• DocumentCode
    2778195
  • Title

    Why is it hard to induce long-term depression?

  • Author

    Benuskova, Lubica

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Otago, Dunedin, New Zealand
  • fYear
    2012
  • fDate
    10-15 June 2012
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Most of the interest in computational modelling is devoted to the phenomenon of long-term potentiation (LTP) of synaptic efficacy. Long-term depression (LTD) of synaptic connections is often overlooked. We have found that it is in fact very difficult to induce LTD experimentally and the conditions for LTD induction are much less clear than those for induction of LTP. We concentrate on granule cells in the hippocampal dentate gyrus and using the spike-timing-dependent plasticity (STDP) rule with metaplasticity we show that to evoke homosynaptic LTD or depotentiation of previously potentiated synapses in the spiking model of granule cell is not easy similarly like in a number of experimental studies. On the other hand, heterosynaptic LTD, which accompanies homosynaptic LTP is induced readily both in the model as well as in experiments. We offer possible explanation of these phenomena from STDP, metaplasticity and spontaneous activity.
  • Keywords
    biology computing; cellular biophysics; neurophysiology; LTD induction; STDP rule; computational modelling; granule cell; heterosynaptic LTD; hippocampal dentate gyrus; homosynaptic LTD; homosynaptic LTP; long-term depression; long-term potentiation; metaplasticity; spike-timing-dependent plasticity rule; spiking model; spontaneous activity; synaptic connection; synaptic efficacy; Computational modeling; Frequency modulation; In vivo; Mathematical model; Neurons; Protocols; Timing; computational neuroscience; metaplasticity; spike-timing dependent plasticity; synaptic plasticity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks (IJCNN), The 2012 International Joint Conference on
  • Conference_Location
    Brisbane, QLD
  • ISSN
    2161-4393
  • Print_ISBN
    978-1-4673-1488-6
  • Electronic_ISBN
    2161-4393
  • Type

    conf

  • DOI
    10.1109/IJCNN.2012.6252827
  • Filename
    6252827