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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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The myth of the Bayesian brain. [PDF]
Eur J Appl PhysiolAbstract The Bayesian brain hypothesis—the idea that neural systems implement or approximate Bayesian inference—has become a dominant framework in cognitive neuroscience over the past two decades. While mathematically elegant and conceptually unifying, this paper argues that the hypothesis occupies an ambiguous territory between useful ...
Mangalam M.
europepmc +4 more sources
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 ...
M. Hashemi +6 more
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The history of the future of the Bayesian brain
NeuroImage, 2012 The slight perversion of the original title of this piece (The Future of the Bayesian Brain) reflects my attempt to write prospectively about 'Science and Stories' over the past 20 years. I will meet this challenge by dealing with the future and then turning to its history.
Karl J Friston
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The Bayesian brain and cooperative communication in schizophrenia. [PDF]
J Psychiatry Neurosci, 2022 Palaniyappan L, Venkatasubramanian G.
europepmc +6 more sources
Symptom perception, placebo effects, and the Bayesian brain. [PDF]
Pain, 2019 The standard and ideal biomedical model of symptom perception treats the brain largely as a passive stimulus-driven organ. It embraces the notion that the brain absorbs sensory signals from the body and converts them, directly, into conscious experience. Accordingly, biomedicine operates under the assumption that symptoms are the direct consequences of
Ongaro G, Kaptchuk TJ.
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Bayesian modeling of temporal expectations in the human brain [PDF]
NeuroImage, 2019 The brain predicts the timing of forthcoming events to optimize processes in response to them. Temporal predictions are driven by both our prior expectations on the likely timing of stimulus occurrence and the information conveyed by the passage of time.
Antonino Visalli +2 more
exaly +3 more sources