STDP provides the substrate for igniting synfire chains by spatiotemporal input patterns

Ryosuke Hosaka, Osamu Araki, Tohru Ikeguchi

Research output: Contribution to journalArticlepeer-review

32 Citations (Scopus)


Spike-timing-dependent synaptic plasticity (STDP), which depends on the temporal difference between pre- and postsynaptic action potentials, is observed in the cortices and hippocampus. Although several theoretical and experimental studies have revealed its fundamental aspects, its functional role remains unclear. To examine how an input spatiotemporal spike pattern is altered by STDP, we observed the output spike patterns of a spiking neural network model with an asymmetrical STDP rule when the input spatiotemporal pattern is repeatedly applied. The spiking neural network comprises excitatory and inhibitory neurons that exhibit local interactions. Numerical experiments show that the spiking neural network generates a single global synchrony whose relative timing depends on the input spatiotemporal pattern and the neural network structure. This result implies that the spiking neural network learns the transformation from spatiotemporal to temporal information. In the literature, the origin of the synfire chain has not been sufficiently focused on. Our results indicate that spiking neural networks with STDP can ignite synfire chains in the cortices.

Original languageEnglish
Pages (from-to)415-435
Number of pages21
JournalNeural Computation
Issue number2
Publication statusPublished - 2008 Feb
Externally publishedYes

ASJC Scopus subject areas

  • Arts and Humanities (miscellaneous)
  • Cognitive Neuroscience


Dive into the research topics of 'STDP provides the substrate for igniting synfire chains by spatiotemporal input patterns'. Together they form a unique fingerprint.

Cite this