Animal affect, welfare and the Bayesian brain [PDF]
Animal WelfareAccording to the Bayesian brain hypothesis, the brain can be viewed as a predictive machine, such that predictions (or expectations) affect how sensory inputs are integrated.
Benjamin Lecorps, Daniel Weary
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Hierarchical disruption in the Bayesian brain: Focal epilepsy and brain networks [PDF]
NeuroImage: Clinical, 2017 In this opinion paper, we describe a combined view of functional and effective brain connectivity along with the free-energy principle for investigating persistent disruptions in brain networks of patients with focal epilepsy.
Amir Omidvarnia +4 more
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Extraction of features from sleep EEG for Bayesian assessment of brain development [PDF]
PLoS ONE, 2017 Brain development can be evaluated by experts analysing age-related patterns in sleep electroencephalograms (EEG). Natural variations in the patterns, noise, and artefacts affect the evaluation accuracy as well as experts' agreement.
Vitaly Schetinin, Livija Jakaite
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How Psychedelic-Assisted Treatment Works in the Bayesian Brain [PDF]
Frontiers in Psychiatry, 2022 Psychedelics are experiencing a renaissance in clinical research. In recent years, an increasing number of studies on psychedelic-assisted treatment have been conducted. So far, the results are promising, suggesting that this new (or rather, rediscovered)
Daniel Villiger, Daniel Villiger
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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 ...
Meysam Hashemi +2 more
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Efficacy of first-line immune checkpoint inhibitors in advanced non-small-cell lung cancer with or without brain metastases: a systematic review and network meta-analysis [PDF]
Frontiers in OncologyBackgroundImmune checkpoint inhibitors (ICIs) are the standard first-line care for advanced non-small cell lung cancer (NSCLC). However, optimal therapeutic choices for patients with brain metastases remain unclear due to a lack of direct comparisons. We
Jie Luo +8 more
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Hierarchical Bayesian modeling of multiregion brain cell count data [PDF]
eLifeWe can now collect cell-count data across whole animal brains quantifying recent neuronal activity, gene expression, or anatomical connectivity. This is a powerful approach since it is a multiregion measurement, but because the imaging is done postmortem,
Sydney Dimmock +8 more
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How to grow a self: development of self-representation in the Bayesian brain [PDF]
Frontiers in Human NeuroscienceMateusz Wozniak
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Bayesian multisource data integration for explainable brain-behavior analysis
Frontiers in Neuroscience, 2022 Different data sources can provide complementary information. Moving from a simple approach based on using one data source at a time to a systems approach that integrates multiple data sources provides an opportunity to understand complex brain disorders
Rong Chen
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A Quantum Predictive Brain: Complementarity Between Top-Down Predictions and Bottom-Up Evidence
Frontiers in Psychology, 2022 Predictive brain theory challenges the general assumption of a brain extracting knowledge from sensations and considers the brain as an organ of inference, actively constructing explanations about reality beyond its sensory evidence. Predictive brain has
Antonio Mastrogiorgio
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