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Evidence integration and decision-confidence are modulated by stimulus consistency

Moshe Glickman, Rani Moran, Marius Usher
doi: https://doi.org/10.1101/2020.10.12.335943
Moshe Glickman
1School of Psychology, University of Tel Aviv, Tel Aviv, Israel
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  • For correspondence: mosheglickman345@gmail.com
Rani Moran
2Max Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, 10-12 Russell Square, London WC1B 5EH, United Kingdom
3Wellcome Centre for Human Neuroimaging, University College London, London WC1N 3BG, United Kingdom
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Marius Usher
1School of Psychology, University of Tel Aviv, Tel Aviv, Israel
4Sagol School of Neuroscience, University of Tel Aviv, Tel Aviv, Israel
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Abstract

Evidence-integration is a normative algorithm for choosing between alternatives with noisy evidence, which has been successful in accounting for a vast amount of behavioral and neural data. However, this mechanism has been challenged as tracking integration boundaries sub-serving choice has proven elusive. Here we first show that the decision boundary can be monitored using a novel, model-free behavioral method, termed Decision-Classification Boundary. This method allowed us to both provide direct support for evidence-integration contributions and to identify a novel integration-bias, whereby incoming evidence is modulated based on its consistency with evidence from preceding time-frames. This consistency bias was supported in three cross-domain experiments, involving decisions with perceptual and numerical evidence, which showed that choice-accuracy and decision confidence are modulated by stimulus consistency. Strikingly, despite its seeming sub-optimality, this bias fosters performance by enhancing robustness to integration noise. We argue this bias constitutes a new form of micro-level, within-trial, confirmation bias and discuss implications to broad aspects of decision making.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted October 12, 2020.
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Evidence integration and decision-confidence are modulated by stimulus consistency
Moshe Glickman, Rani Moran, Marius Usher
bioRxiv 2020.10.12.335943; doi: https://doi.org/10.1101/2020.10.12.335943
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Evidence integration and decision-confidence are modulated by stimulus consistency
Moshe Glickman, Rani Moran, Marius Usher
bioRxiv 2020.10.12.335943; doi: https://doi.org/10.1101/2020.10.12.335943

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