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

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Artificial Neural Networks — ICANN'97 (ICANN 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1327))

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Abstract

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.

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References

  1. Hebb, D.O. The organization of behavior, J. Wiley and Sons, New York (1949)

    Google Scholar 

  2. Bienenstock, E.L. & Cooper, L.N. & Munro, P.W. J. Neuroscience 2(1), 32–48 (1982)

    Google Scholar 

  3. Sejnowski, T. J. Math. Biol. 4, 303–321 (1977)

    Google Scholar 

  4. Artola, A. & Singer, W. TINS 16(11), 480–487 (1993)

    Google Scholar 

  5. Markram, H. & Lübke, J & Forster, M & Sakmann, B. Science 275, 213–215 (1997)

    Google Scholar 

  6. Markram, H. & Tsodyks, M. Nature 382, 807–810 (1996)

    Google Scholar 

  7. Tsodyks, M. & Markram, H. Proc. Natl. Acad. Sci. USA 94, 719–723 (1997)

    Google Scholar 

  8. Hopfield, J.J. Nature 376, 33–36 (1995)

    Google Scholar 

  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. Liao, D. Z. & Hessler, N. A. & Malinow, R. Nature 375, 400–404 (1995).

    Google Scholar 

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Wulfram Gerstner Alain Germond Martin Hasler Jean-Daniel Nicoud

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© 1997 Springer-Verlag Berlin Heidelberg

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Senn, W., Tsodyks, M., Markram, H. (1997). An algorithm for synaptic modification based on exact timing of pre- and post-synaptic action potentials. In: Gerstner, W., Germond, A., Hasler, M., Nicoud, JD. (eds) Artificial Neural Networks — ICANN'97. ICANN 1997. Lecture Notes in Computer Science, vol 1327. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0020143

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  • DOI: https://doi.org/10.1007/BFb0020143

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63631-1

  • Online ISBN: 978-3-540-69620-9

  • eBook Packages: Springer Book Archive

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