Zobrazeno 1 - 10
of 171
pro vyhledávání: '"PELITI, LUCA"'
Organisms have evolved immune systems that can counter pathogenic threats. The adaptive immune system in vertebrates consists of a diverse repertoire of immune receptors that can dynamically reorganize to specifically target the ever-changing pathoge
Externí odkaz:
http://arxiv.org/abs/2410.04693
Publikováno v:
PRX Life 1, 013014 (2023)
Cell lineage statistics is a powerful tool for inferring cellular parameters, such as division rate, death rate or the population growth rate. Yet, in practice such an analysis suffers from a basic problem: how should we treat incomplete lineages tha
Externí odkaz:
http://arxiv.org/abs/2305.05406
Autor:
Arenzon, Jeferson J., Peliti, Luca
Publikováno v:
Phys. Rev. E 108 (2023) 034409
We introduce a minimal model of multilevel selection on structured populations, considering the interplay between game theory and population dynamics. Through a bottleneck process, finite groups are formed with cooperators and defectors sampled from
Externí odkaz:
http://arxiv.org/abs/2305.01059
We analyze F\"urth's 1933 classical uncertainty relations in the modern language of stochastic differential equations. Our interest is motivated by applications to non-equilibrium classical statistical mechanics. We show that F\"urth's uncertainty re
Externí odkaz:
http://arxiv.org/abs/2302.08290
Publikováno v:
Phys. Rev. E 107, 054113 (2023)
We use trajectory averaging to show that the energy dissipated in the nonequilibrium energy-state transitions of a driven two-state system satisfies a fluctuation-dissipation relation. This connection between the average energy dissipation induced by
Externí odkaz:
http://arxiv.org/abs/2211.01056
We investigate the stochastic behavior of the single-trajectory spectral density $S(\omega,\mathcal{T})$ of several Gaussian stochastic processes, i.e., Brownian motion, the Ornstein-Uhlenbeck process, the Brownian gyrator model and fractional Browni
Externí odkaz:
http://arxiv.org/abs/2205.11893
We discuss the statistical properties of a single-trajectory power spectral density $S(\omega,\mathcal{T})$ of an arbitrary real-valued centered Gaussian process $X(t)$, where $\omega$ is the angular frequency and $\mathcal{T}$ the observation time.
Externí odkaz:
http://arxiv.org/abs/2205.12055
We formulate an adaptive version of Kelly's horse model in which the gambler learns from past race results using Bayesian inference. A known asymptotic scaling for the difference between the growth rate of the gambler and the optimal growth rate, kno
Externí odkaz:
http://arxiv.org/abs/2201.03387
Keeping a memory of evolving stimuli is ubiquitous in biology, an example of which is immune memory for evolving pathogens. However, learning and memory storage for dynamic patterns still pose challenges in machine learning. Here, we introduce an ana
Externí odkaz:
http://arxiv.org/abs/2110.15008
Storing memory for molecular recognition is an efficient strategy for responding to external stimuli. Biological processes use different strategies to store memory. In the olfactory cortex, synaptic connections form when stimulated by an odor, and es
Externí odkaz:
http://arxiv.org/abs/2106.02186