Alessandro Londei

Is the creativity process a prerogative of the human mind? Exploring new concepts, new different solutions to a given problem, or, more simply, taking into account an upcoming event never observed before, at present seems to be a challenging task for an artificial system.

An efficient approach inspired by the human special way to address the concept of "new" should take into account a mix of hierarchical abstract and interconnected conceptual levels to be processed by an adaptively "fluid" artificial neural machine.

Such approach would break several present constraints in the field of neural networks and deep learning, where the influence of static architectures and training algorithms limit the potential development of more promising neural topologies, mainly based on natural cognitive mechanisms, and allowing, at the same time, to deal with an incomplete knowledge of the perceived external world.

In my research, I try to explore this unknown domain, looking for new neural architectures and efficient unsupervised training mechanisms driven by changing non-stationary environments, aimed at the identification and comprehension of an ecological artificial mind.

[Keywords]
Neural Networks / Complexity / Innovation / Creativity / Awareness / Learning

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Selected Publications

A. Montanari, A. Londei, B. Staniscia (2014) “Can we interpret the evolution of coastal land use conflicts? Using Artificial Neural Networks to model the effects of alternative development policies” OCEAN & COASTAL MANAGEMENT, 101(B), 114-122, 2014

A. Londei (2014) “Artificial Neural Networks and complexity: an overview” In: ARCHEOSEMA Artificial Adaptive Systems for the Analysis of Complex Phenomena

S. Borsci, S. Federici, M.L. Mele, D. Polimeno, A. Londei (2012) “The Bootstrap Discovery Behaviour Model: Why Five Users are Not Enough to Test User Experience” In: COGNITIVELY INFORMED INTELLIGENT INTERFACES: SYSTEMS DESIGN AND DEVELOPMENT – E.M. Alkhalifa, G. Khulood, pag. 258-279, 2012

S. Borsci, A. Londei, S. Federici (2011) “The Bootstrap Discovery Behaviour (BDB): a new outlook on usability evaluation” COGNITIVE PROCESSING, 12(1), 23-31, 2011

A. Manna, A. Raffone, M.G. Petrucci, D. Nardo, A. Ferretti, A. Tartaro, A. Londei, C. Del 
Gratta, M. Olivetti Belardinelli, G.L. Romani (2010) “Neural correlates of focused attention and cognitive monitoring in meditation” BRAIN RESEARCH BULLETIN, Vol. 82, Issues 1-2, 46-56, 2010

A. Londei, A. D’ausilio, D. Basso, C. Sestieri, C. Del Gratta, G.L. Romani, M. Olivetti 
Belardinelli (2010) “Sensory-motor brain network connectivity for speech comprehension”
HUMAN BRAIN MAPPING, Vol 31, Issue 4, 567-580, 2010

M. Olivetti Belardinelli, M. Palmiero, C. Sestieri, D. Nardo, R. Di Matteo, A. Londei, A. D’
Ausilio, A. Ferretti, C. Del Gratta, G.L. Romani (2009) “An fMRI investigation on image generation in different sensory modalities: The influence of vividness” ACTA PSYCHOLOGICA, Vol 132, Issue 2, 103-200, 2009

P. Belardinelli, L. Ciancetta, M. Staudt, V. Pizzella, A. Londei, N. Birbaumer, G.L. Romani, 
C. Braun (2009) " Motor control in young patients with unilateral brain lesions: an MEG study”
COGNITIVE PROCESSING, 10, pag. 185-188, 2009

A. Londei, P. Savastano, M. Olivetti Belardinelli (2008). “Cooperative behavior of artificial neural agents based on evolutionary architectures” Proc. of 17th IEEE International Workshop on Enabling Technologies: Infrastructures for Collaborative Enterprises WETICE 2008, Rome, Italy,June 23-25, 2008

A. Londei, A. D’Ausilio , D. Basso, C. Sestieri, C. Del Gratta, G.L. Romani, M. Olivetti 
Belardinelli (2007) “Brain network involved in passive listening to linguistic sounds as evaluated with ICA and Granger’s causality” BRAIN RESEARCH BULLETTIN, 72, pag. 284-292, 2007

P. Belardinelli, L. Ciancetta, M. Staudt, V. Pizzella, A. Londei, N. Birbaumer, G.L. Romani, C. Braun (2007) “Cerebro-Muscular and Cerebro-Cerebral Coherence in Patients with Pre- and Perinatally Acquired Unilateral Periventricular Brain Lesions” NEUROIMAGE, 37, pag. 1301-1314, 2007

A. Londei, A. Simonetta, M. Olivetti Belardinelli (2007) “A software package for application of ICA and Granger Causality to fMRI data” Proceedings of the 13th Annual Meeting of the Organization for Human Brain Mapping. Chicago, USA, June 10-14

P. Belardinelli, L. Ciancetta, M. Staudt, V. Pizzella, A. Londei, N. Birbaumer, G.L. Romani, C. Braun (2007) “From where to how: assessing mechanisms of neural plasticity in patients with unilateral brain lesions” Proceedings of the International Conference on Functional Biomedical Imaging, 2007. NFSI-ICFBI 2007

M. Olivetti Belardinelli, M. Palmiero, C. Sestieri, A. Londei, A. D’Ausilio, R. Di Matteo, A.

A. Londei, A. D’Ausilio, D. Basso, M. Olivetti Belardinelli (2006) “A new method for detecting causality in fMRI data of cognitive processing” COGNITIVE PROCESSING, n.7, pag. 42-52, 2006

M. Balsi, V. Cimagalli, G. Cruccu, G.D. Iannetti, A. Londei, P.L. Romanelli (2002)  “Short Term Evaluation of Brain Activities in fMRI Data by Spatiotemporal Independent  Component Analysis”
LECTURE NOTES IN COMPUTER SCIENCE – vol. 2526, p. 167-176

S. Jankowski, A. Londei, A. Lozowski, C. Mazur (1996) “Synchronization and Control in a Cellular Neural Network of Chaotic Units by Local Pinnings” INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS, Vol. 24, pag. 275-281, 1996

S. Jankowski, A. Londei, C. Mazur, A. Lozowski (1995) “Synchronization and Association in a Large Network of Coupled Chua’s Circuits” INTERNATIONAL JOURNAL OF ELECTRONICS, Vol. 79, n. 6, pag. 823-828, (1995)

Profile

Alessandro Londei holds a Degree in Physics and a Ph.D. in Electronic Engineering from Sapienza University of Rome. Moreover, he holds a degree in music and theater arts that allowed him a long and fruitful career in the performing arts, from classical theater, to musical show up to opera both as performer and stage director. This is the main reason why the scientific career of Alessandro Londei has always been affected by the desire to understand the functioning of creativity and the understanding of the new in the artificial systems domain. He has taught Theory of Neural Networks and Artificial Intelligence in the faculties of Engineering and Psychology of the Sapienza University of Rome, carrying out simultaneously several researches concerning the cognitive abilities of natural and artificial systems. He has also participated in several European projects (FP7 and H2020), dealing with the modeling of complex social systems, in particular for the definition of socio-economic conflicts and mobility dynamics.

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