The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Activity-dependent scaling of quantal amplitude in neocortical neurons
Abstract
Information is stored in neural circuits through long-lasting changes in synaptic strengths. Most studies of information storage have focused on mechanisms such as long-term potentiation and depression (LTP and LTD), in which synaptic strengths change in a synapse-specific manner. In contrast, little attention has been paid to mechanisms that regulate the total synaptic strength of a neuron. Here we describe a new form of synaptic plasticity that increases or decreases the strength of all of a neuron's synaptic inputs as a function of activity. Chronic blockade of cortical culture activity increased the amplitude of miniature excitatory postsynaptic currents (mEPSCs) without changing their kinetics. Conversely, blocking GABA (gamma-aminobutyric acid)-mediated inhibition initially raised firing rates, but over a 48-hour period mESPC amplitudes decreased and firing rates returned to close to control values. These changes were at least partly due to postsynaptic alterations in the response to glutamate, and apparently affected each synapse in proportion to its initial strength. Such 'synaptic scaling' may help to ensure that firing rates do not become saturated during developmental changes in the number and strength of synaptic inputs, as well as stabilizing synaptic strengths during Hebbian modification and facilitating competition between synapses.
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
“There is compelling evidence from experiments in neuronal cultures that central neurons are able to maintain average firing rates around a homeostatic set point.”
From Homeostatic Synaptic Plasticity: Local and Global Mechanisms for Stabilizing Neuronal Function (2012) · cites this paper as Turrigiano et al. 1998
In the citing paper
“One such mechanism is synaptic scaling, which allows neurons to detect changes in their own firing rates through a set of calcium-dependent sensors that then regulate receptor trafficking to increase or decrease the accumulation of glutamate receptors at synaptic sites.”
From Homeostatic Synaptic Plasticity: Local and Global Mechanisms for Stabilizing Neuronal Function (2012) · cites this paper as Turrigiano et al. 1998
In the citing paper
“When cortical or hippocampal neurons are induced to fire more than normal, over many hours firing returns to baseline levels, and similarly, if neuronal firing is reduced over time, neurons compensate and again firing is restored (Fig. 1A) (Turrigiano et al. 1998;Burrone et al. 2002).”
From Homeostatic Synaptic Plasticity: Local and Global Mechanisms for Stabilizing Neuronal Function (2012) · cites this paper as Turrigiano et al. 1998
In the citing paper
“Synaptic scaling was first identified in cultured neocortical neurons, where it was observed that perturbing network activity generated compensatory changes in synaptic strength that were in the right direction to restore average firing rates to baseline values (Turrigiano et al. 1998).”
From Homeostatic Synaptic Plasticity: Local and Global Mechanisms for Stabilizing Neuronal Function (2012) · cites this paper as Turrigiano et al. 1998
In the citing paper
“by measuring minis arising from many synapses onto the same neuron, it was observed that modulating network activity induced uniform increases or decreases in the entire mini amplitude distribution, in effect scaling postsynaptic strength up or down (Turrigiano et al. 1998;Desai et al. 2002;Gainey et al. 2009).”
From Homeostatic Synaptic Plasticity: Local and Global Mechanisms for Stabilizing Neuronal Function (2012) · cites this paper as Turrigiano et al. 1998
In the citing paper
“Interestingly, the same manipulation (activity blockade using TTX or AMPAR antagonists) that only affects mini amplitude in young cultures (Turrigiano et al. 1998;Wierenga et al. 2005) can also induce changes in mini frequency and in presynaptic release probability in older neuronal cultures (Wierenga et al. 2006), through a process that involves postsynaptic hyperpolarization and a drop in”
From Homeostatic Synaptic Plasticity: Local and Global Mechanisms for Stabilizing Neuronal Function (2012) · cites this paper as Turrigiano et al. 1998
In the citing paper
“Synaptic scaling has now been shown in a variety of central neurons both in vitro and in vivo, including neocortical and hippocampal pyramidal neurons and spinal neurons (O'Brien et al. 1998;Turrigiano et al. 1998;Desai et al. 2002;Stellwagen and Malenka 2006;Goel and Lee 2007;Kim and Tsien 2008;Knogler et al. 2010).”
