Vittorio Murino

This paper proposes a constrained autoregressive model to estimate effective brain connectivity by integrating structural and functional data, showing improved performance in community detection and autism classification.

This paper introduces a method to identify multivariate brain network differences between groups using sparse connectivity analysis, applied to human and mouse connectomes.

This paper introduces an efficient spike sorting method for high-density multielectrode arrays, enabling fast and reliable clustering of millions of events.