Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Review Article
  • Published:

Homeostatic plasticity in the developing nervous system

Key Points

  • Neuronal activity often leads to changes in synaptic efficacy. However, such plasticity must be accompanied by homeostatic mechanisms that prevent neural activity from being driven towards runaway activity or quiescence. One potential homeostatic mechanism is the adjustment of synaptic excitability so that firing rates remain relatively constant.

  • At the neuromuscular junction, genetic alterations in synaptic transmission lead to compensatory changes. For example, a decrease in the number of synapses leads to a compensatory increase in quantal amplitude. Such mechanisms might normally adjust neuromuscular transmission during development to allow for changes in muscle growth or synaptic drive.

  • Similar phenomena have been seen in cultured networks of central neurons. Blocking spontaneous activity in cortical cultures results in hyperactivity when the block is lifted. One mechanism for such adjustment is the global regulation of excitatory synapses within a given neuron.

  • Synaptic strength can be measured by analysing miniature excitatory postsynaptic currents (mEPSCs), which result from spontaneous release of quanta of transmitter from individual vesicles. Chronic alterations in activity can increase or decrease the amplitude of mEPSCs. The amplitude seems to be scaled so that each synaptic strength is multiplied or divided by the same factor. Such multiplicative scaling should preserve the relative strengths of synapses.

  • Synaptic strength could be regulated through changes in postsynaptic receptor numbers, presynaptic transmitter release or reuptake, or the number of functional synapses. Evidence in favour of a change in receptor number includes the increase in mEPSC amplitude and in the response to glutamate application. It is unclear whether the homeostatic regulation of receptor numbers shares a signalling pathway with the insertion of receptors into the membrane by long-term potentiation (LTP).

  • Presynaptic changes in transmission are involved in homeostatic plasticity at the neuromuscular junction, but it is less clear whether they are involved in homeostasis in central neurons. In some circumstances, such as developing hippocampal cultures, changes in activity cause changes in the frequency of mEPSCs, as well as in their amplitude, indicating presynaptic alterations.

  • It is unclear how homeostatic plasticity is induced. Important questions include: whether homeostatic plasticity is cell-autonomous; how changes in activity are integrated and read out; and what intracellular signalling cascades generate global changes in synaptic strength.

  • The functioning of cortical networks requires a balance between excitatory and inhibitory inputs onto neurons. Homeostasis in recurrent networks seems to involve adjustments in the relative strengths of excitatory and inhibitory feedback. It seems that excitatory and inhibitory synapses are adjusted independently to maintain activity in the face of changes in drive.

  • Evidence that these mechanisms are important in vivo comes from the developing visual system. For example, during development, there is an inverse relationship between mEPSC frequency and amplitude, indicating that as synaptic drive increases, synaptic strength is reduced.

Abstract

Activity has an important role in refining synaptic connectivity during development, in part through 'Hebbian' mechanisms such as long-term potentiation and long-term depression. However, Hebbian plasticity is probably insufficient to explain activity-dependent development because it tends to destabilize the activity of neural circuits. How can complex circuits maintain stable activity states in the face of such destabilizing forces? An idea that is emerging from recent work is that average neuronal activity levels are maintained by a set of homeostatic plasticity mechanisms that dynamically adjust synaptic strengths in the correct direction to promote stability. Here we discuss evidence from a number of systems that homeostatic synaptic plasticity is crucial for processes ranging from memory storage to activity-dependent development.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Figure 1: The problem of stability in feedforward networks.
Figure 2: Stabilization of firing rates though global, homeostatic regulation of synaptic strengths.
Figure 3: Evidence for firing rate homeostasis in cultured networks.
Figure 4: Synaptic scaling induces a multiplicative change in the distribution of synaptic weights.
Figure 5: Changes in AMPA receptor accumulation.
Figure 6: Homeostatic regulation of the excitation–inhibition balance in cortical networks.

Similar content being viewed by others

References

  1. Cannon, W. B. The Wisdom of the Body (W. W. Norton, New York, 1932).

    Book  Google Scholar 

  2. Miller, K. D. Synaptic economics: competition and cooperation in synaptic plasticity. Neuron 17, 371–374 (1996).

    Article  CAS  PubMed  Google Scholar 

  3. Marder, E. & Prinz, A. A. Modeling stability in neuron and network function: the role of activity in homeostasis. Bioessays 24, 1145–1154 (2002).

