Results 11 to 20 of about 65,094 (251)
The Bayesian brain and cooperative communication in schizophrenia. [PDF]
J Psychiatry Neurosci, 2022 Palaniyappan L, Venkatasubramanian G.
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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.
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Precision and the Bayesian brain [PDF]
Current Biology, 2021 In this Primer, Daniel Yon and Chris Frith explain ‘precision’ – a key concept in Bayesian models of the mind and brain. The idea of precision is central to current thinking across the cognitive sciences, but in recent years ideas about precision have begun to change. This raises important questions about precisely how precision works.
Daniel Yon, Chris D. Frith
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Bayesian Action&Perception: Representing the World in the Brain [PDF]
Frontiers in Neuroscience, 2014 Theories of perception seek to explain how sensory data are processed to identify previously experienced objects, but they usually do not consider the decisions and effort that goes into acquiring the sensory data.
Gerald E. Loeb +2 more
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Bayesian Brains and the Rényi Divergence
Neural Computation, 2022 Abstract Under the Bayesian brain hypothesis, behavioral variations can be attributed to different priors over generative model parameters. This provides a formal explanation for why individuals exhibit inconsistent behavioral preferences when confronted with similar choices. For example, greedy preferences are a consequence of confident
Noor Sajid +5 more
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Correction: The Bayesian brain and cooperative communication in schizophrenia. [PDF]
J Psychiatry Neurosci, 2022 europepmc +4 more sources
The Bayesian-Laplacian Brain [PDF]
European Journal of Neuroscience, 2016 Abstract We outline what we believe could be an improvement in future discussions of the brain acting as a Bayesian-Laplacian system. We do so by distinguishing between two broad classes of priors on which the brain’s inferential systems operate: in one category are biological priors ( β priors
Semir Zeki, Oliver Y. Chén
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PLoS Computational Biology, 2021 Individualized anatomical information has been used as prior knowledge in Bayesian inference paradigms of whole-brain network models. However, the actual sensitivity to such personalized information in priors is still unknown. In this study, we introduce
Meysam Hashemi +9 more
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Bayesian Brains without Probabilities [PDF]
Trends in Cognitive Sciences, 2016 Bayesian explanations have swept through cognitive science over the past two decades, from intuitive physics and causal learning, to perception, motor control and language. Yet people flounder with even the simplest probability questions. What explains this apparent paradox? How can a supposedly Bayesian brain reason so poorly with probabilities?
Sanborn, Adam N., Chater, Nick
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An Investigation of the Free Energy Principle for Emotion Recognition
Frontiers in Computational Neuroscience, 2020 This paper offers a prospectus of what might be achievable in the development of emotional recognition devices. It provides a conceptual overview of the free energy principle; including Markov blankets, active inference, and—in particular—a discussion of
Daphne Demekas +2 more
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