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Alberto Imparato

Explore the profile of Alberto Imparato including associated specialties, affiliations and a list of published articles. Areas
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Articles 19
Citations 81
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Recent Articles
1.
Viot P, Argun A, Volpe G, Imparato A, Rondoni L, Oshanin G
Soft Matter . 2024 Mar; 20(14):3154-3160. PMID: 38512337
The Brownian gyrator (BG) is often called a minimal model of a nano-engine performing a rotational motion, judging solely upon the fact that in non-equilibrium conditions its torque, specific angular...
2.
Drewsen M, Imparato A
Phys Rev E . 2019 Nov; 100(4-1):042138. PMID: 31770990
We study the dynamic properties of a thermal autonomous machine made up of two quantum Brownian particles, each of which is in contact with an environment at different temperature and...
3.
Sune M, Imparato A
Phys Rev Lett . 2019 Sep; 123(7):070601. PMID: 31491110
We consider an out-of-equilibrium lattice model consisting of 2D discrete rotators, in contact with heat reservoirs at different temperatures. The equilibrium counterpart of such a model, the clock model, exhibits...
4.
Olmi S, Angulo-Garcia D, Imparato A, Torcini A
Sci Rep . 2017 May; 7(1):1577. PMID: 28484244
Neurons in the intact brain receive a continuous and irregular synaptic bombardment from excitatory and inhibitory pre- synaptic neurons, which determines the firing activity of the stimulated neuron. In order...
5.
Argun A, Moradi A, Pince E, Bagci G, Imparato A, Volpe G
Phys Rev E . 2017 Jan; 94(6-1):062150. PMID: 28085327
Most natural and engineered processes, such as biomolecular reactions, protein folding, and population dynamics, occur far from equilibrium and therefore cannot be treated within the framework of classical equilibrium thermodynamics....
6.
Villadsen N, Andreasen D, Hagelskjaer J, Thogersen J, Imparato A, Keiding S
Opt Express . 2015 Jun; 23(10):13141-52. PMID: 26074567
We introduce a new optical technique where a train of short optical pulses is utilized to disturb a trapped microscopic particle. Using fast (250 kHz) and accurate (nm) detection of...
7.
Bulnes Cuetara G, Esposito M, Imparato A
Phys Rev E Stat Nonlin Soft Matter Phys . 2014 Oct; 89(5):052119. PMID: 25353751
Evaluating the entropy production (EP) along a stochastic trajectory requires the knowledge of the system probability distribution, an ensemble quantity notoriously difficult to measure. In this paper we show that...
8.
Mikkelsen K, Imparato A, Torcini A
Phys Rev Lett . 2014 Aug; 110(20):208101. PMID: 25167453
The collective dynamics of excitatory pulse coupled neurons with spike-timing dependent plasticity is studied. The introduction of spike-timing dependent plasticity induces persistent irregular oscillations between strongly and weakly synchronized states,...
9.
Mikkelsen K, Imparato A, Torcini A
Phys Rev E Stat Nonlin Soft Matter Phys . 2014 Jul; 89(6):062701. PMID: 25019808
The collective dynamics of excitatory pulse-coupled neural networks with spike-timing-dependent plasticity (STDP) is studied. Depending on the model parameters stationary states characterized by high or low synchronization can be observed....
10.
Heidarsson P, R Otazo M, Bellucci L, Mossa A, Imparato A, Paci E, et al.
Structure . 2013 Sep; 21(10):1812-21. PMID: 24012477
EF-hand calcium sensors respond structurally to changes in intracellular Ca(2+) concentration, triggering diverse cellular responses and resulting in broad interactomes. Despite impressive advances in decoding their structure-function relationships, the folding...