Pupil dilation offers a time-window on prediction error DOI Creative Commons
Olympia Colizoli, Tessa M. van Leeuwen, Danaja Rutar

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 31, 2024

Abstract Task-evoked pupil dilation has been linked to many cognitive variables, perhaps most notably unexpected events. Zénon (2019) proposed a unifying framework stating that related cognition should be considered from an information-theory perspective. In the current study, we investigated whether pupil’s response decision outcome in context of associative learning reflects prediction error defined formally as information gain, while also exploring time course this signal. To do so, adapted simple model trial-by-trial stimulus probabilities based on theory previous literature. We analyzed two data sets which participants performed perceptual decision-making tasks required was recorded. Our findings consistently showed significant proportion variability post-feedback during can explained by formal quantification gain shortly after feedback presentation both task contexts. later window, relationship between information-theoretic variables and differed per task. For first time, present evidence dilates or constricts along with seems dependent, specifically increasing decreasing average uncertainty (entropy) across trials. This study offers empirical showcasing how offer valuable insights into process updating learning, highlighting promising utility readily accessible physiological indicator for investigating internal belief states.

Language: Английский

Predictive processing in neuroscience, computational modeling and psychology DOI
Matthias Brucklacher,

Kwangjun Lee,

Giulia Moreni

et al.

Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 645 - 667

Published: Aug. 7, 2024

Language: Английский

Citations

0

Being a Beast Machine: An Interoceptive Basis for Conscious Selfhood DOI
Anil K. Seth

Springer eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 105 - 124

Published: Jan. 1, 2024

Language: Английский

Citations

0

Cognitive and Computational Accounts of Delusions: Problems and Progress DOI Creative Commons
Jessica Niamh Harding, Paul C. Fletcher

Annales Médico-psychologiques revue psychiatrique, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 1, 2024

Language: Английский

Citations

0

Bridging perspectives - A review and synthesis of 53 theoretical models of delusions DOI Creative Commons
Saskia Denecke, Sven Niklas Schönig, Antonia Bott

et al.

Clinical Psychology Review, Journal Year: 2024, Volume and Issue: 114, P. 102510 - 102510

Published: Oct. 28, 2024

Language: Английский

Citations

0

Pupil dilation offers a time-window on prediction error DOI Creative Commons
Olympia Colizoli, Tessa M. van Leeuwen, Danaja Rutar

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 31, 2024

Abstract Task-evoked pupil dilation has been linked to many cognitive variables, perhaps most notably unexpected events. Zénon (2019) proposed a unifying framework stating that related cognition should be considered from an information-theory perspective. In the current study, we investigated whether pupil’s response decision outcome in context of associative learning reflects prediction error defined formally as information gain, while also exploring time course this signal. To do so, adapted simple model trial-by-trial stimulus probabilities based on theory previous literature. We analyzed two data sets which participants performed perceptual decision-making tasks required was recorded. Our findings consistently showed significant proportion variability post-feedback during can explained by formal quantification gain shortly after feedback presentation both task contexts. later window, relationship between information-theoretic variables and differed per task. For first time, present evidence dilates or constricts along with seems dependent, specifically increasing decreasing average uncertainty (entropy) across trials. This study offers empirical showcasing how offer valuable insights into process updating learning, highlighting promising utility readily accessible physiological indicator for investigating internal belief states.

Language: Английский

Citations

0