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 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 |
| References |
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.
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