Matches in SemOpenAlex for { <https://semopenalex.org/work/W3036828305> ?p ?o ?g. }
- W3036828305 endingPage "1011" @default.
- W3036828305 startingPage "1011" @default.
- W3036828305 abstract "Power spectra of spike trains reveal important properties of neuronal behavior. They exhibit several peaks, whose shape and position depend on applied stimuli and intrinsic biophysical properties, such as input current density and channel noise. The position of the spectral peaks in the frequency domain is not straightforwardly predictable from statistical averages of the interspike intervals, especially when stochastic behavior prevails. In this work, we provide a model for the neuronal power spectrum, obtained from Discrete Fourier Transform and expressed as a series of expected value of sinusoidal terms. The first term of the series allows us to estimate the frequencies of the spectral peaks to a maximum error of a few Hz, and to interpret why they are not harmonics of the first peak frequency. Thus, the simple expression of the proposed power spectral density (PSD) model makes it a powerful interpretative tool of PSD shape, and also useful for neurophysiological studies aimed at extracting information on neuronal behavior from spike train spectra." @default.
- W3036828305 created "2020-06-25" @default.
- W3036828305 creator A5019854095 @default.
- W3036828305 creator A5062218114 @default.
- W3036828305 creator A5065331637 @default.
- W3036828305 creator A5090643684 @default.
- W3036828305 date "2020-06-20" @default.
- W3036828305 modified "2023-10-14" @default.
- W3036828305 title "Revealing Spectrum Features of Stochastic Neuron Spike Trains" @default.
- W3036828305 cites W1538379304 @default.
- W3036828305 cites W1571644782 @default.
- W3036828305 cites W1703226452 @default.
- W3036828305 cites W1966588368 @default.
- W3036828305 cites W1971123606 @default.
- W3036828305 cites W1982491809 @default.
- W3036828305 cites W1984930567 @default.
- W3036828305 cites W2001516747 @default.
- W3036828305 cites W2004993065 @default.
- W3036828305 cites W2007098958 @default.
- W3036828305 cites W2017224289 @default.
- W3036828305 cites W2022432119 @default.
- W3036828305 cites W2024684728 @default.
- W3036828305 cites W2033905848 @default.
- W3036828305 cites W2048470013 @default.
- W3036828305 cites W2057213277 @default.
- W3036828305 cites W2062899906 @default.
- W3036828305 cites W2067393309 @default.
- W3036828305 cites W2067453159 @default.
- W3036828305 cites W2068063087 @default.
- W3036828305 cites W2072184454 @default.
- W3036828305 cites W2074686798 @default.
- W3036828305 cites W2076964542 @default.
- W3036828305 cites W2081033522 @default.
- W3036828305 cites W2092652991 @default.
- W3036828305 cites W2097752919 @default.
- W3036828305 cites W2103095998 @default.
- W3036828305 cites W2106005701 @default.
- W3036828305 cites W2124398758 @default.
- W3036828305 cites W2127389037 @default.
- W3036828305 cites W2131695829 @default.
- W3036828305 cites W2142875089 @default.
- W3036828305 cites W2149618862 @default.
- W3036828305 cites W2157513335 @default.
- W3036828305 cites W2165416206 @default.
- W3036828305 cites W2323168548 @default.
- W3036828305 cites W2539433156 @default.
- W3036828305 cites W2729732240 @default.
- W3036828305 cites W2793156700 @default.
- W3036828305 cites W2895236491 @default.
- W3036828305 cites W2972638348 @default.
- W3036828305 cites W2981856641 @default.
- W3036828305 cites W3101521715 @default.
- W3036828305 cites W4211019631 @default.
- W3036828305 doi "https://doi.org/10.3390/math8061011" @default.
- W3036828305 hasPublicationYear "2020" @default.
- W3036828305 type Work @default.
- W3036828305 sameAs 3036828305 @default.
- W3036828305 citedByCount "7" @default.
- W3036828305 countsByYear W30368283052021 @default.
- W3036828305 countsByYear W30368283052022 @default.
- W3036828305 countsByYear W30368283052023 @default.
- W3036828305 crossrefType "journal-article" @default.
- W3036828305 hasAuthorship W3036828305A5019854095 @default.
- W3036828305 hasAuthorship W3036828305A5062218114 @default.
- W3036828305 hasAuthorship W3036828305A5065331637 @default.
- W3036828305 hasAuthorship W3036828305A5090643684 @default.
- W3036828305 hasBestOaLocation W30368283051 @default.
- W3036828305 hasConcept C10138342 @default.
- W3036828305 hasConcept C102519508 @default.
- W3036828305 hasConcept C105795698 @default.
- W3036828305 hasConcept C115903868 @default.
- W3036828305 hasConcept C115961682 @default.
- W3036828305 hasConcept C121332964 @default.
- W3036828305 hasConcept C121864883 @default.
- W3036828305 hasConcept C1276947 @default.
- W3036828305 hasConcept C127934551 @default.
- W3036828305 hasConcept C134306372 @default.
- W3036828305 hasConcept C143724316 @default.
- W3036828305 hasConcept C151730666 @default.
- W3036828305 hasConcept C152478114 @default.
- W3036828305 hasConcept C152822103 @default.
- W3036828305 hasConcept C154945302 @default.
- W3036828305 hasConcept C162324750 @default.
- W3036828305 hasConcept C163258240 @default.
- W3036828305 hasConcept C165801399 @default.
- W3036828305 hasConcept C168110828 @default.
- W3036828305 hasConcept C169760540 @default.
- W3036828305 hasConcept C186060115 @default.
- W3036828305 hasConcept C188414643 @default.
- W3036828305 hasConcept C19118579 @default.
- W3036828305 hasConcept C198082294 @default.
- W3036828305 hasConcept C24890656 @default.
- W3036828305 hasConcept C2781390188 @default.
- W3036828305 hasConcept C33923547 @default.
- W3036828305 hasConcept C41008148 @default.
- W3036828305 hasConcept C4839761 @default.
- W3036828305 hasConcept C62520636 @default.
- W3036828305 hasConcept C76155785 @default.