The DOI matches its Crossref record; 81 of the 82 references it cites were found in a registry or an index.
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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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
Citations
Cites
Homeostatic plasticity in the developing nervous system
Turrigiano, G. G., & Nelson, S. B. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1327 · Cited by 2,485
Activity-dependent scaling of quantal amplitude in neocortical neurons
Turrigiano, G. G., Leslie, K. R., Desai, N. S., Rutherford, L. C., & Nelson, S. B. (1998) · Nature · doi:10.1038/36103 · Cited by 2,226
Synaptic scaling mediated by glial TNF-α
Stellwagen, D., & Malenka, R. C. (2006) · Nature · doi:10.1038/nature04671 · Cited by 1,715
Robustness in simple biochemical networks
Barkai, N., & Leibler, S. (1997) · Nature · doi:10.1038/43199 · Cited by 1,513
Control of Synaptic Strength by Glial TNFα
Beattie, E. C., Stellwagen, D., Morishita, W., Bresnahan, J. C., Ha, B. K., Von Zastrow, M., Beattie, M. S., & Malenka, R. C. (2002) · Science · doi:10.1126/science.1067859 · Cited by 1,344
AMPA receptor trafficking at excitatory synapses
Bredt, D. S., & Nicoll, R. A. (2003) · Neuron · doi:10.1016/s0896-6273(03)00640-8 · Cited by 1,150
Robustness in bacterial chemotaxis
Alon, U. S., Surette, M. G., Barkai, N., & Leibler, S. (1999) · Nature · doi:10.1038/16483 · Cited by 1,129
Similar network activity from disparate circuit parameters
Prinz, A. A., Bucher, D., & Marder, E. (2004) · Nature Neuroscience · doi:10.1038/nn1352 · Cited by 1,091
Robustness of cellular functions
Stelling, J., Sauer, U., Szallasi, Z., Doyle, F. J., & Doyle, J. (2004) · Cell · doi:10.1016/j.cell.2004.09.008 · Cited by 1,049
Robust perfect adaptation in bacterial chemotaxis through integral feedback control
Yi, T., Huang, Y. H., Simon, M. I., & Doyle, J. C. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.97.9.4649 · Cited by 1,038
Research works printed but not linked: 1
- Goldman MS, 2001, J. Neurosci., 87, 1129
Cited by
Sorted by citations
Items 401–500 of 543
Neural dynamics based on the recognition of neural fingerprints
Carrillo-Medina, J. L., & Latorre, R. (2015) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2015.00033 · Cited by 6
Gartland, A. J., & Detwiler, P. B. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.4212-11.2011 · Cited by 6
Crash Testing an Engineering Framework in Neuroscience: Does the Idea of Robustness Break Down?
Chirimuuta, M. (2017) · Philosophia Scientiæ · doi:10.1086/694084 · Cited by 3
Jesús-Olmo, L. A. D., Rodríguez, N., Francia, M., Alemán-Rios, J., Pacheco-Agosto, C. J., Ortega-Torres, J., Nieves, R., Fuenzalida‐Uribe, N., Ghezzi, A., & Agosto, J. L. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00319 · Cited by 6
Evolutionary Robotics and Neuroscience
Husbands, P., Moioli, R. C., Shim, Y., Philippides, A. O., Vargas, P. A., & O’Shea, M. (2014) · The MIT Press eBooks · doi:10.7551/mitpress/8493.003.0003 · Cited by 6
Kong, W., Yin, Z., Fan, G. R., Yang, Y., & Huang, X. (2010) · Brain Research · doi:10.1016/j.brainres.2010.01.055 · Cited by 6
Lee, M., & Marder, E. E. (2024) · Journal of Neurophysiology · doi:10.1152/jn.00410.2024 · Cited by 7
Homeostatic plasticity in Drosophila central neurons, and implications in human diseases
Ping, Y., & Tsunoda, S. (2012) · Fly · doi:10.4161/fly.20775 · Cited by 5
Olfactory Deprivation and Enrichment: An Identity of Opposites?
Fitzwater, E., & Coppola, D. M. (2020) · Chemical Senses · doi:10.1093/chemse/bjaa071 · Cited by 5
Neuronal Homeostasis: Does Form Follow Function or Vice Versa?