    Article  CAS  PubMed  Google Scholar 

  4. Somers, D. C., Nelson, S. B. & Sur, M. An emergent model of orientation selectivity in cat visual cortical simple cells. J. Neurosci. 15, 5448–5465 (1995).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Renart, A., Song, P. & Wang, X. J. Robust spatial working memory through homeostatic synaptic scaling in heterogeneous cortical networks. Neuron 38, 473–485 (2003). This modelling study explores the role of homeostatic plasticity rules in stabilizing cortical network activity.

    Article  CAS  PubMed  Google Scholar 

  6. Soto-Trevino, C., Thoroughman, K. A., Marder, E. & Abbott, L. F. Activity-dependent modification of inhibitory synapses in models of rhythmic neural networks. Nature Neurosci. 4, 297–303 (2001).

    Article  CAS  PubMed  Google Scholar 

  7. von der Malsburg, C. Self-organization of orientation sensitive cells in the striate cortex. Kybernetik 14, 85–100 (1973).

    Article  CAS  PubMed  Google Scholar 

  8. Bienenstock, E. L., Cooper, L. N. & Munro, P. W. Theory for the development of neuron selectivity: orientation specificity and binocular interaction in visual cortex. J. Neurosci. 2, 32–48 (1982).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Miller, K. D. & MacKay, D. J. C. The role of constraints in Hebbian learning. Neural Comput. 6, 100–124 (1994).

    Article  Google Scholar 

  10. Oja, E. A simplified neuron model as a principal component analyzer. J. Math. Biol. 15, 267–273 (1982).

    Article  CAS  PubMed  Google Scholar 

  11. Bear, M. F. Mechanism for a sliding synaptic modification threshold. Neuron 15, 1–4 (1995).

    Article  CAS  PubMed  Google Scholar 

  12. Scanziani, M., Malenka, R. C. & Nicoll, R. A. Role of intercellular interactions in heterosynaptic long-term depression. Nature 380, 446–450 (1996).

    Article  CAS  PubMed  Google Scholar 

  13. Royer, S. & Pare, D. Conservation of total synaptic weight through balanced synaptic depression and potentiation. Nature 422, 518–522 (2003).

    Article  CAS  PubMed  Google Scholar 

  14. Abbott, L. F. & Nelson, S. B. Synaptic plasticity: taming the beast. Nature Neurosci. 3, 1178–1183 (2000).

    Article  CAS  PubMed  Google Scholar 

  15. LeMasson, G., Marder, E. & Abbott, L. F. Activity-dependent regulation of conductances in model neurons. Science 259, 1915–1917 (1993).

    Article  CAS  PubMed  Google Scholar 

  16. Zhang, W. & Linden, D. J. The other side of the engram: experience-driven changes in neuronal intrinsic excitability. Nature Rev. Neurosci. 4, 885–900 (2003).

    Article  CAS  Google Scholar 

  17. Berg, D. K. & Hall, Z. W. Increased extrajunctional acetylcholine sensitivity produced by chronic post-synaptic neuromuscular blockade. J. Physiol. (Lond.) 244, 659–676 (1975).

    Article  CAS  Google Scholar 

  18. Sharpless, S. K. Reorganization of function in the nervous system — use and disuse. Annu. Rev. Physiol. 26, 357–388 (1964).

    Article  CAS  PubMed  Google Scholar 

  19. Sharpless, S. K. Supersensitivity-like phenomena in the central nervous system. Fed. Proc. 34, 1990–1997 (1975).

    CAS  PubMed  Google Scholar 

  20. Axelsson, J. & Thesleff, S. A study of supersensitivity in denervated mammalian skeletal muscle. J. Physiol. (Lond.) 147, 178–193 (1959).

    Article  CAS  Google Scholar 

  21. Davis, G. W. & Bezprozvanny, I. Maintaining the stability of neural function: a homeostatic hypothesis. Annu. Rev. Physiol. 63, 847–869 (2001).

