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Published in 2017 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-017-4430-6
Abstract: This study proposes a reversible data hiding (RDH) algorithm for 3D mesh models based on the optimal three-dimensional prediction-error histogram (PEH) modification with recursive construction coding (RCC). Firstly, we design a double-layered prediction scheme to…
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Keywords:
three dimensional;
prediction error;
mesh models;
modification ... See more keywords
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Published in 2018 at "Nonlinear Dynamics"
DOI: 10.1007/s11071-017-3967-2
Abstract: The industrial structural systems always contain various kinds of nonlinear factors. Recently, a number of new approaches have been proposed to identify those nonlinear structures. One of the promising methods is the nonlinear subspace identification…
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Keywords:
prediction error;
nonlinear subspace;
error method;
method ... See more keywords
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Published in 2020 at "Synthese"
DOI: 10.1007/s11229-020-02755-4
Abstract: This paper aims to offer an account of affective experiences within Predictive Processing, a novel framework that considers the brain to be a dynamical, hierarchical, Bayesian hypothesis-testing mechanism. We begin by outlining a set of…
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Keywords:
prediction error;
affective experiences;
account affective;
object ... See more keywords
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Published in 2019 at "Acta psychologica"
DOI: 10.1016/j.actpsy.2018.11.011
Abstract: Stimulus complexity is an important determinant of aesthetic preference. An influential idea is that increases in stimulus complexity lead to increased preference up to an optimal point after which preference decreases (inverted-U pattern). However, whereas…
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Keywords:
prediction error;
aesthetic preference;
preference;
complexity ... See more keywords
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Published in 2019 at "Behaviour research and therapy"
DOI: 10.1016/j.brat.2019.103461
Abstract: The procedure of memory reconsolidation provides an opportunity to improve some mental disorders caused by maladaptive memories, such as Posttraumatic Stress Disorder. Prediction error was considered a necessary condition for triggering memory reconsolidation. However, it…
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Keywords:
prediction error;
memory;
reconsolidation;
memory reconsolidation ... See more keywords
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Published in 2020 at "Cognition"
DOI: 10.1016/j.cognition.2019.104081
Abstract: Despite burgeoning evidence that listeners are highly sensitive to statistical distributions of speech cues, the mechanism underlying learning may not be purely statistical tracking. Decades of research in animal learning suggest that learning results from…
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Keywords:
prediction error;
error;
statistical tracking;
cue ... See more keywords
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Published in 2017 at "Cortex"
DOI: 10.1016/j.cortex.2017.09.017
Abstract: Prediction errors are deemed necessary for the updating of internal models of the environment, prompting us to stop or assert current action plans and helping us to adapt to environmental features. The aim of the…
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Keywords:
prediction error;
reward prediction;
uncertainty;
non reward ... See more keywords
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Published in 2019 at "Cortex"
DOI: 10.1016/j.cortex.2019.06.010
Abstract: Theories of predictive processing propose that prediction error responses are modulated by the certainty of the predictive model or precision. While there is some evidence for this phenomenon in the visual and, to a lesser…
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Keywords:
prediction error;
pitch;
compared low;
prediction ... See more keywords
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Published in 2019 at "Cortex"
DOI: 10.1016/j.cortex.2019.09.003
Abstract: Memory reconsolidation interference has been shown to be an effective way to neutralize conditioned fear memory and prevent relapse. The critical factor to utilize this paradigm is inducing a labile state of the long-term memory.…
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Keywords:
prediction error;
retrieval extinction;
neural mechanisms;
role ... See more keywords
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Published in 2018 at "European Neuropsychopharmacology"
DOI: 10.1016/j.euroneuro.2018.05.001
Abstract: Weakening drinking-related reward memories by blocking their reconsolidation is a potential novel strategy for treating alcohol use disorders. However, few viable pharmacological options exist for reconsolidation interference in humans. We therefore examined whether the NMDA…
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Keywords:
prediction error;
retrieval;
nitrous oxide;
alcohol ... See more keywords
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Published in 2021 at "Hearing Research"
DOI: 10.1016/j.heares.2020.107954
Abstract: Auditory prediction errors have been extensively associated with the mismatch negativity (MMN), a cortical auditory evoked potential that denotes deviance detection. Yet, many studies lacked the appropriate controls to disentangle sensory adaptation from prediction error.…
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Keywords:
prediction error;
auditory;
hierarchy;
emergence prediction ... See more keywords