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.
Integrity signals
Registry
Cites
Statistics
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?
Central neurons are able to maintain average firing rates around a homeostatic set point.
“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
Synaptic scaling allows neurons to detect changes in their own firing rates through calcium-dependent sensors that regulate receptor trafficking to increase or decrease accumulation of glutamate receptors at synaptic sites.
“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
When cortical or hippocampal neurons are induced to fire more than normal, over many hours firing returns to baseline levels; if neuronal firing is reduced over time, neurons compensate and firing is restored.
“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
Synaptic scaling was first identified in cultured neocortical neurons, where perturbing network activity generated compensatory changes in synaptic strength in the right direction to restore average firing rates to baseline values.
“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
Modulating network activity induces uniform increases or decreases in the entire mini amplitude distribution, scaling postsynaptic strength up or down.
“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
The same manipulation (activity blockade using TTX or AMPAR antagonists) that only affects mini amplitude in young cultures can also induce changes in mini frequency and presynaptic release probability in older neuronal cultures, through a process involving postsynaptic hyperpolarization and a drop in calcium influx.
“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
Synaptic scaling has been shown in a variety of central neurons both in vitro and in vivo, including neocortical and hippocampal pyramidal neurons and spinal neurons.
“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 neocortical networks, the net effects of changes in excitation and inhibition appear homeostatic.
“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 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.
“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
Sample sizes were initially determined based on prior work using social interaction and intrinsic physiology, and no formal statistical methods were used to pre-determine sample sizes.
“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]
Cites
Bienenstock, E., Cooper, L., & Munro, P. (1982) · The Journal of Neuroscience · doi:10.1523/jneurosci.02-01-00032.1982 · Cited by 2,896 · see citing works
Liao, D., Hessler, N. A., & Malinow, R. (1995) · Nature · doi:10.1038/375400a0 · Cited by 1,365 · see citing works
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 · see citing works
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 · see citing works
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 740 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
Linden, D. J., & Connor, J. A. (1995) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.18.030195.001535 · Cited by 510 · see citing works
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 508 · see citing works
Origin of variability in quantal size in cultured hippocampal neurons and hippocampal slices.
Bekkers, J. M., Richerson, G. B., & Stevens, C. F. (1990) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.87.14.5359 · Cited by 455 · see citing works
The Role of Constraints in Hebbian Learning
Miller, K. D., & MacKay, D. J. C. (1994) · Neural Computation · doi:10.1162/neco.1994.6.1.100 · Cited by 448 · see citing works
McGlade-McCulloh, E., Yamamoto, H., Tan, S.-E., Brickey, D. A., & Soderling, T. (1993) · Nature · doi:10.1038/362640a0 · Cited by 441 · see citing works
Hebbian synapses in visual cortex
Kirkwood, A., & Bear, M. F. (1994) · Journal of Neuroscience · doi:10.1523/jneurosci.14-03-01634.1994 · Cited by 412 · see citing works
Malgaroli, A., & Tsien, R. (1992) · Nature · doi:10.1038/357134a0 · Cited by 384 · see citing works
Rutherford, L. C., DeWan, A., Lauer, H. M., & Turrigiano, G. G. (1997) · The Journal of Neuroscience · doi:10.1523/jneurosci.17-12-04527.1997 · Cited by 381 · see citing works
Self-citationManabe, T., Renner, P., & Nicoll, R. A. (1992) · Nature · doi:10.1038/355050a0 · Cited by 366 · cited 1× · see citing works
“In contrast to LTP and other rapid potentiation protocol”
ResultSynaptic Economics: Competition and Cooperation in Synaptic Plasticity
Miller, K. D. (1996) · Neuron · doi:10.1016/s0896-6273(00)80169-5 · Cited by 307 · see citing works
Properties of synaptic transmission at single hippocampal synaptic boutons
Liu, G., & Tsien, R. W. (1995) · Nature · doi:10.1038/375404a0 · Cited by 302 · see citing works
Alterations in Synaptic Strength Preceding Axon Withdrawal
Colman, H., Nabekura, J., & Lichtman, J. W. (1997) · Science · doi:10.1126/science.275.5298.356 · Cited by 261 · see citing works
Hestrin, S. (1992) · Neuron · doi:10.1016/0896-6273(92)90250-h · Cited by 234 · see citing works
Berg, D. K., & Hall, Z. W. (1975) · The Journal of Physiology · doi:10.1113/jphysiol.1975.sp010818 · Cited by 159 · see citing works
Activity-Dependent Synaptic Competition in Vitro: Heterosynaptic Suppression of Developing Synapses
Lo, Y.-J., & Poo, M. (1991) · Science · doi:10.1126/science.1658939 · Cited by 155 · see citing works
An anatomical substrate for experience-dependent plasticity of the rat barrel field cortex.