    Article  CAS  PubMed  Google Scholar 

  22. Davis, G. W., DiAntonio, A., Petersen, S. A. & Goodman, C. S. Postsynaptic PKA controls quantal size and reveals a retrograde signal that regulates presynaptic transmitter release in Drosophila. Neuron 20, 305–315 (1998).

    Article  CAS  PubMed  Google Scholar 

  23. Davis, G. W. & Goodman, C. S. Genetic analysis of synaptic development and plasticity: homeostatic regulation of synaptic efficacy. Curr. Opin. Neurobiol. 8, 149–156 (1998).

    Article  CAS  PubMed  Google Scholar 

  24. Davis, G. W. & Goodman, C. S. Synapse-specific control of synaptic efficacy at the terminals of a single neuron. Nature 392, 82–86 (1998).

    Article  CAS  PubMed  Google Scholar 

  25. Davis, G. W., Schuster, C. M. & Goodman, C. S. Genetic analysis of the mechanisms controlling target selection: target-derived Fasciclin II regulates the pattern of synapse formation. Neuron 19, 561–573 (1997).

    Article  CAS  PubMed  Google Scholar 

  26. Paradis, S., Sweeney, S. T. & Davis, G. W. Homeostatic control of presynaptic release is triggered by postsynaptic membrane depolarization. Neuron 30, 737–749 (2001).

    Article  CAS  PubMed  Google Scholar 

  27. Sandrock, A. W. Jr et al. Maintenance of acetylcholine receptor number by neuregulins at the neuromuscular junction in vivo. Science 276, 599–603 (1997).

    Article  PubMed  Google Scholar 

  28. Thoby-Brisson, M. & Simmers, J. Neuromodulatory inputs maintain expression of a lobster motor pattern-generating network in a modulation-dependent state: evidence from long-term decentralization in vitro. J. Neurosci. 18, 2212–2225 (1998).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Golowasch, J., Casey, M., Abbott, L. F. & Marder, E. Network stability from activity-dependent regulation of neuronal conductances. Neural Comput. 11, 1079–1096 (1999).

    Article  CAS  PubMed  Google Scholar 

  30. Chub, N. & O'Donovan, M. J. Blockade and recovery of spontaneous rhythmic activity after application of neurotransmitter antagonists to spinal networks of the chick embryo. J. Neurosci. 18, 294–306 (1998).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Corner, M. A. & Ramakers, G. J. Spontaneous firing as an epigenetic factor in brain development — physiological consequences of chronic tetrodotoxin and picrotoxin exposure on cultured rat neocortex neurons. Brain Res. Dev. Brain Res. 65, 57–64 (1992).

    Article  CAS  PubMed  Google Scholar 

  32. Ramakers, G. J., Corner, M. A. & Habets, A. M. Development in the absence of spontaneous bioelectric activity results in increased stereotyped burst firing in cultures of dissociated cerebral cortex. Exp. Brain Res. 79, 157–166 (1990). Perhaps the first demonstration that chronic activity blockade produces rebound hyperexcitability in central neuronal networks.

    Article  CAS  PubMed  Google Scholar 

  33. Ramakers, G. J., van Galen, H., Feenstra, M. G., Corner, M. A. & Boer, G. J. Activity-dependent plasticity of inhibitory and excitatory amino acid transmitter systems in cultured rat cerebral cortex. Int. J. Dev. Neurosci. 12, 611–621 (1994).

    Article  CAS  PubMed  Google Scholar 

  34. Van Den Pol, A. N., Obrietan, K. & Belousov, A. Glutamate hyperexcitability and seizure-like activity throughout the brain and spinal cord upon relief from chronic glutamate receptor blockade in culture. Neuroscience 74, 653–674 (1996).

    Article  CAS  PubMed  Google Scholar 

  35. Turrigiano, G. G., Leslie, K. R., Desai, N. S., Rutherford, L. C. & Nelson, S. B. Activity-dependent scaling of quantal amplitude in neocortical neurons. Nature 391, 892–896 (1998). The first experimental study to indicate that there is homeostatic synaptic plasticity at cortical synapses, and to demonstrate the homeostatic regulation of firing rates.

