Results 121 to 130 of about 2,193,761 (259)

Computational resource demands of a predictive Bayesian brain

, 2020
Contains fulltext : 218854.pdf (Publisher’s version ) (Open Access)There is a growing body of evidence that the human brain may be organized according to principles of predictive processing.
Kwisthout, J.H.P., Iris van Rooij, Rooij, I.J.E.I. van, Johan Kwisthout   +3 more
core   +1 more source

Accidents in the Chemical Industry: A Scoping Review Focused on Causal Factors

American Journal of Industrial Medicine, EarlyView.
ABSTRACT Background Although occupational safety in the chemical industry is an area of ongoing research worldwide, chemical incidents continue to occur, indicating the need to review the causes, assist in safety management, and identify problems in the quality of reporting. Methods A systematic search of studies published in English between January 1,
Željka Babić, Emin Veledar, Zrinka Franić, Franka Šakić, Mojca Dobaja Borak, Lucija Šarc, Jelena Macan, Miran Brvar   +7 more
wiley   +1 more source

The Bayesian brain and cooperative communication in schizophrenia. [PDF]

J Psychiatry Neurosci, 2022
Palaniyappan L, Venkatasubramanian G.
europepmc   +1 more source

Trace Elements Genetics: A Potential Role in Treatment‐Resistant Major Psychoses and Related Traits?

American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, EarlyView.
ABSTRACT Trace elements are pivotal to key biological processes, with possible effects on psychopathology. We investigated the hypothesis of shared genetic factors between trace elements levels, treatment resistance and related traits. We used genome‐wide summary statistics for trace elements blood concentration, treatment‐resistant depression (TRD ...
Chiara Fabbri, Alessandro Serretti, Marco Menchetti, Benedetta Vai, Francesco Benedetti, Lidia Fortaner‐Uyà, Concetta Crisafulli   +6 more
wiley   +1 more source

Sociodemographic Factors Associated with Hours Worked by Primary Carers in Australia

Australian Journal of Social Issues, EarlyView.
ABSTRACT Primary caregivers constitute a major unpaid workforce in Australia. The aim of this study was to determine the sociodemographic factors that are associated with carer workloads. Multinomial logistic regression modelling was applied to the nation‐wide Australian Government survey.
Andrew J. Hamilton
wiley   +1 more source

D²BGAN: Dual Discriminator Bayesian Generative Adversarial Network for Deformable MR–Ultrasound Registration Applied to Brain Shift Compensation

Diagnostics
During neurosurgical procedures, the neuro-navigation system’s accuracy is affected by the brain shift phenomenon. One popular strategy is to compensate for brain shift using intraoperative ultrasound (iUS) registration with pre-operative magnetic ...
Mahdiyeh Rahmani, Hadis Moghaddasi, Ahmad Pour-Rashidi, Alireza Ahmadian, Ebrahim Najafzadeh, Parastoo Farnia   +5 more
doaj   +1 more source

Bayesian Brain Mapping - Demo

Materials for the demo accompanying the manuscript Bayesian brain mapping: population-informed individualized functional topography and ...
Diego Derman
core  

Prediction error dependent changes in brain connectivity during associative learning [PDF]

, 2009
One of the fundaments of associative learning theories is that surprising events drive learning by signalling the need to update one’s beliefs. It has long been suggested that plasticity of connection strengths between neurons underlies the learning ...
den Ouden, H.E.M.
core  

General Practice Utilisation for Adults With Neurological Disability Who Are National Disability Insurance Scheme Participants in Australia

Australian Journal of Social Issues, EarlyView.
ABSTRACT Most adults with neurological disability rely on general practitioners for managing and preventing health complications. This study analysed patterns of general practice service utilisation among National Disability Insurance Scheme (NDIS) participants with neurological disability and compared these with people who are not NDIS participants ...
Stacey Oliver, Robin A. Ramme, Avinash Kondiboyina, Karina Gardner, Adam McLeod, Stephen Weeding, Christopher Pearce, Jacinta Douglas, Di Winkler   +8 more
wiley   +1 more source

Bayesian Wavelet Regression for Multiscale Signal Modeling: Mathematical Foundations, Uncertainty-Aware Inference, and Applications in Neuroscience and Vision Science

Mathematics
Bayesian wavelet regression offers a mathematically grounded framework for modeling neuro-retinal signals that exhibit substantial noise, high dimensionality, and complex variations across temporal and spatial scales. Such characteristics are inherent to
Asif Mehmood, Faisal Mehmood, Jungsuk Kim   +2 more
doaj   +1 more source