Francesco Donnarumma

+39 06 44595208
+ 39 06 44595243

Via San Martino della Battaglia 44 - 00185 Rome - Italy


Ricercatore (Tempo Determinato)
Parole chiave:
  • cognitive modelling;
  • cognitive robotics;
  • Machine Learning and Neural Networks;
Short profile: 

I am a Researcher at the Institute of Cognitive Sciences and Technologies (ISTC-CNR), in Rome. I got a degree in Physics (Cybernetics) at the University of Naples Federico II and a Ph.D. in Computer and Information Science at the  Department of Mathematics of the University of Naples Federico II.

My research focuses on computational modelling of brain functions. Now, I am working on an architecture (a multi-purpose interpreter) based on Dynamical Neural Networks endowed with the concept of programmability in such a way to exhibit multiple behaviours and “fast“ switching among them. I am working on applications for cognitive robotic systems and studying its machine learning consequences.
Check my publications here.
Some more info here.


Check my publications here 




Donnarumma F., Costantini M., Ambrosini E., Friston K., Pezzulo G. Action perception as hypothesis testing. In: Cortex, vol. 89 pp. 45 - 60. Elsevier, 2017.  image   image   image
Donnarumma F., Dindo H., Pezzulo G. Sensorimotor coarticulation in the execution and recognition of intentional actions. In: Frontiers in Psychology, vol. 8 p. 237. Frontiers, 2017.  image   image   image

Donnarumma F., Prevete R., De Giorgio A., Montone G., Pezzulo G. Learning programs is better than learning dynamics: a Programmable Neural Network Hierarchical Architecture in a multi-task Scenario. In: Adaptive Behavior, vol. 24 (1) pp. 27 - 51. SAGE, 2016. [Online First 29 October 2016]  image   image   image
Donnarumma F., Maisto D., Pezzulo G. Problem Solving as Probabilistic Inference with Subgoaling: Explaining Human Successes and Pitfalls in the Tower of Hanoi. In: PLoS Computational Biology, vol. 12 (4) pp. 1 - 30. PLOS, 2016.  image   image   image
Maisto D., Donnarumma F., Pezzulo G. Nonparametric Problem-Space Clustering: Learning Efficient Codes for Cognitive Control Tasks. In: Entropy, vol. 18 (2) article n. 61. MDPI, 2016. [Online First 19 February 2016]  image   image   image

Candidi M., Curioni A., Donnarumma F., Sacheli L. M., Pezzulo G. Interactional Leader-Follower sensorimotor communication strategies during repetitive joint actions. In: Journal of The Royal Society Interface, vol. 12 (110) pp. 1 - 12. The Royal Society, 2015. [Online First 02 September 2015]  image   image   image
Dindo H., Donnarumma F., Chersi F., Pezzulo G. The Intentional Stance as Structure Learning: A Computational Perspective on Mindreading. In: Biological Cybernetics, vol. 109 (4) pp. 453 - 467. Springer-Verlag, 2015.  image   image   image
Donnarumma F., Prevete R., Chersi F., Pezzulo G. A Programmer-Interpreter neural network architecture for prefrontal cognitive control. In: International Journal of Neural Systems, vol. 25 (6) article n. 1550017. World Scientific, 2015.  image   image   image
Maisto D., Donnarumma F., Pezzulo G. Divide et Impera: subgoaling reduces the complexity of probabilistic inference and problem solving. In: Journal of The Royal Society Interface, vol. 12 (104) pp. 1 - 13. The Royal Society Publishing, 2015.  image   image   image


Pezzulo G., Rigoli F., Donnarumma F., Chersi F. Hippocampal forward sweeps and the balance of goal-directed and habitual controllers: a Bayesian approach. In: Frontiers in Neuroscience. Abstract, vol. - (-) p. -. Conference Abstract: Neural Coding, Decision-Making & Integration in Time. Frontiers in Neuroscience, 2012.  image   image   image