    Article  CAS  PubMed  Google Scholar 

  36. Burrone, J., O'Byrne, M. & Murthy, V. N. Multiple forms of synaptic plasticity triggered by selective suppression of activity in individual neurons. Nature 420, 414–418 (2002). This study showed that selectively hyperpolarizing the postsynaptic neuron while leaving presynaptic activity intact induces homeostatic regulation of firing rates.

    Article  CAS  PubMed  Google Scholar 

  37. Watt, A. J., van Rossum, M. C., MacLeod, K. M., Nelson, S. B. & Turrigiano, G. G. Activity coregulates quantal AMPA and NMDA currents at neocortical synapses. Neuron 26, 659–670 (2000).

    Article  CAS  PubMed  Google Scholar 

  38. Lissin, D. V. et al. Activity differentially regulates the surface expression of synaptic AMPA and NMDA glutamate receptors. Proc. Natl Acad. Sci. USA 95, 7097–7102 (1998).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. O'Brien, R. J. et al. Activity-dependent modulation of synaptic AMPA receptor accumulation. Neuron 21, 1067–1078 (1998). One of the first demonstrations that synaptic receptor number is increased and decreased by chronic changes in activity.

    Article  CAS  PubMed  Google Scholar 

  40. Katz, L. C. & Shatz, C. J. Synaptic activity and the construction of cortical circuits. Science 274, 1133–1138 (1996).

    Article  CAS  PubMed  Google Scholar 

  41. Shatz, C. J. Impulse activity and the patterning of connections during CNS development. Neuron 5, 745–756 (1990).

    Article  CAS  PubMed  Google Scholar 

  42. van Rossum, M. C., Bi, G. Q. & Turrigiano, G. G. Stable Hebbian learning from spike timing-dependent plasticity. J. Neurosci. 20, 8812–8821 (2000).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  43. Mainen, Z. F., Malinow, R. & Svoboda, K. Synaptic calcium transients in single spines indicate that NMDA receptors are not saturated. Nature 399, 151–155 (1999).

    Article  CAS  PubMed  Google Scholar 

  44. Liu, G., Choi, S. & Tsien, R. W. Variability of neurotransmitter concentration and nonsaturation of postsynaptic AMPA receptors at synapses in hippocampal cultures and slices. Neuron 22, 395–409 (1999).

    Article  CAS  PubMed  Google Scholar 

  45. McAllister, A. K. & Stevens, C. F. Nonsaturation of AMPA and NMDA receptors at hippocampal synapses. Proc. Natl Acad. Sci. USA 97, 6173–6178 (2000).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Bredt, D. S. & Nicoll, R. A. AMPA receptor trafficking at excitatory synapses. Neuron 40, 361–379 (2003).

    Article  CAS  PubMed  Google Scholar 

  47. Ehlers, M. D. Activity level controls postsynaptic composition and signaling via the ubiquitin-proteasome system. Nature Neurosci. 6, 231–242 (2003). The protein composition of postsynaptic densities was analysed to determine the effects of chronic changes in activity. Coupled changes in many postsynaptic density proteins were found, including receptors and their scaffolding and regulatory proteins.

    Article  CAS  PubMed  Google Scholar 

  48. Malinow, R. & Malenka, R. C. AMPA receptor trafficking and synaptic plasticity. Annu. Rev. Neurosci. 25, 103–126 (2002).

    Article  CAS  PubMed  Google Scholar 

  49. Shi, S., Hayashi, Y., Esteban, J. A. & Malinow, R. Subunit-specific rules governing AMPA receptor trafficking to synapses in hippocampal pyramidal neurons. Cell 105, 331–343 (2001).

    Article  CAS  PubMed  Google Scholar 

  50. Turrigiano, G. G. & Nelson, S. B. Thinking globally, acting locally: AMPA receptor turnover and synaptic strength. Neuron 21, 933–935 (1998).

    Article  CAS  PubMed  Google Scholar 

  51. Ehlers, M. D. Reinsertion or degradation of AMPA receptors determined by activity-dependent endocytic sorting. Neuron 28, 511–525 (2000).

    Article  CAS  PubMed  Google Scholar 

  52. Bekkers, J. M. & Stevens, C. F. NMDA and non-NMDA receptors are co-localized at individual excitatory synapses in cultured rat hippocampus. Nature 341, 230–233 (1989).

