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A Bayesian and Emergent View of the Brain
Kronoscope, 2014Very 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
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The emergence of autism in the Bayesian brain
2017The 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, 2021Jill Barnholtz-Sloan, Carol Kruchko
exaly
A Novel MRI Diagnosis Method for Brain Tumor Classification Based on CNN and Bayesian Optimization
Healthcare (Switzerland), 2022Kewen Xia +2 more
exaly
Bayesian Inference for Brain Decoding
2014Brain 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, 2022Jane E Huggins, Jian Kang, Ji Zhu
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