Skip to main content

Functional Significance of Synaptic Depression between Cortical Neurons

  • Chapter

Abstract

Intracortical synapses exhibit several forms of short-term plasticity that cause synaptic efficacy at any given time to depend on the previous history of presynaptic activity. We have measured synaptic transmission between layer 4 and layer 2/3 in slices of rat visual cortex and used the data to construct an accurate mathematical description of intracortical short-term synaptic plasticity. These data show rapid synaptic facilitation and three forms of synaptic depression differing in their rates of onset and recovery. The dominant effect seen is overall synaptic depression that causes steady-state synaptic efficacy to decrease as a function of presynaptic firing rate. At high rates, the steady-state efficacy is inversely proportional to firing rate which implies that cortical synapses do not convey information about the magnitude of sustained high firing rates. However, this same dependence means that, for transient signals, synapses convey information about fractional rather than absolute changes in presynaptic firing rates. We explore the functional significance of this result including its implications for spike-rate adaptation and mechanisms that produce directional selectivity in visually responsive neurons.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   259.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   329.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. R. Deisz and D. Prince, 1989, Frequency-dependent depression of inhibition in Guinea-pig neocortic in vitro by GABAb receptor feedback on GABA release, J. Physiol. 412: 513–541.

    PubMed  CAS  Google Scholar 

  2. S.B. Nelson and D. Smetters, 1993, Short-term plasticity of minimal synaptic currents in visual cortical neurons, Soc. Neurosci. Abst. 19: 629.

    Google Scholar 

  3. A.M. Thomson and J. Deuchars, 1994, Temproal and spatial proerties of local circuits in neurocortex, Trends Neurosci. 17: 119–126.

    Article  PubMed  CAS  Google Scholar 

  4. K.J. Stratford, K. Tarczy-Homoch, K.A.C. Martin, N.J. Bannister, J.J.B. Jack, 1996, Excitatory synaptic inputs to spiny stellate cells in cat visual cortex, Nature 382: 258–261.

    Article  PubMed  CAS  Google Scholar 

  5. L.F. Abbott,J.A. Varela, K. Sen and S.B. Nelson, 1997, Synaptic Depression and Cortical Gain Control. Science (in press).

    Google Scholar 

  6. J.A. Varela, K. Sen, J.A Gibson, J. Fost, L.F. Abbott and S.B. Nelson, 1996 ) A quantitative description of short-term plasticity at excitatory synapses in visual cortex, (submitted).

    Google Scholar 

  7. H. Markram, M. Tsodyks, 1996, Redistribution of synaptic efficacy between neocortical pyramidal neurons, Nature 382: 807–810.

    Article  PubMed  CAS  Google Scholar 

  8. M.V. Tsodyks, H. Markram, 1996, Plasticity of neocortical synapses enables transitions between rate and temporal coding, in: Lecture Notes in Computer Science ( C. von der Malsburg, W. von Seelen, J.C. Vorbruggen and B. Sendhoff ed), p. 445–450, Springer, Berlin.

    Google Scholar 

  9. M.V. Tsodyks, H. Markram, 1997, Neurotransmitter release probability determines the nature of the neural code between neocortical pyramidal neurons, Proc. Natl. Acad. Sci. (in press).

    Google Scholar 

  10. Magleby KL, Zengel JE (1975) A quantitative description of stimulation-induced changes in transmitter release at the frog neuromuscular junction. J. Gen. Physiol. 80: 613–638.

    Article  Google Scholar 

  11. K. Sen, J.C. Jorge-Rivera, E. Marder and L.F. Abbott, 1996, Decoding Synapses, J. Neurosci. 16: 6307–6318.

    PubMed  CAS  Google Scholar 

  12. W.R. Softky, C. Koch, 1992, Cortical cells should fire regularly, but do not, Neural Comp. 4: 643–646.

    Article  Google Scholar 

  13. H.B. Barlow, 1989, Unsupervized learning, Neural Comp. 1: 295–311.

    Article  Google Scholar 

  14. The model of adaptation we use was constructed by X.J. Wang.

    Google Scholar 

  15. A.B. Saul and A.L. Humphreys, 1992, Evidence of input from lagged cells in the lateral geniculate nucleus to simple cells in cortical area 17 of the cat, J. Neurophysiol. 68: 1190–1208.

    PubMed  CAS  Google Scholar 

  16. B. Jagadeesh, H.S. Wheat and D. Ferster, 1993, Linearity of summation of synaptic potentials underlying direction selectivity in simple cells of the cat visual cortex, Science 262: 1901–1904.

    Article  PubMed  CAS  Google Scholar 

  17. L.L. Kontsevich, 1995, The nature of the inputs to cortical motion detectors, Vision res. 35: 2785–2793.

    Article  PubMed  CAS  Google Scholar 

  18. H. Suarez, C. Koch and R. Douglas, 1995, Modeling direction selectivity of simple cells in stiate visual cortex within the framework of the canonical microcircuit, J Neurosci. 15: 6700–6719.

    PubMed  CAS  Google Scholar 

  19. R. Maex and G.A. Orban, 1996, Model circuit of spiking neurons generating directional selectivity in simple cells, J. Neurophysiol. 75: 1515–1545.

    PubMed  CAS  Google Scholar 

  20. Research supported by the Sloan Center for Theoretical Neurobiology at Brandeis University, National Science Foundation grants NSF-IBN-9421388, NSF-DMS-9503261 and NSF-IBN-9511094, a Sloan Research Fellowship and the W.M. Keck Foundation.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1997 Springer Science+Business Media New York

About this chapter

Cite this chapter

Nelson, S.B., Varela, J.A., Sen, K., Abbott, L.F. (1997). Functional Significance of Synaptic Depression between Cortical Neurons. In: Bower, J.M. (eds) Computational Neuroscience. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-9800-5_69

Download citation

  • DOI: https://doi.org/10.1007/978-1-4757-9800-5_69

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4757-9802-9

  • Online ISBN: 978-1-4757-9800-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics