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Introductory Neuroscience and Neuro-Instrumentation

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)

Lecture 60 - Recent Trends: Epilepsy Classification using EEG Data

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Lecture 01 - Cellular (Microscopic) Structure of the Central Nervous System (CNS)

Lecture 02 - Anatomical (Macroscopic) Structure of the CNS

Lecture 03 - Introduction to Cleanroom and IC Fabrication Techniques

Lecture 04 - Introduction to EEG Applications for Hearing Loss

Lecture 05 - Electrophysiological Recordings

Lecture 06 - Neocortical Circuits

Lecture 07 - The Resting Membrane Potential

Lecture 08 - Applications of MEMS Fabrication Techniques

Lecture 09 - Fundamentals of Biopotentials and Applications

Lecture 10 - Fundamentals of EEG and Applications

Lecture 11 - The Action Potential, Part 1

Lecture 12 - The Action Potential, Part 2

Lecture 13 - Axonology, Neuronal Biophysics, Part 1

Lecture 14 - Axonology, Neuronal Biophysics, Part 2

Lecture 15 - Experimental Setup for EEG Recording

Lecture 16 - Introduction to Cleanroom Protocols and Demonstration of Gowning Procedure

Lecture 17 - Electromagnetic Stimulation of the Brain, Part 1

Lecture 18 - Electromagnetic Stimulation of the Brain, Part 2

Lecture 19 - Introduction to Event Related Potentials

Lecture 20 - Introduction to 3D Printing

Lecture 21 - 3D Printing: Applications and Demonstrations

Lecture 22 - Introduction to Event Related Potentials (cont.)

Lecture 23 - Different Event Related Potentials

Lecture 24 - Different Event Related Potentials (cont.)

Lecture 25 - Introduction to Silicon Wafer Processing Techniques

Lecture 26 - Basics of Silicon Dioxide: Oxidation, Characterization and Applications

Lecture 27 - Inverse Problem, EEG Source Localization

Lecture 28 - Inverse Problem, EEG Source Localization (cont.)

Lecture 29 - Introduction to Brain-Computer Interfaces

Lecture 30 - Signal Conditioning Circuit for EEG Bioamplifiers

Lecture 31 - Basics of BCI Experimentation: Introduction to BCI Applications

Lecture 32 - Different Brain-Computer Interfaces

Lecture 33 - Introduction to EEGLAB, ERPLAB and AEP Demonstration

Lecture 34 - Introduction to EEGLAB, ERPLAB and AEP Demonstration (cont.)

Lecture 35 - Introduction to Photolithography

Lecture 36 - Basics of BCI Experimentation: Stimuli Generation and Insertion

Lecture 37 - MMN Demonstration with EEGLAB and ERPLAB, Part 1

Lecture 38 - MMN Demonstration with EEGLAB and ERPLAB, Part 2

Lecture 39 - Introduction to Photolithography (cont.)

Lecture 40 - Basics of Instrumentation Amplifier and Online Simulation

Lecture 41 - Basics of BCI Experimentation: Experimental Setup and Biopotential Acquisition

Lecture 42 - P300 Demonstration with EEGLAB/ERPLAB, Part 1

Lecture 43 - P300 Demonstration with EEGLAB/ERPLAB, Part 2

Lecture 44 - Wavelet Analysis with VEP

Lecture 45 - Details of Lithography, E-beam Lithography and Mask Aligner

Lecture 46 - Basics of BCI Experimentation: Signal Acquisition using MATLab (EEGLAB)

Lecture 47 - Wavelet Analysis with VEP (cont.)

Lecture 48 - Demonstration: Resting Membrane Potential

Lecture 49 - Demonstration: Membrane Time Constant

Lecture 50 - Photoresist (SU-8) and Soft Lithography

Lecture 51 - Physical Vapour Deposition: Thermal Evaporation

Lecture 52 - Introduction to Epilepsy and Classification

Lecture 53 - Epileptogenesis

Lecture 54 - Demonstration: Membrane Length Constant

Lecture 55 - Demonstration: Action Potential

Lecture 56 - Demonstration: Voltage Clamp

Lecture 57 - Demonstration: Synaptic Potentials and Current

Lecture 58 - Physical Vapour Deposition: E-beam Evaporation

Lecture 59 - Physical Vapour Deposition: Sputtering

Lecture 60 - Recent Trends: Epilepsy Classification using EEG Data

Lecture 61 - Demonstration: Wireless EEG with Dry Electrodes

Lecture 62 - Basics of EEG, ERP and Acquisition

Lecture 63 - Photolithography with Example

Lecture 64 - Stress Tissue Analysis using COMSOL Multiphysics

Lecture 65 - Recent Trends: Microelectrode Arrays and Deep Brain Stimulation