Juan Piccinini

This paper models the transient brain state changes induced by DMT using a time-dependent whole-brain model and fMRI data, showing heightened reactivity in specific brain regions correlated with serotonin receptor density.

The paper maps brain states of reduced consciousness into a low-dimensional space using whole-brain modeling and deep learning, revealing an orderly trajectory from wakefulness to brain injury.

This study identifies canonical brain dynamics by optimizing computational models to match empirical data from functional MRI, revealing stable spiral attractors and bifurcation-related dynamics.

The paper compares noise-driven multistability and deterministic chaos models to understand brain dynamics, finding chaotic models better reproduce multiple observables across parameter ranges.