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Dialogues on prediction errors
Trends in Cognitive Sciences, 2008The recognition that computational ideas from reinforcement learning are relevant to the study of neural circuits has taken the cognitive neuroscience community by storm. A central tenet of these models is that discrepancies between actual and expected outcomes can be used for learning.
Yael, Niv, Geoffrey, Schoenbaum
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Sex and Prediction Error, Part 3: Provoking Prediction Error
Journal of the American Psychoanalytic Association, 2021In parts 1 and 2 of this Lacanian neuropsychoanalytic series, surplus prediction error was presented as a neural correlate of the Lacanian concept of jouissance. Affective consciousness (a key source of prediction error in the brain) impels the work of cognition, the predictive work of explaining what is foreign and surprising.
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Ergonomics, 1999
The study of accidents ('human errors') has been dominated by efforts to develop 'error' taxonomies and 'error' models that enable the retrospective identification of likely causes. In the field of Human Reliability Analysis (HRA) there is, however, a significant practical need for methods that can predict the occurrence of erroneous actions ...
E, Hollnagel, M, Kaarstad, H C, Lee
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The study of accidents ('human errors') has been dominated by efforts to develop 'error' taxonomies and 'error' models that enable the retrospective identification of likely causes. In the field of Human Reliability Analysis (HRA) there is, however, a significant practical need for methods that can predict the occurrence of erroneous actions ...
E, Hollnagel, M, Kaarstad, H C, Lee
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Synthesis and analysis of prediction errors and error fusion based prior for prediction algorithms
Multimedia Tools and Applications, 2021In this paper, we propose a simple and efficient post-processing algorithm to improve the accuracy of prediction based, computationally simple image reconstruction algorithms. The proposed algorithm works where there is a need to restore the missing pixels (such as interpolation, deinterlacing, sub-pixel rendering, denoising, and demosaicing).
Neeraj Kumar +2 more
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Quantization Error in Predictive Coders
IEEE Transactions on Communications, 1975Predictive coders have been suggested for use as analog data compression devices. Exact expressions for reconstructed signal error have been rare in the literature. In fact most results reported in the literature are based on the assumption of Gaussian statistics for prediction error.
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Gaining on reward prediction errors
Nature Neuroscience, 2016In this issue of Nature Neuroscience, Eshel et al. characterize the homogeneity with which individual dopamine neurons encode reward prediction error, a teaching signal that is thought to be crucial for associative learning.
Nathan F, Parker, Ilana B, Witten
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Minimising the Context Prediction Error
2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring, 2007Context prediction mechanisms proactively provide information on future contexts. Due to this knowledge novel applications become possible that provide services with proactive knowledge to users. The most serious problem of context prediction mechanisms lies in a basic property of prediction itself. A prediction is always a guess.
Stephan Sigg +2 more
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Reward positivity: Reward prediction error or salience prediction error?
Psychophysiology, 2016Abstract The reward positivity is a component of the human ERP elicited by feedback stimuli in trial‐and‐error learning and guessing tasks. A prominent theory holds that the reward positivity reflects a reward prediction error signal that is sensitive to outcome valence, being larger for unexpected positive events relative to ...
Sepideh, Heydari, Clay B, Holroyd
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On the Error of Prediction of a Time Series
Biometrika, 1972Abstract : Parametric and nonparametric procedures for the prediction of a time series are discussed. In each case the increase in the mean squared error of prediction over its minimum level due to the use of estimated spectra is assessed. The fitting of simple parametric models as approximations is also discussed. (Author)
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