About me
I apply Nonlinear Dynamics and Statistical Physics to model the networks involved in path integration and pattern separation in the brains of mice. My research currently involves: a) developing non-Markovian random walks and applying data analysis to understand spatial learning; b) modeling cell dynamics using simplified, but mathematically accurate, neuron models (discrete and continuous time); c) self-organization to (quasi-)criticality in E-I networks of stochastic neurons, yielding neuronal avalanches, synaptic balance and asynchronous-irregular spiking; d) modeling the communication between brain regions in the epileptic brain.
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