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FLEXSEM

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Graded constraints in semantic cognition How do we retrieve knowledge in a flex...

Graded constraints in semantic cognition How do we retrieve knowledge in a flexible way? For any concept, we have knowledge about diverse features – for example, a dog is furry, can chase rabbits, and is man’s best friend. How, at a specific moment, do we flexibly retrieve relevant conceptual knowledge that suits our... ver más

30/09/2024

UNIVERSITY OF YORK

2M€

Presupuesto del proyecto: 2M€

Líder del proyecto

UNIVERSITY OF YORK No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

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Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2024-09-30

ERC-2017-COG: ERC Consolidator Grant

I+D

Cerrada hace 7 años

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2 Participantes

UNIVERSITY OF YORK

2.00M€ | Lider

DELFIN ULTRACONGELADOS, S.A.

2.30M€ | Participante

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Últimas noticias

02-12-2024: AGENCIA-VALENCIANA-D... En las últimas 48 horas el Organismo AGENCIA VALENCIANA D... ha otorgado 1 concesiones

02-12-2024: CDTI En las últimas 48 horas el Organismo CDTI ha otorgado 4 concesiones

01-12-2024: REDES En las últimas 48 horas el Organismo REDES ha otorgado 1337 concesiones

Duración del proyecto: 78 meses Fecha Inicio: 2018-03-21
Fecha Fin: 2024-09-30

Líder del proyecto

UNIVERSITY OF YORK

TRL 4-5

Presupuesto del proyecto 2M€

Descripción del proyecto For any concept, we have knowledge about diverse features – for example, a dog is furry, can chase rabbits, and is man’s best friend. How, at a specific moment, do we flexibly retrieve relevant conceptual knowledge that suits our current goals and context? We can promote coherence between weakly-related aspects of knowledge as required, and also achieve the timely release from patterns of retrieval when the situation changes. These effects are likely to play a central role in our mental lives – yet they are poorly understood because past research has largely focused on how the conceptual store captures what is generally true across experiences (i.e. semantic representation). This project alternatively examines the cognitive and brain mechanisms that promote currently-relevant semantic information. We consider whether flexible semantic retrieval involves the recruitment of additional brain regions, organised within large-scale distributed networks, that place constraints on patterns of retrieval in the semantic store. In this way, semantic flexibility might relate to the evolving interaction between distinct brain networks. We examine whether specific brain regions support distinct cognitive processes (e.g., automatic retrieval; selection) or, alternatively, whether the functional organisation of these networks is non-arbitrary, with brain regions further away from the semantic store supporting retrieval when there is a greater mismatch between ongoing retrieval and the pattern required by the context. We test this graded constraints hypothesis by combining parametric manipulations of the need for constraint with convergent neuroscientific methods that characterise functional recruitment in space (magnetic resonance imaging) and time (magnetoencephalography). We investigate causality (neuropsychology; brain stimulation) and the broader implications of our account (using an individual differences approach).

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