STEM School of Innovation > Innovation Labs > Neurotechnology & BCI Lab
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Our Neurotechnology & Brain-Computer Interface Research Lab is yet another effort to help our innovators research futuristic technologies. In our Brain-Machine Interface Research Lab, we have acquired technology that captures human brain waves and converts them into programmable signals. This center has all the facilities to develop machines of the future that will be controlled by the thoughts of a person.

Giving children access to such powerful and futuristic technologies will open a whole new world of possibilities, allowing them to capitalize on their innovative ideas and develop radical inventions.

At our Neurotechnology & Brain-Computer Interface Research Lab, we provide our students:

  • Domain-specific training.
  • Activities to understand domain concepts.
  • One large project at the end of the module.
  • We leave our students by introducing them to some of the most pressing problems in the neurotechnology domain, encouraging them to find a solution later in their lives.

Our Domain Research Lab Curriculum is inspired by the curriculums of some of the best universities in the world. These labs are designed with these three outcomes in mind:

  1. Introduce you to the basic and advanced topics of these domains through interesting modules.
  2. Introduce you to some of the challenges in these domains and encourage you to brainstorm ways to solve them.
  3. Enable you to find your passion early and enable you to make better and more informed career decisions later in your life.

Neurotechnology & Brain-Computer Interface Research Lab Curriculum

DSNTBC101 :: The Nervous System

'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.'

DSNTBC102 :: The Brain at Cellular Level

'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.'

DSNTBC103 Neuroanatomy & Brain Organization

'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.'

DSNTBC104 :: Brain Diseases and Disorders

'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.'

DSNTBC105 :: Introduction to Brain Computer Interface (BCI)

  • 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.'

DSNTBC106 :: BCI Applications

  • 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.'

DSNTBC107 :: Introduction to Unicorn BCI Headsets

  • 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.'

DSNTBC108 :: BCI Signal Processing

  • 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.'

DSNTBC109 :: Extracting Neural Oscillations from EEG data

  • 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.'

DSNTBCI10 :: Event Related Potential (ERP)

  • 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'

DSNTBCI11 :: Future of BCI

  • 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'