Results 151 to 160 of about 2,095,528 (293)
BMC BioinformaticsBrain connectivity analysis based on magnetic resonance imaging is crucial for understanding neurological mechanisms. However, edge-based connectivity inference faces significant challenges, particularly the curse of dimensionality when estimating high-dimensional covariance matrices.
Li, Zijing, Zeng, Chenhao, Ge, Shufei
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Radiative Hybrid Nanofluid Flow Over a Porous Riga Surface: A Fuzzy–ANN Modeling Approach
Asia-Pacific Journal of Chemical Engineering, EarlyView.ABSTRACT This study proposes a fuzzy–ANN model to investigate the nonlinear thermal transport in a tangent hyperbolic (Tanh) hybrid nanofluid flow past a porous Riga surface, considering the effects of Rosseland diffusion, chemical reactions, and internal volumetric heating.
Azad Hussain, Rabia Zetoon, Reeha Iqbal
wiley +1 more source
Mystical experience in the Bayesian brain
Phenomenology and the Cognitive SciencesAbstract Mystical experiences are among the most extraordinary and meaningful experiences one can have. While such experiences have been studied for more than a century, it is still an open question how the brain can produce them. The present paper provides a possible answer by examining mystical experience from the lens of the REBUS ...
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Generating descriptive text from functional brain images [PDF]
, 2011 Recent work has shown that it is possible to take brain images of a subject acquired while they saw a scene and reconstruct an approximation of that scene from the images. Here we show that it is also possible to generate _text_ from brain images.
Matthew Botvinick +2 more
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Craniofacial growth, modeling, and estimation of milestones
The Anatomical Record, EarlyView.Abstract Understanding craniofacial growth is foundational for research into intra‐ and interspecies variation, evolution, and clinical care. The Craniofacial Growth Consortium Study (CGCS), combines cephalographs from historical growth studies to create a dense longitudinal record of growth from 6 to 22 years of age.
Richard J. Sherwood +6 more
wiley +1 more source
Bayesian attenuation of offset analgesia filters out random disturbances in noxious stimuli
PAIN Reports. Introduction:. Offset analgesia (OA), an endogenous pain inhibition after an abrupt decrease in noxious stimulation, provides a paradigm to study dynamic interaction between ascending and descending pain pathways.
Ryota Ishikawa +2 more
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Anatomical Sciences Education, EarlyView.Abstract The study of neuroanatomy is fundamental in many scientific fields. Despite this, it is a challenging subject for students. As technology evolves, it is being increasingly incorporated into educational methods, including the teaching of neuroanatomy. Three‐dimensional (3D) visualizations are well suited for displaying neuroanatomy.
Merlin J. Fair +5 more
wiley +1 more source
Identifying microbial drivers in biological phenotypes with a Bayesian network regression model
Ecology and EvolutionIn Bayesian Network Regression models, networks are considered the predictors of continuous responses. These models have been successfully used in brain research to identify regions in the brain that are associated with specific human traits, yet their ...
Samuel Ozminkowski +1 more
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Journal of the Association for Information Science and Technology, EarlyView.Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh +4 more
wiley +1 more source
The Radically Embodied Conscious Cybernetic Bayesian Brain: From Free Energy to Free Will and Back Again. [PDF]
Entropy (Basel), 2021 Safron A.
europepmc +1 more source