- Implementing stochastic neuron models (FitzHugh-Nagumo, LIF)
- Replicating papers on neural dynamics and spike statistics
- Learning numerical methods for SDEs
- Neural encoding and spiking dynamics
- Information theory applied to neural data
- Single-neuron biophysics and network oscillations
- How stochastic processes shape neural computation
I cook, take walks, and play guitar when I need to think through problems.
Tools: Python • NumPy • SciPy • Matplotlib • Jupyter
Currently reading: Rhythms of the Brain (Buzsáki), and papers on gamma oscillations
