FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2323804956> ?p ?o ?g. }

• W2323804956 abstract "Understanding neural variability is currently one of the biggest challenges in neuroscience. Using theory and computational modeling, we study the behavior of a globally coupled inhibitory neural network, in which each neuron follows a purely stochastic two-state spiking process. We investigate the role of both this intrinsic randomness and the conduction delay on the emergence of fast (e.g., gamma) oscillations. Toward that end, we expand the recently proposed linear noise approximation (LNA) technique to this non-Markovian delay case. The analysis first leads to a nonlinear delay-differential equation (DDE) with multiplicative noise for the mean activity. The LNA then yields two coupled DDEs, one of which is driven by additive Gaussian white noise. These equations on their own provide an excellent approximation to the full network dynamics, which are much longer to integrate. They further allow us to compute a theoretical expression for the power spectrum of the population activity. Our analytical result is in good agreement with the power spectrum obtained via numerical simulations of the full network dynamics, for the large range of parameters where both the intrinsic stochasticity and the conduction delay are necessary for the occurrence of oscillations. The intrinsic noise arises from the probabilistic description of each neuron, yet it is expressed at the system activity level, and it can only be controlled by the system size. In fact, its effect on the fluctuations in system activity disappears in the infinite network size limit, but the characteristics of the oscillatory activity depend on all model parameters including the system size. Using the Hilbert transform, we further show that the intrinsic noise causes sporadic strong fluctuations in the phase of the gamma rhythm." @default.
• W2323804956 created "2016-06-24" @default.
• W2323804956 creator A5063019811 @default.
• W2323804956 creator A5076033503 @default.
• W2323804956 creator A5084061067 @default.
• W2323804956 date "2014-07-07" @default.
• W2323804956 modified "2023-10-14" @default.
• W2323804956 title "Linear noise approximation for oscillations in a stochastic inhibitory network with delay" @default.
• W2323804956 cites W1967558119 @default.
• W2323804956 cites W1971296976 @default.
• W2323804956 cites W1981542423 @default.
• W2323804956 cites W2006123057 @default.
• W2323804956 cites W2010937504 @default.
• W2323804956 cites W2012330198 @default.
• W2323804956 cites W2019314561 @default.
• W2323804956 cites W2034525416 @default.
• W2323804956 cites W2046451925 @default.
• W2323804956 cites W2047931881 @default.
• W2323804956 cites W2064720006 @default.
• W2323804956 cites W2073937499 @default.
• W2323804956 cites W2079712990 @default.
• W2323804956 cites W2081774603 @default.
• W2323804956 cites W2084924279 @default.
• W2323804956 cites W2099897558 @default.
• W2323804956 cites W2114424623 @default.
• W2323804956 cites W2118443758 @default.
• W2323804956 cites W2118534045 @default.
• W2323804956 cites W2120719475 @default.
• W2323804956 cites W2124937370 @default.
• W2323804956 cites W2127381920 @default.
• W2323804956 cites W2130821986 @default.
• W2323804956 cites W2131215403 @default.
• W2323804956 cites W2158424806 @default.
• W2323804956 cites W2162013747 @default.
• W2323804956 cites W2167154952 @default.
• W2323804956 cites W2167876724 @default.
• W2323804956 cites W2169791062 @default.
• W2323804956 cites W3104355884 @default.
• W2323804956 cites W316919195 @default.
• W2323804956 doi "https://doi.org/10.1103/physreve.90.012702" @default.
• W2323804956 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/25122330" @default.
• W2323804956 hasPublicationYear "2014" @default.
• W2323804956 type Work @default.
• W2323804956 sameAs 2323804956 @default.
• W2323804956 citedByCount "10" @default.
• W2323804956 countsByYear W23238049562014 @default.
• W2323804956 countsByYear W23238049562015 @default.
• W2323804956 countsByYear W23238049562016 @default.
• W2323804956 countsByYear W23238049562017 @default.
• W2323804956 countsByYear W23238049562019 @default.
• W2323804956 countsByYear W23238049562020 @default.
• W2323804956 countsByYear W23238049562021 @default.
• W2323804956 crossrefType "journal-article" @default.
• W2323804956 hasAuthorship W2323804956A5063019811 @default.
• W2323804956 hasAuthorship W2323804956A5076033503 @default.
• W2323804956 hasAuthorship W2323804956A5084061067 @default.
• W2323804956 hasConcept C105795698 @default.
• W2323804956 hasConcept C112633086 @default.
• W2323804956 hasConcept C11413529 @default.
• W2323804956 hasConcept C115961682 @default.
• W2323804956 hasConcept C119857082 @default.
• W2323804956 hasConcept C121332964 @default.
• W2323804956 hasConcept C121864883 @default.
• W2323804956 hasConcept C125112378 @default.
• W2323804956 hasConcept C131021393 @default.
• W2323804956 hasConcept C13412647 @default.
• W2323804956 hasConcept C147504518 @default.
• W2323804956 hasConcept C154945302 @default.
• W2323804956 hasConcept C158622935 @default.
• W2323804956 hasConcept C18015164 @default.
• W2323804956 hasConcept C186565885 @default.
• W2323804956 hasConcept C2775924081 @default.
• W2323804956 hasConcept C28826006 @default.
• W2323804956 hasConcept C33923547 @default.
• W2323804956 hasConcept C41008148 @default.
• W2323804956 hasConcept C4199805 @default.
• W2323804956 hasConcept C47446073 @default.
• W2323804956 hasConcept C50644808 @default.
• W2323804956 hasConcept C51955184 @default.
• W2323804956 hasConcept C62520636 @default.
• W2323804956 hasConcept C761482 @default.
• W2323804956 hasConcept C76155785 @default.
• W2323804956 hasConcept C99498987 @default.
• W2323804956 hasConceptScore W2323804956C105795698 @default.
• W2323804956 hasConceptScore W2323804956C112633086 @default.
• W2323804956 hasConceptScore W2323804956C11413529 @default.
• W2323804956 hasConceptScore W2323804956C115961682 @default.
• W2323804956 hasConceptScore W2323804956C119857082 @default.
• W2323804956 hasConceptScore W2323804956C121332964 @default.
• W2323804956 hasConceptScore W2323804956C121864883 @default.
• W2323804956 hasConceptScore W2323804956C125112378 @default.
• W2323804956 hasConceptScore W2323804956C131021393 @default.
• W2323804956 hasConceptScore W2323804956C13412647 @default.
• W2323804956 hasConceptScore W2323804956C147504518 @default.
• W2323804956 hasConceptScore W2323804956C154945302 @default.
• W2323804956 hasConceptScore W2323804956C158622935 @default.
• W2323804956 hasConceptScore W2323804956C18015164 @default.
• W2323804956 hasConceptScore W2323804956C186565885 @default.
• W2323804956 hasConceptScore W2323804956C2775924081 @default.
• W2323804956 hasConceptScore W2323804956C28826006 @default.

• next