Noise-induced synchronous neuronal oscillations

Christian Kurrer, Klaus Schulten

Research output: Contribution to journalArticlepeer-review


We investigate a model for synchronous neural activity in networks of coupled neurons. The individual systems are governed by nonlinear dynamics and can continuously vary between excitable and oscillatory behavior. Analytical calculations and computer simulations show that coupled excitable systems can undergo two different phase transitions from synchronous to asynchronous firing behavior. One of the transitions is akin to the synchronization transitions in coupled oscillator systems, while the second transition can only be found in coupled excitable systems. We present an analytical derivation of the two transitions and discuss implications for synchronization transitions in biological neural networks.

Original languageEnglish (US)
Pages (from-to)6213-6218
Number of pages6
JournalPhysical Review E
Issue number6
StatePublished - 1995

ASJC Scopus subject areas

  • Statistical and Nonlinear Physics
  • Statistics and Probability
  • Condensed Matter Physics


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