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A neurally-informed behavioural modeling framework for examining individual and group difference in perceptual decision making

Descrizione del progetto

Nuovo modo di rilevare le patologie cerebrali legate all’età

Uno degli obiettivi della psicologia moderna è quello di spiegare la differenziazione interindividuale delle cause meccanicistiche nel processo decisionale. Tuttavia, si tratta di un compito complicato, poiché anche la nostra scelta percettiva più semplice dipende da numerosi processi. I modelli matematici di «campionamento sequenziale» hanno lo scopo di analizzare questi processi differenziando il comportamento di scelta, ma non sono ancora precisi a causa dei loro limiti metodologici. Il progetto IndDecision, finanziato dall’UE, mira a superare questo problema applicando un metodo innovativo e all’avanguardia che consente l’uso di modelli di processo decisionale basati sui risultati comportamentali osservati, confrontati e misurati grazie all’elettrofisiologia non invasiva. Il progetto aiuterà a individuare precocemente le patologie cerebrali legate all’età, consentendo migliori effetti terapeutici.

Obiettivo

Pinpointing the mechanistic origins of inter-individual differences in decision making is a central goal of modern psychology and a considerable challenge because even elementary perceptual choices rely on a multitude of sensory, cognitive, motivational and motoric processes. For this reason, researchers have relied heavily on a set of mathematical ‘sequential sampling’ models that are designed to parse the latent psychological processes driving variations in choice behaviour. Although these models have been fruitfully employed in thousands of theoretical and neurophysiological investigations, they suffer from several limitations that particularly undermine their utility in inter-individual or -group comparisons including: A) parameter values are estimated on a relative, within-subject scale; B) the models come in many forms that can make identical behavioural predictions despite invoking fundamentally different mechanisms (‘model mimicry’); and C) they deal in abstract psychological constructs that are themselves dependent on multiple neural processes. The objective of this proposal is to address each of these issues by pioneering a ground-breaking decision modelling framework in which models are constructed and evaluated based on their ability to explain key observable aspects of the neural implementation of the human decision process in addition to its behavioural output. This ambitious goal is made possible by recent advances in non-invasive electrophysiology which enable direct observation, measurement and manipulation of the decision process as it unfolds in the human brain. Across a series of empirical investigations that will use adult aging as a test-bed for studying inter-individual and -group differences, this research will yield new methods for directly comparing model parameter values across subjects, resolve prominent theoretical debates regarding decision making algorithms and gain important new insights into their susceptibility to cognitive aging.

Campo scientifico

Meccanismo di finanziamento

ERC-COG - Consolidator Grant

Istituzione ospitante

THE PROVOST, FELLOWS, FOUNDATION SCHOLARS & THE OTHER MEMBERS OF BOARD, OF THE COLLEGE OF THE HOLY & UNDIVIDED TRINITY OF QUEEN ELIZABETH NEAR DUBLIN
Contribution nette de l'UE
€ 1 996 310,00
Indirizzo
COLLEGE GREEN TRINITY COLLEGE
D02 CX56 DUBLIN 2
Irlanda

Mostra sulla mappa

Regione
Ireland Eastern and Midland Dublin
Tipo di attività
Higher or Secondary Education Establishments
Collegamenti
Costo totale
€ 1 996 310,00

Beneficiari (1)