Theory of Localized Synfire Chain: Characteristic Propagation Speed of Stable Spike Pattern

Abstract

Repeated spike patterns have often been taken as evidence for the synfire chain, a phenomenon that a stable spike synchrony propagates through a feedforward network. Inter-spike intervals which represent a repeated spike pattern are influenced by the propagation speed of a spike packet. However, the relation between the propagation speed and network struc- ture is not well understood. While it is apparent that the propagation speed depends on the excitatory synapse strength, it might also be related to spike patterns. We analyze a feedforward network with Mexican-Hat- type connectivity (FMH) using the Fokker-Planck equation. We show that both a uniform and a localized spike packet are stable in the FMH in a certain parameter region. We also demonstrate that the propagation speed depends on the distinct firing patterns in the same network.

Cite

Text

Hamaguchi et al. "Theory of Localized Synfire Chain: Characteristic Propagation Speed of Stable Spike Pattern." Neural Information Processing Systems, 2004.

Markdown

[Hamaguchi et al. "Theory of Localized Synfire Chain: Characteristic Propagation Speed of Stable Spike Pattern." Neural Information Processing Systems, 2004.](https://mlanthology.org/neurips/2004/hamaguchi2004neurips-theory/)

BibTeX

@inproceedings{hamaguchi2004neurips-theory,
  title     = {{Theory of Localized Synfire Chain: Characteristic Propagation Speed of Stable Spike Pattern}},
  author    = {Hamaguchi, Kosuke and Okada, Masato and Aihara, Kazuyuki},
  booktitle = {Neural Information Processing Systems},
  year      = {2004},
  pages     = {553-560},
  url       = {https://mlanthology.org/neurips/2004/hamaguchi2004neurips-theory/}
}