- Neural communication, coding, and signal variability.
- Neural decoding and interpreting brain activity.
- Biophysical modeling of neurons using Hodgkin-Huxley and other models.
- Building small neural networks and exploring network-level dynamics.
- fMRI principles, neuroimaging data analysis, and R-based neurohacking.
