Davide Bernardi

This study uses multivariate empirical mode decomposition to analyze TMS-EEG responses in Alzheimer's Disease patients and controls, identifying distinct oscillatory patterns that distinguish AD from healthy subjects.

The paper uses experimental and computational methods to show that spontaneous network activity patterns predict the effects of targeted stimulation in hippocampal neuronal cultures.

The paper models the rat barrel cortex with a network of neurons and shows that a differentiator circuit can reliably detect single-neuron stimulation, aligning with experimental behavioral responses.