Results 1 to 10 of about 133,681 (240)
NeuroImage, 2023 In the last decade, fNIRS has provided a non-invasive method to investigate neural activation in developmental populations. Despite its increasing use in developmental cognitive neuroscience, there is little consistency or consensus on how to pre-process and analyse infant fNIRS data.
Filippetti, Maria Laura +4 more
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Composite symmetric general linear methods (COSY-GLMs) for the long-time integration of reversible Hamiltonian systems [PDF]
BIT Numerical Mathematics, 2018 The author constructs a class of efficient numerical integration methods for the long time integration of reversible Hamiltonian systems. The approach is based on a composition of one-step methods, yielding some symmetric general linear methods, and the primary goal is to obtain high order methods.
Terence Norton
openaire +3 more sources
Improved physiological noise regression in fNIRS: A multimodal extension of the General Linear Model using temporally embedded Canonical Correlation Analysis [PDF]
NeuroImage, 2020 For the robust estimation of evoked brain activity from functional Near-Infrared Spectroscopy (fNIRS) signals, it is crucial to reduce nuisance signals from systemic physiology and motion.
Alexander von Lühmann +4 more
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Second derivative General Linear Method in Nordsieck form
Journal of Numerical Analysis and Approximation Theory, 2019 This paper considers the construction of second derivative general linear methods (SD-GLM) from hybrid LMM and their transformation to Nordsieck GLM. How the Runge-Kutta starters for the methods can be derived are given.
Robert I. Okuonghae +1 more
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Computation, 2022 We study hybrid fuzzy differential equations (HFDEs) under the Hukuhara derivative numerically using Picard’s and the general linear method (GLM). We use trapezoidal and triangular fuzzy numbers as the initial conditions. To demonstrate the efficiency of
Saed Mallak, Basem Attili, Marah Subuh
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NeuroImage, 2023 Cerebrovascular reactivity (CVR) is a prognostic indicator of cerebrovascular health. Estimating CVR from endogenous end-tidal carbon dioxide (CO2) fluctuation and MRI signal recorded under resting state can be difficult due to the poor signal-to-noise ...
Botian Xu +5 more
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Inter-subject correlation in fMRI: method validation against stimulus-model based analysis. [PDF]
PLoS ONE, 2012 Within functional magnetic resonance imaging (fMRI), the use of the traditional general linear model (GLM) based analysis methods is often restricted to strictly controlled research setups requiring a parametric activation model.
Juha Pajula +3 more
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Identification of microsatellite markers linked to grain discoloration disease in rice genotypes [PDF]
مجله بیوتکنولوژی کشاورزی, 2020 Objective Rice grain discoloration disease is emerging as a major threat in improved and late ripening varieties in the north of Iran that deteriorates grain quality and physical properties.
Somayeh Dariush +2 more
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Boosting insights in insurance tariff plans with tree-based machine learning methods [PDF]
, 2020 Pricing actuaries typically operate within the framework of generalized linear models (GLMs). With the upswing of data analytics, our study puts focus on machine learning methods to develop full tariff plans built from both the frequency and severity of ...
Antonio, Katrien +3 more
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Remote Sensing, 2020 Gully erosion has become one of the major environmental issues, due to the severity of its impact in many parts of the world. Gully erosion directly and indirectly affects agriculture and infrastructural development.
Alireza Arabameri +6 more
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