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of 204
pro vyhledávání: '"Mattia, Maurizio"'
Behavioral changes in animals and humans, as a consequence of an error or a verbal instruction, can be extremely rapid. Improvement in behavioral performances are usually associated in machine learning and reinforcement learning to synaptic plasticit
Externí odkaz:
http://arxiv.org/abs/2404.07150
Local networks of neurons are nonlinear systems driven by synaptic currents elicited by its own spiking activity and the input received from other brain areas. Synaptic currents are well approximated by correlated Gaussian noise. Besides, the populat
Externí odkaz:
http://arxiv.org/abs/2404.05391
Autor:
Gutzen, Robin, De Bonis, Giulia, De Luca, Chiara, Pastorelli, Elena, Capone, Cristiano, Mascaro, Anna Letizia Allegra, Resta, Francesco, Manasanch, Arnau, Pavone, Francesco Saverio, Sanchez-Vives, Maria V., Mattia, Maurizio, Grün, Sonja, Paolucci, Pier Stanislao, Denker, Michael
Neuroscience is moving towards a more integrative discipline, where understanding brain function requires consolidating the accumulated evidence seen across experiments, species, and measurement techniques. A remaining challenge on that path is integ
Externí odkaz:
http://arxiv.org/abs/2211.08527
Despite the huge number of neurons composing a brain network, ongoing activity of local cell assemblies composing cortical columns is intrinsically stochastic. Fluctuations in their instantaneous rate of spike firing $\nu(t)$ scale with the size of t
Externí odkaz:
http://arxiv.org/abs/2112.14867
Autor:
Vinci, Gianni V., Mattia, Maurizio
Populations of spiking neuron models have densities of their microscopic variables (e.g., single-cell membrane potentials) whose evolution fully capture the collective dynamics of biological networks, even outside equilibrium. Despite its general app
Externí odkaz:
http://arxiv.org/abs/2111.03621
Autor:
Gutzen, Robin, De Bonis, Giulia, De Luca, Chiara, Pastorelli, Elena, Capone, Cristiano, Allegra Mascaro, Anna Letizia, Resta, Francesco, Manasanch, Arnau, Pavone, Francesco Saverio, Sanchez-Vives, Maria V., Mattia, Maurizio, Grün, Sonja, Paolucci, Pier Stanislao, Denker, Michael
Publikováno v:
In Cell Reports Methods 22 January 2024 4(1)
Akademický článek
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Akademický článek
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Autor:
Pastorelli, Elena, Capone, Cristiano, Simula, Francesco, Sanchez-Vives, Maria V., Del Giudice, Paolo, Mattia, Maurizio, Paolucci, Pier Stanislao
Publikováno v:
Front Syst Neurosci. 2019;13:33. Published 2019 Jul 23
Cortical synapse organization supports a range of dynamic states on multiple spatial and temporal scales, from synchronous slow wave activity (SWA), characteristic of deep sleep or anesthesia, to fluctuating, asynchronous activity during wakefulness
Externí odkaz:
http://arxiv.org/abs/1902.08410
Autor:
De Bonis, Giulia, Dasilva, Miguel, Pazienti, Antonio, Sanchez-Vives, Maria V., Mattia, Maurizio, Paolucci, Pier Stanislao
Cortical slow oscillations are an emergent property of the cortical network, a hallmark of low complexity brain states like sleep, and represent a default activity pattern. Here, we present a methodological approach for quantifying the spatial and te
Externí odkaz:
http://arxiv.org/abs/1902.08599