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How Bursts Shape the STDP Curve in the Presence/Absence of GABAergic Inhibition

Published: 15 September 2009 Publication History

Abstract

It has been known for some time that the synapses of the CA1 pyramidal cells are surprisingly unreliable at signalling the arrival of single spikes to the postsynaptic neuron [2]. On the other hand, bursts of spikes are reliably signalled, because transmitter release is facilitated. In the hippocampus, a single burst can produce long-term synaptic modifications. Bursts of spikes in addition to increasing reliability of synaptic transmission [3], they have been shown to provide effective mechanisms for selective communication between neurons in a network [4]. We investigate via computer simulations how the profile of spike-timing-dependent plasticity (STDP) in the CA1 pyramidal cell synapses is affected when an excitatory burst of spikes applied to dendrites is paired with an excitatory single spike applied to the soma in the absence and presence of a 100Hz GABAergic inhibitory spike train applied to the dendrites. We report that the shape of the STDP curve strongly depends on the burst interspike interval in the presence/absence of GABA <em>A</em> when a presynaptic burst and a postsynaptic spike are paired together.

References

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Hebb, D.O.: The organization of behavior. John Wiley, New York (1949).
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Allen, C., Stevens, C.F.: An evaluation of causes for unreliability of synaptic transmission. Proc. Natl. Acad. Sci. U.S.A. 91(22), 10380-10383 (1994).
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Lisman, J.: Bursts as a unit of neural information: making unreliable synapses reliable. TINS 20(1), 38-43 (1997).
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Izhikevich, E.M., Desai, N.S., Walcott, E.C., Hoppensteadt, F.C.: Bursts as a unit of neural information: selective communication via resonance. TINS 26(3), 161-167 (2003).
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Nishiyama, M., Hong, K., Mikoshiba, K., Poo, M., Kato, K.: Calcium stores regulate the polarity and input specificity of synaptic modification. Nature 408, 584- 589 (2000).
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Tsukada, M., Aihara, T., Kobayashi, Y., Shimazaki, H.: Spatial Analysis of Spike-Timing-Dependent LTP and LTD in the CA1 Area of Hippocampal Slices Using Optical Imaging. Hippocampus 15, 104-109 (2005).
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Bi, G.Q., Poo, M.M.: Synaptic modifications in cultured hippocampal neurons: dependence on spike timing, synaptic strength and postsynaptic cell type. J. Neurosci. 18, 10464-10472 (1998).
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Cutsuridis, V., Cobb, S., Graham, B.P.: A Ca2+ dynamics model of the STDP symmetry-to-asymmetry transition in the CA1 pyramidal cell of the hippocampus. In: Kůrková, V., Neruda, R., Koutník, J. (eds.) ICANN 2008, Part II. LNCS, vol. 5164, pp. 627-635. Springer, Heidelberg (2008).
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Cutsuridis, V., Cobb, S., Graham, B.P.: A CA1 Heteroassociative Microcircuit Model of the Hippocampus. In: Proc. of the AREADNE: Research in Encoding and Decoding of Neural Ensembles, Santorini, Greece, June 26-29 (2008).
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Cutsuridis, V., Cobb, S., Graham, B.P.: Modelling the STDP Symmetry-to-Asymmetry Transition in the Presence of GABAergic Inhibition. Neural Network World (in press).
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Rubin, J.E., Gerkin, R.C., Bi, G.Q., Chow, C.C.: Calcium time course as signal for spike-timing-dependent plasticity. J. Neurophysiol. 93, 2600-2613 (2005).

Cited By

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  • (2010)Action potential bursts modulate the NMDA-R mediated spike timing dependent plasticity in a biophysical modelProceedings of the 20th international conference on Artificial neural networks: Part I10.5555/1886351.1886369(107-116)Online publication date: 15-Sep-2010

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Information

Published In

cover image Guide Proceedings
ICANN '09: Proceedings of the 19th International Conference on Artificial Neural Networks: Part I
September 2009
1024 pages
ISBN:9783642042737
  • Editors:
  • Cesare Alippi,
  • Marios Polycarpou,
  • Christos Panayiotou,
  • Georgios Ellinas

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 15 September 2009

Author Tags

  1. CA1 pyramidal neuron
  2. GABA
  3. Hippocampus
  4. LTD
  5. LTP
  6. STDP
  7. calcium
  8. computer model

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  • (2010)Action potential bursts modulate the NMDA-R mediated spike timing dependent plasticity in a biophysical modelProceedings of the 20th international conference on Artificial neural networks: Part I10.5555/1886351.1886369(107-116)Online publication date: 15-Sep-2010

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