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Short Term Plasticity Provides Temporal Filtering at Chemical Synapses

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Artificial Neural Networks - ICANN 2008 (ICANN 2008)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5164))

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Abstract

Chemical synapses exhibit a wide range of mechanisms that modulate the postsynaptic response due to presynaptic action potentials (APs) as a function of the arrival pattern of the presynaptic APs. Here we demonstrate that combinations of depression, facilitation and frequency-dependent recovery will give synapses that are either sensitive to the steady-state input signal, or to the onsets and offsets of signal transients. In addition, a synapse may be tuned to preferentially respond to low frequency modulation of an input signal.

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Author information

Authors and Affiliations

  1. Department of Computing Science and Mathematics, University of Stirling, Stirling, FK9 4LA, U.K.

    Bruce P. Graham

  2. Division of Neuroscience, JCSMR, Australian National University, GPO Box 334, A.C.T., Canberra, Australia

    Christian Stricker

Authors
  1. Bruce P. Graham
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  2. Christian Stricker
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Véra Kůrková Roman Neruda Jan Koutník

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© 2008 Springer-Verlag Berlin Heidelberg

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Graham, B.P., Stricker, C. (2008). Short Term Plasticity Provides Temporal Filtering at Chemical Synapses. In: Kůrková, V., Neruda, R., Koutník, J. (eds) Artificial Neural Networks - ICANN 2008. ICANN 2008. Lecture Notes in Computer Science, vol 5164. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87559-8_28

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  • DOI: https://doi.org/10.1007/978-3-540-87559-8_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-87558-1

  • Online ISBN: 978-3-540-87559-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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