Journal
JOURNAL OF NEUROSCIENCE
Volume 38, Issue 48, Pages 10338-10348Publisher
SOC NEUROSCIENCE
DOI: 10.1523/JNEUROSCI.0457-18.2018
Keywords
consciousness; decision-making; prediction error; reinforcement learning
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Funding
- Netherlands Organization for Scientific Research [NWO VENI 451-11-007, NWO VENI 451-15-015]
- European Research Council (ERC) [715605]
- Brazilian Science Without Borders program
- National Natural Science Foundation of China [31600874]
- European Research Council (ERC) [715605] Funding Source: European Research Council (ERC)
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The extent to which subjective awareness influences reward processing, and thereby affects future decisions, is currently largely unknown. In the present report, we investigated this question in a reinforcement learning framework, combining perceptual masking, computational modeling, and electroencephalographic recordings (human male and female participants). Our results indicate that degrading the visibility of the reward decreased, without completely obliterating, the ability of participants to learn from outcomes, but concurrently increased their tendency to repeat previous choices. We dissociated electrophysiological signatures evoked by the reward-based learning processes from those elicited by the reward-independent repetition of previous choices and showed that these neural activities were significantly modulated by reward visibility. Overall, this report sheds new light on the neural computations underlying reward-based learning and decision-making and highlights that awareness is beneficial for the trial-by-trial adjustment of decision-making strategies.
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