    Article  CAS  PubMed  Google Scholar 

  53. Myme, C. I., Sugino, K., Turrigiano, G. G. & Nelson, S. B. The NMDA-to-AMPA ratio at synapses onto layer 2/3 pyramidal neurons is conserved across prefrontal and visual cortices. J. Neurophysiol. 90, 771–779 (2003).

    Article  CAS  PubMed  Google Scholar 

  54. Umemiya, M., Senda, M. & Murphy, T. H. Behaviour of NMDA and AMPA receptor-mediated miniature EPSCs at rat cortical neuron synapses identified by calcium imaging. J. Physiol. (Lond.) 521, 113–122 (1999).

    Article  CAS  Google Scholar 

  55. Gil, Z. & Amitai, Y. Evidence for proportional synaptic scaling in neocortex of intact animals. Neuroreport 11, 4027–4031 (2000).

    Article  CAS  PubMed  Google Scholar 

  56. Nelson, S. B. & Sur, M. NMDA receptors in sensory information processing. Curr. Opin. Neurobiol. 2, 484–488 (1992).

    Article  CAS  PubMed  Google Scholar 

  57. Mu, Y., Ostuka, T., Horton, A. C., Scott, D. B. & Ehlers, M. D. Activity-dependent mRNA splicing controls ER export and synaptic delivery of NMDA receptors. Neuron 40, 581–594 (2003).

    Article  CAS  PubMed  Google Scholar 

  58. Bacci, A. et al. Chronic blockade of glutamate receptors enhances presynaptic release and downregulates the interaction between synaptophysin-synaptobrevin-vesicle-associated membrane protein 2. J. Neurosci. 21, 6588–6596 (2001).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  59. Kilman, V., van Rossum, M. C. & Turrigiano, G. G. Activity deprivation reduces miniature IPSC amplitude by decreasing the number of postsynaptic GABAA receptors clustered at neocortical synapses. J. Neurosci. 22, 1328–1337 (2002).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  60. Thiagarajan, T. C., Piedras-Renteria, E. S. & Tsien, R. W. α- and β-CaMKII. Inverse regulation by neuronal activity and opposing effects on synaptic strength. Neuron 36, 1103–1114 (2002).

    Article  CAS  PubMed  Google Scholar 

  61. Prange, O. & Murphy, T. H. Correlation of miniature synaptic activity and evoked release probability in cultures of cortical neurons. J. Neurosci. 19, 6427–6438. (1999).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  62. Eliot, L. S., Kandel, E. R. & Hawkins, R. D. Modulation of spontaneous transmitter release during depression and posttetanic potentiation of Aplysia sensory-motor neuron synapses isolated in culture. J. Neurosci. 14, 3280–3292 (1994).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  63. Kidokoro, Y. Roles of SNARE proteins and synaptotagmin I in synaptic transmission: studies at the Drosophila neuromuscular synapse. Neurosignals 12, 13–30 (2003).

    Article  CAS  PubMed  Google Scholar 

  64. Beique, J. C. & Andrade, R. PSD-95 regulates synaptic transmission and plasticity in rat cerebral cortex. J. Physiol. (Lond.) 546, 859–867 (2003).

    Article  CAS  Google Scholar 

  65. Murthy, V. N., Schikorski, T., Stevens, C. F. & Zhu, Y. Inactivity produces increases in neurotransmitter release and synapse size. Neuron 32, 673–682 (2001). This study suggests that one effect of inactivity is to increase synapse size.

    Article  CAS  PubMed  Google Scholar 

  66. Pratt, K. G., Watt, A. J., Griffith, L. C., Nelson, S. B. & Turrigiano, G. G. Activity-dependent remodeling of presynaptic inputs by postsynaptic expression of activated CaMKII. Neuron 39, 269–281 (2003).

    Article  CAS  PubMed  Google Scholar 

  67. Chen, C., Blitz, D. M. & Regehr, W. G. Contributions of receptor desensitization and saturation to plasticity at the retinogeniculate synapse. Neuron 33, 779–788 (2002).

