NeuroTechX Student Clubs Curriculum

This page presents an overview of what knowledge student clubs should target during the year. The curriculum is not a list of all required information but more an invitation to learn.

The three columns below are the verticals of the curriculum and present the recommended fundamental knowledge required for developing brain-computer interfaces.

 Neurosciences Biosignal acquisition Data processing
  • The central nervous system in brief
  • Principal regions of the brain, structurally and functionally
  • Electricity in the brain
  • Functional processes
    • Touch
    • Vision
    • Audition
    • Motor control
    • High-level processes
  • Brain-computer interfaces in general
    • Invasive / non-invasive
    • EEG, MEG, PET, SPECT, fMRI, fNIRS
  • Biosignal acquisition (focused on electrical signal)
    • Electrodes and impedance
    • Amplification
    • Analog signal processing
    • Digitalization / Data Transmission
    • Security aspects
 
  • Connection with Device - communication protocol
  • Analysis algorithm
  • Online Vs offline
  • Online
    • Sliding window analysis
  • Offline
    • Event-related / averaging
  • Digital signal processing
    • Hardware Vs Software
 

The Experiments section contains a list of projects that you can start developing, starting with the easiest ones.

  • Experiments
    • EMG
    • ECG
    • Concentration / relaxation
    • Event-Related Potential (ERP)
    • P300
    • Emotions
    • ...
  • Extra curriculum
    • MEG
    • fNIRS
This curriculum needs to be populated with content. Feel free to help us: https://neurotechx.github.io/studentclubs/contact/
 
Other resources: http://learn.neurotechedu.com/