FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2046043350> ?p ?o ?g. }

• W2046043350 abstract "Negative serial correlations in single spike trains are an effective method to reduce the variability of spike counts. One of the factors contributing to the development of negative correlations between successive interspike intervals is the presence of adaptation currents. In this work, based on a hidden Markov model and a proper statistical description of conditional responses, we obtain analytically these correlations in an adequate dynamical neuron model resembling adaptation. We derive the serial correlation coefficients for arbitrary lags, under a small adaptation scenario. In this case, the behavior of correlations is universal and depends on the first-order statistical description of an exponentially driven time-inhomogeneous stochastic process." @default.
• W2046043350 created "2016-06-24" @default.
• W2046043350 creator A5027931249 @default.
• W2046043350 date "2011-10-03" @default.
• W2046043350 modified "2023-09-25" @default.
• W2046043350 title "Onset of negative interspike interval correlations in adapting neurons" @default.
• W2046043350 cites W1497599289 @default.
• W2046043350 cites W1590117132 @default.
• W2046043350 cites W1964812021 @default.
• W2046043350 cites W1978907976 @default.
• W2046043350 cites W1981308766 @default.
• W2046043350 cites W1986263245 @default.
• W2046043350 cites W1993578154 @default.
• W2046043350 cites W1995994382 @default.
• W2046043350 cites W1997755397 @default.
• W2046043350 cites W2001388733 @default.
• W2046043350 cites W2002157354 @default.
• W2046043350 cites W2006602134 @default.
• W2046043350 cites W2020285738 @default.
• W2046043350 cites W2027173466 @default.
• W2046043350 cites W2035845442 @default.
• W2046043350 cites W2036335207 @default.
• W2046043350 cites W2048528277 @default.
• W2046043350 cites W2054326290 @default.
• W2046043350 cites W2059014916 @default.
• W2046043350 cites W2062751232 @default.
• W2046043350 cites W2062989488 @default.
• W2046043350 cites W2070237615 @default.
• W2046043350 cites W2071250994 @default.
• W2046043350 cites W2072334497 @default.
• W2046043350 cites W2075289371 @default.
• W2046043350 cites W2080896397 @default.
• W2046043350 cites W2081019930 @default.
• W2046043350 cites W2091127782 @default.
• W2046043350 cites W2094677279 @default.
• W2046043350 cites W2100478972 @default.
• W2046043350 cites W2112136490 @default.
• W2046043350 cites W2122939427 @default.
• W2046043350 cites W2126945096 @default.
• W2046043350 cites W2138145511 @default.
• W2046043350 cites W2142329149 @default.
• W2046043350 cites W2168198049 @default.
• W2046043350 cites W2171849804 @default.
• W2046043350 cites W2321124279 @default.
• W2046043350 cites W4253243508 @default.
• W2046043350 cites W4300126076 @default.
• W2046043350 cites W94931019 @default.
• W2046043350 doi "https://doi.org/10.1103/physreve.84.041904" @default.
• W2046043350 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/22181172" @default.
• W2046043350 hasPublicationYear "2011" @default.
• W2046043350 type Work @default.
• W2046043350 sameAs 2046043350 @default.
• W2046043350 citedByCount "21" @default.
• W2046043350 countsByYear W20460433502012 @default.
• W2046043350 countsByYear W20460433502013 @default.
• W2046043350 countsByYear W20460433502014 @default.
• W2046043350 countsByYear W20460433502015 @default.
• W2046043350 countsByYear W20460433502016 @default.
• W2046043350 countsByYear W20460433502017 @default.
• W2046043350 countsByYear W20460433502019 @default.
• W2046043350 countsByYear W20460433502020 @default.
• W2046043350 countsByYear W20460433502021 @default.
• W2046043350 countsByYear W20460433502022 @default.
• W2046043350 crossrefType "journal-article" @default.
• W2046043350 hasAuthorship W2046043350A5027931249 @default.
• W2046043350 hasBestOaLocation W20460433502 @default.
• W2046043350 hasConcept C105795698 @default.
• W2046043350 hasConcept C114614502 @default.
• W2046043350 hasConcept C115903868 @default.
• W2046043350 hasConcept C121332964 @default.
• W2046043350 hasConcept C121864883 @default.
• W2046043350 hasConcept C134306372 @default.
• W2046043350 hasConcept C139807058 @default.
• W2046043350 hasConcept C151376022 @default.
• W2046043350 hasConcept C169760540 @default.
• W2046043350 hasConcept C2778067643 @default.
• W2046043350 hasConcept C2781390188 @default.
• W2046043350 hasConcept C2909946758 @default.
• W2046043350 hasConcept C33923547 @default.
• W2046043350 hasConcept C41008148 @default.
• W2046043350 hasConcept C5297727 @default.
• W2046043350 hasConcept C75235859 @default.
• W2046043350 hasConcept C86803240 @default.
• W2046043350 hasConcept C98763669 @default.
• W2046043350 hasConceptScore W2046043350C105795698 @default.
• W2046043350 hasConceptScore W2046043350C114614502 @default.
• W2046043350 hasConceptScore W2046043350C115903868 @default.
• W2046043350 hasConceptScore W2046043350C121332964 @default.
• W2046043350 hasConceptScore W2046043350C121864883 @default.
• W2046043350 hasConceptScore W2046043350C134306372 @default.
• W2046043350 hasConceptScore W2046043350C139807058 @default.
• W2046043350 hasConceptScore W2046043350C151376022 @default.
• W2046043350 hasConceptScore W2046043350C169760540 @default.
• W2046043350 hasConceptScore W2046043350C2778067643 @default.
• W2046043350 hasConceptScore W2046043350C2781390188 @default.
• W2046043350 hasConceptScore W2046043350C2909946758 @default.
• W2046043350 hasConceptScore W2046043350C33923547 @default.
• W2046043350 hasConceptScore W2046043350C41008148 @default.
• W2046043350 hasConceptScore W2046043350C5297727 @default.
• W2046043350 hasConceptScore W2046043350C75235859 @default.

• next