Introductory Neuroscience and Neuro-Instrumentation

Introductory Neuroscience and Neuro-Instrumentation

IISc Bangalore July 2018 via YouTube Direct link

36 Basics of BCI Experimentation: Stimuli Generation and Insertion

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37 of 66

36 Basics of BCI Experimentation: Stimuli Generation and Insertion

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Classroom Contents

Introductory Neuroscience and Neuro-Instrumentation

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

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