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  Vigilance, arousal, and acetylcholine: Optimal control of attention in a simple detection task

Chebolu, S., Dayan, P., & Lloyd, K. (2022). Vigilance, arousal, and acetylcholine: Optimal control of attention in a simple detection task. PLoS Computational Biology, 18(10): e1010642. doi:10.1371/journal.pcbi.1010642.

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Chebolu, S, Autor                 
Dayan, P1, Autor                 
Lloyd, K1, Autor                 
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1Department of Computational Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_3017468              

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 Zusammenfassung: Paying attention to particular aspects of the world or being more vigilant in general can be interpreted as forms of 'internal' action. Such arousal-related choices come with the benefit of increasing the quality and situational appropriateness of information acquisition and processing, but incur potentially expensive energetic and opportunity costs. One implementational route for these choices is widespread ascending neuromodulation, including by acetylcholine (ACh). The key computational question that elective attention poses for sensory processing is when it is worthwhile paying these costs, and this includes consideration of whether sufficient information has yet been collected to justify the higher signal-to-noise ratio afforded by greater attention and, particularly if a change in attentional state is more expensive than its maintenance, when states of heightened attention ought to persist. We offer a partially observable Markov decision-process treatment of optional attention in a detection task, and use it to provide a qualitative model of the results of studies using modern techniques to measure and manipulate ACh in rodents performing a similar task.

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 Datum: 2022-10
 Publikationsstatus: Online veröffentlicht
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 Identifikatoren: DOI: 10.1371/journal.pcbi.1010642
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Titel: PLoS Computational Biology
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: San Francisco, CA : Public Library of Science
Seiten: 36 Band / Heft: 18 (10) Artikelnummer: e1010642 Start- / Endseite: - Identifikator: ISSN: 1553-734X
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000017180_1