Diego Sona

Visiting scientist


Via Morego, 30
+39 010 71781 819


Diego Sona is a researcher at the Fondazione Bruno Kessler (FBK) in the Neuroinformatics Laboratory (NILab) and visiting scientist at the Istituto Italiano di Tecnologia (IIT) leading the Biomedical Imaging team at the dept. of Pattern Analysis and Computer Vision (PAVIS).

He received the Ph.D degree in Computer Science in 2002 from the University of Pisa with a thesis on modeling  of artificial neural networks through formal methods. From 2002 to 2008 he served as researcher in the Adaptive Advisory Systems Group at the Istituto Trentino di Cultura, investigating machine learning models for structured data and contextual processing, with main application to information retrieval and text data management. In 2008 he moved to the Neuroinformatics Laboratory at FBK, studying multivariate pattern analysis methods for brain decoding and brain mapping from functional brain imaging.  In 2010 he became tenured researcher at FBK. From 2008 to 2011 he has been guest researcher at the Center for Mind/Brain Sciences in the University of Trento. Since 2011 he joined as a visiting scientist the Pattern Analysis and Computer Vision department at the Istituto Italiano di Tecnologia leading the activities in biomedical imaging.

His research is on machine learning and pattern recognition methods, with application to various domains, like information retrieval, structured data analysis, computer vision, neuroimaging and biomedical imaging. The most significant recent research activity spans various automatic methods for animal phenotyping, ranging from video and signal analysis for social and non-social behavior understanding, to the investigation of corresponding neuronal correlates: from functional and structural brain connectivity down to the analysis of meso-scale neuronal network populations.

He has co-authored more than 60 peer-reviewed publications, published in refereed journals and international conferences and served as reviewer for several international journals and conferences.

Selected Publications



iit Publications

2017 3D dendrite tracing inspired by diffusion MRI tractography
2017 Atlas-free connectivity analysis driven by white matter structure
2017 Case-control discrimination through effective brain connectivity
2017 Data-driven Study of Mouse Sleep-stages using Restricted Boltzmann Machines
2017 Effective Brain Connectivity based on Structural Prior
2017 Segmentation of Retinal Ganglion Cells From Fluorescent Microscopy Imaging
2017 Sparse representation of the connectome for group discrimination: application to multiple sclerosis
2017 Unsupervised Spike Sorting for Large-Scale, High-Density Multielectrode Arrays
2016 Effective brain connectivity through a constrained autoregressive model
2016 Multiple Mice Tracking and Segmentation through SIFT Flow Analysis
2016 Traces of human functional activity: Moment-to-moment fluctuations in fMRI data
2016 Unsupervised mouse behavior analysis: A data-driven study of mice interactions
2015 Automated multi-subject fiber clustering of mouse brain using dominant sets
2015 Bridging the gap in connectomic studies: A particle filtering framework for estimating structural connectivity at network scale
2015 Improving freak descriptor for image classification
2015 Kernel-based analysis of functional brain connectivity on Grassmann manifold
2015 Kernel-based classification for brain connectivity graphs on the Riemannian manifold of positive definite matrices
2015 Modelling Retinal Activity with Restricted Boltzmann Machines: a Study on the Inhibitory Circuitry
2015 New trends in image analysis and processing – ICIAP 2015 workshops: ICIAP 2015 international workshops BioFor, CTMR, RHEUMA, ISCA, MADiMa SBMI, and QoEM Genoa, Italy, september 7–8, 2015 proceedings
2015 Non-parametric temporal modeling of the hemodynamic response function via a liquid state machine
2015 Preface
2015 Sleep-stage scoring in mice: The influence of data pre-processing on a system's performance
2014 Chronic and acute intranasal oxytocin produce divergent social effects in mice
2014 Describing the conformational landscape of small organic molecules through Gaussian mixtures in dihedral space
2014 Functional connectivity estimation over large networks at cellular resolution based on electrophysiological recordings and structural prior
2014 Group-wise functional community detection through joint Laplacian diagonalization
2014 Joint laplacian diagonalization for multi-modal brain community detection
2013 Automatic Visual Tracking and Social Behaviour Analysis with Multiple Mice
2013 Automatic White Matter Fiber Clustering Using Dominant Sets
2013 Dirichlet process mixtures of multinomials for data mining in mice behaviour analysis
2013 Neuronal network structural connectivity estimation by probabilistic features and graph heat kernels
2013 Neuronal Network Structural Connectivity Estimation by Probabilistic Features and Graph Heat Kernels
2012 Automatic tractography analysis through sparse networks in case-control studies
2012 Clustered subsampling for clinically informed diagnostic brain mapping
2012 Fitting and simplification of mixtures for clustering conformational populations of small organic molecules
2012 Inner product tree for improved Orthogonal Matching Pursuit
2012 Pairwise analysis for longitudinal fMRI studies
2012 Segmentation and tracking of multiple interacting mice by temperature and shape information
2012 Structural and functional identification of sub-networks in dissociated neuronal cultures: an automated multimodal analysis combining high density MEA and fluorescence imaging