From Homeostatic Synaptic Plasticity: Local and Global Mechanisms for Stabilizing Neuronal Function (2012) · cites this paper as Turrigiano et al. 1998
In the citing paper
“Although in neocortical networks the net effects of changes in excitation and inhibition appear to be homeostatic (Rutherford et al. 1998;Turrigiano et al. 1998;Maffei et al. 2004), different classes of inhibitory synapse are regulated differently by lowered activity.”
From Homeostatic Synaptic Plasticity: Local and Global Mechanisms for Stabilizing Neuronal Function (2012) · cites this paper as Turrigiano et al. 1998
In the citing paper
“In response to chronic hyperactivity or hypoactivity, neurons can engage homeostatic scaling-down or scaling-up respectively, in which the strength of excitatory synapses on a neuron is globally modified to maintain neuronal activity in a physiological range (O'Brien et al., 1998, Turrigiano et al., 1998, Turrigiano, 2008).”
From The AMPA Receptor Code of Synaptic Plasticity (2018) · cites this paper as Turrigiano et al., 1998
In the citing paper
“Sample sizes were initially determined based on prior work using social interaction54,65 and intrinsic physiology62, no formal statistical methods were used to pre-determine sample sizes.”
From Insular cortex mediates approach and avoidance responses to social affective stimuli (2018) · cites this paper as [62]
Citations
Cites
Bienenstock, E., Cooper, L., & Munro, P. (1982) · The Journal of Neuroscience · doi:10.1523/jneurosci.02-01-00032.1982 · Cited by 2,896
Liao, D., Hessler, N. A., & Malinow, R. (1995) · Nature · doi:10.1038/375400a0 · Cited by 1,365
Regulatory phosphorylation of AMPA-type glutamate receptors by CaM-KII during long-term potentiation
Barria, A., Muller, D., Derkach, V., Griffith, L. C., & Soderling, T. R. (1997) · Science · doi:10.1126/science.276.5321.2042 · Cited by 1,049
Impulse activity and the patterning of connections during cns development
Shatz, C. J. (1990) · Neuron · doi:10.1016/0896-6273(90)90333-b · Cited by 766
A study of supersensitivity in denervated mammalian skeletal muscle
Axelsson, J., & Thesleff, S. (1959) · The Journal of Physiology · doi:10.1113/jphysiol.1959.sp006233 · Cited by 732
A Physiological Mechanism for Hebb's Postulate of Learning
Stent, G. S. (1973) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.70.4.997 · Cited by 710
Mechanisms Underlying Long-Term Potentiation of Synaptic Transmission
Madison, D. V., Malenka, R. C., & Nicoll, R. A. (1991) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.14.030191.002115 · Cited by 617
Maturation of a Central Glutamatergic Synapse
Wu, G.-Y., Malinow, R., & Cline, H. T. (1996) · Science · doi:10.1126/science.274.5289.972 · Cited by 546
Linden, D. J., & Connor, J. A. (1995) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.18.030195.001535 · Cited by 519
The formation and maturation of synapses in the visual cortex of the rat. II. Quantitative analysis
Blue, M. E., & Parnavelas, J. G. (1983) · Journal of Neurocytology · doi:10.1007/bf01181531 · Cited by 506
Flagged first, then by citations
Research works printed but not linked: 2
- Hebb, D. O. The Organization of Behavior: a Neurophysiological Theory (Wiley, New York, 1949).
- Axelsson, J. & Thesleff, S. Astudy of supersensitivity in denervated mammalian skeletal muscle. J.Physiol. (Lond.) 149, 178–193 (1957).