Bucher, D. M. (2009) · Current Biology · doi:10.1016/j.cub.2008.11.042 · Cited by 5
Faghihi, F., & Moustafa, A. A. (2015) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2015.00164 · Cited by 5
Implementing Signature Neural Networks with Spiking Neurons
Carrillo-Medina, J. L., & Latorre, R. (2016) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2016.00132 · Cited by 5
Platschek, S., Cuntz, H., Deller, T., & Jedlička, P. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-803784-3.00009-3 · Cited by 4
Jitsev, E. (2010) · Publication Server of Goethe University Frankfurt am Main (Goethe University Frankfurt) · Cited by 5
Neuroinflammation, Glia, and Cytokines: Networks of Networks
Anderson, W. D., & Vadigepalli, R. (2022) · Encyclopedia of Computational Neuroscience · doi:10.1007/978-1-0716-1006-0_100694 · Cited by 5
Distance-dependent connectivity in the brain facilitates high dynamical and structural complexity
Barranca, V. J. (2025) · Cognitive Neurodynamics · doi:10.1007/s11571-025-10398-9 · Cited by 4
Ratliff, A., Pękala, D., & Wenner, P. (2023) · eNeuro · doi:10.1523/eneuro.0297-23.2023 · Cited by 5
Evolving a Neural Olfactorimotor System in Virtual and Real Olfactory Environments
Rhodes, P. A., & Anderson, T. O. (2012) · Frontiers in Neuroengineering · doi:10.3389/fneng.2012.00022 · Cited by 4
Homeostatic Regulation of Motoneuron Properties in Development
Wenner, P., & Pękala, D. (2022) · Advances in neurobiology · doi:10.1007/978-3-031-07167-6_4 · Cited by 5
Improved HTM Spatial Pooler with Homeostatic Plasticity Control
Dobric, D., Pech, A. H., Ghita, B., & Wennekers, T. (2021) · International Conference on Pattern Recognition Applications and Methods · doi:10.5220/0010314200980106 · Cited by 4
Roux, N. L., Amar, M., & Fossier, P. (2008) · Journal de la Société de Biologie · doi:10.1051/jbio:2008018 · Cited by 8
Molecular Aspects of Memory Dysfunction in Alzheimer’s Disease
Chin, J., Roberson, E. D., & Mucke, L. (2008) · Elsevier eBooks · doi:10.1016/b978-012370509-9.00015-2 · Cited by 5
Synapse as a Multi-component and Multi-level Information System
Proskura, A. L., Ratushnyak, A. S., Vechkapova, S. O., & Запара, Т. А. (2017) · Studies in computational intelligence · doi:10.1007/978-3-319-66604-4_27 · Cited by 4
Dystrobrevin is required postsynaptically for homeostatic potentiation at the Drosophila NMJ
Jantrapirom, S., Nimlamool, W., Temviriyanukul, P., Ahmadian, S., Locke, C. J., Davis, G. W., Yamaguchi, M., Noordermeer, J. N., Fradkin, L. G., & Potikanond, S. (2019) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2019.03.008 · Cited by 5
Self-citationBlocking interleukin-1 signalling in the brain - structural and functional outcomes
Spulber, S. D. (2008) · Figshare · Cited by 4
Biological detail and graph structure in network neuroscience
Papo, D., & Buldú, J. M. (2025) · Frontiers in Network Physiology · doi:10.3389/fnetp.2025.1667656 · Cited by 5
Nonionic signaling rapidly remodels postsynaptic DLG to induce retrograde homeostatic plasticity
Qiu, C., Perry, S., Chen, C., Chen, J. C., Zhuang, J., Han, Y., Goel, P., & Dickman, D. K. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2502997122 · Cited by 4
Regulation of presynaptic homeostatic plasticity by glial signalling in Alzheimer's disease
Cai, Y., & Wang, T. (2024) · The Journal of Physiology · doi:10.1113/jp286751 · Cited by 3
Role of Spontaneous Activity in the Maturation of GABAergic Synapses in Embryonic Spinal Circuits
Gonzalez-Islas, C. E., & Wenner, P. (2009) · Springer eBooks · doi:10.1007/978-1-4419-1243-5_3 · Cited by 3
Synchrony and Precise Timing in Complex Neural Networks
Memmesheimer, R.-M., & Timme, M. (2009) · World Scientific lecture notes in complex systems · doi:10.1142/9789812838803_0013 · Cited by 3
Pitchfork bifurcation in a receptor theory-based model of the serotonergic system
Yano, S., Watanabe, T., Aonuma, H., & Asama, H. (2013) · Molecular BioSystems · doi:10.1039/c3mb25033d · Cited by 3
Rimbp, a New Marker for the Nervous System of the Tunicate Ciona robusta
Coppola, U., Olivo, P., D’Aniello, E., Johnson, C. J., Stolfi, A., & Ristoratore, F. (2020) · Genes · doi:10.3390/genes11091006 · Cited by 4
Etherington, S. J., Johnstone, V., & Everett, A. W. (2014) · PLoS ONE · doi:10.1371/journal.pone.0087174 · Cited by 3
Béïque, J.-C. (2009) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2009.06887.x · Cited by 3
Can Engineering Principles Help Us Understand Nervous System Robustness?
