The DOI matches its Crossref record; 231 of the 231 references it cites were found in a registry or an index.
The Genomic Action Potential
Abstract
Neurons compute in part by integrating, on a time scale of milliseconds, many synaptic inputs and generating a digital output-the "action potential" of classic electrophysiology. Recent discoveries indicate that neurons also perform a second, much slower, integration operating on a time scale of minutes or even hours. The output of this slower integration involves a pulse of gene expression which may be likened to the electrophysiological action potential. Its function, however, is not directed toward immediate transmission of a synaptic signal but rather toward the experience-dependent modification of the underlying synaptic circuitry. Commonly termed the "immediate early gene" (IEG) response, this phenomenon is often assumed to be a necessary component of a linear, deterministic cascade of memory consolidation. Critical review of the large literature describing the phenomenon, however, leads to an alternative model of IEG function in the brain. In this alternative, IEG activation is not directed at the consolidation of memories of a specific inducing event; instead, it sets the overall gain or efficiency of memory formation and directs it to circuits engaged by behaviorally significant contexts. The net result is a sharpening of the selectivity of memory formation, a recruitment of temporally correlated associations, and an ultimate enhancement of long-term memory retrieval.
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“bGRNs thus have the ability to directly influence the architecture and activity of NNs by modulating neuronal excitability and connectivity (57).”
From Behavior-related gene regulatory networks: A new level of organization in the brain (2020) · cites this paper as [57]
In the citing paper
“The NN operates on the millisecond-to-second scales (for neuronal firing) and may induce the rapid activation of immediate early genes (IEGs) associated with behavior (57).”
From Behavior-related gene regulatory networks: A new level of organization in the brain (2020) · cites this paper as [57]
Citations
Cites
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Social competence: an evolutionary approach
Taborsky, B., & Oliveira, R. F. (2012) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2012.09.003 · Cited by 419
Vasopressin-dependent neural circuits underlying pair bond formation in the monogamous prairie vole
Lim, M. M., & Young, L. J. (2004) · Neuroscience · doi:10.1016/j.neuroscience.2003.12.008 · Cited by 322
Social context-induced song variation affects female behavior and gene expression
Woolley, S. C., & Doupe, A. J. (2008) · PLoS Biology · doi:10.1371/journal.pbio.0060062 · Cited by 303
González-Maeso, J., Yuen, T., Ebersole, B. J., Wurmbach, E., Lira, A., Zhou, M., Weisstaub, N., Hen, R., Gingrich, J. A., & Sealfon, S. C. (2003) · The Journal of Neuroscience · doi:10.1523/jneurosci.23-26-08836.2003 · Cited by 297
Li, L., Carter, J., Gao, X., Whitehead, J., & Tourtellotte, W. G. (2005) · Molecular and Cellular Biology · doi:10.1128/mcb.25.23.10286-10300.2005 · Cited by 235
Neurogenomic mechanisms of social plasticity
Cardoso, S. D., Teles, M. C., & Oliveira, R. F. (2015) · Journal of Experimental Biology · doi:10.1242/jeb.106997 · Cited by 106
Social Regulation of Male Reproductive Plasticity in an African Cichlid Fish
Maruska, K. P., & Fernald, R. D. (2013) · Integrative and Comparative Biology · doi:10.1093/icb/ict017 · Cited by 96
Behavior-related gene regulatory networks: A new level of organization in the brain
Sinha, S., Jones, B. M., Traniello, I. M., Bukhari, S. A., Halfon, M. S., Hofmann, H. A., Huang, S., Katz, P. S., Keagy, J., Lynch, V. J., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1921625117 · Cited by 85
Social cues shift functional connectivity in the hypothalamus
Hoke, K. L., Ryan, M. J., & Wilczynski, W. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0502361102 · Cited by 76
Philips, G. T., Ye, X., Kopec, A. M., & Carew, T. J. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.5561-12.2013 · Cited by 70
Context-specific habituation of the zenk gene response to song in adult zebra finches
KRUSE, A. (2004) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2004.05.001 · Cited by 71
Clayton, D. F., Anreiter, I., Aristizabal, M., Frankland, P. W., Binder, E. B., & Citri, A. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1820837116 · Cited by 56
Self-citation
Metadata
- Authors
- Clayton, D. F.
- Venue
- Neurobiology of Learning and Memory
- Publisher
- Elsevier BV
- Published
- 2000-11
- Volume
- 74
- Issue
- 3
- Pages
- 185-216
- ISSN
- 1074-7427
- Cited by
- 322
- References
- 231
- Language
- en
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
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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.