Tavoni Lab

PI: Gaia Tavoni, PhD

The Tavoni laboratory develops theories and models to understand how information is represented and processed in neuronal networks, and how brain computations adapt to changing environments and conditions. Areas of focus in the lab include coarse-grained and biophysical models of perceptual learning, statistical physics approaches to memory consolidation and retrieval, Bayesian and complexity theories of high-level cognition, and data-driven models of decision circuits.