Neurotechnology & BCI Lab

'This curriculum is inspired from PSYCH242 Theoretical Neuroscience Stanford University '

• Central Nervous System (CNS)
  • The Blood Brain Barrier
• Peripheral Nervous System (PNS)
  • Somatic Nervous System | Autonomic Nervous System
    • Sympathetic Nervous System | Parasympathetic Nervous  System
  • Sensory Division
  • Motor Division

Exercise: 'Design a Nervous System of a Building.'

'This curriculum is inspired from PSYCH242 Theoretical Neuroscience Stanford University '

• Neurons
  • Dendrites | Axons | Synapse
• Neuronal Communication: Anatomy & Physiology:
• Neural Communication, Synaptic Transmission
• How Neurons Communicate
• Neural Networks: From The Brain To Al (What Are Neural Networks)
• Neural Network 3D Simulation
• Glial Cells: Neurosciences
• Neurochemistry
  • Neurotransmitters: Neurotransmitters – What Are Neurotransmitters And What Do They Do In The Body?
  • Receptors: 2-Minute Neuroscience: Receptors & Ligand

Exercise: 'Design the Central Nervous System of Future Cars.'

'This curriculum is inspired from PSYCH242 Theoretical Neuroscience Stanford University '

• Brain Anatomy
• Grey and White Matter
• Brain Development
  • Embryonic Brain Development
• Brain Divisions
  • Forebrain | Midbrain | Hindbrain

Exercise: 'Take EEG signals from specific parts of brain performing specific functions.'

'This curriculum is inspired from PSYCH242 Theoretical Neuroscience Stanford University '

• Brain and Mental Health
• What Can Go Wrong?
  • Neurodevelopmental Disorders | Neurodegenerative disorders | Psychiatric disorders
• Neurogenerative Disease: The Coming Epidemic:
• Parkinson’s Disease: How it might be stopped:
• Neurogenerative Disease: A Potential gene therapy for ALS

Exercise: 'Brainstorming on Ways to Generate Handwritten Text from Brain Activity.'

• What is the definition?
• What are the types of BCI’s?
• Invasive
  • Semi-Invasive (ECoG) | Non Invasive | MEG | PET | fMRI | fNIRS | EEG
• Components
  • Brain activity | Signal acquisition | Preprocessing | Feature Extraction | Classification | Translation | Feedback device
• Applications, Examples & Limitations
• Ethics & Safety
• Future of the field

Exercise: 'Designing Futuristic Applications of Brain Computer Interface.'

• NeuroEntertainment
  • Neurogaming | NeuroToys | Art | Virtual Reality
• Security
  • Brain based authentication
• Biofeedback Therapy:
  • Anxiety | Sleep Improvement | ADHD | PTSD
• Cognitive Training
  • Performance Optimization | Brain Ageing | Early Development | Mindfulness | Accelerated Learning | Enhanced creativity
• Rehabilitation
  • Stroke Recovery | Addiction | Rett Syndrome
• Diagnostics
  • Concussion | Alzheimer’s | Epilepsy

Exercise: 'Designing Bi-directional Communication through Brain Computer Interface.'

• What to look for in a headset.
  • Number and Placement of Electrodes | Sampling Rate | ADC Bits
• Using BCI Device
  • Unicorn BCI
• Headset | Charging & Usage
• Putting on a Headset
  • Positioning
  • Using Gel
  • Starting the software
  • Connecting a headset with software
  • Reading the EEG Data
• Using Unicorn Suite
  • Unicorn Speller to spell a word using P300
  • Unicorn Blondy Check
  • Moving a Sphero robot using the Unicorn Speller suite
  • Motor Imagery Exercise

Exercise: 'Use BCI Application to Spell Words, Move Robots, and Perform Blondy Check.'

• What is Preprocessing? | Why is preprocessing needed?
• Importing Data
  • FIF | EDF / EDF+ | Other standard formats | Other non-standard formats (CSV / .mat)
• Removing Bad Channels and Interpolation
  • What is a ‘bad’ channel? | How to spot a bad channel | How to remove a bad channel from the data | Interpolation | Filtering
• Downsampling | Background | Downsampling raw data in MNE | Notes on downsampling
• Re-referencing | How are references chosen?
• Artifact rejection and correction
  • Types of artifacts | Rejection based on visualization
• Preprocessing for High Density (Research EEG) vs Low Density (Consumer EEG)
  • Channel Removal | Using Event-Markers | Data Quality | Referencing and ERP Shape
• Introduction to EEG & Generation of EEG
• Origin, significance, and interpretation of EEG

Exercise: 'Use Unicorn BCI to Generate EEG Artifacts and Identify them on the Chart.'

• What are Neural Oscillations?
• Why do we produce neural oscillations?
• So why do neural oscillations matter?
• How do we extract neural oscillations as a feature of our EEG data?
  • Importing, reading, and formatting data | Preprocessing | Epoching data

Exercise: 'Collect EEG Data of Your Team Member and Identify Alpha, Beta, Theta, and Gamma Oscillations on the Chart. Read their Frequency and Amplitude.'

• Goals
• Feature Extraction
• What is feature extraction | Which features to extract
  Event-Related Potential
  • What is an event-related potential | How to record an ERP with EEG | How to use ERP’s | How to generate an ERP | The P3 family of ERP’s | History of P3-based BCIs
• Types of ERP (P300 | SSVEP | Motor Imagery)

Exercise: 'Using the Instructions as attached, through a UDP connection, turn a LED ON and OFF'

• New Emerging Technologies
  • Introduction | Reading | Writing | Read/Write
• Applications and Public Perception
• Healthcare Applications | Wellness Applications| Outlooks

Exercise: 'Develop a system to use your thoughts and BCI technology, and generate materials for a PowerPoint presentation'