Results 61 to 70 of about 2,095,528 (293)
Significance, 2016 AbstractArtificial intelligence researchers have made impressive use of Bayesian inference as a means of approximating some human capabilities, which raises the question: do human judgements and decisions adhere to similar rules?
openaire +1 more source
A Hierarchical Bayesian Model for Frame Representation [PDF]
, 2010 In many signal processing problems, it is fruitful to represent the signal under study in a frame. If a probabilistic approach is adopted, it becomes then necessary to estimate the hyperparameters characterizing the probability distribution of the frame
Amel Benazza-Benyahia +9 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 +42 more
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Nature Communications, 2018 Brain activity is driven, in part, by external stimuli and demands, but internal brain states also change over time. Here, the authors use a novel Bayesian algorithm to track dynamic transitions between hidden neural states in human brain activity and to
Jalil Taghia +6 more
doaj +1 more source
Brain network analysis : separating cost from topology using cost-integration [PDF]
, 2011 A statistically principled way of conducting brain network analysis is still lacking. Comparison of different populations of brain networks is hard because topology is inherently dependent on wiring cost, where cost is defined as the number of edges in
Ed T. Bullmore +15 more
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Molecular Oncology, EarlyView.Tumour heterogeneity and clonal evolution of metastatic salivary gland cancer were evaluated in two patients with adenoid carcinoma and one patient with myoepithelial carcinoma. Radiology‐guided autopsy enabled multi‐region sampling (total samples n = 149), followed by whole‐genome sequencing and phylogenetic reconstruction (17 tumour samples, 4–7 per ...
Gerben Lassche +10 more
wiley +1 more source
Global Rather Than Vertical‐Selective Saccadic Abnormalities in Progressive Supranuclear Palsy
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To test whether vertical saccades are preferentially affected in Progressive Supranuclear Palsy (PSP). Methods PSP patients (n = 24) were compared to age‐matched controls (n = 94) and two degenerative groups (Alzheimer's disease, n = 20; Lewy body disease, n = 50).
Duy Duan Nguyen +6 more
wiley +1 more source
Dynamic models of brain imaging data and their Bayesian inversion [PDF]
, 2010 This work is about understanding the dynamics of neuronal systems, in particular with respect to brain connectivity. It addresses complex neuronal systems by looking at neuronal interactions and their causal relations.
Sousa Cardoso Costa Marreiros, A.
core
Confirmation in the Cognitive Sciences: The Problematic Case of Bayesian Models [PDF]
, 2011 Bayesian models of human learning are becoming increasingly popular in cognitive science. We argue that their purported confirmation largely relies on a methodology that depends on premises that are inconsistent with the claim that people are Bayesian ...
Danks, David +3 more
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Choroid plexus volume (CPV) has been proposed as a neuro‐immunological marker of multiple sclerosis (MS), but its relevance in myelin oligodendrocyte glycoprotein antibody–associated disease (MOGAD) remains uncertain. We analyzed CPV in 43 individuals with MOGAD, 48 with MS, and 44 healthy controls using a Bayesian Gaussian mixture modeling ...
Jae‐Won Hyun +4 more
wiley +1 more source