Results 21 to 30 of about 2,095,528 (293)
Bayesian decoding of brain images [PDF]
NeuroImage, 2008 This paper introduces a multivariate Bayesian (MVB) scheme to decode or recognise brain states from neuroimages. It resolves the ill-posed many-to-one mapping, from voxel values or data features to a target variable, using a parametric empirical or hierarchical Bayesian model.
Karl J. Friston +6 more
openaire +3 more sources
Spatial 3D Matérn Priors for Fast Whole-Brain fMRI Analysis
, 2021 Bayesian whole-brain functional magnetic resonance imaging (fMRI) analysis with three-dimensional spatial smoothing priors has been shown to produce state-of-the-art activity maps without pre-smoothing the data.
Lindgren, Finn, +9 more
core +1 more source
Bayesian Approximations to Hidden Semi-Markov Models for Telemetric Monitoring of Physical Activity [PDF]
, 2022 We propose a Bayesian hidden Markov model for analyzing time series and sequential data where a special structure of the transition probability matrix is embedded to model explicit-duration semi-Markovian dynamics.
Fiecas, Mark +2 more
core +1 more source
Probabilistic Biases Meet the Bayesian Brain [PDF]
Current Directions in Psychological Science, 2020 In Bayesian cognitive science, the mind is seen as a spectacular probabilistic-inference machine. But judgment and decision-making (JDM) researchers have spent half a century uncovering how dramatically and systematically people depart from rational norms.
Chater, Nick +5 more
openaire +1 more source
Searching multiregression dynamic models of resting-state fMRI networks using integer programming [PDF]
, 2015 A Multiregression Dynamic Model (MDM) is a class of multivariate time series that represents various dynamic causal processes in a graphical way. One of the advantages of this class is that, in contrast to many other Dynamic Bayesian Networks, the ...
Smith, Jim +9 more
core +1 more source
A Bayesian Account of Psychopathy: A Model of Lacks Remorse and Self-Aggrandizing
Computational Psychiatry, 2018 This article proposes a formal model that integrates cognitive and psychodynamic psychotherapeutic models of psychopathy to show how two major psychopathic traits called 'lacks remorse' and 'self-aggrandizing' can be understood as a form of abnormal ...
Aaron Prosser +3 more
doaj +1 more source
Empirical Bayesian localization of event-related time-frequency neural activity dynamics
NeuroImage, 2022 Accurate reconstruction of the spatio-temporal dynamics of event-related cortical oscillations across human brain regions is an important problem in functional brain imaging and human cognitive neuroscience with magnetoencephalography (MEG) and ...
Chang Cai +6 more
doaj +1 more source
NeuroImage, 2020 Despite the importance and frequent use of Bayesian frameworks in brain network modeling for parameter inference and model prediction, the advanced sampling algorithms implemented in probabilistic programming languages to overcome the inference ...
M. Hashemi +6 more
doaj +1 more source
Bayesian Approach to Psychotherapy Integration: Strategic Modification of Priors
Frontiers in Psychology, 2019 Integrative psychotherapies have become the mainstay in mental health care. The most researched therapy, CBT, being integrative itself, continues to integrate such new elements as mindfulness, spirituality, and experiential techniques.
Valery Krupnik
doaj +1 more source
Efficient utility-based clustering over high dimensional partition spaces [PDF]
, 2009 Because of the huge number of partitions of even a moderately sized dataset, even when Bayes factors have a closed form, in model-based clustering a comprehensive search for the highest scoring (MAP) partition is usually impossible.
Smith, JQ +9 more
core +1 more source