Micheva, K. D., & Beaulieu, C. (1995) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.92.25.11834 · Cited by 142 · see citing works
Wyllie, D. J. A., Manabe, T., & Nicoll, R. A. (1994) · Neuron · doi:10.1016/0896-6273(94)90158-9 · Cited by 112 · see citing works
Pressure—volume relationships in the chest before and after death
Shephard, R. J. (1959) · The Journal of Physiology · doi:10.1113/jphysiol.1959.sp006333 · Cited by 100 · see citing works
Ramakers, G., Corner, M., & Habets, A. (2004) · Experimental Brain Research · doi:10.1007/bf00228885 · Cited by 75 · see citing works
Benson, D. L., & Cohen, P. A. (1996) · Journal of Neuroscience · doi:10.1523/jneurosci.16-20-06424.1996 · Cited by 73 · see citing works
Liang, F., & Jones, E. G. (1997) · Journal of Neuroscience · doi:10.1523/jneurosci.17-06-02168.1997 · Cited by 38 · see citing works
Gerfin-Moser, A., Grogg, F., Rietschin, L., Thompson, S. M., & Streit, P. (1995) · Neuroscience · doi:10.1016/0306-4522(95)00130-b · Cited by 36 · see citing works
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
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 · see citing works
Self-citationAMPA Receptor Trafficking and Synaptic Plasticity
Malinow, R., & Malenka, R. C. (2002) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.25.112701.142758 · Cited by 2,588 · see citing works
Synaptic plasticity: taming the beast
Abbott, L. F., & Nelson, S. B. (2000) · Nature Neuroscience · doi:10.1038/81453 · Cited by 2,263 · see citing works
Self-citationThe induction of pain: an integrative review
Millan, M. J. (1999) · Progress in Neurobiology · doi:10.1016/s0301-0082(98)00048-3 · Cited by 1,774 · see citing works
APP Processing and Synaptic Function
Kamenetz, F., Tomita, T., Hsieh, H., Seabrook, G., Borchelt, D., Iwatsubo, T., Sisodia, S., & Malinow, R. (2003) · Neuron · doi:10.1016/s0896-6273(03)00124-7 · Cited by 1,644 · see citing works
The self-tuning neuron: synaptic scaling of excitatory synapses
Turrigiano, G. G. (2008) · Cell · doi:10.1016/j.cell.2008.10.008 · Cited by 1,533 · see citing works
Self-citationNeural circular RNAs are derived from synaptic genes and regulated by development and plasticity
You, X., Vlatkovic, I., Babic, A., Will, T., Epstein, I., Tushev, G., Akbalik, G., Wang, M., Glock, C., Quedenau, C., et al. (2015) · Nature Neuroscience · doi:10.1038/nn.3975 · Cited by 1,149 · see citing works
Homeostatic Synaptic Plasticity: Local and Global Mechanisms for Stabilizing Neuronal Function
Turrigiano, G. (2012) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a005736 · Cited by 1,139 · see citing works
Self-citationPlaque-independent disruption of neural circuits in Alzheimer’s disease mouse models
Hsia, A. Y., Masliah, E., McConlogue, L., Yu, G.-Q., Tatsuno, G., Hu, K., Kholodenko, D., Malenka, R. C., Nicoll, R. A., & Mucke, L. (1999) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.96.6.3228 · Cited by 1,123 · see citing works
From the genetic architecture to synaptic plasticity in autism spectrum disorder
Bourgeron, T. (2015) · Nature Reviews Neuroscience · doi:10.1038/nrn3992 · Cited by 975 · see citing works
AMPARs and Synaptic Plasticity: The Last 25 Years
