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

Chadwick, Angus; van Rossum, Mark C.W.; Nolan, Matthew F.

Authors

Angus Chadwick

Mark C.W. van Rossum

Matthew F. Nolan



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.

Journal Article Type Article
Publication Date Feb 2, 2015
Journal eLife
Electronic ISSN 2050-084X
Publisher eLife Sciences Publications
Peer Reviewed Peer Reviewed
Volume 4
Article Number e03542
APA6 Citation Chadwick, A., van Rossum, M. C., & Nolan, M. F. (2015). Independent theta phase coding accounts for CA1 population sequences and enables flexible remapping. eLife, 4, https://doi.org/10.7554/eLife.03542
DOI https://doi.org/10.7554/eLife.03542
Publisher URL https://elifesciences.org/articles/03542
Copyright Statement Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by/4.0

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by/4.0





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