Cited by
Sorted by citations
Items 401–500 of 2,247
Mandolesi, G., Madeddu, F., Bozzi, Y., Maffei, L., & Ratto, G. M. (2004) · The FASEB Journal · doi:10.1096/fj.04-1805fje · Cited by 112
Schüz, A. (2002) · CRC Press eBooks · doi:10.1201/9780203299296 · Cited by 112
DNA methylation regulates neuronal glutamatergic synaptic scaling
Meadows, J. P., Guzman-Karlsson, M. C., Phillips, S., Holleman, C., Posey, J. L., Day, J. J., Hablitz, J. J., & Sweatt, J. D. (2015) · Science Signaling · doi:10.1126/scisignal.aab0715 · Cited by 111
PICK1 loss of function occludes homeostatic synaptic scaling
Anggono, V., Clem, R. L., & Huganir, R. L. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.5633-10.2011 · Cited by 111
Rac1 Induces the Clustering of AMPA Receptors during Spinogenesis
Wiens, K. M., Lin, H., & Liao, D. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.1947-05.2005 · Cited by 111
Peng, Y., He, S., Marie, H., Zeng, S.-Y., Ma, J., Tan, Z.-J., Lee, S. Y., Malenka, R. C., & Yu, X. (2009) · Neuron · doi:10.1016/j.neuron.2008.11.015 · Cited by 111
Seeburg, D. P., & Sheng, M. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.1853-08.2008 · Cited by 111
Extracellular matrix in plasticity and epileptogenesis
Dityatev, A. E., & Fellin, T. (2008) · Neuron Glia Biology · doi:10.1017/s1740925x09000118 · Cited by 111
Steady or changing? Long-term monitoring of neuronal population activity
Lütcke, H., Margolis, D. J., & Helmchen, F. (2013) · Trends in Neurosciences · doi:10.1016/j.tins.2013.03.008 · Cited by 112
Homeostatic Maintenance of Neuronal Excitability by Burst Discharges In Vivo
Buzsáki, G. (2002) · Cerebral Cortex · doi:10.1093/cercor/12.9.893 · Cited by 111
Spike-timing-dependent plasticity: common themes and divergent vistas
Kepecs, Á., van Rossum, M. C. W., Song, S., & Tegner, J. N. (2002) · Biological Cybernetics · doi:10.1007/s00422-002-0358-6 · Cited by 111
Face Image Analysis by Unsupervised Learning
Bartlett, M. S. (2001) · Springer eBooks · doi:10.1007/978-1-4615-1637-8 · Cited by 111
Fuss, J., Ben Abdallah, N. M. B., Hensley, F. W., Weber, K.-J., Hellweg, R., & Gass, P. (2010) · PLoS ONE · doi:10.1371/journal.pone.0012769 · Cited by 110
“In this context, reduced c-Fos levels in animals with higher trait anxiety could be a consequence of synaptic scaling [47].”
BackgroundPfeil, T., Potjans, T. C., Schrader, S., Potjans, W., Schemmel, J., Diesmann, M., & Meier, K. (2012) · Frontiers in Neuroscience · doi:10.3389/fnins.2012.00090 · Cited by 110
Opposing Effects of Neuronal Activity on Structural Plasticity
Fauth, M. J., & Tetzlaff, C. (2016) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2016.00075 · Cited by 110
Zhang, Z., Marro, S. G., Zhang, Y., Arendt, K. L., Patzke, C., Zhou, B., Fair, T., Yang, N., Südhof, T. C., Wernig, M., et al. (2018) · Science Translational Medicine · doi:10.1126/scitranslmed.aar4338 · Cited by 110
TNF-Mediated Homeostatic Synaptic Plasticity: From in vitro to in vivo Models
Heir, R., & Stellwagen, D. (2020) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2020.565841 · Cited by 109
Swanwick, C. C., Murthy, N. R., & Kapur, J. (2005) · Molecular and Cellular Neuroscience · doi:10.1016/j.mcn.2005.11.002 · Cited by 110
Spatial memory impairments in a prediabetic rat model
Soares, E. F. P., Prediger, R. D., Nunes, S., de Castro, A. A., Viana, S., Lemos, C., Souza, C. M. D. A., Agostinho, P. M., Cunha, R. A., Carvalho, E., et al. (2013) · Neuroscience · doi:10.1016/j.neuroscience.2013.07.055 · Cited by 110
The aging mouse brain: cognition, connectivity and calcium
Radulescu, C. I., Cerar, V., Haslehurst, P., Kopanitsa, M. V., & Barnes, S. J. (2021) · Cell Calcium · doi:10.1016/j.ceca.2021.102358 · Cited by 109
