Luc Berthouze A

This paper introduces a framework using Approximate Bayesian Computation to infer large-scale brain networks from empirical data, demonstrating its ability to identify generating models and estimate parameters accurately.

The paper shows that the temporal ordering of burst activity in an external input influences connectivity formation in a neuronal network model, promoting small-world network properties.

The paper investigates changes in directed connectivity within cortico-basal ganglia networks in Parkinsonian rats following dopamine depletion, finding dopamine-dependent beta and gamma rhythms and altered connections.

This study shows that the combination of E/I ratio and spatial arrangement of neurons predicts network dynamics, with inter-inhibitory clustering promoting oscillatory behavior.