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A Bayesian and Emergent View of the Brain

Kronoscope, 2014
Very simple psychophysiological visual tests suggest that the brain, instead of processing visual information in a passive way as was classically thought, in fact actively evaluates probabilities of the causes of visual data and continuously proposes to the mind the ones that are more likely to account for sensory inputs.
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Computational Psychiatry and the Bayesian Brain

Abstract Computational psychiatry is a burgeoning field that uses formal models of brain function to characterize the mechanisms of psychopathology, with the hope that these mechanistic views can generate objective and predictive targets for treatment and intervention.
Karl J. Friston, Xiaosi Gu
openaire   +1 more source

The emergence of autism in the Bayesian brain

2017
The brain represents the state of the world around us based upon a stream of ambiguous sensory data. This requires the integration of different sources of information, including information received from different sense modalities, and information drawn from past experience.
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Brain and other central nervous system tumor statistics, 2021

Ca-A Cancer Journal for Clinicians, 2021
Jill Barnholtz-Sloan, Carol Kruchko
exaly  

An interdisciplinary consensus on the management of brain metastases in patients with renal cell carcinoma

Ca-A Cancer Journal for Clinicians, 2022
Marion Smits   +2 more
exaly  

A Novel MRI Diagnosis Method for Brain Tumor Classification Based on CNN and Bayesian Optimization

Healthcare (Switzerland), 2022
Kewen Xia   +2 more
exaly  

Bayesian Inference for Brain Decoding

2014
Brain decoding, a paradigm that consists of predicting stimuli or mental states from concurrent functional brain data, is steadily gaining popularity in neuroimaging based research. While the machine learning and pattern recognition techniques involved in classification-based analysis are getting more and more sophisticated, the statistical methods ...
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Bayesian Inferences on Neural Activity in EEG-Based Brain-Computer Interface

Journal of the American Statistical Association, 2022
Jane E Huggins, Jian Kang, Ji Zhu
exaly  

Electrophysiology of the Bayesian brain

2015
Kopp, Bruno   +2 more
openaire   +1 more source

Testing hypotheses of marsupial brain size variation using phylogenetic multiple imputations and a Bayesian comparative framework

Proceedings of the Royal Society B: Biological Sciences, 2021
Anjali Goswami   +2 more
exaly  

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