Adaptive Gaussian Markov Random Fields with Applications in Human Brain Mapping [PDF]
, 2005 Functional magnetic resonance imaging (fMRI) has become the standard technology in human brain mapping. Analyses of the massive spatio-temporal fMRI data sets often focus on parametric or nonparametric modeling of the temporal component, while spatial ...
Brezger, Andreas +2 more
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Precision and the Bayesian brain [PDF]
, 2021 In this Primer, Daniel Yon and Chris Frith explain ‘precision’ – a key concept in Bayesian models of the mind and brain. The idea of precision is central to current thinking across the cognitive sciences, but in recent years ideas about precision have ...
Chris D. Frith +3 more
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Bayesian Methods in Brain Connectivity Change Point Detection with EEG Data and Genetic Algorithm [PDF]
, 2019 Human brain is processing a great amount of information everyday, and our brain regions are organized optimally for this information processing. There have been increasing number of studies focusing on functional or effective connectivity in human brain ...
Liu, Bing
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To integrate or not to integrate: Temporal dynamics of hierarchical Bayesian causal inference.
PLoS Biology, 2019 To form a percept of the environment, the brain needs to solve the binding problem-inferring whether signals come from a common cause and are integrated or come from independent causes and are segregated.
Máté Aller, Uta Noppeney
doaj +1 more source
Bayesian multi-modal model comparison: a case study on the generators of the spike and the wave in generalized spike–wave complexes [PDF]
, 2010 We present a novel approach to assess the networks involved in the generation of spontaneous pathological brain activity based on multi-modal imaging data.
Lemieux, L. +8 more
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Human’s Intuitive Mental Models as a Source of Realistic Artificial Intelligence and Engineering
Frontiers in Psychology, 2022 Despite the success of artificial intelligence (AI), we are still far away from AI that model the world as humans do. This study focuses for explaining human behavior from intuitive mental models’ perspectives.
Jyrki Suomala, Janne Kauttonen
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White matter damage and cognitive impairment after traumatic brain injury [PDF]
, 2010 White matter disruption is an important determinant of cognitive impairment after brain injury, but conventional neuroimaging underestimates its extent.
Powell, Jane Hilary +33 more
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Real-time Bayesian control of reactive brain computer interfaces [PDF]
, 2023 This paper introduces an improved method for real-time brain computer interface control. We demonstrate how Bayesian optimization and feedback can be used to achieve faster statistical convergence by controlling the sequence of stimuli shown in a brain ...
Gemborn Nilsson, Martin +8 more
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fMRI activation detection with EEG priors [PDF]
, 2013 The purpose of brain mapping techniques is to advance the understanding of the relationship between structure and function in the human brain in so-called activation studies.
Sämann, Philipp +3 more
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Comparing families of dynamic causal models [PDF]
, 2010 Mathematical models of scientific data can be formally compared using Bayesian model evidence. Previous applications in the biological sciences have mainly focussed on model selection in which one first selects the model with the highest evidence and ...
Stephan, Klaas E +46 more
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