Multi-Source Causal Invariance for Cuffless Blood Pressure Estimation Based on Photoplethysmography Signal Features [PDF]
Cuffless continuous blood pressure (BP) monitoring is essential for personal health management. However, its accuracy is challenged by the diversity and heterogeneity of physiological data sources.
Yiliu Xu, Zhaoming He, Hao Wang
doaj +2 more sources
Minimization of prediction errors during cerebral embryogenesis and the emergence of agency [PDF]
A theory of self-organization in the central nervous system is described, proposing that additive and dissipative synaptodendritic summation leads to synchronous oscillation as the equilibrium state, thereby underpinning a primary mechanism of prediction
James Joseph Wright, Paul David Bourke
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Thoughtseeds: A Hierarchical and Agentic Framework for Investigating Thought Dynamics in Meditative States [PDF]
The 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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Efficient Markov Blanket Discovery and Its Application
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 +3 more sources
25 pages, 5 figures, 1 table ...
Inês Hipólito +5 more
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Emergent classicality in general multipartite states and channels [PDF]
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
doaj +1 more source
The Emperor's New Markov Blankets [PDF]
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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Markov Blankets and Mirror Symmetries—Free Energy Minimization and Mesocortical Anatomy [PDF]
A theoretical account of development in mesocortical anatomy is derived from the free energy principle, operating in a neural field with both Hebbian and anti-Hebbian neural plasticity.
James Wright, Paul Bourke
doaj +2 more sources
Analyzing Markov Boundary Discovery Algorithms in Ideal Conditions Using the d-Separation Criterion
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
doaj +1 more source
Parcels and particles: Markov blankets in the brain [PDF]
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
openaire +5 more sources