    Article  CAS  PubMed  Google Scholar 

  68. Liao, D., Zhang, X., O'Brien, R., Ehlers, M. D. & Huganir, R. L. Regulation of morphological postsynaptic silent synapses in developing hippocampal neurons. Nature Neurosci. 2, 37–43 (1999).

    Article  CAS  PubMed  Google Scholar 

  69. Liao, D., Scannevin, R. H. & Huganir, R. Activation of silent synapses by rapid activity-dependent synaptic recruitment of AMPA receptors. J. Neurosci. 21, 6008–6017 (2001).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  70. Auger, C. & Marty, A. Quantal currents at single-site central synapses. J. Physiol. (Lond.) 526, 3–11 (2000).

    Article  CAS  Google Scholar 

  71. Oertner, T. G., Sabatini, B. L., Nimchinsky, E. A. & Svoboda, K. Facilitation at single synapses probed with optical quantal analysis. Nature Neurosci. 5, 657–664 (2002).

    Article  CAS  PubMed  Google Scholar 

  72. Wadiche, J. I. & Jahr, C. E. Multivesicular release at climbing fiber-Purkinje cell synapses. Neuron 32, 301–313 (2001).

    Article  CAS  PubMed  Google Scholar 

  73. Leslie, K. R., Nelson, S. B. & Turrigiano, G. G. Postsynaptic depolarization scales quantal amplitude in cortical pyramidal neurons. J. Neurosci. 21, RC170 (2001).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  74. Turrigiano, G., Abbott, L. F. & Marder, E. Activity-dependent changes in the intrinsic properties of cultured neurons. Science 264, 974–977 (1994).

    Article  CAS  PubMed  Google Scholar 

  75. Rutherford, L. C., Nelson, S. B. & Turrigiano, G. G. BDNF has opposite effects on the quantal amplitude of pyramidal neuron and interneuron excitatory synapses. Neuron 21, 521–530 (1998).

    Article  CAS  PubMed  Google Scholar 

  76. Rutherford, L. C., DeWan, A., Lauer, H. M. & Turrigiano, G. G. Brain-derived neurotrophic factor mediates the activity-dependent regulation of inhibition in neocortical cultures. J. Neurosci. 17, 4527–4535 (1997).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  77. Turrigiano, G. G. Homeostatic plasticity in neuronal networks: the more things change, the more they stay the same. Trends Neurosci. 22, 221–227 (1999).

    Article  CAS  PubMed  Google Scholar 

  78. Kriegstein, A. R. Synaptic responses of cortical pyramidal neurons to light stimulation in the isolated turtle visual system. J. Neurosci. 7, 2488–2492 (1987).

    CAS  PubMed  PubMed Central  Google Scholar 

  79. Chagnac-Amitai, Y. & Connors, B. W. Horizontal spread of synchronized activity in neocortex and its control by GABA-mediated inhibition. J. Neurophysiol. 61, 747–758 (1989).

    Article  CAS  PubMed  Google Scholar 

  80. Nelson, S. B. Temporal interactions in the cat visual system. III. Pharmacological studies of cortical suppression suggest a presynaptic mechanism. J. Neurosci. 11, 369–380 (1991).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  81. Kirkwood, A. & Bear, M. F. Hebbian synapses in visual cortex. J. Neurosci. 14, 1634–1645 (1994).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  82. Kirkwood, A. & Bear, M. F. Elementary forms of synaptic plasticity in the visual cortex. Biol. Res. 28, 73–80 (1995).

    CAS  PubMed  Google Scholar 

  83. Hensch, T. K. et al. Local GABA circuit control of experience-dependent plasticity in developing visual cortex. Science 282, 1504–1508 (1998).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  84. Huang, Z. J. et al. BDNF regulates the maturation of inhibition and the critical period of plasticity in mouse visual cortex. Cell 98, 739–755 (1999).

    Article  CAS  PubMed  Google Scholar 

  85. Marty, S., Berninger, B., Carroll, P. & Thoenen, H. GABAergic stimulation regulates the phenotype of hippocampal interneurons through the regulation of brain-derived neurotrophic factor. Neuron 16, 565–570 (1996).

    Article  CAS  PubMed  Google Scholar 

  86. Marty, S., Berzaghi Mda, P. & Berninger, B. Neurotrophins and activity-dependent plasticity of cortical interneurons. Trends Neurosci. 20, 198–202 (1997).

