Independent theta phase coding accounts for CA1 population sequences and enables flexible remapping

  1. Angus Chadwick
  2. Mark C W van Rossum
  3. Matthew F Nolan  Is a corresponding author
  1. University of Edinburgh, United Kingdom

Abstract

Hippocampal place cells encode an animal's past, current and future location through sequences of action potentials generated within each cycle of the network theta rhythm. These sequential representations have been suggested to result from temporally coordinated synaptic interactions within and between cell assemblies. Instead, we find through simulations and analysis of experimental data that rate and phase coding in independent neurons is sufficient to explain the organization of CA1 population activity during theta states. We show that CA1 population activity can be described as an evolving traveling wave that exhibits phase coding, rate coding, spike sequences and that generates an emergent population theta rhythm. We identify measures of global remapping and intracellular theta dynamics as critical for distinguishing mechanisms for pacemaking and coordination of sequential population activity. Our analysis suggests that, unlike synaptically coupled assemblies, independent neurons flexibly generate sequential population activity within the duration of a single theta cycle.

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Author details

  1. Angus Chadwick

    Institute for Adaptive and Neural Computation, School of Informatics, University of Edinburgh, Edinburgh, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
  2. Mark C W van Rossum

    Institute for Adaptive and Neural Computation, School of Informatics, University of Edinburgh, Edinburgh, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
  3. Matthew F Nolan

    Centre for Integrative Physiology, University of Edinburgh, Edinburgh, United Kingdom
    For correspondence
    mattnolan@ed.ac.uk
    Competing interests
    The authors declare that no competing interests exist.

Copyright

© 2015, Chadwick et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

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  1. Angus Chadwick
  2. Mark C W van Rossum
  3. Matthew F Nolan
(2015)
Independent theta phase coding accounts for CA1 population sequences and enables flexible remapping
eLife 4:e03542.
https://doi.org/10.7554/eLife.03542

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https://doi.org/10.7554/eLife.03542

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