image: Representation of memories in an abstract synaptic space and its evolution with and without sleep. view more
Credit: Golden R, Delanois JE, Sanda P, and Bazhenov M, 2022, PLOS Computational Biology, CC-BY 4.0 (https://creativecommons.org/licenses/by/4.0/)
Editor's Note: The paper itself will publish later than expected (next Tuesday at 1400/2:00 p.m. ET). The embargo/release will be public at Nov. 10 at 1400/2:00 p.m. ET as planned.
Article URL: https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1010628
Article Title: Sleep prevents catastrophic forgetting in spiking neural networks by forming a joint synaptic weight representation
Author Countries: United States, Czech Republic
Funding: This study was supported by ONR (N00014-16-1-2829 to MB), Lifelong Learning Machines program from DARPA/MTO (HR0011-18-2-0021 to MB), NSF (IIS-1724405 to MB), and NIH (1RF1MH117155 to MB; 1R01MH125557 to MB; 1R01NS109553 to MB). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Editor's Note: The paper itself will publish later than expected (next Tuesday at 1400/2:00 p.m. ET). The embargo/release will be public at Nov. 10 at 1400/2:00 p.m. ET as planned.
Journal
PLOS Computational Biology
Method of Research
Computational simulation/modeling
Subject of Research
Not applicable
COI Statement
Competing interests: The authors have declared that no competing interests exist.