Maria Grazia Di Bono

Research Interests

• Machine Learning algorithms for fMRI data analysis

• Graph theoretical analysis of functional brain networks (fMRI and EEG data)

• Computational models

• Numerical cognition

• Interactions between space and time

• Machine Learning applications

Education
Ph.D., Psychology/Cognitive Science, University of Padova (2009)
Laurea (M.Sc.), Computer Science, University of Pisa (2002)

Representative publications

• Gava, L., Valenza, E., Di Bono, M. G., & Tosatto, C. (2012). Discrimination and ordinal
  judgments of temporal durations at 3 months. Infant Behavior and Development, 35, 751-
  760.

• Di Bono, M. G., Casarotti, M., Priftis, K., Gava, L., Umiltà, C., & Zorzi, M. (2012). Priming
  the Mental Time Line. Journal of Experimental Psychology. Human Perception and
  Performance, 38(4), 838-842.

• Cavinato, M., Di Bono, M. G., Cisotto, G., Genna, C., Marangon, M., Zorzi, M., & Piccione,
  F. (2011). The effects of transcranial direct current stimulation on oscillatory brain activity
  in vegetative state: a preliminary study. Archives Italiennes de Biologie a Journal of
  neuroscience, 149(3), S29.
• Zorzi, M., Di Bono, M. G., & Fias, W. (2011). Distinct representations of numerical and
  non-numerical order in the human intraparietal sulcus revealed by multivariate pattern
  recognition. NeuroImage, 56(2), 674-80.
• Kramer, P., Di Bono, M. G., & Zorzi, M. (2011). Numerosity estimation in visual stimuli in
  the absence of luminance-based cues. PloS one, 6(2), e17378.
• Colantonio, S., Benvenuti, M., Di Bono, M. G., Pieri, G., & Salvetti, O. (2007). Object tracking in a
  stereo and infrared vision system. Infrared Physics & Technology, 49(3), 266-271.
• Colantonio, S., Di Bono, M. G., Pieri, G., Solvetti, O., & Cavaccini, G. (2005). System health
  monitoring using multilevel artificial neural networks. IEEE International Conference on
  Computational Intelligence for Measurement Systems and Applications - CIMSA 2005 (Giardini
  Naxos - Taormina, Italy). IEEE proceedings, pp. 50-55.
• Di Bono, M. G., Pieri, G., & Salvetti, O. (2005). Multimedia target tracking through feature
  detection and database retrieval. 22th International Conference on Machine Learning - Workshop
  on Machine Learning Techniques for Processing Multimedia Content (Bonn - Germany). ACM
  proceedings, pp. 19-22. Luc De Raedt, Stefan Wrobel (Eds.).

Links

• Personal Google Scholar webpage
• Personal ResearchGate webpage
• CV