CRASK | Cortical Representation of Abstract Semantic Knowledge

Summary
The study of semantic memory considers a broad range of knowledge extending from basic elemental concepts that allow us to recognise and understand objects like ‘an apple’, to elaborated semantic information such as knowing when it is appropriate to use a Wilcoxon Rank-Sum test. Such elaborated semantic knowledge is fundamental to our daily lives yet our understanding of the neural substrates is minimal. The objective of CRASK is to advance rapidly beyond the state-of-the-art to address this issue. CRASK will begin by building a fundamental understanding of regional contributions, hierarchical organisation and regional coordination to form a predictive systems model of semantic representation in the brain. This will be accomplished through convergent evidence from an innovative combination of fine cognitive manipulations, multimodal imaging techniques (fMRI, MEG), and advanced analytical approaches (multivariate analysis of response patterns, representational similarity analysis, functional connectivity). Progress will proceed in stages. First the systems-level network underlying our knowledge of other people will be determined. Once this is accomplished CRASK will investigate general semantic knowledge in terms of the relative contribution of canonical, feature-selective and category-selective semantic representations and their respective roles in automatic and effortful semantic access. The systems-level model of semantic representation will be used to predict and test how the brain manifests elaborated semantic knowledge. The resulting understanding of the neural substrates of elaborated semantic knowledge will open up new areas of research. In the final stage of CRASK we chart this territory in terms of human factors: understanding the role of the representational semantic system in transient failures in access, neural factors that lead to optimal encoding and retrieval and the effects of ageing on the system.
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/640594
Start date: 01-05-2015
End date: 31-07-2021
Total budget - Public funding: 1 472 502,00 Euro - 1 472 502,00 Euro
Cordis data

Original description

The study of semantic memory considers a broad range of knowledge extending from basic elemental concepts that allow us to recognise and understand objects like ‘an apple’, to elaborated semantic information such as knowing when it is appropriate to use a Wilcoxon Rank-Sum test. Such elaborated semantic knowledge is fundamental to our daily lives yet our understanding of the neural substrates is minimal. The objective of CRASK is to advance rapidly beyond the state-of-the-art to address this issue. CRASK will begin by building a fundamental understanding of regional contributions, hierarchical organisation and regional coordination to form a predictive systems model of semantic representation in the brain. This will be accomplished through convergent evidence from an innovative combination of fine cognitive manipulations, multimodal imaging techniques (fMRI, MEG), and advanced analytical approaches (multivariate analysis of response patterns, representational similarity analysis, functional connectivity). Progress will proceed in stages. First the systems-level network underlying our knowledge of other people will be determined. Once this is accomplished CRASK will investigate general semantic knowledge in terms of the relative contribution of canonical, feature-selective and category-selective semantic representations and their respective roles in automatic and effortful semantic access. The systems-level model of semantic representation will be used to predict and test how the brain manifests elaborated semantic knowledge. The resulting understanding of the neural substrates of elaborated semantic knowledge will open up new areas of research. In the final stage of CRASK we chart this territory in terms of human factors: understanding the role of the representational semantic system in transient failures in access, neural factors that lead to optimal encoding and retrieval and the effects of ageing on the system.

Status

CLOSED

Call topic

ERC-StG-2014

Update Date

27-04-2024
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Horizon 2020
H2020-EU.1. EXCELLENT SCIENCE
H2020-EU.1.1. EXCELLENT SCIENCE - European Research Council (ERC)
ERC-2014
ERC-2014-STG
ERC-StG-2014 ERC Starting Grant