Results 31 to 40 of about 5,911,579 (291)

A novel extended Granger Causal model approach demonstrates brain hemispheric differences during face recognition learning [PDF]

, 2009
Two main approaches in exploring causal relationships in biological systems using time-series data are the application of Dynamic Causal model (DCM) and Granger Causal model (GCM).
Kendrick Keith M., Feng, Jianfeng, Jianfeng Feng, Kendrick, Keith M., Ge Tian, Ge, Tian, Keith M Kendrick, Tian Ge, Feng Jianfeng   +8 more
core   +2 more sources

Neuropharmacological computational analysis of longitudinal electroencephalograms in clozapine-treated patients with schizophrenia using hierarchical dynamic causal modeling

, 2023
Neuropharmacological computational analysis of longitudinal electroencephalograms in clozapine-treated patients with schizophrenia using hierarchical dynamic causal modeling. In this, we only opend preprocessed eeg data of SI-H group. 
Tak Youn, Jiyoung Kang (11876417), Tak Youn (14620346), Hae-Jeong Park, Jinseok Eo (11592693), Jiyoung Kang, Hae-Jeong Park (14614481), Jinseok Eo   +7 more
core   +1 more source

Missing Data Estimation in FMRI Dynamic Causal Modeling

Frontiers in Neuroscience, 2014
Dynamic Causal Modeling (DCM) can be used to quantify cognitive function in individuals as effective connectivity. However, ambiguity among subjects in the number and location of discernible active regions prevents all candidate models from being ...
Shaza eZaghlool, Christopher eWyatt
doaj   +1 more source

y0-causal-inference/y0 v0.0.2

, 2021
Causal modeling in ...
Marc-Antoine Parent, Charles Tapley Hoyt
core   +1 more source

Nonlinear dynamic causal models for fMRI [PDF]

NeuroImage, 2008
Models of effective connectivity characterize the influence that neuronal populations exert over each other. Additionally, some approaches, for example Dynamic Causal Modelling (DCM) and variants of Structural Equation Modelling, describe how effective connectivity is modulated by experimental manipulations.
Stephan, K.E., Kasper, L., Harrison, L.M., Daunizeau, J., den Ouden, H.E.M., den Ouden, H.E.M., Breakspear, M., Friston, K.J.   +7 more
openaire   +7 more sources

Approaches to Cognitive Modeling in Dynamic Systems Control

Frontiers in Psychology, 2017
Much of human decision making occurs in dynamic situations where decision makers have to control a number of interrelated elements (dynamic systems control).
Daniel V. Holt, Magda Osman
doaj   +1 more source

Neural networks underlying emotion regulation in social anxiety disorder – a dynamic causal modeling approach

, 2023
Statistical Analysis Plan (SAP) As part of the larger TIP project, 61 SAD patients and 41 healthy controls underwent an emotion regulation task with negative and neutral faces during fMRI scanning. We will use dynamic causal modeling (DCM) to shed light
Ben Harrison, Elisabeth Leehr, Alec J. Jamieson, Elisabeth Schrammen   +3 more
core   +1 more source

Dynamic causal modelling revisited

NeuroImage, 2019
NeuroImage ...
Karl J. Friston, Katrin H. Preller, Christoph Mathys, Hayriye Cagnan, Jakob Heinzle, Adeel Razi, Peter Zeidman   +6 more
openaire   +6 more sources

Causal set dynamics: a toy model [PDF]

Classical and Quantum Gravity, 1999
We construct a quantum measure on the power set of non-cyclic oriented graphs of N points, drawing inspiration from 1-dimensional directed percolation. Quantum interference patterns lead to properties which do not appear to have any analogue in classical percolation.
Criscuolo, A., Waelbroeck, H.
openaire   +2 more sources

Dynamic Causal Modelling of Hierarchical Planning

NeuroImage, 2022
Hierarchical planning (HP) is a strategy that optimizes the planning by storing the steps towards the goal (lower-level planning) into subgoals (higher-level planning). In the framework of model-based reinforcement learning, HP requires the computation through the transition value between higher-level hierarchies.
Qunjun Liang, Jinhui Li, Senning Zheng, Jiajun Liao, Ruiwang Huang   +4 more
openaire   +3 more sources