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Flexible information routing by transient synchrony.

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Neural circuits can flexibly reroute information using gamma rhythms. Models show that gamma bursts, even if irregular, organize signal flow through self-organized routing states.

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Systems Neuroscience

Background:

  • Flexible communication between cortical microcircuits is crucial for perception, cognition, and behavior.
  • Mechanisms for rapid information rerouting between these microcircuits remain largely unknown.
  • Gamma rhythms' coherence patterns were proposed to support information rerouting, but their transient nature poses challenges.

Purpose of the Study:

  • To investigate how cortical circuits achieve flexible information rerouting.
  • To reconcile the proposed role of gamma rhythms with their observed in vivo characteristics.
  • To model information flow in multiarea cortical circuits near oscillatory synchrony.

Main Methods:

  • Computational modeling of canonical multiarea cortical circuits.
  • Analysis of gamma oscillations and their role in information routing.
  • Investigating the impact of background activity modulations on routing states.

Main Results:

  • Cortical circuit models near oscillatory synchrony selectively route input signals.
  • Gamma bursts spontaneously arise with matched timing and frequency.
  • These gamma bursts organize information flow via large-scale, self-organized routing states.
  • Minor modulations in background activity can induce specific self-organized routing states.

Conclusions:

  • Gamma bursts, despite their transient and irregular nature, can effectively support information rerouting.
  • Self-organized routing states governed by gamma bursts provide a mechanism for flexible information flow in cortical circuits.
  • The findings offer a plausible explanation for rapid information rerouting in the brain.