Results 31 to 40 of about 2,095,528 (293)
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 +34 more
core +1 more source
Bayesian nonparametric method for genetic dissection of brain activation region
Frontiers in Neuroscience, 2023 Biological evidence indicewates that the brain atrophy can be involved at the onset of neuropathological pathways of Alzheimer's disease. However, there is lack of formal statistical methods to perform genetic dissection of brain activation phenotypes ...
Zhuxuan Jin +3 more
doaj +1 more source
Bayesian mapping of brain regions using compound Markov random field priors [PDF]
, 2003 Human brain mapping, i.e. the detection of functional regions and their connections, has experienced enormous progress through the use of functional magnetic resonance imaging (fMRI).
Gössl, Christoff +2 more
core +1 more source
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
Approximate Bayesian Inference Based on Expected Evaluations [PDF]
, 2023 Approximate Bayesian computing (ABC) and Bayesian Synthetic likelihood (BSL) are two popular families of methods to evaluate the posterior distribution when the likelihood function is not available or tractable.
Hammer, Hugo Lewi, Riegler, Michael
core
Epistemic Irrationality in the Bayesian Brain
The British Journal for the Philosophy of Science, 2021 A large body of research in cognitive psychology and neuroscience draws on Bayesian statistics to model information processing within the brain. Many theorists have noted that this research seems to be in tension with a large body of experimental results purportedly documenting systematic deviations from Bayesian updating in human belief formation.
openaire +3 more sources
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
core +1 more source
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
doaj +1 more source
Bayesian artificial brain with ChatGPT
CoRR, 2023 This paper aims to investigate the mathematical problem-solving capabilities of Chat Generative Pre-Trained Transformer (ChatGPT) in case of Bayesian reasoning. The study draws inspiration from Zhu & Gigerenzer's research in 2006, which posed the question: Can children reason the Bayesian way?
openaire +3 more sources
Bayesian inference of structural brain networks [PDF]
NeuroImage, 2013 Structural brain networks are used to model white-matter connectivity between spatially segregated brain regions. The presence, location and orientation of these white matter tracts can be derived using diffusion-weighted magnetic resonance imaging in combination with probabilistic tractography. Unfortunately, as of yet, none of the existing approaches
Max Hinne +3 more
openaire +6 more sources