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Hippocampal phase precession may be generated by chimera dynamics.

Maria Masoliver1,2,3, Jörn Davidsen1,3, Wilten Nicola1,2,3

  • 1Department of Physics and Astronomy, University of Calgary, Calgary, AB, Canada.

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Summary

Hippocampal phase precession, where pyramidal neurons fire faster than the theta rhythm, may emerge from chimera dynamics. Computational models show this coexistence of synchrony and asynchrony explains neuronal firing patterns.

Keywords:
chimera stateshippocampusnon-linear dynamicsoscillationspartial synchronizationphase precession

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Area of Science:

  • Computational Neuroscience
  • Systems Neuroscience
  • Dynamical Systems

Background:

  • The brain's hippocampus exhibits an 8 Hz theta rhythm, acting as a neural clock.
  • Pyramidal neurons exhibit phase precession, firing slightly faster than the theta cycle.
  • Chimera states describe systems with coexisting synchrony and asynchrony.

Purpose of the Study:

  • To test if hippocampal phase precession arises from chimera dynamics.
  • To model the emergence of phase precession using computational networks.

Main Methods:

  • Utilized Kuramoto oscillator networks of varying sizes and topologies.
  • Adjusted intrinsic oscillator frequencies to match hippocampal theta and pyramidal neuron firing rates.
  • Trained spiking integrate-and-fire neuron networks using a Kuramoto-chimera supervisor.

Main Results:

  • Network simulations successfully replicated the frequency ratio between theta oscillations and phase-precessing neurons.
  • Simulated faster-firing oscillator populations exhibited theta-sequence and phase precession behaviors.
  • Trained spiking neuron networks demonstrated phase precession in individual neuron firing times.

Conclusions:

  • Chimera dynamics provide a potential mechanism for hippocampal phase precession.
  • Computational modeling successfully links chimera states to observed neural firing patterns.
  • This study offers insights into the complex interplay of synchrony and asynchrony in neural oscillations.