Reinstatement and transformation of memory traces for recognition

This repository contains the data and analysis code associated with the scientific publication: Title: Reinstatement and transformation of memory traces for recognitionAuthors: Rau et al.,Journal: ScienceAdvances Contents Readme: Detailed descriptions on the data, analysis code and Data: processed data (N=46) of all participants included in the analyses as outlined in the manuscript. Extract the Data.7z archive to /Data Analysis: Code for data analysis and visualization. PlacesNet: Similarity Matrices for each layer of the PlacesNet (Zhou et al., 2014). Extract the PlacesNet.7z archive to /PlacesNet Stimuli: Visualization of the stimulus material from the behavioral paradigm Contact: For more information of inquiries of any sort please contact: Elias MB [email protected] / [email protected]

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-01
DOI
https://doi.org/10.5281/zenodo.13866456
Primary Topic
Face Recognition and Perception
Type
article
Field-Weighted Citation Impact
0.00
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article

Reinstatement and transformation of memory traces for recognition

Zenodo (CERN European Organization for Nuclear Research)
Face Recognition and Perception
article

Reinstatement and transformation of memory traces for recognition

article en

Abstract

This repository contains the data and analysis code associated with the scientific publication: Title: Reinstatement and transformation of memory traces for recognitionAuthors: Rau et al.,Journal: ScienceAdvances Contents Readme: Detailed descriptions on the data, analysis code and Data: processed data (N=46) of all participants included in the analyses as outlined in the manuscript. Extract the Data.7z archive to /Data Analysis: Code for data analysis and visualization. PlacesNet: Similarity Matrices for each layer of the PlacesNet (Zhou et al., 2014). Extract the PlacesNet.7z archive to /PlacesNet Stimuli: Visualization of the stimulus material from the behavioral paradigm Contact: For more information of inquiries of any sort please contact: Elias MB [email protected] / [email protected]

Zenodo (CERN European Organization for Nuclear Research)
Ruhr University Bochum (DE)
Openalex Percentile: Top 68%
Face Recognition and Perception
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