An algorithm for synaptic modification based on exact timing of pre- and post-synaptic action potentials

  • Walter Senn
  • Misha Tsodyks
  • Henry Markram
Part I: Coding and Learning in Biology
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1327)


The timing between individual pre- and post-synaptic action potentials is known to play a crucial role in the modification of the synaptic efficacy during activity. Based on stimulation protocols of two synaptically connected neurons, we infer an algorithm which explains the data by modifying the probability of neurotransmitter discharge as a function of the pre- and postsynaptic spike delays. The characteristics of this algorithm is its asymmetry with respect to the delays: if the postsynaptic spike arrives after the presynaptic spike, the probability of discharge is up-regulated while it is down-regulated if the postsynaptic spike arrives before the presynaptic spike. The algorithm allows to predict stimulation protocols which induce maximal up- and down-regulation of the discharge probability.


Spike Train Secondary Messenger Discharge Probability Synaptic Efficacy Presynaptic Release 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Hebb, D.O. The organization of behavior, J. Wiley and Sons, New York (1949)Google Scholar
  2. 2.
    Bienenstock, E.L. & Cooper, L.N. & Munro, P.W. J. Neuroscience 2(1), 32–48 (1982)Google Scholar
  3. 3.
    Sejnowski, T. J. Math. Biol. 4, 303–321 (1977)Google Scholar
  4. 4.
    Artola, A. & Singer, W. TINS 16(11), 480–487 (1993)Google Scholar
  5. 5.
    Markram, H. & Lübke, J & Forster, M & Sakmann, B. Science 275, 213–215 (1997)Google Scholar
  6. 6.
    Markram, H. & Tsodyks, M. Nature 382, 807–810 (1996)Google Scholar
  7. 7.
    Tsodyks, M. & Markram, H. Proc. Natl. Acad. Sci. USA 94, 719–723 (1997)Google Scholar
  8. 8.
    Hopfield, J.J. Nature 376, 33–36 (1995)Google Scholar
  9. 9.
    Mayer, M.L. & McDermott, A.B. & Westbrook, G.L. & Smith, S.J. & Barker, J.L. J. Neuroscience 7, 3230–3244 (1987)Google Scholar
  10. 10.
    Liao, D. Z. & Hessler, N. A. & Malinow, R. Nature 375, 400–404 (1995).Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Walter Senn
    • 1
    • 2
  • Misha Tsodyks
    • 2
  • Henry Markram
    • 2
  1. 1.Physiologisches Inst.Universität BernBernSwitzerland
  2. 2.Dept. of NeurobiologyThe Weizmann InstituteRehovotIsrael

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