    Article  CAS  PubMed  Google Scholar 

  87. Desai, N. S., Cudmore, R. H., Nelson, S. B. & Turrigiano, G. G. Critical periods for experience-dependent synaptic scaling in visual cortex. Nature Neurosci. 5, 783–789 (2002). This study shows that visual deprivation scales up excitatory synaptic strengths in vivo in a manner analagous to the effects of activity deprivation in culture.

    Article  CAS  PubMed  Google Scholar 

  88. Liu, G. & Tsien, R. W. Properties of synaptic transmission at single hippocampal synaptic boutons. Nature 375, 404–408 (1995).

    Article  CAS  PubMed  Google Scholar 

  89. Worley, P. F. et al. Constitutive expression of zif268 in neocortex is regulated by synaptic activity. Proc. Natl Acad. Sci. USA 88, 5106–5110 (1991).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  90. Caleo, M., Lodovichi, C. & Maffei, L. Effects of nerve growth factor on visual cortical plasticity require afferent electrical activity. Eur. J. Neurosci. 11, 2979–2984 (1999).

    Article  CAS  PubMed  Google Scholar 

  91. Caleo, M., Lodovichi, C., Pizzorusso, T. & Maffei, L. Expression of the transcription factor Zif268 in the visual cortex of monocularly deprived rats: effects of nerve growth factor. Neuroscience 91, 1017–1026 (1999).

    Article  CAS  PubMed  Google Scholar 

  92. Hubel, D. H. & Wiesel, T. N. The period of susceptibility to the physiological effects of unilateral eye closure in kittens. J. Physiol. (Lond.) 206, 419–436 (1970).

    Article  CAS  Google Scholar 

  93. Daw, N. W., Fox, K., Sato, H. & Czepita, D. Critical period for monocular deprivation in the cat visual cortex. J. Neurophysiol. 67, 197–202 (1992).

    Article  CAS  PubMed  Google Scholar 

  94. Fox, K. A critical period for experience-dependent synaptic plasticity in rat barrel cortex. J. Neurosci. 12, 1826–1838 (1992).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  95. Diamond, M. E., Armstrong-James, M. & Ebner, F. F. Experience-dependent plasticity in adult rat barrel cortex. Proc. Natl Acad. Sci. USA 90, 2082–2086 (1993).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  96. Guire, E. S., Lickey, M. E. & Gordon, B. Critical period for the monocular deprivation effect in rats: assessment with sweep visually evoked potentials. J. Neurophysiol. 81, 121–128 (1999).

    Article  CAS  PubMed  Google Scholar 

  97. Gordon, J. A. & Stryker, M. P. Experience-dependent plasticity of binocular responses in the primary visual cortex of the mouse. J. Neurosci. 16, 3274–3286 (1996).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  98. Heynen, A. J. et al. Molecular mechanism for loss of visual cortical responsiveness following brief monocular deprivation. Nature Neurosci. 6, 854–862 (2003).

    Article  CAS  PubMed  Google Scholar 

  99. Morales, B., Choi, S. Y. & Kirkwood, A. Dark rearing alters the development of GABAergic transmission in visual cortex. J. Neurosci. 22, 8084–8090 (2002).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  100. Hendry, S. H. & Jones, E. G. Reduction in number of immunostained GABAergic neurones in deprived-eye dominance columns of monkey area 17. Nature 320, 750–753 (1986).

    Article  CAS  PubMed  Google Scholar 

  101. Vale, C. & Sanes, D. H. The effect of bilateral deafness on excitatory and inhibitory synaptic strength in the inferior colliculus. Eur. J. Neurosci. 16, 2394–2404 (2002).

    Article  PubMed  Google Scholar 

  102. Hata, Y., Tsumoto, T. & Stryker, M. P. Selective pruning of more active afferents when cat visual cortex is pharmacologically inhibited. Neuron 22, 375–381 (1999).