O’Leary, T. (2018) · History, philosophy and theory of the life sciences · doi:10.1007/978-3-030-01198-7_9 · Cited by 3
Khatib, T., Whiting, A., Chisholm, D. R., Redfern, C. P. F., Müller, B., & McCaffery, P. J. A. (2019) · Molecular Neurobiology · doi:10.1007/s12035-019-1571-9 · Cited by 4
A Fast Homeostatic Inhibitory Plasticity Rule Circuit with a Memristive Synapse
Ma, G., Man, M., Zhang, Y., & Liu, S. (2023) · Electronics · doi:10.3390/electronics12030490 · Cited by 3
Wu, Y., Yi, X., Gu, X. F., Wang, Q., Jiang, Q., Li, Y., Zhu, M. X., Ding, J., Li, W., & Xu, T. (2023) · iScience · doi:10.1016/j.isci.2023.106322 · Cited by 3
Meriney, S. D., & Fanselow, E. E. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-815320-8.00014-4 · Cited by 4
Homeostasis at Multiple Spatial and Temporal Scales
Houweling, A. R., & Arjen Van Ooyen, B. (2009) · Elsevier eBooks · doi:10.1016/b978-008045046-9.01408-x · Cited by 3
Biogenic Amines in Neurotransmission and Human Disease
Uçar, A. (2019) · IntechOpen eBooks · doi:10.5772/intechopen.73738 · Cited by 3
Input-specific homeostatic regulation of AMPA receptor accumulation at central synapses
Hou, Q., & Man, H. (2012) · Communicative & Integrative Biology · doi:10.4161/cib.22076 · Cited by 2
Cooke, R. M., Luco, S., & Parker, D. (2011) · Journal of Comparative Physiology A · doi:10.1007/s00359-011-0683-0 · Cited by 2
Spehr, M. (2010) · e-Neuroforum · doi:10.1007/s13295-010-0002-1 · Cited by 3
Stein, W., Städele, C., & Smarandache‐Wellmann, C. (2015) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199682201.003.0046 · Cited by 2
Development of the locomotor system—Chick embryo
Wenner, P. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-816477-8.00010-7 · Cited by 2
On the Importance of the Newborn Stage When Learning Patterns with the Spatial Pooler
Dobric, D., Pech, A. H., Ghita, B., & Wennekers, T. (2022) · SN Computer Science · doi:10.1007/s42979-022-01066-4 · Cited by 2
Homeostatic Plasticity: Single Hippocampal Neurons See the Light
Sutton, M. A. (2010) · Neuron · doi:10.1016/j.neuron.2010.10.025 · Cited by 2
Sousouri, G., & Huber, R. (2019) · Handbook of behavioral neuroscience · doi:10.1016/b978-0-12-813743-7.00028-1 · Cited by 3
Sinha, R. (2011) · eDiss (Georg-August-Universität Göttingen) · doi:10.53846/goediss-3156 · Cited by 2
Homeostatic regulation of intrinsic excitability in hippocampal neurons
O’Leary, T. (2008) · ERA · Cited by 2
Onukwugha, C. G., & Osegi, E. N. (2018) · Preprints.org · doi:10.20944/preprints201808.0194.v1 · Cited by 2
Srinivasan, B., Samaddar, S., Mylavarapu, S. V. S., Clement, J. P., & Banerjee, S. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.04.01.020164 · Cited by 2
Assemblies of neurons can learn to classify well-separated distributions.Preprint
Dabagia, M., Papadimitriou, C. H., & Vempala, S. (2021) · arXiv (Cornell University) · Cited by 2
Input-Specific Inhibitory Plasticity Improves Decision Accuracy Under NoisePreprint
Song, S. C., Shen, B., Machold, R. P., Rudy, B., Glimcher, P. W., Louie, K., & Froemke, R. C. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.05.24.493332 · Cited by 2
Using Electrophysiology to Study Homeostatic Plasticity at theDrosophilaNeuromuscular JunctionPreprint
Wang, T., & Frank, C. A. (2024) · Cold Spring Harbor Protocols · doi:10.1101/pdb.top108393 · Cited by 3
