@article {2013,
	title = {Common dynamical features of sensory adaptation in photoreceptors and olfactory sensory neurons.},
	journal = {Nature. Scientific Reports 3, Article number: 1251, Published  : 13 February 2013},
	year = {2013},
	publisher = {SISSA},
	abstract = {<p>Sensory systems adapt, i.e., they adjust their sensitivity to external stimuli according to the ambient level. In this paper we show that single cell electrophysiological responses of vertebrate olfactory receptors and of photoreceptors to different input protocols exhibit several common features related to adaptation, and that these features can be used to investigate the dynamical structure of the feedback regulation responsible for the adaptation. In particular, we point out that two different forms of adaptation can be observed, in response to steps and to pairs of pulses. These two forms of adaptation appear to be in a dynamical trade-off: the more adaptation to a step is close to perfect, the slower is the recovery in adaptation to pulse pairs and viceversa. Neither of the two forms is explained by the dynamical models currently used to describe adaptation, such as the integral feedback model.</p>},
	doi = {10.1038/srep01251},
	author = {Giovanna De Palo and Giuseppe Facchetti and Monica Mazzolini and Anna Menini and Vincent Torre and Claudio Altafini}
}
@article {2011,
	title = {Computing global structural balance in large-scale signed social networks.},
	journal = {Proceedings of the National Academy of Sciences of the United States of America. Volume 108, Issue 52, 27 December 2011, Pages 20953-20958},
	number = {PMID:22167802;},
	year = {2011},
	note = {Free fulltext article in Pubmed Central},
	publisher = {National Academy of Sciences},
	abstract = {Structural balance theory affirms that signed social networks (i.e., graphs whose signed edges represent friendly/hostile interactions among individuals) tend to be organized so as to avoid conflictual situations, corresponding to cycles of negative parity. Using an algorithm for ground-state calculation in large-scale Ising spin glasses, in this paper we compute the global level of balance of very large online social networks and verify that currently available networks are indeed extremely balanced. This property is explainable in terms of the high degree of skewness of the sign distributions on the nodes of the graph. In particular, individuals linked by a large majority of negative edges create mostly \\\"apparent disorder,\\\" rather than true \\\"frustration.\\\"},
	keywords = {Combinatorial optimization},
	doi = {10.1073/pnas.1109521108},
	url = {http://hdl.handle.net/1963/6426},
	author = {Giuseppe Facchetti and Giovanni Iacono and Claudio Altafini}
}
