Results 21 to 30 of about 55,363 (118)

Single Trial Decoding of Belief Decision Making from EEG and fMRI Data Using ICA Features

Frontiers in Human Neuroscience, 2013
The complex task of assessing the veracity of a statement is thought to activate uniquely distributed brain regions based on whether a subject believes or disbelieves a given assertion.
Pamela eDouglas, Edward eLau, Ariana eAnderson, Wesley eKerr, Austin eHead, Margalit Aliza Wollner, Daniel eMoyer, Michael eDurnhofer, Wei eLi, Jen eBramen, Mark S Cohen   +10 more
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Improving the Sensitivity of Task-Related Functional Magnetic Resonance Imaging Data Using Generalized Canonical Correlation Analysis

Frontiers in Human Neuroscience, 2021
General Linear Modeling (GLM) is the most commonly used method for signal detection in Functional Magnetic Resonance Imaging (fMRI) experiments, despite its main limitation of not taking into consideration common spatial dependencies between voxels ...
Emmanouela Kosteletou, Panagiotis G. Simos, Panagiotis G. Simos, Eleftherios Kavroulakis, Despina Antypa, Thomas G. Maris, Athanasios P. Liavas, Paris A. Karakasis, Efrosini Papadaki, Efrosini Papadaki   +9 more
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Using the General Linear Model to Improve Performance in fNIRS Single Trial Analysis and Classification: A Perspective

Frontiers in Human Neuroscience, 2020
Within a decade, single trial analysis of functional Near Infrared Spectroscopy (fNIRS) signals has gained significant momentum, and fNIRS joined the set of modalities frequently used for active and passive Brain Computer Interfaces (BCI).
Alexander von Lühmann, Alexander von Lühmann, Antonio Ortega-Martinez, David A. Boas, Meryem Ayşe Yücel   +4 more
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Dual processing streams in chemosensory perception

Frontiers in Human Neuroscience, 2012
Higher order sensory processing follows a general subdivision into a ventral and a dorsal stream for visual, auditory, and tactile information. Object identification is processed in temporal structures (ventral stream), whereas object localization leads ...
Johannes eFrasnelli, Johannes eFrasnelli, Johan N Lundström, Johan N Lundström, Veronika eSchöpf, Simona eNegoias, Thomas eHummel, Franco eLepore   +7 more
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Two-step paretial least square regression classifiers in brain-state decoding using functional magnetic resonance imaging.

PLoS ONE, 2019
Multivariate analysis methods have been widely applied to decode brain states from functional magnetic resonance imaging (fMRI) data. Among various multivariate analysis methods, partial least squares regression (PLSR) is often used to select relevant ...
Zhiying Long, Yubao Wang, Xuanping Liu, Li Yao   +3 more
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A New SDIMSIM Methods with Optimized Region of Stability and Sustainable Development with Applications On Neutrosophic Data [PDF]

Neutrosophic Sets and Systems
General Linear Methods (GLMs) were introduced as logical extensions of the conventional Runge–Kutta and linear multistep methods. In the scenario when second derivatives, in addition to first derivatives, can be computed, a GLM modification known as ...
A.Y. J. Almasoodi, Mohammed Kadhim Mohsin, Sarah A.AL-Ameedee, Mohammed Amer Shanyoor   +3 more
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The Finite Mode Predictor-Corrector Methods in the Framework of General Linear Methods

پژوهش‌های ریاضی, 2020
Introduction General linear methods(GLM) was developed by Butcher in 1966 as an extension of the traditional Runge-Kutta and linear multistep methods [1]. The classification of GLMs is an important open and active research area. Many authors studied GLMs
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A novel technique for delineating the effect of variation in the learning rate on the neural correlates of reward prediction errors in model-based fMRI

Frontiers in Psychology, 2023
IntroductionComputational models play an increasingly important role in describing variation in neural activation in human neuroimaging experiments, including evaluating individual differences in the context of psychiatric neuroimaging.
Henry W. Chase
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Pattern of cortical thinning in logopenic progressive aphasia patients in Thailand

BMC Neurology, 2021
Background Logopenic progressive aphasia (LPA) is an uncommon neurodegenerative disorder primarily characterized by word-finding difficulties and sentence repetition impairment.
Sekh Thanprasertsuk, Yuttachai Likitjaroen   +1 more
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An Interpretable Two-Phase Modeling Approach for Lung Cancer Survivability Prediction

Sensors, 2022
Although lung cancer survival status and survival length predictions have primarily been studied individually, a scheme that leverages both fields in an interpretable way for physicians remains elusive. We propose a two-phase data analytic framework that
Zahra Sedighi-Maman, Jonathan J. Heath
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