Results 11 to 20 of about 43,440 (267)
Assessing an Improved Bayesian Model for Directional Motion Based Wave Inference
Journal of Marine Science and Engineering, 2020 An innovative Bayesian motion-based wave inference method is derived and assessed in this work. The evaluation of the accuracy of the proposed prior distribution has been carried out using the results obtained during a dedicated experimental campaign ...
Jordi Mas-Soler +2 more
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Behavioural thermoregulation via microhabitat selection of winter sleeping areas in an endangered primate: implications for habitat conservation [PDF]
Royal Society Open Science, 2018 Strategic microhabitat selection allows animals in seasonally cold environments to reduce homeostatic energy costs, particularly overnight when thermoregulatory demands are greatest. Suitable sleeping areas may therefore represent important resources for
Liz A. D. Campbell +6 more
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Modelling the neural code in large populations of correlated neurons
eLife, 2021 Neurons respond selectively to stimuli, and thereby define a code that associates stimuli with population response patterns. Certain correlations within population responses (noise correlations) significantly impact the information content of the code ...
Sacha Sokoloski +2 more
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Human scalp electroencephalography reveals that repetition suppression varies with expectation
Frontiers in Human Neuroscience, 2011 Repetitions of a sensory event elicit lower levels of brain activity than its initial presentation (‘repetition suppression’). According to one view, repetition suppression depends on the biophysics of neuronal discharge, and is thus an automatic ...
Christopher eSummerfield +3 more
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Attention in a Bayesian Framework
Frontiers in Human Neuroscience, 2012 A cornerstone of cognitive science is the idea that a process called`attention' dictates which incoming information is fully processed bya limited neural resource. However, attempts to discover exactly whythe brain needs to selectively filter its input,
Louise eWhiteley +2 more
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Bayesian models of object perception [PDF]
Current Opinion in Neurobiology, 2003 The human visual system is the most complex pattern recognition device known. In ways that are yet to be fully understood, the visual cortex arrives at a simple and unambiguous interpretation of data from the retinal image that is useful for the decisions and actions of everyday life.
Kersten, Daniel, Yuille, Alan L
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Towards modelling active sound localisation based on Bayesian inference in a static environment
Acta Acustica, 2021 Over the decades, Bayesian statistical inference has become a staple technique for modelling human multisensory perception. Many studies have successfully shown how sensory and prior information can be combined to optimally interpret our environment ...
McLachlan Glen +3 more
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Bayesian Models of Development
Trends in Ecology & Evolution, 2016 Until recently, biology lacked a framework for studying how information from genes, parental effects, and different personal experiences is combined across the lifetime to affect phenotypic development. Over the past few years, researchers have begun to build such a framework, using models that incorporate Bayesian updating to study the evolution of ...
Stamps, J.A., Frankenhuis, W.E.
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A Bayesian model of Knightian uncertainty [PDF]
Theory and Decision, 2013 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Al-Najjar, Nabil I., Weinstein, Jonathan
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Turning Bayesian model averaging into Bayesian model combination
The 2011 International Joint Conference on Neural Networks, 2011 Bayesian methods are theoretically optimal in many situations. Bayesian model averaging is generally considered the standard model for creating ensembles of learners using Bayesian methods, but this technique is often out-performed by more ad hoc methods in empirical studies.
Kristine Monteith +3 more
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