Lee, D., & O’Dowd, D. K. (1999) · Journal of Neuroscience · doi:10.1523/jneurosci.19-13-05311.1999 · Cited by 109
Ivanov, A., Esclapez, M., Pellegrino, C., Shirao, T., & Ferhat, L. (2009) · Journal of Cell Science · doi:10.1242/jcs.033464 · Cited by 109
Multiple shared mechanisms for homeostatic plasticity in rodent somatosensory and visual cortex
Gainey, M. A., & Feldman, D. E. (2017) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2016.0157 · Cited by 109
Chen, W. S., & Bear, M. F. (2006) · Neuropharmacology · doi:10.1016/j.neuropharm.2006.07.003 · Cited by 108
Interplay between population firing stability and single neuron dynamics in hippocampal networks
Slomowitz, E., Styr, B., Vertkin, I., Milshtein-Parush, H., Nelken, I., Slutsky, M., & Slutsky, I. (2015) · eLife · doi:10.7554/elife.04378 · Cited by 108
Learning with two sites of synaptic integration
Kording, K. P., & Peter König, B. (2000) · Network Computation in Neural Systems · doi:10.1088/0954-898x_11_1_302 · Cited by 107
Hou, Q., Gilbert, J. P., & Man, H. (2011) · Neuron · doi:10.1016/j.neuron.2011.10.011 · Cited by 107
Roudi, Y., & Latham, P. E. (2005) · PLoS Computational Biology · doi:10.1371/journal.pcbi.0030141 · Cited by 107
Different forms of homeostatic plasticity are engaged with distinct temporal profiles
Karmarkar, U. R., & Buonomano, D. V. (2006) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2006.04692.x · Cited by 107
Neuroimmune regulation of homeostatic synaptic plasticity
Pribiag, H., & Stellwagen, D. (2014) · Neuropharmacology · doi:10.1016/j.neuropharm.2013.06.008 · Cited by 106
MicroRNA miR124 is required for the expression of homeostatic synaptic plasticity
Hou, Q., Ruan, H., Gilbert, J. P., Wang, G., Ma, Q., Yao, W., & Man, H. (2015) · Nature Communications · doi:10.1038/ncomms10045 · Cited by 106
Astrocytes in Alzheimer's Disease: Emerging Roles in Calcium Dysregulation and Synaptic Plasticity
Vincent, A. J., Gasperini, R., Foa, L. C., & Small, D. H. (2010) · Journal of Alzheimer s Disease · doi:10.3233/jad-2010-101089 · Cited by 106
Amyloid β peptide adversely affects spine number and motility in hippocampal neurons
Shrestha, B. R., Vitolo, O. V., Joshi, P., Lordkipanidze, T. G., Shelanski, M. L., & Dunaevsky, A. (2006) · Molecular and Cellular Neuroscience · doi:10.1016/j.mcn.2006.07.011 · Cited by 106
Wang, H.-L., Zhang, Z., Hintze, M., & Chen, L. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.3964-11.2011 · Cited by 106
Distributed synchrony in a cell assembly of spiking neurons
Levy, N., Horn, D., Meilijson, I., & Ruppin, E. (2001) · Neural Networks · doi:10.1016/s0893-6080(01)00044-2 · Cited by 106
Synaptic homeostasis and input selectivity follow from a calcium-dependent plasticity model
Yeung, L. C., Shouval, H. Z., Blais, B. S., & Cooper, L. N. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0405555101 · Cited by 106
Synaptopodin regulates denervation-induced homeostatic synaptic plasticity
Vlachos, A., Ikenberg, B. D., Lenz, M., Becker, D., Reifenberg, K., Orth, C. B., & Deller, T. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1213677110 · Cited by 105
Neural correlates of sparse coding and dimensionality reduction
Beyeler, M., Rounds, E. L., Carlson, K. D., Dutt, N., & Krichmar, J. L. (2019) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1006908 · Cited by 104
MEF-2 regulates activity-dependent spine loss in striatopallidal medium spiny neurons
Tian, X., Li, K., Hockberger, P. E., Wokosin, D. L., & Surmeier, D. J. (2010) · Molecular and Cellular Neuroscience · doi:10.1016/j.mcn.2010.01.012 · Cited by 104
Gap Junctions and Epileptic Seizures – Two Sides of the Same Coin?
