[PDF] Top 20 Dynamic causal modelling for fmri: A two-state model
Has 10000 "Dynamic causal modelling for fmri: A two-state model" found on our website. Below are the top 20 most common "Dynamic causal modelling for fmri: A two-state model".
Dynamic causal modelling for fmri: A two-state model
... the two subpopulations, ...our model into the class described by Wilson and Cowan ...for fMRI closer to those being developed for EEG and ...whether fMRI data can inform such neural mass ... See full document
10
Dynamic causal modelling on infant fNIRS data: A validation study on a simultaneously recorded fNIRS fMRI dataset
... with fMRI - allows us to test infants and toddlers while they are awake and relatively free to move, and so to explore how brain areas differentially respond to cognitive and social ... See full document
13
Dynamic causal modelling of effective connectivity during perspective taking in a communicative task
... fMRI data were analysed using Statistical Parametric Mapping (SPM8 for the GLM and SPM12a for DCM, www.fil.ion.ucl.ac.uk/spm8). Detailed methods of the preprocessing and General Linear Model (GLM) analysis ... See full document
42
Searching Multiregression Dynamic Models of Resting-State fMRI Networks Using Integer Programming
... Multiregression Dynamic Model (MDM) is a class of multivariate time series that represents various dynamic causal processes in a graphical ...other Dynamic Bayesian Networks, the ... See full document
39
Modelling the impact of acid deposition on forest soils in North Bohemian Mountains with two dynamic models: the Very Simple Dynamic Model (VSD) and the Model of Acidification of Groundwater in Catchments (MAGIC)
... last two decades, after political changes in Central Europe, and consequently thanks to flue gas desulphurization, reduction of sulphur and nitrogen emissions led to a large decrease in deposition of acidifying ... See full document
9
Linking canonical microcircuits and neuronal activity: Dynamic causal modelling of laminar recordings
... these two classes of models operate at di ff erent scales, it is relatively straightforward to create neural mass models of ensemble activity that are equipped with priors obtained after fi tting data generated by ... See full document
13
Model-Based Diagnosis of Hybrid Systems Using Satisfiability Modulo Theory
... novel model-based diagnosis approach for automatically diagnosing hybrid ...has two parts: First, modelling dynamic system behaviour is done through well-known state space models using ... See full document
8
Dynamic Model for the Stress and Strain State Analysis of a Spur Gear Transmission
... the modelling of noise in geared transmission. In the last two decades there is plenty of work has been concentrating on modelling of the dynamic transmission error for spur and helical gears ... See full document
12
Padé Approximation Modelling of an Advertising Sales Relationship
... first model for the Lydia Pinkham advertising-sales for the period 1907–1960 involving the TF models method was proposed by [10], which assumed a unidi- rectional causal dynamic relationship from ... See full document
7
Dynamic causal modelling of eye movements during pursuit: Confirming precision-encoding in V1 using MEG
... our model space we used a 2x2x2x2 factorial design looking at two types of connections – forward and in- trinsic – in the upper (V5) and lower (V1/V2) levels of the visual hierar- chy ...This model ... See full document
16
Dynamic modelling of weathering rates – the benefit over steady-state modelling
... PROFILE model and the ForSAFE model are known to overestimate weathering in the lower soil layers (Stendahl et ...the modelling presented in this paper only a few centime- tres of the C horizon are ... See full document
15
Modelling and analysis of the dynamics of adaptive temporal–causal network models for evolving social interactions
... Network-Oriented Modelling approach based on adaptive temporal–causal net- works, as described here (see also [1, 10]), provides a dynamic modelling approach that enables a modeller to design ... See full document
20
Assessment of synchronous neural activities revealed by regional homogeneity in individuals with acute eye pain: a resting-state functional magnetic resonance imaging study
... mean fMRI data, and then the resulting aligned T1-weighted images were segmented using the diffeomorphic anatomical registration through the exponentiated Lie algebra toolbox for improving spatial precision in ... See full document
8
Inferring causal relations by modelling structures
... Except most probably for the criterion of temporality (see Wunsch, Russo and Mouchart, 2010), all the other criteria suffer from exceptions and reservations (see Rothman and Greenland, op. cit.). For example, an ... See full document
22
Modelling the effect of religion on human empathy based on an adaptive temporal–causal network model
... This two-sided aspect also comes forward in the study by [10] that was mentioned in “Literature overview” section, where partici- pants either had to think about or pray for a person that angered ...prayer ... See full document
23
Application of causal model to maternal smoking cessation intervention in pregnancy
... professional causal modelling approach to make a more compre- hensive assessment of major determinants of smoking behaviour during and after pregnancy and consequently the outcomes of pregnant women smoking ... See full document
8
Sustainability and the global biogeochemical cycles : integrated modelling of coupled economic and environmental systems : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Ecological Economics at Massey University, Manawatu, New Zealand
... Dynamic Global Biogeochemical Cycling Model 232 Table 9.1 Key Inputs for the Global Orchestration and TechnoGarden Scenarios 272 Table 10.1 Current Limitations of the Dynamic Models/ Topics for ... See full document
23
Assessing causal relationships between construction resources and cost overrun using PLS path modelling focusing in southern and central region of Malaysia
... According to (Fornell & Larcker, 1981) as cited by (Aibinu & Al-Lawati, 2010; Akter, Ambra, & Ray, 2011) AVE for each construct should be higher than 0.5. This means that at least 50% of measurement variance ... See full document
11
Least Squares Matrix Algorithm for State Space Modelling of Dynamic Systems
... using state-space ...The state transition matrix is updated without the use of any forgetting ...of model pa- rameters in the presence of ...the state transition matrix enables feasible ... See full document
5
A two dimensional non equilibrium dynamic model
... The literature on EBC has gained an important new breath with the model by Christiano and Harrison (1999), who proved the existence of chaos in a standard deterministic RBC model with production ... See full document
43
Related subjects