Results 41 to 50 of about 5,911,579 (291)

Modeling dynamic reliability using dynamic Bayesian networks [PDF]

, 2006
This paper considers the problem of modeling and analyzing the reliability of a system or a component (system) where the state of the system and the state of process variables influences each other in addition to an exogenous perturbation influence: this
Noyes, Daniel, Tchangani, Ayeley
core   +1 more source

EEG-Based Quantification of Cortical Current Density and Dynamic Causal Connectivity Generalized across Subjects Performing BCI-Monitored Cognitive Tasks

Frontiers in Neuroscience, 2017
Quantification of dynamic causal interactions among brain regions constitutes an important component of conducting research and developing applications in experimental and translational neuroscience.
Hristos Courellis, Hristos Courellis, Tim Mullen, Howard Poizner, Gert Cauwenberghs, Gert Cauwenberghs, John R. Iversen   +6 more
doaj   +1 more source

Dynamic causal modelling of COVID-19

Wellcome Open Research, 2020
This technical report describes a dynamic causal model of the spread of coronavirus through a population. The model is based upon ensemble or population dynamics that generate outcomes, like new cases and deaths over time. The purpose of this model is to quantify the uncertainty that attends predictions of relevant outcomes.
Karl J. Friston, Thomas Parr, Peter Zeidman, Adeel Razi, Guillaume Flandin, Jean Daunizeau, Ollie J. Hulme, Alexander J. Billig, Vladimir Litvak, Rosalyn J. Moran, Cathy J. Price, Christian Lambert   +11 more
openaire   +4 more sources

Optimizing Data for Modeling Neuronal Responses

Frontiers in Neuroscience, 2019
In this technical note, we address an unresolved challenge in neuroimaging statistics: how to determine which of several datasets is the best for inferring neuronal responses.
Peter Zeidman, Samira M. Kazan, Nick Todd, Nikolaus Weiskopf, Nikolaus Weiskopf, Karl J. Friston, Martina F. Callaghan   +6 more
doaj   +1 more source

Causal Modeling for Fairness in Dynamical Systems

CoRR, 2019
In many application areas---lending, education, and online recommenders, for example---fairness and equity concerns emerge when a machine learning system interacts with a dynamically changing environment to produce both immediate and long-term effects for individuals and demographic groups. We discuss causal directed acyclic graphs (DAGs) as a unifying
Elliot Creager, David Madras, Toniann Pitassi, Richard S. Zemel   +3 more
openaire   +3 more sources

The mixed serotonin receptor agonist psilocybin reduces threat-induced modulation of amygdala connectivity

NeuroImage: Clinical, 2016
Stimulation of serotonergic neurotransmission by psilocybin has been shown to shift emotional biases away from negative towards positive stimuli. We have recently shown that reduced amygdala activity during threat processing might underlie psilocybin's ...
Rainer Kraehenmann, André Schmidt, Karl Friston, Katrin H. Preller, Erich Seifritz, Franz X. Vollenweider   +5 more
doaj   +1 more source

Dynamic Modeling

, 2020
Dynamic modeling is a valuable technique used to understand different systems on a temporal basis. This approach resulted in a more practical, intuitive endeavor modeling.
Sveriges lantbruksuniversitet., Ahmed, Mukhtar,   +1 more
core   +1 more source

Cerebello-Cortical Differences in Effective Connectivity of the Dominant and Non-dominant Hand during a Visuomotor Paradigm of Grip Force Control

Frontiers in Human Neuroscience, 2017
Structural and functional differences are known to exist within the cortical sensorimotor networks with respect to the dominant vs. non-dominant hand.
Eric Moulton, Cécile Galléa, Claire Kemlin, Romain Valabregue, Marc A. Maier, Marc A. Maier, Pavel Lindberg, Pavel Lindberg, Charlotte Rosso, Charlotte Rosso   +9 more
doaj   +1 more source

Dynamic causal modelling of induced responses [PDF]

NeuroImage, 2008
This paper describes a dynamic causal model (DCM) for induced or spectral responses as measured with the electroencephalogram (EEG) or the magnetoencephalogram (MEG). We model the time-varying power, over a range of frequencies, as the response of a distributed system of coupled electromagnetic sources to a spectral perturbation.
Chun-Chuan Chen, Stefan J. Kiebel, Karl J. Friston   +2 more
openaire   +4 more sources

Dynamic staged trees for discrete multivariate time series : forecasting, model selection and causal analysis [PDF]

, 2010
A new tree-based graphical model — the dynamic staged tree — is used to model discrete-valued discrete-time multivariate processes which are hypothesised to exhibit certain symmetries concerning how situations might unfold.
Smith, JQ, Freeman, G, Jim Q. Smith, Freeman, Guy, Smith, J. Q., Guy Freeman   +5 more
core   +1 more source