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Dialogues on prediction errors

Trends in Cognitive Sciences, 2008
The 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, 2021
In 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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Error mode prediction

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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Reward Prediction Error and Declarative Memory

open access: yesTrends in Cognitive Sciences, 2020
Learning based on reward prediction error (RPE) was originally proposed in the context of non-declarative memory. We postulate that RPE may support declarative memory as well. Indeed, recent years have witnessed a number of independent empirical studies reporting effects of RPE on declarative memory.
Esther De Loof   +2 more
exaly   +5 more sources

Reward positivity: Reward prediction error or salience prediction error?

Psychophysiology, 2016
AbstractThe 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 unexpected negative events (
Clay B Holroyd
exaly   +3 more sources

Quantization Error in Predictive Coders

IEEE Transactions on Communications, 1975
Predictive 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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Synthesis and analysis of prediction errors and error fusion based prior for prediction algorithms

Multimedia Tools and Applications, 2021
In 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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