Huganir, R. L., & Nicoll, R. A. (2013) · Neuron · doi:10.1016/j.neuron.2013.10.025 · Cited by 968 · see citing works
Activity level controls postsynaptic composition and signaling via the ubiquitin-proteasome system
Ehlers, M. D. (2003) · Nature Neuroscience · doi:10.1038/nn1013 · Cited by 977 · see citing works
Plasticity in the intrinsic excitability of cortical pyramidal neurons
Desai, N. S., Rutherford, L. C., & Turrigiano, G. G. (1999) · Nature Neuroscience · doi:10.1038/9165 · Cited by 806 · see citing works
Self-citationThe AMPA Receptor Code of Synaptic Plasticity
Diering, G. H., & Huganir, R. L. (2018) · Neuron · doi:10.1016/j.neuron.2018.10.018 · Cited by 844 · see citing works
Dendritic Spine Pathology: Cause or Consequence of Neurological Disorders?
Fiala, J. C., Spacek, J., & Harris, K. M. (2002) · Brain Research Reviews · doi:10.1016/s0165-0173(02)00158-3 · Cited by 811 · see citing works
The role of the GluR2 subunit in AMPA receptor function and synaptic plasticity
Isaac, J. T. R., Ashby, M. C., & McBain, C. J. (2007) · Neuron · doi:10.1016/j.neuron.2007.06.001 · Cited by 802 · see citing works
Arc/Arg3.1 Mediates Homeostatic Synaptic Scaling of AMPA Receptors
Shepherd, J. D., Rumbaugh, G., Wu, J., Chowdhury, S., Plath, N., Kuhl, D., Huganir, R. L., & Worley, P. F. (2006) · Neuron · doi:10.1016/j.neuron.2006.08.034 · Cited by 779 · see citing works
Too many cooks? Intrinsic and synaptic homeostatic mechanisms in cortical circuit refinement
Turrigiano, G. (2011) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-060909-153238 · Cited by 671 · see citing works
Self-citationRegulatory mechanisms of AMPA receptors in synaptic plasticity
Derkach, V. A., Oh, M. C., Guire, E. S., & Soderling, T. R. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2055 · Cited by 708 · see citing works
How does nature program neuron types?
Borst, A. (2008) · Frontiers in Neuroscience · doi:10.3389/neuro.01.016.2008 · Cited by 705 · see citing works
Activity-dependent regulation of inhibitory synapse development by Npas4
Lin, Y., Bloodgood, B. L., Hauser, J. L., Lapan, A. D., Koon, A. C., Kim, T.-K., Hu, L. S., Malik, A. N., & Greenberg, M. E. (2008) · Nature · doi:10.1038/nature07319 · Cited by 639 · see citing works
The Postsynaptic Organization of Synapses
Sheng, M., & Kim, E. (2011) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a005678 · Cited by 603 · see citing works
Inactivity produces increases in neurotransmitter release and synapse size
Murthy, V. N., Schikorski, T., Stevens, C. F., & Zhu, Y. (2001) · Neuron · doi:10.1016/s0896-6273(01)00500-1 · Cited by 612 · see citing works
Unraveling mechanisms of homeostatic synaptic plasticity
Pozo, K., & Goda, Y. (2010) · Neuron · doi:10.1016/j.neuron.2010.04.028 · Cited by 565 · see citing works
Gao, R., & Penzes, P. (2015) · Current Molecular Medicine · doi:10.2174/1566524015666150303003028 · Cited by 516 · see citing works
“[39] discovered chronic activity blockade with tetrodotoxin (TTX) and bicuculline increased and decreased the amplitude of miniature excitatory postsynaptic currents (mEPSC) respectively in cultured neurons, while drug washout restored firing rates to control levels.”
