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Published in 2018 at "Review of Quantitative Finance and Accounting"
DOI: 10.1007/s11156-018-00783-3
Abstract: In the absence of an income statement, earnings can be calculated as cash flow from operating activities (CFO) plus accruals, rather than being stated as the difference between income statement revenues and expenses. Following the…
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Keywords:
income statement;
double entry;
prediction errors;
sample prediction ... See more keywords
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Published in 2017 at "Current Neurology and Neuroscience Reports"
DOI: 10.1007/s11910-017-0755-9
Abstract: Purpose of ReviewSurprises are important sources of learning. Cognitive scientists often refer to surprises as “reward prediction errors,” a parameter that captures discrepancies between expectations and actual outcomes. Here, we integrate neurophysiological and functional magnetic…
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Keywords:
reward prediction;
drug;
prediction errors;
parkinson disease ... See more keywords
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Published in 2019 at "International Journal of Forecasting"
DOI: 10.1016/j.ijforecast.2019.04.008
Abstract: Abstract Part of a prediction is the judgment applied by the forecaster. This judgmental input may be affected by the forecaster’s mood swings, which have been shown to affect, for example, stock market returns. The…
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Keywords:
anomalies macroeconomic;
private forecasters;
prediction errors;
prediction ... See more keywords
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Published in 2019 at "NeuroImage"
DOI: 10.1016/j.neuroimage.2019.02.052
Abstract: &NA; Most studies that have investigated the brain mechanisms underlying learning have focused on the ability to learn simple stimulus‐response associations. However, in everyday life, outcomes are often obtained through complex behavioral patterns involving a…
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Keywords:
prediction errors;
reward prediction;
pseudo reward;
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Published in 2024 at "Psychological Medicine"
DOI: 10.1017/s0033291724000047
Abstract: Abstract Background Depression is characterized by abnormalities in emotional processing, but the specific drivers of such emotional abnormalities are unknown. Computational work indicates that both surprising outcomes (prediction errors; PEs) and outcomes (values) themselves drive…
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Keywords:
prediction errors;
depression associated;
blunted affective;
depression ... See more keywords
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Published in 2019 at "Developmental psychology"
DOI: 10.1037/dev0000754
Abstract: According to prediction-based learning theories, erroneous predictions support learning. However, empirical evidence for a relation between prediction error and children's language learning is currently lacking. Here we investigated whether and how prediction errors influence children's…
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Keywords:
predict redirect;
redirect prediction;
prediction errors;
word learning ... See more keywords
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Published in 2018 at "Nature Communications"
DOI: 10.1038/s41467-018-04055-5
Abstract: There is general consensus that dopaminergic midbrain neurons signal reward prediction errors, computed as the difference between expected and received reward value. However, recent work in rodents shows that these neurons also respond to errors…
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Keywords:
reward identity;
identity;
human midbrain;
prediction errors ... See more keywords
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Published in 2019 at "Nature Communications"
DOI: 10.1038/s41467-018-08184-9
Abstract: To adjust expectations efficiently, prediction errors need to be associated with the precise features that gave rise to the unexpected outcome, but this credit assignment may be problematic if stimuli differ on multiple dimensions and…
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Keywords:
specific prediction;
feature specific;
prediction errors;
fronto striatal ... See more keywords
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Published in 2024 at "Nature Communications"
DOI: 10.1038/s41467-024-45880-1
Abstract: Outcome-guided behavior requires knowledge about the identity of future rewards. Previous work across species has shown that the dopaminergic midbrain responds to violations in expected reward identity and that the lateral orbitofrontal cortex (OFC) represents…
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Keywords:
prediction errors;
identity;
identity prediction;
reward identity ... See more keywords
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Published in 2025 at "Nature Communications"
DOI: 10.1038/s41467-025-63135-5
Abstract: Reinforcement learning models focus on reward prediction errors as the driver of behavior. However, recent evidence indicates that deviations from emotion expectations, termed affective prediction errors, also crucially shape behavior. Whether there is neural separability…
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Keywords:
prediction errors;
emotion;
separable neural;
neural signals ... See more keywords
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Published in 2018 at "Scientific Reports"
DOI: 10.1038/s41598-018-26887-3
Abstract: We set out to investigate whether beta oscillations in the human basal ganglia are modulated during reinforcement learning. Based on previous research, we assumed that beta activity might either reflect the magnitudes of individuals’ received…
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Keywords:
reinforcement magnitudes;
beta;
prediction errors;
reinforcement prediction ... See more keywords