NOC:Introductory Neuroscience and Neuro-Instrumentation (USB)

₹950.00
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Media Storage Type : 32 GB USB Stick

NPTEL Subject Matter Expert : Prof. Mahesh Jayachandra

NPTEL Co-ordinating Institute : IISc Bangalore

NPTEL Lecture Count : 65

NPTEL Course Size : 6.2 GB

NPTEL PDF Text Transcription : Available and Included

NPTEL Subtitle Transcription : Available and Included (SRT)


Lecture Titles:

Lecture 1 - Cellular (Microscopic) Structure of the Central Nervous System (CNS)
Lecture 2 - Anatomical (Macroscopic) structure of the CNS
Lecture 3 - Introduction to Cleanroom and IC Fabrication Techniques
Lecture 4 - Introduction to EEG applications for Hearing Loss
Lecture 5 - Electrophysiological Recordings
Lecture 6 - Neocortical Circuits
Lecture 7 - The resting Membrane Potential
Lecture 8 - Applications of MEMS Fabrication Technologies
Lecture 9 - Fundamentals of biopotentials and applications
Lecture 10 - Fundamentals of EEG and applications
Lecture 11 - The Action Potential (1)
Lecture 12 - The Action Potential (2)
Lecture 13 - Axonology, Neuronal Biophysics (1)
Lecture 14 - Axonology, Neuronal Biophysics (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 (1)
Lecture 18 - Electromagnetic Stimulation of the Brain (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 (2)
Lecture 23 - Different Event Related Potentials (1)
Lecture 24 - Different Event Related Potentials (2)
Lecture 25 - Introduction to Silicone Wafer Processing Techniques
Lecture 26 - Basics of Silicone Dioxide: Oxidation, Characterization and Applications
Lecture 27 - Inverse Problem, EEG source localization (1)
Lecture 28 - Inverse Problem, EEG source localization (2)
Lecture 29 - Introduction to Brain Computer Interfaces
Lecture 30 - Signal Conditioning Circuit for EEG Bioamplifiers
Lecture 31 - Basics of BCI Experimentation: Introdcution BCI Applications
Lecture 32 - Different Brain Computer Interfaces
Lecture 33 - Introduction to EEGLAB, ERPLAB and AEP Demonstration (1)
Lecture 34 - Introduction to EEGLAB, ERPLAB and AEP Demonstration (2)
Lecture 35 - Introduction to Photolithography
Lecture 36 - Basics of BCI Experimentation: Stimuli Generation and Insertion
Lecture 37 - MMN Demonstration with EEGLAB and ERPLAB (1)
Lecture 38 - MMN Demonstration with EEGLAB and ERPLAB (2)
Lecture 39 - Introduction to Photolithography (2)
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 (1)
Lecture 43 - P300 Demonstration with EEGLAB/ERPLAB (2)
Lecture 44 - Wavelet Analysis with VEP (1)
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 (2)
Lecture 48 - Demonstration: Resting Membrane Potential
Lecture 49 - Demonstration: Membrane Time Constant (Ï„)
Lecture 50 - Photoresist (SU-8) and soft lithography
Lecture 51 - Physical Vapour Deposition: Thermal Evaporation
Lecture 52 - Introduction to Epilepsy and Classification
Lecture 53 - Epileptogenisis
Lecture 54 - Demonstration: Membrane Length Constant (λ)
Lecture 55 - Demonstration: Action Potential
Lecture 56 - Demonstration: Voltage Clamp
Lecture 57 - Demonstration: Synaptic Potentials & 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

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