Neurotech Lab
Neurotech Lab: Build Brain-Computer Interfaces with a BCI Startup. A 4–8 weeks Intravarsity career experience (30–50 hours) for school and undergraduate stude
Floor 7's Neurotech Studio houses startups building the next generation of brain-computer interfaces. Using professional-grade EEG headsets and signal processing workstations, you'll record brainwaves, build machine learning classifiers for mental states, and create a working neurofeedback app — mentored by real neuroscientists.
Record and decode brain signals in our San Francisco campus Neurotech Studio. Work alongside a BCI startup — analyze EEG data, train classifiers on mental states, and build a real neurofeedback application.
Who it is for
High school, secondary school students & undergraduates. Interest in brain science or psychology. No coding experience required.
Weekly plan
Week 1: Brain Signals & Recording
- Learn brain anatomy and neural communication from the startup's neuroscientist
- Set up OpenBCI EEG headset and record your own brain signals
- Visualize alpha, beta, theta, and delta brainwaves in real-time
- Learn signal processing fundamentals with Python (NumPy, SciPy)
Week 2: Signal Processing & Pattern Recognition
- Apply FFT to decompose brain signals into frequency components
- Filter noise and extract meaningful neural patterns
- Build classifiers to detect attention vs. relaxation states
- Compare brain activity across different cognitive tasks
Week 3: Machine Learning for BCI
- Train ML classifiers on mental states using scikit-learn
- Build a real-time BCI that responds to concentration levels
- Implement audio/visual neurofeedback loops
- Test with multiple participants in the Neurotech Studio
Week 4: App & Research Presentation
- Design and build a neurofeedback training application
- Compile findings into a research poster with the startup's branding
- Present at Neurotech Demo Day to BCI founders and researchers
- Receive recommendation and Proof-of-Work credential
What you produce
- Working neurofeedback application
- Research poster with EEG analysis
- Annotated EEG dataset
- Neurotech startup recommendation
- Intravarsity Proof-of-Work credential
Skills
Neuroscience, EEG Analysis, Python (NumPy, SciPy, scikit-learn), Signal Processing, Machine Learning, Data Visualization, Research Methods, BCI Design
Commitment
~5–8 hours/week for 4–8 weeks (30–50 hours total). In-person in San Francisco with the host company.