BackgroundHOMEOSTATIC CONTROL OF NEURAL ACTIVITY: From Phenomenology to Molecular Design
Davis, G. W. (2006) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.28.061604.135751 · Cited by 543 · see citing works
Impaired Spatial Learning after Saturation of Long-Term Potentiation
Moser, E. I., Krobert, K. A., Moser, M.-B., & Morris, R. G. M. (1998) · Science · doi:10.1126/science.281.5385.2038 · Cited by 505 · see citing works
Plasticity of Cortical Excitatory-Inhibitory Balance
Froemke, R. C. (2015) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-071714-034002 · Cited by 458 · see citing works
Postnatal synaptic potentiation: delivery of GluR4-containing AMPA receptors by spontaneous activity
Zhu, J. J., Esteban, J. A., Hayashi, Y., & Malinow, R. (2000) · Nature Neuroscience · doi:10.1038/80614 · Cited by 437 · see citing works
Synaptic Dynamics in Analog VLSI
Bartolozzi, C., & Indiveri, G. (2007) · Neural Computation · doi:10.1162/neco.2007.19.10.2581 · Cited by 377 · see citing works
Opp, M. R. (2005) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2005.01.002 · Cited by 393 · see citing works
Memory without Feedback in a Neural Network
Goldman, M. S. (2009) · Neuron · doi:10.1016/j.neuron.2008.12.012 · Cited by 342 · see citing works
Liu, G. (2004) · Nature Neuroscience · doi:10.1038/nn1206 · Cited by 339 · see citing works
Homeostatic plasticity and NMDA receptor trafficking
Pérez-Otaño, I., & Ehlers, M. D. (2005) · Trends in Neurosciences · doi:10.1016/j.tins.2005.03.004 · Cited by 356 · see citing works
Presynaptic Regulation of Quantal Size by the Vesicular Glutamate Transporter VGLUT1
Wilson, N. R., Kang, J., Hueske, E. V., Leung, T., Varoqui, H., Murnick, J. G., Erickson, J. D., & Liu, G. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.3003-04.2005 · Cited by 335 · see citing works
Postsynaptic expression of homeostatic plasticity at neocortical synapses
Wierenga, C. J., Ibata, K., & Turrigiano, G. G. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.5217-04.2005 · Cited by 306 · see citing works
Self-citationInsular cortex mediates approach and avoidance responses to social affective stimuli
Rogers-Carter, M. M., Varela, J. A., Gribbons, K. B., Pierce, A. F., McGoey, M. T., Ritchey, M., & Christianson, J. P. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0071-y · Cited by 277 · see citing works
Multiple Modes of Network Homeostasis in Visual Cortical Layer 2/3
Maffei, A., & Turrigiano, G. G. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.5298-07.2008 · Cited by 282 · see citing works
Self-citationHomeostatic Control of Presynaptic Release Is Triggered by Postsynaptic Membrane Depolarization
Paradis, S., Sweeney, S. T., & Davis, G. W. (2001) · Neuron · doi:10.1016/s0896-6273(01)00326-9 · Cited by 242 · see citing works
Synaptic scaling requires the GluR2 subunit of the AMPA receptor
Gainey, M. A., Hurvitz-Wolff, J. R., Lambo, M. E., & Turrigiano, G. G. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.3753-08.2009 · Cited by 234 · see citing works
Self-citationPhotoinactivation of native AMPA receptors reveals their real-time trafficking