Volman, V., Perc, M., & Bazhenov, M. (2011) · PLoS ONE · doi:10.1371/journal.pone.0020572 · Cited by 104
Chen, L., Bao, S., Qiao, X., & Thompson, R. F. (1999) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.96.21.12132 · Cited by 104
Goel, A., Xu, L. W., Snyder, K. P., Song, L., Goenaga-Vazquez, Y., Megill, A., Takamiya, K., Huganir, R. L., & Lee, H.-K. (2011) · PLoS ONE · doi:10.1371/journal.pone.0018264 · Cited by 103
Gratz, S. J., Goel, P., Bruckner, J. J., Hernandez, R. X., Khateeb, K., Macleod, G. T., Dickman, D. K., & O’Connor-Giles, K. M. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.3068-18.2019 · Cited by 103
Sleep Promotes Downward Firing Rate Homeostasis
Pacheco, A. T., Bottorff, J., Gao, Y. B., & Turrigiano, G. G. (2020) · Neuron · doi:10.1016/j.neuron.2020.11.001 · Cited by 103
Self-citationMaffei, A., & Turrigiano, G. G. (2008) · Progress in brain research · doi:10.1016/s0079-6123(07)00012-x · Cited by 103
Self-citationEmbedding Multiple Trajectories in Simulated Recurrent Neural Networks in a Self-Organizing Manner
Liu, J. K., & Buonomano, D. V. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.2358-09.2009 · Cited by 103
Activity-Dependent Remodeling of Presynaptic Inputs by Postsynaptic Expression of Activated CaMKII
Pratt, K. G., Watt, A. J., Griffith, L. C., Nelson, S. B., & Turrigiano, G. G. (2003) · Neuron · doi:10.1016/s0896-6273(03)00422-7 · Cited by 102
Self-citationMechanisms of Homeostatic Synaptic Plasticity in vivo
Lee, H.-K., & Kirkwood, A. (2019) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2019.00520 · Cited by 101
Zheng, P., Christos Dimitrakakis, A., & Triesch, J. (2013) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002848 · Cited by 101
Formation of dendritic spines in cultured striatal neurons depends on excitatory afferent activity
Segal, M., Greenberger, V., & Korkotian, E. (2003) · European Journal of Neuroscience · doi:10.1046/j.1460-9568.2003.02696.x · Cited by 101
Chand, A. N., Galliano, E., Chesters, R., & Grubb, M. S. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.3515-14.2015 · Cited by 101
Emerging Roles of the Mitogen and Stress Activated Kinases MSK1 and MSK2
Reyskens, K. M. S. E., & Arthur, J. S. C. (2016) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2016.00056 · Cited by 101
Correlations in ion channel mRNA in rhythmically active neurons
Tobin, A.-E., Cruz-Bermúdez, N. D., Marder, E., & Schulz, D. J. (2009) · PLoS ONE · doi:10.1371/journal.pone.0006742 · Cited by 100
Upward synaptic scaling is dependent on neurotransmission rather than spiking
Fong, M., Newman, J. P., Potter, S. M., & Wenner, P. (2015) · Nature Communications · doi:10.1038/ncomms7339 · Cited by 100
Mitra, A., Mitra, S. S., & Tsien, R. W. (2011) · Nature Neuroscience · doi:10.1038/nn.3004 · Cited by 100
Homeostatic role of heterosynaptic plasticity: models and experiments
Chistiakova, M., Bannon, N. M., Chen, J., Bazhenov, M., & Volgushev, M. (2015) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2015.00089 · Cited by 100
LTP and adaptation to inactivity: Overlapping mechanisms and implications for metaplasticity
Thiagarajan, T. C., Lindskog, M., Malgaroli, A., & Tsien, R. W. (2007) · Neuropharmacology · doi:10.1016/j.neuropharm.2006.07.030 · Cited by 99
The Roles of Cortical Slow Waves in Synaptic Plasticity and Memory Consolidation