Yi, G., Cui, J., & Bai, R. (2025) · Cognitive Neurodynamics · doi:10.1007/s11571-025-10297-z · Cited by 1
Cumulative dose responses for adapting biological systems
Gupta, A., & Sontag, E. D. (2025) · Journal of The Royal Society Interface · doi:10.1098/rsif.2024.0877 · Cited by 1
Dynamics of Functioning of Voltage-Operated Ion Channels in the Dendrite Plasma Membrane
Magura, I. S., Богданова, Н. А., & Dolgaya, E. V. (2013) · Neurophysiology · doi:10.1007/s11062-013-9398-x · Cited by 1
Uçar, A. (2019) · IntechOpen eBooks · doi:10.5772/intechopen.89244 · Cited by 1
Pallas, S. L. (2009) · Springer eBooks · doi:10.1007/978-1-4419-1243-5_1 · Cited by 1
Katz, P. S., & Calin-Jageman, R. J. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-809324-5.02300-2 · Cited by 1
Ephrins and Eph Receptors – Synaptogenesis and Synaptic Function
Filosa, A., & Klein, R. (2013) · Elsevier eBooks · doi:10.1016/b978-0-12-397266-8.00117-4 · Cited by 1
Embodied neuromechanical chaos through homeostatic regulation
Shim, Y., & Husbands, P. (2019) · Chaos An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/1.5078429 · Cited by 1
Bridi, M., Hong, S. Z., Severín, D., Moreno, C., Contreras, A., & Kirkwood, A. (2024) · Journal of Neuroscience · doi:10.1523/jneurosci.0021-23.2024 · Cited by 1
Developmental Axonal Pruning and Synaptic Plasticity
Scelfo, B., & Buffelli, M. (2009) · Springer eBooks · doi:10.1007/978-0-387-92708-4_5 · Cited by 2
A PI3K-mediated negative feedback regulates Drosophila motor neuron excitabilityPreprint
Howlett, E. L., Lin, C. C.-J., Lavery, W. J., & Stern, M. (2008) · Nature Precedings · doi:10.1038/npre.2008.1767.1 · Cited by 1
Reactive Oxygen Species Regulate Activity-Dependent Neuronal Structural Plasticity in DrosophilaPreprint
Oswald, M. C. W., Brooks, P. S., Zwart, M., Mukherjee, A., West, R. J. H., Morarach, K., Sweeney, S. T., & Landgraf, M. (2016) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/081968 · Cited by 3
Connolly, K. J., O'Hare, M. B., Mohammed, A., Aitchison, K. M., Anthoney, N. C., Taylor, M. J., Stewart, B. A., Tuxworth, R. I., & Tear, G. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/278895 · Cited by 1
Homeostatic plasticity rules that compensate for cell size are susceptible to channel deletionPreprint
Gorur-Shandilya, S., Marder, E. E., & O’Leary, T. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/753608 · Cited by 1
Molecular and circuit analysis of stable contrast processing in the visual system
Gür, B. (2022) · eDiss (Georg-August-Universität Göttingen) · doi:10.53846/goediss-9376
Bridi, M., Hong, S. Z., Severín, D., & Kirkwood, A. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.12.01.518760 · Cited by 1
Aghi, K., Schultz, R., Newman, Z. L., Mendonça, P. R. F., Li, R., Bakshinska, D., & Isacoff, E. Y. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.09.11.612562 · Cited by 1
Trpevski, D., Kotaleski, J. H., & Hennig, M. H. (2026) · doi:10.22541/au.177101771.17633188/v1 · Cited by 1
Robust PHP in Adult Hippocampus: Essential Assay OptimizationsPreprint
Chipman, P. H., Fetter, R. D., Ragozzino, F. J., Lee, U., & Davis, G. W. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.03.12.711375 · Cited by 1
Self-citationActivity-Dependent Regulation of Ether á … go-go K+ Channels.
