Daniele Caligiore

About me

I'm a researcher at the Laboratory of Computational Embodied Neuroscience (LOCEN), in the Institute of Cognitive Sciences and Technologies, wich is part of the National Reserch Council (CNR), placed in Rome. I have got a master degree in Electronic Engineer at University of Catania and a PhD in Biomedical Engineering at University Campus Bio-Medico of Rome. I'm currently involved in a FP7 project, ROSSI (Emergence of communication in RObots through Sensorimotor and Social Interaction) and also in a recent started FP7 project, IM-CLeVeR (Intrisically Motivated Cumulative Learning Versatile Robots). My research interests include infant motor development, developmental robotics, computational embodied neuroscience, affordances, cumulative learning, reinforcement and hebbian learning. I am currently guest-editing a special issue of Psychological Research on "Vision, Action and Language Unified by Embodiment".

Selected Publications

Caligiore, D., Borghi, A.M., Parisi, D., & Baldassarre, G. (2010). TRoPICALS: A Computational Embodied Neuroscience Model of Compatibility Effects, Psychological Review, 117, 1188-1228. (pdf pre-print)

Borghi, A.M., Caligiore, D., & Scorolli, C. (2010). Objects, words, and actions. Some reasons why embodied models are badly needed in cognitive psychology. In V. Capecchi, M. Buscema, P. Contucci, B. D'Amore (Eds.), Applications of Mathematics in Models, Artificial Neural Networks and Arts. Mathematics and Society. Springer. (pdf)

CEN Method

The modern science investigates the human mind through three main methods: brain imaging methods; behavioral experiments with healthy and neurologically impaired participants; and computational modeling. Unfortunately there is currently very little proper discussion and exchange of views among different experts using these different scientific approaches. I believe that this kind of multimethodological and multidisciplinary discussion is a useful and necessary step to share the advantages of each approach and to achieve a cumulative understanding of the neural mechanisms underlying the human beings behaviour (read more)