    Article  CAS  PubMed  Google Scholar 

  103. Reiter, H. O. & Stryker, M. P. Neural plasticity without postsynaptic action potentials: less-active inputs become dominant when kitten visual cortical cells are pharmacologically inhibited. Proc. Natl Acad. Sci. USA 85, 3623–3627 (1988).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  104. Andrasfalvy, B. K. & Magee, J. C. Distance-dependent increase in AMPA receptor number in the dendrites of adult hippocampal CA1 pyramidal neurons. J. Neurosci. 21, 9151–9159 (2001).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  105. Andrasfalvy, B. K., Smith, M. A., Borchardt, T., Sprengel, R. & Magee, J. C. Impaired regulation of synaptic strength in hippocampal neurons from GluR1-deficient mice. J. Physiol. (Lond.) 552, 35–45 (2003).

    Article  CAS  Google Scholar 

  106. Smith, M. A., Ellis-Davies, G. C. & Magee, J. C. Mechanism of the distance-dependent scaling of Schaffer collateral synapses in rat CA1 pyramidal neurons. J. Physiol. (Lond.) 548, 245–258 (2003). This study shows that synaptic strength increases as a function of distance from the soma, indicating that there is a form of 'distance-dependent scaling' of synaptic strength in hippocampal neurons. This might compensate for reduced synaptic efficacy as a function of electrotonic distance from the spike-initiation zone.

    Article  CAS  Google Scholar 

  107. Williams, S. R. & Stuart, G. J. Dependence of EPSP efficacy on synapse location in neocortical pyramidal neurons. Science 295, 1907–1910 (2002). This study indicates that, in neocortical neurons, synaptic strength does not increase as a function of distance from the soma. This is in contrast to experiments in hippocampal neurons (see reference 106).

    Article  CAS  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Gina G. Turrigiano.

Ethics declarations

Competing interests

The authors declare no competing financial interests.

Related links

Related links

FURTHER INFORMATION

The Nelson/Turrigiano Laboratory of Cortical Physiology

Glossary

QUANTAL AMPLITUDE

The amplitude of the postsynaptic response to a single vesicle of neurotransmitter.

SYNAPTIC COMPETITION

When increasing the strength of a subset of inputs generates a decrease in strength of other inputs.

MINIATURE EXCITATORY POSTSYNAPTIC CURRENT

The postsynaptic current evoked by release of a single vesicle of neurotransmitter – the quantal amplitude.

SYNAPTIC SCALING

Scaling up or down of the quantal amplitude of all synapses onto a postsynaptic neuron in response to long-lasting changes in neuronal activity.

HEBBIAN PLASTICITY

Changes in the connection strength between two neurons as a result of correlated firing.

AMPARS

A subtype of ligand-gated glutamate receptor; these receptors generate the majority of excitatory current at central synapses.

NMDARS

A subtype of ligand- and voltage-gated glutamate receptors that are calcium permeable.

COEFFICIENT OF VARIATION

(CV). A measure of variability — the mean response divided by the standard deviation of the response. The CV of evoked synaptic transmission (determined by repeatedly evoking release and calculating the mean and the standard deviation of the postsynaptic response) depends strongly on neurotransmitter release probability.

PROBABILITY OF TRANSMITTER RELEASE

Release of vesicles at presynaptic release sites is a stochastic process. Generally, when a spike invades the presynaptic terminal the probability that a vesicle will be released is significantly less than one. Increasing this probability would result in more vesicles released/spike (on average) and would therefore increase synaptic strength.

CELL-AUTONOMOUS PLASTICITY

Plasticity in the properties of an individual neuron resulting from changes in its own activity, independent of the activity of other neurons in the network.

BRAIN-DERIVED NEUROTROPHIC FACTOR

A neurotrophin that is expressed at high levels in the central nervous system, and implicated in many forms of synaptic plasticity and maturation, as well as dendritic and axonal growth.

MONOCULAR PRIMARY VISUAL CORTEX

The region of visual cortex in some species (notably rodents) that receives visual input from only one eye.

MONOCULAR DEPRIVATION

Depriving one eye of visual experience, while leaving the other eye unaffected.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Turrigiano, G., Nelson, S. Homeostatic plasticity in the developing nervous system. Nat Rev Neurosci 5, 97–107 (2004). https://doi.org/10.1038/nrn1327

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1038/nrn1327

This article is cited by

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing