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Distance- and Direction-Dependent Synaptic Weight Distributions for Directional Spike Propagation in a Recurrent Network: Self-actuated Shutdown of Synaptic Plasticity

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Book cover Neural Information Processing (ICONIP 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8228))

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Abstract

It has been suggested that directional spike propagation in a paradoxical way is organized in a recurrent network with anisotropic inhibition when excitatory connections to excitatory neurons (E–E) and inhibitory interneurons (E–I) are updated through spike-timing dependent plasticity. In this study, we show that both E–E and E–I connections have distance- and direction-dependent synaptic weight distributions in the recurrent network. E–E and E–I connections in the direction of spike propagation are more potentiated with increasing the distance between pre- and postsynaptic neurons. However, excitatory connections in the opposite direction of spike propagation are depressed regardless of the distance. In this network, the removal of the distance-dependency of E–I connections expands the width of directional spike propagation. On the other hand, the removal of the direction-dependency of E–I connections contracts spike propagation. These results show that the distance- and direction-dependent synaptic weight distributions contribute to directional spike propagation. The distance-dependent synaptic weight distribution, which suppresses activities in the lateral areas of the directional spike propagation, stops the progress of synaptic enhancement in those areas as if the synaptic plasticity is equipped with a self-actuated shutdown mechanism.

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References

  1. Yoshida, M., Hayashi, H.: Regulation of Spontaneous Rhythmic Activity and Organization of Pacemakers as Memory Traces by Spike-Timing-Dependent Synaptic Plasticity in a Hippocampal Model. Phys. Rev. E 69, 011910:1–011910:15 (2004)

    Google Scholar 

  2. Lubenov, E.V., Siapas, A.G.: Hippocampal Theta Oscillations Are Travelling Waves. Nature 459, 534–539 (2009)

    Article  Google Scholar 

  3. Samura, T., Hayashi, H.: Directional spike propagation in a recurrent network: Dynamical firewall as anisotropic recurrent inhibition. Neural Netw. 33, 236–246 (2012)

    Article  Google Scholar 

  4. Izhikevich, E.M.: Simple Model of Spiking Neurons. IEEE Trans. Neural Netw. 14, 1569–1572 (2003)

    Article  Google Scholar 

  5. 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)

    Google Scholar 

  6. Kullmann, D.M., Lamsa, K.P.: LTP and LTD in cortical GABAergic interneurons: Emerging rules and roles. Neuropharmacology 60, 712–719 (2011)

    Article  Google Scholar 

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Samura, T., Sakai, Y., Hayashi, H., Aihara, T. (2013). Distance- and Direction-Dependent Synaptic Weight Distributions for Directional Spike Propagation in a Recurrent Network: Self-actuated Shutdown of Synaptic Plasticity. In: Lee, M., Hirose, A., Hou, ZG., Kil, R.M. (eds) Neural Information Processing. ICONIP 2013. Lecture Notes in Computer Science, vol 8228. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-42051-1_1

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  • DOI: https://doi.org/10.1007/978-3-642-42051-1_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-42050-4

  • Online ISBN: 978-3-642-42051-1

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