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Inhibitory loop robustly induces anticipated synchronization in neuronal microcircuits.

Fernanda S Matias1, Leonardo L Gollo2, Pedro V Carelli3

  • 1Instituto de Física, Universidade Federal de Alagoas, Maceió, Alagoas 57072-970, Brazil.

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|November 15, 2016
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Summary
This summary is machine-generated.

Inhibitory feedback and noise enable neurons to synchronize in novel ways, with a slave neuron sometimes anticipating a master neuron. This anticipated synchronization (AS) reveals complex phase dynamics in coupled neuronal networks.

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Area of Science:

  • Computational neuroscience
  • Nonlinear dynamics
  • Systems biology

Background:

  • Neuronal synchronization is crucial for information processing.
  • Interneuron-mediated inhibition and external noise can influence neuronal dynamics.
  • Understanding phase relationships in coupled neurons is key to deciphering network function.

Purpose of the Study:

  • To investigate synchronization properties of two excitatory coupled neurons with an inhibitory feedback loop.
  • To explore the impact of dynamic inhibition and noise on neuronal phase diversity.
  • To elucidate the counterintuitive control of phase relations by coupling strengths and noise.

Main Methods:

  • Mathematical modeling of coupled excitatory neurons with an inhibitory interneuron.
  • Analysis of synchronization phenomena under varying coupling strengths and noise levels.
  • Characterization of anticipated synchronization (AS) in master-slave and mutually coupled configurations.

Main Results:

  • Dynamic inhibition and noise induce phase diversity in neuronal motifs.
  • Coupling strengths and noise interact counterintuitively to control neuronal phase relations.
  • Anticipated synchronization (AS) observed where the slave neuron anticipates the master, even with inhibitory feedback.
  • AS persists despite unbalanced bidirectional excitatory coupling.
  • In symmetric mutual coupling, the neuron with inhibitory feedback leads in phase.

Conclusions:

  • The interplay of inhibition, noise, and coupling strength offers novel mechanisms for controlling neuronal synchronization.
  • Anticipated synchronization (AS) is a robust phenomenon in neuronal networks with inhibitory feedback.
  • These findings advance our understanding of complex phase dynamics and information processing in neural circuits.