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Flexible theta sequence compression mediated via phase precessing interneurons

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

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Authors

Angus Chadwick

Prof MARK VAN ROSSUM Mark.VanRossum@nottingham.ac.uk
Chair and Director/Neural Computation Research Group

Matthew F. Nolan



Abstract

Encoding of behavioral episodes as spike sequences during hippocampal theta oscillations provides a neural substrate for computations on events extended across time and space. However, the mechanisms underlying the numerous and diverse experimentally observed properties of theta sequences remain poorly understood. Here we account for theta sequences using a novel model constrained by the septo-hippocampal circuitry. We show that when spontaneously active interneurons integrate spatial signals and theta frequency pacemaker inputs, they generate phase precessing action potentials that can coordinate theta sequences in place cell populations. We reveal novel constraints on sequence generation, predict cellular properties and neural dynamics that characterize sequence compression, identify circuit organization principles for high capacity sequential representation, and show that theta sequences can be used as substrates for association of conditioned stimuli with recent and upcoming events. Our results suggest mechanisms for flexible sequence compression that are suited to associative learning across an animal's lifespan.

Citation

Chadwick, A., van Rossum, M. C., & Nolan, M. F. (2016). Flexible theta sequence compression mediated via phase precessing interneurons. eLife, 5, Article e20349. https://doi.org/10.7554/eLife.20349

Journal Article Type Article
Acceptance Date Dec 7, 2016
Publication Date Dec 8, 2016
Deposit Date Feb 7, 2018
Publicly Available Date Mar 29, 2024
Journal eLife
Electronic ISSN 2050-084X
Publisher eLife Sciences Publications
Peer Reviewed Peer Reviewed
Volume 5
Article Number e20349
DOI https://doi.org/10.7554/eLife.20349
Public URL https://nottingham-repository.worktribe.com/output/835988
Publisher URL https://elifesciences.org/articles/20349

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