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60 Recent Trends: Epilepsy Classification using EEG data
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Classroom Contents
Introductory Neuroscience and Neuro-Instrumentation
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- 1 Introductory Neuroscience & Neuro-Instrumentation Intro
- 2 01 - Cellular (Microscopic) Structure of the Central Nervous System (CNS)
- 3 02 Anatomical (Macroscopic) structure of the CNS
- 4 03 Introduction to Cleanroom and IC Fabrication Techniques
- 5 04 Introduction to EEG applications for Hearing Loss
- 6 05 Electrophysiological Recordings
- 7 06 Neocortical Circuits
- 8 07 The resting Membrane Potential
- 9 08 Applications of MEMS Fabrication Technologies
- 10 09 Fundamentals of biopotentials and applications
- 11 10 Fundamentals of EEG and applications
- 12 11 The Action Potential (1)
- 13 12 The Action Potential (2)
- 14 13 Axonology, Neuronal Biophysics (1)
- 15 14 Axonology, Neuronal Biophysics (2)
- 16 15 Experimental Setup for EEG Recording
- 17 16 Introduction to Cleanroom Protocols and Demonstration of Gowning Procedure
- 18 17 Electromagnetic Stimulation of the Brain (1)
- 19 18 Electromagnetic Stimulation of the Brain (2)
- 20 19 Introduction to Event Related Potentials
- 21 20 Introduction to 3D Printing
- 22 21 3D Printing: Applications and Demonstrations
- 23 22 Introduction to Event Related Potentials (2)
- 24 23 Different Event Related Potentials
- 25 24 Different Event Related Potentials (2)
- 26 25 Introduction to Silicone Wafer Processing Techniques
- 27 26 Basics of Silicone Dioxide: Oxidation, Characterization and Applications
- 28 27 Inverse Problem, EEG source localization
- 29 28 Inverse Problem, EEG source localization (2)
- 30 29 Introduction to Brain Computer Interfaces
- 31 30 Signal Conditioning Circuit for EEG Bioamplifiers
- 32 31 Basics of BCI Experimentation: Introdcution BCI Applications
- 33 32 Different Brain Computer Interfaces
- 34 33 Introduction to EEGLAB, ERPLAB and AEP Demonstration
- 35 34 Introduction to EEGLAB, ERPLAB and AEP Demonstration (2)
- 36 35 Introduction to Photolithography
- 37 36 Basics of BCI Experimentation: Stimuli Generation and Insertion
- 38 37 MMN Demonstration with EEGLAB and ERPLAB (1)
- 39 38 MMN Demonstration with EEGLAB and ERPLAB (2)
- 40 39 Introduction to Photolithography (2)
- 41 40 Basics of Instrumentation Amplifier and Online Simulation
- 42 41 Basics of BCI Experimentation: Experimental Setup and Biopotential Acquisition
- 43 42 P300 Demonstration with EEGLAB/ERPLAB (1)
- 44 43 P300 Demonstration with EEGLAB/ERPLAB (2)
- 45 44 Wavelet Analysis with VEP (1)
- 46 45 Details of Lithography, E-beam Lithography and Mask Aligner
- 47 46 Basics of BCI Experimentation: Signal Acquisition using MATLAB (EEGLAB)
- 48 47 Wavelet Analysis with VEP (2)
- 49 48 Demonstration: Resting Membrane Potential
- 50 49 Demonstration: Membrane Time Constant (τ)
- 51 50 Photoresist (SU-8) and soft lithography
- 52 51 Physical Vapour Deposition: Thermal Evaporation
- 53 52 Introduction to Epilepsy and Classification
- 54 53 Epileptogenisis
- 55 54 Demonstration: Membrane Length Constant (λ)
- 56 55 Demonstration: Action Potential
- 57 56 Demonstration: Voltage Clamp
- 58 57 Demonstration: Synaptic Potentials & Current
- 59 58 Physical Vapour Deposition: E-beam Evaporation
- 60 59 Physical Vapour Deposition: Sputtering
- 61 60 Recent Trends: Epilepsy Classification using EEG data
- 62 61 Demonstration: Wireless EEG with dry electrodes
- 63 62 Basics of EEG, ERP and acquisition
- 64 63 Phtotolithography with example
- 65 64 Stress Tissue Analysis using COMSOL Multiphysics
- 66 65 Recent Trends: Microelectrode Arrays and Deep Brain Stimulation