Adesnik, H., Nicoll, R. A., & England, P. M. (2005) · Neuron · doi:10.1016/j.neuron.2005.11.030 · Cited by 234 · see citing works
Synaptic regulation of translation of dendritic mRNAs
Schuman, E. M., Dynes, J. L., & Steward, O. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.1796-06.2006 · Cited by 230 · see citing works
The temporal paradox of Hebbian learning and homeostatic plasticity
Zenke, F., Gerstner, W., & Ganguli, S. (2017) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2017.03.015 · Cited by 201 · see citing works
Groc, L., Choquet, D., Stephenson, F. A., Verrier, D., Manzoni, O. J., & Chavis, P. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.1772-07.2007 · Cited by 225 · see citing works
Activity-Dependent Regulation of Synaptic AMPA Receptor Composition and Abundance by β3 Integrins
Cingolani, L. A., Thalhammer, A., Yu, L. M. Y., Catalano, M., Ramos, T., Colicos, M. A., & Goda, Y. (2008) · Neuron · doi:10.1016/j.neuron.2008.04.011 · Cited by 223 · see citing works
Bolton, M. M., Pittman, A. J., & Lo, D. C. (2000) · The Journal of Neuroscience · doi:10.1523/jneurosci.20-09-03221.2000 · Cited by 201 · see citing works
The role of metaplasticity mechanisms in regulating memory destabilization and reconsolidation
Finnie, P. S. B., & Nader, K. (2012) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2012.03.008 · Cited by 189 · see citing works
Targeting Homeostatic Synaptic Plasticity for Treatment of Mood Disorders
Kavalali, E. T., & Monteggia, L. M. (2020) · Neuron · doi:10.1016/j.neuron.2020.05.015 · Cited by 179 · see citing works
A Critical Role for GluN2B-Containing NMDA Receptors in Cortical Development and Function
Wang, C.-C., Held, R. G., Chang, S.-C., Yang, L., Delpire, E., Ghosh, A., & Hall, B. J. (2011) · Neuron · doi:10.1016/j.neuron.2011.09.023 · Cited by 180 · see citing works
Homeostatic regulation of AMPA receptor expression at single hippocampal synapses
Hou, Q., Zhang, D., Jarzylo, L., Huganir, R. L., & Man, H.-Y. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0706447105 · Cited by 179 · see citing works
Hirase, H., Leinekugel, X., Czurkó, A., Csicsvari, J., & Buzsáki, G. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.161274398 · Cited by 173 · see citing works
Toyoizumi, T., Miyamoto, H., Yazaki-Sugiyama, Y., Atapour, N., Hensch, T. K., & Miller, K. D. (2013) · Neuron · doi:10.1016/j.neuron.2013.07.022 · Cited by 158 · see citing works
Muscarinic modulation of striatal function and circuitry
Goldberg, J. A., Ding, J. B., & Surmeier, D. J. (2012) · Handbook of Experimental Pharmacology · doi:10.1007/978-3-642-23274-9_10 · Cited by 150 · see citing works
Reduction in endocannabinoid tone is a homeostatic mechanism for specific inhibitory synapses
Kim, J., & Alger, B. E. (2010) · Nature Neuroscience · doi:10.1038/nn.2517 · Cited by 149 · see citing works
A recurrent network model of somatosensory parametric working memory in the prefrontal cortex
Miller, P. (2003) · Cerebral Cortex · doi:10.1093/cercor/bhg101 · Cited by 144 · see citing works
Troyer, T. W., & Doupe, A. J. (2000) · Journal of Neurophysiology · doi:10.1152/jn.2000.84.3.1204 · Cited by 145 · see citing works
GluA2-lacking, calcium-permeable AMPA receptors--inducers of plasticity?
