Results 11 to 20 of about 387,199 (302)
Entropy, 2021 In theoretical biology, we are often interested in random dynamical systems—like the brain—that appear to model their environments. This can be formalized by appealing to the existence of a (possibly non-equilibrium) steady state, whose density preserves
Thomas Parr +4 more
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Stochastic Chaos and Markov Blankets [PDF]
Entropy, 2021 In this treatment of random dynamical systems, we consider the existence—and identification—of conditional independencies at nonequilibrium steady-state.
Karl Friston +4 more
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Efficient Markov Blanket Discovery and Its Application
IEEE Transactions on Cybernetics, 2017 In a Bayesian network (BN), a target node is independent of all other nodes given its Markov blanket (MB), and finding the MB has many applications, including feature selection and BN structure learning. We propose a new MB discovery algorithm, simultaneous MB (STMB), to improve the efficiency of the existing topology-based MB discovery algorithms. The
Tian Gao, Qiang Ji
exaly +4 more sources
Thoughtseeds: A Hierarchical and Agentic Framework for Investigating Thought Dynamics in Meditative States [PDF]
EntropyThe Thoughtseeds Framework introduces a novel computational approach to modeling thought dynamics in meditative states, conceptualizing thoughtseeds as dynamic attentional agents that integrate information.
Prakash Chandra Kavi +3 more
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Positive Effect of Super-Resolved Structural Magnetic Resonance Imaging for Mild Cognitive Impairment Detection [PDF]
Brain SciencesThis paper presents a novel approach to improving the detection of mild cognitive impairment (MCI) through the use of super-resolved structural magnetic resonance imaging (MRI) and optimized deep learning models.
Ovidijus Grigas +2 more
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Neuroscience & Biobehavioral Reviews, 2021 25 pages, 5 figures, 1 table ...
Inês Hipólito +5 more
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Emergent classicality in general multipartite states and channels [PDF]
Quantum, 2021 In a quantum measurement process, classical information about the measured system spreads throughout the environment. Meanwhile, quantum information about the system becomes inaccessible to local observers.
Xiao-Liang Qi, Daniel Ranard
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The Emperor's New Markov Blankets [PDF]
Behavioral and Brain Sciences, 2021 AbstractThe free energy principle, an influential framework in computational neuroscience and theoretical neurobiology, starts from the assumption that living systems ensure adaptive exchanges with their environment by minimizing the objective function of variational free energy.
Jelle Bruineberg +3 more
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Analyzing Markov Boundary Discovery Algorithms in Ideal Conditions Using the d-Separation Criterion
Algorithms, 2022 This article proposes the usage of the d-separation criterion in Markov Boundary Discovery algorithms, instead of or alongside the statistical tests of conditional independence these algorithms usually rely on.
Camil Băncioiu, Remus Brad
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Parcels and particles: Markov blankets in the brain [PDF]
Network Neuroscience, 2021 At the inception of human brain mapping, two principles of functional anatomy underwrote most conceptions—and analyses—of distributed brain responses: namely, functional segregation and integration. There are currently two main approaches to characterizing functional integration. The first is a mechanistic modeling of connectomics in terms of directed
Friston, KJ +6 more
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