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HOMEOSTATIC CONTROL OF NEURAL ACTIVITY: From Phenomenology to Molecular Design
Abstract
Homeostasis is a specialized form of regulation that precisely maintains the function of a system at a set point level of activity. Recently, homeostatic signaling has been suggested to control neural activity through the modulation of synaptic efficacy and membrane excitability ( Davis & Goodman 1998a, Turrigiano & Nelson 2000, Marder & Prinz 2002, Perez-Otano & Ehlers 2005 ). In this way, homeostatic signaling is thought to constrain neural plasticity and contribute to the stability of neural function over time. Using a restrictive definition of homeostasis, this review first evaluates the phenomenological and molecular evidence for homeostatic signaling in the nervous system. Then, basic principles underlying the design and molecular implementation of homeostatic signaling are reviewed on the basis of work in other, simplified biological systems such as bacterial chemotaxis and the heat shock response. Data from these systems are then discussed in the context of homeostatic signaling in the nervous system.
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“Recent work has shown that these destabilizing influences are counterbalanced by homeostatic plasticity mechanisms that act to stabilize neuronal and circuit activity.”
From Homeostatic Synaptic Plasticity: Local and Global Mechanisms for Stabilizing Neuronal Function (2012) · cites this paper as Davis 2006
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Metadata
- Authors
- Davis, G. W.
- Affiliations
- University of California, San Francisco (US)
- Corresponding author
- Davis, Graeme W.
- ORCID
- Davis, Graeme W.
- Venue
- Annual Review of Neuroscience
- Publisher
- Annual Reviews
- Published
- 2006-07-21
- Volume
- 29
- Issue
- 1
- Pages
- 307-323
- ISSN
- 0147-006X (ISSN-L)
- 1545-4126
- OpenAlex
- W2141851583
- Cited by
- 543
- References
- 82
- Citations by year
- 2026: 12 · 2025: 15 · 2024: 17 · 2023: 14 · 2022: 19 · 2021: 19 · 2020: 19 · 2019: 27 · 2018: 26 · 2017: 24 · 2016: 20 · 2015: 29 · 2014: 30 · 2013: 41 · 2012: 38
- FWCI
- 3.63
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Annual Review of Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
- Keywords
- synaptic efficacy, membrane excitability, neuroplasticity, homeostatic regulation, bacterial chemotaxis, heat shock response
- MeSH terms
- Animals, Homeostasis, Models, Neurological, Neuronal Plasticity, Neurons, Neural Networks, Computer
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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