Unlimited
  • Lecture 47 – Wavelet Analysis with VEP (cont.) Unlimited
  • Lecture 48 – Demonstration: Resting Membrane Potential Unlimited
  • Lecture 49 – Demonstration: Membrane Time Constant Unlimited
  • Lecture 50 – Photoresist (SU-8) and Soft Lithography Unlimited
  • Lecture 51 – Physical Vapour Deposition: Thermal Evaporation Unlimited
  • Lecture 52 – Introduction to Epilepsy and Classification Unlimited
  • Lecture 53 – Epileptogenesis Unlimited
  • Lecture 54 – Demonstration: Membrane Length Constant Unlimited
  • Lecture 55 – Demonstration: Action Potential Unlimited
  • Lecture 56 – Demonstration: Voltage Clamp Unlimited
  • Lecture 57 – Demonstration: Synaptic Potentials and Current Unlimited
  • Lecture 58 – Physical Vapour Deposition: E-beam Evaporation Unlimited
  • Lecture 59 – Physical Vapour Deposition: Sputtering Unlimited
  • Lecture 60 – Recent Trends: Epilepsy Classification using EEG Data Unlimited
  • Lecture 61 – Demonstration: Wireless EEG with Dry Electrodes Unlimited
  • Lecture 62 – Basics of EEG, ERP and Acquisition Unlimited
  • Lecture 63 – Photolithography with Example Unlimited
  • Lecture 64 – Stress Tissue Analysis using COMSOL Multiphysics Unlimited
  • Lecture 65 – Recent Trends: Microelectrode Arrays and Deep Brain Stimulation Unlimited

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