Dynamic Causal Modelling (DCM) is an approach first introduced for the analysis of functional magnetic resonance imaging (fMRI) to quantify effective connectivity between brain areas. Recently, this framework has been extended and established in the magneto/encephalography (M/EEG) domain. DCM for M...
In recent years, Dynamic Causal Modeling (DCM) has become a very popular method in the field of effective connectivity measurement of the brain and it is being used widely for different purposes. The only software available that has embedded this algorithm is Statistical Parametric Mapping (SPM) ...
Machine learning modeling Phase signatures Firing probability versus beta oscillation phase histograms were computed for individual LH and VTA cells using the spikes fired during 2 s before transition to F, S and E separately for each behavior for control or behavior epochs of the same duration....
The design, dynamic modeling and tracking control of this novel mobile manipulator is discussed in this chapter for the first time. This chapter aims at achieving three different types of trajectory tracking control tasks for a) wheels, b) first or second arm and c) wheels and one of the ...
dynamic causal modeling, and transfer entropy, two issues need to be highlighted. First, at present no (validated) methods exist that can extend causal network analysis, controlling for hemodynamic confounds, to the whole-brain level, spanning 350 or more anatomically distinct regions, due to the...
or latent variable modeling was used to model the overall creativity score. Notably, the precise scoring methods for creativity varied across different centers, encompassing measures of originality or the sum of originality and fluency (for more details on measurements and scoring, seeSupplementary Datas...
Fast computation: although the global solver eSS is implemented in Matlab, the integration of the initial value problem is done in C in order to speed-up the computations up to 2 orders of magnitude. Robust default tuning: metaheuristics require the user to set a number of search parameter va...
In the digital era, new socially shared realities and norms emerge rapidly, whether they are beneficial or harmful to our societies. Although these are emerging properties from dynamic interaction, most research has centered on static situations where is
or latent variable modeling was used to model the overall creativity score. Notably, the precise scoring methods for creativity varied across different centers, encompassing measures of originality or the sum of originality and fluency (for more details on measurements and scoring, seeSupplementary Datas...
and modeling. We found that the structure and dynamics of neural activity in DMFC track the moment-by-moment estimate of the position of a moving ball regardless of variations in the kinematics during both visual and occluded epochs of the task, consistent with the mental simulation hypothesis. ...