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Autobiographical Memory Content and Recollection Frequency: Public Release of Quantitative Datasets and Representative Classification Analysis Cover

Autobiographical Memory Content and Recollection Frequency: Public Release of Quantitative Datasets and Representative Classification Analysis

Open Access
|Jun 2020

Authors

Robert S. Gardner

rogardne@syr.edu

Center for Neural Informatics, Structures, and Plasticity, Krasnow Institute for Advanced Study, George Mason University, Fairfax, VA; Department of Biology, Syracuse University, Syracuse, NY

Hannah S. Anderson

handerso@andrew.cmu.edu

Center for Neural Informatics, Structures, and Plasticity, Krasnow Institute for Advanced Study, George Mason University, Fairfax, VA; Carnegie Mellon University, Pittsburgh, PA

Matteo Mainetti

matcube@gmail.com

Center for Neural Informatics, Structures, and Plasticity, Krasnow Institute for Advanced Study, George Mason University, Fairfax, VA

Giorgio A. Ascoli

ascoli@gmu.edu

Center for Neural Informatics, Structures, and Plasticity, Krasnow Institute for Advanced Study, George Mason University, Fairfax, VA; Neuroscience Program and Bioengineering Department, George Mason University, Fairfax, VA
DOI: https://doi.org/10.5334/joc.105 | Journal eISSN: 2514-4820
Language: English
Submitted on: Nov 24, 2019
Accepted on: May 20, 2020
Published on: Jun 17, 2020
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2020 Robert S. Gardner, Hannah S. Anderson, Matteo Mainetti, Giorgio A. Ascoli, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.