Circuit topology for synchronizing neurons in spontaneously active networks

Naoya Takahashi, Takuya Sasaki, Wataru Matsumoto, Norio Matsuki, Yuji Ikegaya

Research output: Contribution to journalArticlepeer-review

109 Citations (Scopus)


Spike synchronization underlies information processing and storage in the brain. But how can neurons synchronize in a noisy network? By exploiting a high-speed (500-2,000 fps) multineuron imaging technique and a large-scale synapse mapping method, we directly compared spontaneous activity patterns and anatomical connectivity in hippocampal CA3 networks ex vivo. As compared to unconnected pairs, synaptically coupled neurons shared more common presynaptic neurons, received more correlated excitatory synaptic inputs, and emitted synchronized spikes with approximately 107 times higher probability. Importantly, common presynaptic parents per se synchronized more than unshared upstream neurons. Consistent with this, dynamic-clamp stimulation revealed that common inputs alone could not account for the realistic degree of synchronization unless presynaptic spikes synchronized among common parents. On a macroscopic scale, network activity was coordinated by a power-law scaling of synchronization, which engaged varying sets of densely interwired (thus highly synchronized) neuron groups. Thus, locally coherent activity converges on specific cell assemblies, thereby yielding complex ensemble dynamics. These segmentally synchronized pulse packets may serve as information modules that flow in associatively parallel network channels.

Original languageEnglish
Pages (from-to)10244-10249
Number of pages6
JournalProceedings of the National Academy of Sciences of the United States of America
Issue number22
Publication statusPublished - 2010 Jun 1


  • Action potential
  • Calcium imaging
  • Microcircuit
  • Spontaneous activity
  • Synchronization


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