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Probabilistic trend detection in different levels of consciousness

Suárez-Pinilla, M; Muñoz-Moldes, S; Bekinschtein, T; (2015) Probabilistic trend detection in different levels of consciousness. Presented at: 19th Annual Meeting of the Association for the Scientific Study of Consciousness (ASSC 19), Paris, France. Green open access

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Abstract

We aimed to explore how alertness modulates the management of probabilistic information in order to accurately detect changing patterns in a stream of conflicting evidence. We hypothesized that a decreased level of alertness might disrupt the strategy deployed to approach a probabilistic reversal learning task by impairment of working memory, of integration and value-updating of each piece of evidence, and decreased cognitive control. Our results showed that performance in probabilistic reversal learning is altered in decreased alertness, in relation to a higher frequency of spontaneous switching between patterns. Besides, response time and type suggest an impaired ability to generate a stable evidence-based strategy, although evidence-driven responses are present even in heavy drowsiness.

Type: Poster
Title: Probabilistic trend detection in different levels of consciousness
Event: 19th Annual Meeting of the Association for the Scientific Study of Consciousness (ASSC 19)
Location: Paris, France
Dates: 2015
Open access status: An open access version is available from UCL Discovery
Publisher version: https://theassc.org/past-conferences/
Language: English
Keywords: consciousness, levels of consciousness, probabilistic reversal learning
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Neurodegenerative Diseases
URI: https://discovery.ucl.ac.uk/id/eprint/10090187
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