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Complex evolution of spike patterns during burst propagation through feed-forward networks

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Abstract

Stable signal transmission is crucial for information processing by the brain. Synfire-chains, defined as feed-forward networks of spiking neurons, are a well-studied class of circuit structure that can propagate a packet of single spikes while maintaining a fixed packet profile. Here, we studied the stable propagation of spike bursts, rather than single spike activities, in a feed-forward network of a general class of excitable bursting neurons. In contrast to single spikes, bursts can propagate stably without converging to any fixed profiles. Spike timings of bursts continue to change cyclically or irregularly during propagation depending on intrinsic properties of the neurons and the coupling strength of the network. To find the conditions under which bursts lose fixed profiles, we propose an analysis based on timing shifts of burst spikes similar to the phase response analysis of limit-cycle oscillators.

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Authors and Affiliations

  1. Laboratory for Neural Circuit Theory, RIKEN Brain Science Institute, Hirosawa 2-1, Wako, Saitama, 351-0198, Japan

    Jun-nosuke Teramae & Tomoki Fukai

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  1. Jun-nosuke Teramae
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  2. Tomoki Fukai
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Correspondence to Jun-nosuke Teramae.

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Teramae, Jn., Fukai, T. Complex evolution of spike patterns during burst propagation through feed-forward networks. Biol Cybern 99, 105–114 (2008). https://doi.org/10.1007/s00422-008-0246-9

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  • DOI: https://doi.org/10.1007/s00422-008-0246-9

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