Miyamoto, D., Hirai, D., & Murayama, M. (2017) · Frontiers in Neural Circuits · doi:10.3389/fncir.2017.00092 · Cited by 97
Molecular mechanisms of homeostatic synaptic downscaling
Siddoway, B. A., Hou, H., & Xia, H. (2013) · Neuropharmacology · doi:10.1016/j.neuropharm.2013.07.009 · Cited by 97
Proteome dynamics during homeostatic scaling in cultured neurons
Dörrbaum, A. R., Alvarez‐Castelao, B., Nassim-Assir, B., Langer, J. D., & Schuman, E. M. (2020) · eLife · doi:10.7554/elife.52939 · Cited by 96
Bałkowiec, A., Kunze, D. L., & Katz, D. M. (2000) · Journal of Neuroscience · doi:10.1523/jneurosci.20-05-01904.2000 · Cited by 96
Brain plasticity in recovery from stroke: An MEG assessment
Tecchio, F., Zappasodi, F., Tombini, M., Oliviero, A., Pasqualetti, P., Vernieri, F., Ercolani, M., Pizzella, V., & Rossini, P. M. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.05.004 · Cited by 96
Transcranial Electrical Stimulation Accelerates Human Sleep Homeostasis
Reato, D., Gasca, F., Datta, A., Bikson, M., Marshall, L., & Parra, L. C. (2013) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002898 · Cited by 95
Schaette, R., & Kempter, R. (2009) · Journal of Neurophysiology · doi:10.1152/jn.91256.2008 · Cited by 95
Korai, S. A., Ranieri, F., Lazzaro, V. D., Papa, M., & Cirillo, G. (2021) · Frontiers in Neurology · doi:10.3389/fneur.2021.587771 · Cited by 95
Associative Memory with Dynamic Synapses
Pantic, L., Torres, J. J., Kappen, H. J., & Gielen, S. C. A. M. (2002) · Neural Computation · doi:10.1162/089976602760805331 · Cited by 95
Pathological Effect of Homeostatic Synaptic Scaling on Network Dynamics in Diseases of the Cortex
Frӧhlich, F., Bazhenov, M., & B, T. J. S. A. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.4263-07.2008 · Cited by 95
Histone Methylation by the Kleefstra Syndrome Protein EHMT1 Mediates Homeostatic Synaptic Scaling
Benevento, M., Iacono, G., Selten, M. M., Ba, W., Oudakker, A. R., Frega, M., Keller, J., Mancini, R., Lewerissa, E., Kleefstra, T., et al. (2016) · Neuron · doi:10.1016/j.neuron.2016.06.003 · Cited by 95
Schwartz, N., Schohl, A., & Ruthazer, E. S. (2009) · Neuron · doi:10.1016/j.neuron.2009.05.007 · Cited by 94
Joseph, A., & Turrigiano, G. G. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.0618-17.2017 · Cited by 94
Self-citationSingle-Neuron Discharge Properties and Network Activity in Dissociated Cultures of Neocortex
Giugliano, M., Darbon, P., Arsiero, M., Lüscher, H.-R., & Streit, J. (2004) · Journal of Neurophysiology · doi:10.1152/jn.00067.2004 · Cited by 94
Disruption of Balanced Cortical Excitation and Inhibition by Acoustic Trauma
Scholl, B., & Wehr, M. (2008) · Journal of Neurophysiology · doi:10.1152/jn.90406.2008 · Cited by 94
Thinking Globally, Acting Locally
Turrigiano, G. G., & Nelson, S. B. (1998) · Neuron · doi:10.1016/s0896-6273(00)80607-8 · Cited by 94
Self-citationActivity and Synaptic Receptor Targeting
Craig, A. M. (1998) · Neuron · doi:10.1016/s0896-6273(00)80555-3 · Cited by 94
Keck, T., Hübener, M., & Bonhoeffer, T. (2017) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2017.02.003 · Cited by 93
“While multiplicative scaling has been shown to occur in both reduced preparations (7,8) and following in vivo deprivation (9,10,13,30,31), this result does not necessarily mean that all synapses are changed by the same factor, as is often implicitly assumed.”
