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Published in 2023 at "Psychophysiology"
DOI: 10.1111/psyp.14321
Abstract: Reward learning has been shown to habitually guide overt spatial attention to specific regions of a scene. However, the neural mechanisms that support this bias are unknown. In the present study, participants learned to orient…
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Keywords:
high value;
spatial orienting;
value driven;
value quadrant ... See more keywords
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Published in 2018 at "Journal of neurophysiology"
DOI: 10.1152/jn.00489.2018
Abstract: Reward learning biases attention toward both reward-associated objects and reward-associated regions of space. The relationship between objects and space in the value-based control of attention, as well as the contextual specificity of space-reward pairings, remains…
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Keywords:
attentional biases;
spatial attentional;
nature;
representational nature ... See more keywords
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Published in 2022 at "Journal of Vision"
DOI: 10.1167/jov.22.1.12
Abstract: Kim and Beck (2020b) demonstrated that value-driven attention is based on relative value rather than absolute value, suggesting that prospect theory is relevant to our understanding of value-driven attention. To further this understanding, the present…
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Keywords:
difference;
point;
value driven;
value ... See more keywords
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Published in 2017 at "PLoS ONE"
DOI: 10.1371/journal.pone.0177491
Abstract: When an otherwise inconspicuous stimulus is learned to predict a reward, this stimulus will automatically capture visual attention. This learned attentional bias is not specific to the precise object previously associated with reward, but can…
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Keywords:
feature;
value;
reward;
value driven ... See more keywords
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Published in 2023 at "Sustainability"
DOI: 10.3390/su15118578
Abstract: The traditional mode of cooperation between enterprises still suffers from major problems, including data privacy leakage, data falsification, and inefficient collaboration in data sharing. These challenges make it difficult for enterprises to ensure that their…
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Keywords:
blockchain based;
framework;
value driven;
value ... See more keywords