Marble, D. D. (2008) · Deep Blue (University of Michigan)
Retrograde Transsynaptic Influences
Davis, G. W. (2009) · Elsevier eBooks · doi:10.1016/b978-008045046-9.00351-x
Self-citationThe Investigation on the Mechanism of Neuroprotection by Adenosine in 1,3-Dinitrobenzene Toxicity.
Wang, Y. (2012) · Deep Blue (University of Michigan)
The role of Polo-like kinase 2 in synaptic function and plasticity
Seeburg, D. P. (2007) · DSpace@MIT (Massachusetts Institute of Technology)
A D. melanogaster parkin mutant larval model of Parkinson's Disease
Vincent, A. (2013) · White Rose eTheses Online (University of Leeds, The University of Sheffield, University of York)
Assembling Neural Circuits for Generating Movement
Thirumalai, V. (2012) · Journal of the Indian Institute of Science
Computação por assembleias neurais em redes neurais pulsadas.
Ribeiro, J. H. R. (2011) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.3.2011.tde-16032012-112119
Cao, D., Cao, J., Hao, W., & Xu, L. (2009) · Zoological Research · doi:10.3724/sp.j.1141.2009.04396
Slamdance: seizing a fly model for epilepsy
Karunanithi, S., & van Swinderen, B. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00382.2011
Modeling towards homeostatic plasticity in neuronal activities
Fernando, S., Matsuzaki, S., & Marasinghe, A. (2009) · Artificial Life and Robotics · doi:10.1007/s10015-009-0667-0
Genetic dissections of active zone proteins
Liu, K. S. Y. (2012) · Universitätsbibliothek der FU Berlin Hochschulschriftenstelle u. Dokumentenserver · doi:10.17169/refubium-5898
Synaptic Plasticity as Agent Communication
Fernando, S., Nakamura, Y., Matsuzaki, S., & Marasinghe, A. (2009) · International Conference on Biometrics and Kansei Engineering (ICBAKE) · doi:10.1109/icbake.2009.15
Tinnitus-related hyperactivity through homeostatic plasticity in the auditory pathway
Schaette, R., & Kempter, R. (2007) · BMC Neuroscience · doi:10.1186/1471-2202-8-s2-p89
Sweedler, J., Ludwar, B. C., & Weiss, K. R. (2010)
Chouhan, A. K., & Schweizer, F. (2014)
MSK1RegulatesHomeostaticandExperience-Dependent SynapticPlasticity
Correa, L., Morris, M. T., & SimonC, J. (2012)
Homeostatic Synaptic Scaling at Central Synapses
Desai, N. S., & Walcott, E. C. (2015) · Oxford University Press eBooks · doi:10.1093/med/9780199322299.003.0007
Implantable Optical Neural Interface
Jun, S. B., & Lim, Y. (2016) · Springer eBooks · doi:10.1007/978-3-319-33201-7_9
Hebbian plasticity at neuromuscular synapses of Drosophila
Noether, E., & Kittel, R. J. (2013) · Online Publication Service of Würzburg University (Würzburg University)
Soziale Signale erschnüffeln: chemische Kommunikation und das Vomeronasalorgan
Spehr, M. (2010) · e-Neuroforum · doi:10.1515/nf-2010-0106
The Control of temporally Urgent Movements
Lakhani, B. (2014) · Library and Archives Canada (Government of Canada)
Izumi, S., & Kondo, T. (2008) · Japanese Journal of Neurosurgery · doi:10.7887/jcns.17.519
Role of retinoic acid signaling in homeostatic synaptic plasticity
Sarti, F. (2013) · eScholarship (California Digital Library)
Molecular Mechanisms Regulating Local Protein Translation During Homeostatic Synaptic Plasticity
Soden, M. E. (2010) · eScholarship (California Digital Library)
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 ›
Are you an author, or do you see a problem with this page? Request a review