The DOI matches its Crossref record; 140 of the 140 references it cites were found in a registry or an index.
The Biology of Forgetting—A Perspective
Open accessAbstract
Pioneering research studies, beginning with those using Drosophila, have identified several molecular and cellular mechanisms for active forgetting. The currently known mechanisms for active forgetting include neurogenesis-based forgetting, interference-based forgetting, and intrinsic forgetting, the latter term describing the brain’s chronic signaling systems that function to slowly degrade molecular and cellular memory traces. The best-characterized pathway for intrinsic forgetting includes “forgetting cells” that release dopamine onto engram cells, mobilizing a signaling pathway that terminates in the activation of Rac1/cofilin to effect changes in the actin cytoskeleton and neuron/synapse structure. Intrinsic forgetting may be the default state of the brain, constantly promoting memory erasure and competing with processes that promote memory stability like consolidation. A better understanding of active forgetting will provide insights into the brain’s memory management system and human brain disorders that alter active forgetting mechanisms.
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Green, D. R., & Reed, J. C. (1998) · Science · doi:10.1126/science.281.5381.1309 · Cited by 8,965
Memory - A century of consolidation
McGaugh, J. L. (2000) · Science · doi:10.1126/science.287.5451.248 · Cited by 4,250
Etienne-Manneville, S., & Hall, A. (2002) · Nature · doi:10.1038/nature01148 · Cited by 4,201
Diekelmann, S., & Born, J. (2010) · Nature Reviews Neuroscience · doi:10.1038/nrn2762 · Cited by 3,760
Inhibitory Processes in Attention, Memory and Language
Carr, T. H., & Dagenbach, D. (1994) · Medical Entomology and Zoology · Cited by 2,276
Mammalian Rho GTPases: new insights into their functions from in vivo studies
Heasman, S. J., & Ridley, A. J. (2008) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2476 · Cited by 1,871
Squire, L. R. (1986) · The Brain, Cognition, and Education · doi:10.1016/b978-0-12-268330-5.50013-5 · Cited by 1,841
Patterns and rates of exonic de novo mutations in autism spectrum disorders
Neale, B. M., Kou, Y., Liu, L., Ma’ayan, A., Samocha, K. E., Sabo, A., Lin, C.-F., Stevens, C., Wang, L.-S., Makarov, V., et al. (2012) · Nature · doi:10.1038/nature11011 · Cited by 1,734
The Neurobiology of Consolidations, Or, How Stable is the Engram?
Dudai, Y. (2004) · Annual Review of Psychology · doi:10.1146/annurev.psych.55.090902.142050 · Cited by 1,671
Mushroom body memoir: from maps to models
Heisenberg, M. (2003) · Nature Reviews Neuroscience · doi:10.1038/nrn1074 · Cited by 1,286
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The neurobiological foundation of memory retrieval
Frankland, P. W., Josselyn, S. A., & Köhler, S. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0493-1 · Cited by 228
Forgetting as a form of adaptive engram cell plasticity
Ryan, T. J., & Frankland, P. W. (2022) · Nature reviews. Neuroscience · doi:10.1038/s41583-021-00548-3 · Cited by 182
Incorporating neuro-inspired adaptability for continual learning in artificial intelligence
Wang, L., Zhang, X., Li, Q., Zhang, M., Su, H., Zhu, J., & Zhong, Y. (2023) · Nature Machine Intelligence · doi:10.1038/s42256-023-00747-w · Cited by 91
Self-citationRumination as a Transdiagnostic Phenomenon in the 21st Century: The Flow Model of Rumination
Wong, S. M. Y., Chen, E. Y. H., Lee, M. C. Y., Suen, Y. N., & Hui, C. L. M. (2023) · Brain Sciences · doi:10.3390/brainsci13071041 · Cited by 48
Metadata
- Authors
- Davis, R. L., & Zhong, Y.
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2017-08
- Volume
- 95
- Issue
- 3
- Pages
- 490-503
- ISSN
- 0896-6273 (ISSN-L)
- OpenAlex
- W2744751690
- Cited by
- 319
- References
- 140
- FWCI
- 12.31
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
