Causal modeling in impulsive systems: A new rigorous non-standard analysis approach
Sign Up to like & getrecommendations! Published in 2017 at "Nonlinear Analysis: Hybrid Systems"
DOI: 10.1016/j.nahs.2017.01.007
Abstract: Abstract A new approach for modeling nonlinear impulsive system is suggested based on nonstandard analysis. Basic properties of the hyperreals in nonstandard analysis are revisited. Depending on the convergence rate of infinitesimals in hyperreals, a… read more here.
Keywords: systems new; analysis; impulsive systems; modeling impulsive ... See more keywords
Dynamic causal modeling of eye gaze processing in schizophrenia
Sign Up to like & getrecommendations! Published in 2021 at "Schizophrenia Research"
DOI: 10.1016/j.schres.2020.11.012
Abstract: BACKGROUND Abnormal eye gaze perception is related to symptoms and social functioning in schizophrenia. However, little is known about the brain network mechanisms underlying these abnormalities. Here, we employed dynamic causal modeling (DCM) of fMRI… read more here.
Keywords: eye gaze; dynamic causal; gaze processing; gaze ... See more keywords
The AXIOM approach for probabilistic and causal modeling with expert elicited inputs
Sign Up to like & getrecommendations! Published in 2019 at "Technological Forecasting and Social Change"
DOI: 10.1016/j.techfore.2018.10.006
Abstract: Expert informants can be used as the principal information source in the modeling of socio-techno-economic systems or problems to support planning, foresight and decision-making. Such modeling is theory-driven, grounded in expert judgment and understanding, and… read more here.
Keywords: probabilistic causal; causal modeling; expert; expert elicited ... See more keywords
Dynamic causal modeling of cerebello-cerebral connectivity when sequencing trait-implying actions.
Sign Up to like & getrecommendations! Published in 2022 at "Cerebral cortex"
DOI: 10.1093/cercor/bhac510
Abstract: Prior studies suggest that the cerebellum contributes to the prediction of action sequences as well as the detection of social violations. In this dynamic causal modeling study, we explored the effective connectivity of the cerebellum… read more here.
Keywords: connectivity; cerebello cerebral; causal modeling; trait ... See more keywords
Valence, Arousal, and Gender Effect on Olfactory Cortical Network Connectivity: A Study Using Dynamic Causal Modeling for EEG
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3226207
Abstract: The cortical network including the piriform (PC), orbitofrontal (OFC), and entorhinal (EC) cortices allows the complex processing of behavioral, cognitive, and context-related odor information and represents an access gate to the subcortical limbic regions. Among… read more here.
Keywords: connectivity; network; causal modeling; dynamic causal ... See more keywords
Dynamic Causal Modeling on the Identification of Interacting Networks in the Brain: A Systematic Review
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2021.3123964
Abstract: Dynamic causal modeling (DCM) has long been used to characterize effective connectivity within networks of distributed neuronal responses. Previous reviews have highlighted the understanding of the conceptual basis behind DCM and its variants from different… read more here.
Keywords: modeling identification; causal modeling; effective connectivity; dynamic causal ... See more keywords
Tinnitus Abnormal Brain Region Detection Based on Dynamic Causal Modeling and Exponential Ranking
Sign Up to like & getrecommendations! Published in 2018 at "BioMed Research International"
DOI: 10.1155/2018/8656975
Abstract: Dynamic Causal Modeling (DCM) has been extended for the analysis of electroencephalography (EEG) based on a specific biophysical and neurobiological generative model for EEG. Comparing to methods that summarize neural activities with linear relationships, the… read more here.
Keywords: dynamic causal; abnormal brain; brain region; causal modeling ... See more keywords
Causal modeling in a multi-omic setting: insights from GAW20
Sign Up to like & getrecommendations! Published in 2018 at "BMC Genetics"
DOI: 10.1186/s12863-018-0645-4
Abstract: BackgroundIncreasingly available multilayered omics data on large populations has opened exciting analytic opportunities and posed unique challenges to robust estimation of causal effects in the setting of complex disease phenotypes. The GAW20 Causal Modeling Working… read more here.
Keywords: mendelian randomization; causal effects; causal; multi omic ... See more keywords
Causal Modeling Between Workplace Productivity and Workers′ Satisfaction with Various Spaces in Office Buildings
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Asian Architecture and Building Engineering"
DOI: 10.3130/jaabe.16.409
Abstract: Office workers′ productivity might be affected by their satisfaction with not only their own workplace but also meeting area, break area and accessory spaces in and around the building. This paper investigates the relation between… read more here.
Keywords: office; productivity; workplace productivity; productivity workers ... See more keywords
Dynamic Causal Modeling Self-Connectivity Findings in the Functional Magnetic Resonance Imaging Neuropsychiatric Literature
Sign Up to like & getrecommendations! Published in 2021 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2021.636273
Abstract: Dynamic causal modeling (DCM) is a method for analyzing functional magnetic resonance imaging (fMRI) and other functional neuroimaging data that provides information about directionality of connectivity between brain regions. A review of the neuropsychiatric fMRI… read more here.
Keywords: literature; self connectivity; dynamic causal; causal modeling ... See more keywords