Man, H.-Y. (2011) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2011.01.001 · Cited by 142 · see citing works
A review of hyperacusis and future directions: part II. Measurement, mechanisms, and treatment
Pienkowski, M., Tyler, R. S., Roncancio, E. R., Jun, H. J., Brozoski, T., Dauman, N., Coelho, C. B., Andersson, G., Keiner, A. J., Cacace, A. T., et al. (2014) · American Journal of Audiology · doi:10.1044/2014_aja-13-0037 · Cited by 138 · see citing works
Maghsoodi, B., Poon, M. M., Nam, C. I., Aoto, J., Ting, P., & Chen, L. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0804801105 · Cited by 138 · see citing works
Neuronal network dysfunction in a model for Kleefstra syndrome mediated by enhanced NMDAR signaling
Frega, M., Linda, K., Keller, J. M., Gümüş-Akay, G., Mossink, B., van Rhijn, J.-R., Negwer, M., Klein Gunnewiek, T., Foreman, K., Kompier, N., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-12947-3 · Cited by 137 · see citing works
Tripodi, M., Evers, J. F., Mauss, A., Bate, M., & Landgraf, M. (2008) · PLoS Biology · doi:10.1371/journal.pbio.0060260 · Cited by 124 · see citing works
Beauparlant, J., van den Brand, R., Barraud, Q., Friedli, L., Musienko, P., Dietz, V., & Courtine, G. (2013) · Brain · doi:10.1093/brain/awt204 · Cited by 130 · see citing works
Comparison of computational models of familiarity discrimination in the perirhinal cortex
Bogacz, R., & Brown, M. W. (2003) · Hippocampus · doi:10.1002/hipo.10093 · Cited by 134 · see citing works
Postsynaptic Depolarization Scales Quantal Amplitude in Cortical Pyramidal Neurons
Leslie, K. R., Nelson, S. B., & Turrigiano, G. G. (2001) · The Journal of Neuroscience · doi:10.1523/jneurosci.21-19-j0005.2001 · Cited by 128 · see citing works
Self-citationTobinick, E. (2009) · CNS Drugs · doi:10.2165/11310810-000000000-00000 · Cited by 117 · see citing works
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 · see citing works
Neuroimmune regulation of homeostatic synaptic plasticity
Pribiag, H., & Stellwagen, D. (2014) · Neuropharmacology · doi:10.1016/j.neuropharm.2013.06.008 · Cited by 106 · see citing works
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 · see citing works
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 · see citing works
“In this context, reduced c-Fos levels in animals with higher trait anxiety could be a consequence of synaptic scaling [47].”
BackgroundJoseph, A., & Turrigiano, G. G. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.0618-17.2017 · Cited by 94 · see citing works
Self-citationKeck, T., Hübener, M., & Bonhoeffer, T. (2017) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2017.02.003 · Cited by 93 · see citing works
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 · see citing works
Mechanisms 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 · see citing works
Homeostatic mechanisms regulate distinct aspects of cortical circuit dynamics
Wu, Y. K., Hengen, K. B., Turrigiano, G. G., & Gjorgjieva, J. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1918368117 · Cited by 86 · see citing works
Self-citationSchwartz, N., Schohl, A., & Ruthazer, E. S. (2009) · Neuron · doi:10.1016/j.neuron.2009.05.007 · Cited by 94 · see citing works
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 · see citing works
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 · see citing works
Visualizing synaptic plasticity in vivo by large-scale imaging of endogenous AMPA receptors
Graves, A. R., Roth, R. H., Tan, H. L., Zhu, Q., Bygrave, A. M., Lopez-Ortega, E., Hong, I., Spiegel, A. C., Johnson, R. C., Vogelstein, J. T., et al. (2021) · eLife · doi:10.7554/elife.66809 · Cited by 84 · see citing works
Scudder, S. L., Goo, M. S., Cartier, A. E., Molteni, A., Schwarz, L. A., Wright, R., & Patrick, G. N. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.2452-14.2014 · Cited by 81 · see citing works
Cysteine String Protein-α Prevents Activity-Dependent Degeneration in GABAergic Synapses
