Results 111 to 120 of about 283,223 (248)
Stochastic Wilson–Cowan models of neuronal network dynamics with memory and delay
New Journal of Physics, 2015 We consider a simple Markovian class of the stochastic Wilson–Cowan type models of neuronal network dynamics, which incorporates stochastic delay caused by the existence of a refractory period of neurons.
Igor Goychuk, Andriy Goychuk
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Profiling the sleep architecture of ageing adults using a seven‐state continuous‐time Markov model
Journal of Sleep Research, Volume 34, Issue 2, April 2025.Summary Sleep is a complex biological process regulated by networks of neurons and environmental factors. As one falls asleep, neurotransmitters from sleep–wake regulating neurones work in synergy to control the switching of different sleep states throughout the night. As sleep disorders or underlying neuropathology can manifest as irregular switching,
Jonathon Jacobs +3 more
wiley +1 more source
Non-Markovian quantum input-output networks
, 2013 Quantum input-output response analysis is a useful method for modeling the dynamics of complex quantum networks, such as those for communication or quantum control via cascade connections.
Nori, Franco +4 more
core
Memory Corrections to Markovian Langevin Dynamics
EntropyAnalysis of non-Markovian systems and memory-induced phenomena poses an everlasting challenge in the realm of physics. As a paradigmatic example, we consider a classical Brownian particle of mass M subjected to an external force and exposed to correlated
Mateusz Wiśniewski +2 more
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Rate processes with non-Markovian dynamical disorder [PDF]
The Journal of Chemical Physics, 2005 Rate processes with dynamical disorder are investigated within a simple framework provided by unidirectional electron transfer (ET) with fluctuating transfer rate. The rate fluctuations are assumed to be described by a non-Markovian stochastic jump process which reflects conformational dynamics of an electron transferring donor-acceptor molecular ...
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Journal of Time Series Analysis, EarlyView.ABSTRACT Traditional graph representations are insufficient for modelling real‐world phenomena involving multi‐entity interactions, such as collaborative projects or protein complexes, necessitating the use of hypergraphs. While hypergraphs preserve the intrinsic nature of such complex relationships, existing models often overlook temporal evolution in
Xianghe Zhu, Qiwei Yao
wiley +1 more source
Interplay between external driving, dissipation and collective effects in the Markovian and non-Markovian regimes [PDF]
QuantumUnderstanding how external driving and dissipation jointly influence the dynamics of open quantum systems is essential for advancing the study of non-equilibrium quantum phenomena and developing quantum technologies. The present study addresses the issue
Roie Dann
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Multiple Chains Markov Switching Vector Autoregression
Journal of Time Series Analysis, EarlyView.ABSTRACT Both the U.S. stock and bond returns exhibit distinct Markovian regimes. However, because these regimes display limited coherence, conventional models typically require highly parameterized systems to adequately capture their joint distribution.
Leopoldo Catania
wiley +1 more source
Non-Markovian epidemic dynamics on networks
, 2018 The use of networks to model the spread of epidemics through structured populations is widespread. However, epidemics on networks lead to intractable exact systems with the need to coarse grain and focus on some average quantities.
Neil Sherborne (4463599)
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Dynamical decoupling-induced renormalization of non-Markovian dynamics
Physical Review A, 2007 We develop a framework to study the dynamics of a system under dynamical decoupling. We investigate several scenarios and assess the efficiency. We find that the efficiency critically depends on the spectral density of the bath and the envelope of the decoupling pulses.
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