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The neurobiological and computational origins of behavioral variability

Project description

Explaining human inconsistency

Facing similar choices, people make different decisions. This variability of human reactions is the subject of many studies and theories. From a cognitive and economic perspective, this may be due to infused noise during the decision-making process. The latest behavioral research suggests that it could also arise during the learning process. However, the neural mechanism of learning noise is yet to be studied. The EU-funded learNoise project will carry out a novelty research of the locus coeruleus-noradrenaline (LC-NA) system’s role in learning noise. The groundbreaking real-time fMRI framework will be used to test whether the LC activity directly affects learning noise. The project will deliver new explanations for the neurobiological, computational and psychiatric mechanisms of inconsistent decision making in humans.

Objective

Human behavior is inherently variable. Even when faced with the same exact choice options, we often take different actions. The causes for this inconsistency are unknown, but economic and cognitive theories assume this is due to noise that is injected when making a decision. However, I have recently demonstrated that noise might not just arise during the decision process, but that the learning process itself (i.e update of internal representations based on feedback) is subject to substantial and meaningful noise. Concretely, I have shown that noise during learning accounts for the majority of what is traditionally reported as ‘decision noise’. However, the neural mechanisms underlying this learning noise remains unknown. In this fellowship, I will examine the contributions of the locus coeruleus-noradrenaline (LC-NA) system to this learning noise. NA has previously been associated with decision noise and here I will test whether activity in the LC is the driving factor behind learning noise. I will use a cutting-edge real-time fMRI framework that allows to causally test whether ongoing LC activity directly influences learning noise. Moreover, I will examine whether this learning noise is relevant to impulsivity, which has previously been implicated in decision noise. This fellowship has the potential to overthrown the traditional view on behavioral variability in decision making and will provide a novel neurobiological, computational and psychiatric grounding for understanding why humans are consistently inconsistent.

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Funding Scheme

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MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)

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Call for proposal

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(opens in new window) H2020-MSCA-IF-2019

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Coordinator

UNIVERSITY COLLEGE LONDON
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 212 933,76
Address
GOWER STREET
WC1E 6BT LONDON
United Kingdom

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Region
London Inner London — West Camden and City of London
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 212 933,76
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