Results 251 to 260 of about 2,090,622 (295)

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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Subthreshold error corrections predict adaptive post‐error compensations

Psychophysiology, 2021
AbstractRelatively little is known about the relation between subthreshold error corrections and post‐error behavioral compensations. The present study utilized lateralized beta power, which has been shown to index response preparation, to examine subthreshold error corrections in a task known to produce response conflict, the Simon task. We found that
Paul J. Beatty, George A. Buzzell, Daniel M. Roberts, Yelyzaveta Voloshyna, Craig G. McDonald   +4 more
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Adaptation following errors: Error awareness predicts future performance

Memory & Cognition, 2021
The ability to detect an error in performance is critical to ongoing and future goal-directed behaviour. Diminished awareness of errors has been associated with a loss of insight and poor functional recovery in several clinical disorders (e.g., attention-deficit/hyperactivity disorder, addiction, schizophrenia).
Gezelle Dali, Robert Hester
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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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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 (
Sepideh, Heydari, Clay B, Holroyd
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Relative-error prediction

Statistics & Probability Letters, 1998
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Park, Heungsun, Stefanski, L. A.
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Path-Based Error Coverage Prediction

Journal of Electronic Testing, 2002
We present an analytical technique that uses fault injection data for estimating the coverage of concurrent error detection mechanisms in microprocessors. A major problem in such estimations is that the coverage depends on the program executed by the microprocessor as well as the input sequence to the program.
J. Aidemark, P. Folkesson, J. Karlsson
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Gaining on reward prediction errors

Nature Neuroscience, 2016
In 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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Neuronal Coding of Prediction Errors

Annual Review of Neuroscience, 2000
Associative learning enables animals to anticipate the occurrence of important outcomes. Learning occurs when the actual outcome differs from the predicted outcome, resulting in a prediction error. Neurons in several brain structures appear to code prediction errors in relation to rewards, punishments, external stimuli, and behavioral reactions. In one
W, Schultz, A, Dickinson
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Error significance but not error expectancy predicts error-related negativities for different error types

Behavioural Brain Research, 2016
Violations of outcome expectancies have been proposed to account for error-related brain activity in the medial prefrontal cortex. The present study investigated whether early error monitoring processes are sensitive only to the expectancy of errors, or whether these processes also evaluate the significance of errors.
Martin E. Maier, Marco Steinhauser
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