Timofeev, I., Grenier, F., Bazhenov, M., Houweling, A. R., Sejnowski, T. J., & Steriade, M. (2002) · The Journal of Physiology · doi:10.1113/jphysiol.2001.013479 · Cited by 93
Competition in the development of nerve connections: a review of models
van Ooyen, A. (2001) · Network Computation in Neural Systems · doi:10.1080/net.12.1.1.47 · Cited by 93
Emerging Link between Alzheimer’s Disease and Homeostatic Synaptic Plasticity
Jang, S.-S., & Chung, H. J. (2016) · Neural Plasticity · doi:10.1155/2016/7969272 · Cited by 93
Borodovitsyna, O., Flamini, M. D., & Chandler, D. J. (2018) · Neuroscience · doi:10.1016/j.neuroscience.2018.01.020 · Cited by 93
Kirov, S. A., Goddard, C. A., & Harris, K. M. (2004) · Neuropharmacology · doi:10.1016/j.neuropharm.2004.07.039 · Cited by 93
Retinoic Acid and LTP Recruit Postsynaptic AMPA Receptors Using Distinct SNARE-Dependent Mechanisms
Arendt, K. L., Zhang, Y., Jurado, S., Malenka, R. C., Südhof, T. C., & Chen, L. (2015) · Neuron · doi:10.1016/j.neuron.2015.03.009 · Cited by 92
Wang, G., Gilbert, J. P., & Man, H. (2012) · Neural Plasticity · doi:10.1155/2012/825364 · Cited by 91
Pneumonia-induced endothelial amyloids reduce dendritic spine density in brain neurons
Scott, A. M., Jager, A. C., Gwin, M. S., Voth, S. B., Balczon, R., Stevens, T., & Lin, M. T. (2020) · Scientific Reports · doi:10.1038/s41598-020-66321-1 · Cited by 91
Burkitt, A. N., Hamish Meffin, A., & Grayden, D. B. (2004) · Neural Computation · doi:10.1162/089976604773135041 · Cited by 91
Developmental homeostasis of mouse retinocollicular synapses
Chandrasekaran, A. R., Shah, R. D., & Crair, M. C. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.4383-06.2007 · Cited by 90
Homeostatic Strengthening of Inhibitory Synapses Is Mediated by the Accumulation of GABAAReceptors
Rannals, M. D., & Kapur, J. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.4476-11.2011 · Cited by 90
Penney, J., Tsurudome, K., Liao, E. H., Elazzouzi, F., Livingstone, M., González, M., Sonenberg, N., & Haghighi, A. P. (2012) · Neuron · doi:10.1016/j.neuron.2012.01.030 · Cited by 90
Wang, C.-C., Held, R. G., & Hall, B. J. (2013) · PLoS ONE · doi:10.1371/journal.pone.0083941 · Cited by 90
Peng, Y., Zeng, S.-Y., Song, H., Li, M.-Y., Yamada, M. K., & Yu, X. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.3085-10.2010 · Cited by 90
Reversible Induction of Phantom Auditory Sensations through Simulated Unilateral Hearing Loss
Schaette, R., Turtle, C., & Munro, K. J. (2012) · PLoS ONE · doi:10.1371/journal.pone.0035238 · Cited by 90
Impact of Cortical Network Activity on Short-term Synaptic Depression
Reig, R., Gallego, R., Nowak, L. G., & Sanchez-Vives, M. V. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhj014 · Cited by 90
Cortical reorganization consistent with spike timing–but not correlation-dependent plasticity
