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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