García-Junco-Clemente, P., Cantero, G., Gómez-Sánchez, L., Linares-Clemente, P., Martínez-López, J. A., Luján, R., & Fernández-Chacón, R. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.0924-10.2010 · Cited by 79 · see citing works
Ebihara, T., Kawabata, I., Usui, S., Sobue, K., & Okabe, S. (2003) · The Journal of Neuroscience · doi:10.1523/jneurosci.23-06-02170.2003 · Cited by 78 · see citing works
Lopez, J., Roffwarg, H. P., Dreher, A., Bissette, G., Karolewicz, B., & Shaffery, J. P. (2008) · Neuroscience · doi:10.1016/j.neuroscience.2008.01.072 · Cited by 71 · see citing works
Regulation of AMPA Receptor Trafficking by Protein Ubiquitination
Widagdo, J., Guntupalli, S., Jang, S. E., & Anggono, V. (2017) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2017.00347 · Cited by 68 · see citing works
Chapman, C. A., Nuwer, J. L., & Jacob, T. C. (2022) · Frontiers in Synaptic Neuroscience · doi:10.3389/fnsyn.2022.911020 · Cited by 62 · see citing works
Tereshko, L., Gao, Y., Cary, B. A., Turrigiano, G. G., & Sengupta, P. (2021) · eLife · doi:10.7554/elife.65427 · Cited by 60 · see citing works
Self-citationSynaptic Scaling Enables Dynamically Distinct Short- and Long-Term Memory Formation
Tetzlaff, C., Kolodziejski, C., Timme, M., Tsodyks, M., & Wörgötter, F. (2013) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003307 · Cited by 54 · see citing works
Anastasiades, P. G., & Butt, S. J. B. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.1262-12.2012 · Cited by 49 · see citing works
Mateos, J. M., Lüthi, A., Savic, N., Stierli, B., Streit, P., Gähwiler, B. H., & McKinney, R. A. (2007) · The Journal of Physiology · doi:10.1113/jphysiol.2006.120550 · Cited by 53 · see citing works
Rubio, F. J., Ampuero, E., Sandoval, R., Toledo, J., Pancetti, F., & Wyneken, U. (2013) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2013.00066 · Cited by 54 · see citing works
Hyperexcitability and homeostasis in fragile X Syndrome.
Liu, X., Kumar, V., Tsai, N.-P., & Auerbach, B. D. (2022) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2021.805929 · Cited by 53 · see citing works
Suzuki, K., Kim, J.-W., Nosyreva, E., Kavalali, E. T., & Monteggia, L. M. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109918 · Cited by 49 · see citing works
Ferreira, J. S., Schmidt, J., Rio, P., Águas, R., Rooyakkers, A., Li, K. W., Smit, A. B., Craig, A. M., & Carvalho, A. L. (2015) · The Journal of Neuroscience · doi:10.1523/jneurosci.3567-14.2015 · Cited by 50 · see citing works
Plasticity in the Hippocampus, Neurogenesis and Drugs of Abuse
Avchalumov, Y., & Mandyam, C. D. (2021) · Brain Sciences · doi:10.3390/brainsci11030404 · Cited by 49 · see citing works
How to scale down postsynaptic strength
Tatavarty, V., Sun, Q., & Turrigiano, G. G. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.1676-13.2013 · Cited by 50 · see citing works
Self-citationMemory, plasticity and sleep - A role for calcium permeable AMPA receptors?
Shepherd, J. D. (2012) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2012.00049 · Cited by 49 · see citing works
Rátkai, A., Tárnok, K., Aouad, H. E., Micska, B., Schlett, K., & Szücs, A. (2021) · Scientific Reports · doi:10.1038/s41598-021-82775-3 · Cited by 38 · see citing works
Wang, Z., Low, P. A., & Vernino, S. (2010) · Experimental Neurology · doi:10.1016/j.expneurol.2009.12.016 · Cited by 34 · see citing works
Synergistic excitability plasticity in cerebellar functioning
Ohtsuki, G., Shishikura, M., & Ozaki, A. (2020) · The FEBS Journal · doi:10.1111/febs.15355 · Cited by 27 · see citing works
Garcia-Bereguiain, M. A., Gonzalez-Islas, C., Lindsly, C., Butler, E., Hill, A. W., & Wenner, P. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.4025-12.2013 · Cited by 26 · see citing works
Gurung, S., Evans, A. J., Wilkinson, K. A., & Henley, J. M. (2018) · Journal of Cell Science · doi:10.1242/jcs.222273 · Cited by 26 · see citing works
- 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