Young, J. M., Waleszczyk, W. J., Wang, C., Calford, M. B., Dreher, B., & Obermayer, K. (2007) · Nature Neuroscience · doi:10.1038/nn1913 · Cited by 90
Plasticity during sleep is linked to specific regulation of cortical circuit activity
Niethard, N., Burgalossi, A., & Born, J. (2017) · Frontiers in Neural Circuits · doi:10.3389/fncir.2017.00065 · Cited by 89
Erickson, J. D., De Gois, S., Varoqui, H., Schafer, M. K.-H., & Weihe, E. (2006) · Neurochemistry International · doi:10.1016/j.neuint.2005.12.029 · Cited by 89
Ghatak, S., Talantova, M. V., McKercher, S. R., & Lipton, S. A. (2020) · The Annual Review of Pharmacology and Toxicology · doi:10.1146/annurev-pharmtox-032320-015420 · Cited by 90
Garcia, A. J., Zanella, S., Koch, H., Doi, A., & Ramirez, J. (2011) · Progress in brain research · doi:10.1016/b978-0-444-53825-3.00008-5 · Cited by 89
Jiang, M., Zhu, J., Liu, Y., Yang, M., Tian, C., Jiang, S., Wang, Y., Guo, H., Wang, K., & Shu, Y. (2012) · PLoS Biology · doi:10.1371/journal.pbio.1001324 · Cited by 89
Face image analysis by unsupervised learning and redundancy reduction
Bartlett, M. S., & MacLeod, D. I. A. (1998) · Cited by 89
Cell adhesion and homeostatic synaptic plasticity
Thalhammer, A., & Cingolani, L. A. (2013) · Neuropharmacology · doi:10.1016/j.neuropharm.2013.03.015 · Cited by 88
Heterosynaptic Plasticity Determines the Set Point for Cortical Excitatory-Inhibitory Balance
Field, R. E., D’amour, J. A., Tremblay, R., Miehl, C., Rudy, B., Gjorgjieva, J., & Froemke, R. C. (2020) · Neuron · doi:10.1016/j.neuron.2020.03.002 · Cited by 91
Metadata
- Authors
- Turrigiano, G. G., Leslie, K. R., Desai, N. S., Rutherford, L. C., & Nelson, S. B.
- Affiliations
- Brandeis University (US)
- Corresponding author
- Turrigiano, Gina G.
- Venue
- Nature
- Published
- 1998-02
- Volume
- 391
- Issue
- 6670
- Pages
- 892-896
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W1514853588
- Semantic Scholar
- a2bfdaf93cc88c5d56c9b08b910e2e9e1fcfed40
- Cited by
- 2,226
- References
- 30
- Citations by year
- 2026: 53 · 2025: 96 · 2024: 86 · 2023: 76 · 2022: 91 · 2021: 107 · 2020: 110 · 2019: 89 · 2018: 101 · 2017: 97 · 2016: 74 · 2015: 115 · 2014: 91 · 2013: 118 · 2012: 84
- FWCI
- 18.53
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Keywords
- synaptic scaling, miniature excitatory postsynaptic currents, neocortical neurons, synaptic plasticity, GABAergic inhibition, glutamate response, firing rate, Hebbian learning, synaptic competition, long-term potentiation and depression, cortical development
- MeSH terms
- Animals, Bicuculline, Cells, Cultured, Membrane Potentials, Synaptic Transmission, Neuronal Plasticity, Tetrodotoxin, Visual Cortex, 2-Amino-5-phosphonovalerate, Receptors, N-Methyl-D-Aspartate, Pyramidal Cells, alpha-Amino-3-hydroxy-5-methyl-4-isoxazolepropionic Acid, Excitatory Amino Acid Antagonists, Glutamic Acid, GABA Antagonists, Rats
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
