Simulation data for the paper "Associations between socioeconomic status, cognition and brain structure: Evaluating potential causal pathways through mechanistic models of development"
Description
There were three populations of ANNs trained, which differed according to how SES-linked environmental influences were implemented: Stimulation, Structure, Stimulation+structure.
This archive comprises Excel files containing results and parameters for the three populations, each N=1000 individuals. Each population was given an intervention to close gaps in developmental outcomes. There are three further three 'intervention' Excel files containing equivalent results for the populations following the early interventions.
Citation of paper:
Thomas, M. S. C. & Coecke, S. (2023). Associations between socioeconomic status, cognition and brain structure: Evaluating potential causal pathways through mechanistic models of development. Cognitive Science, e13217. DOI: 10.1111/cogs.13217
Collection Method
Data Objects
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Metadata
Dataset Title: | Simulation data for the paper "Associations between socioeconomic status, cognition and brain structure: Evaluating potential causal pathways through mechanistic models of development" |
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Creators: | Thomas, Michael |
School/Department: | Birkbeck Schools and Research Centres > School of Science > Psychological Sciences |
Keywords: | cognitive development, socioeconomic status, brain development, structural MRI, intelligence, heritability, artificial neural networks, intervention, cortical surface area, cortical thickness |
Data collection method: | The collection contains simulated data from artificial neural network (ANN) computational models investigating socio-economic-status (SES) linked environmental influences and genetic effects on the development of cognition and behaviour. |
Statement on legal, ethical, and access issues: | Not applicable |
Depositing User: | Michael Thomas |
Date Deposited: | 06 Dec 2022 14:34 |
Last Modified: | 06 Dec 2022 14:34 |
Publisher: | Birkbeck College, University of London |
Impact & Reach
Additional statistics for this dataset are available via IRStats2.