Linking minimal and detailed models of CA1 microcircuits reveals how theta rhythms emerge and their frequencies controlled

The wide variety of cell types and their biophysical complexities pose a challenge in our ability to understand oscillatory activities produced by cellular‐based computational network models. This challenge stems from their high‐dimensional and multiparametric natures. To overcome this, we implement...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Hippocampus 2021-09, Vol.31 (9), p.982-1002
Hauptverfasser: Chatzikalymniou, Alexandra Pierri, Gumus, Melisa, Skinner, Frances K.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:The wide variety of cell types and their biophysical complexities pose a challenge in our ability to understand oscillatory activities produced by cellular‐based computational network models. This challenge stems from their high‐dimensional and multiparametric natures. To overcome this, we implement a solution by linking minimal and detailed models of CA1 microcircuits that generate intrahippocampal (3–12 Hz) theta rhythms. We leverage insights from minimal models to guide explorations of more detailed models and obtain a cellular perspective of theta generation. Our findings distinguish the pyramidal cells as the theta rhythm initiators and reveal that their activity is regularized by the inhibitory cell populations, supporting a proposed hypothesis of an “inhibition‐based tuning” mechanism. We find a strong correlation between input current to the pyramidal cells and the resulting local field potential theta frequency, indicating that intrinsic pyramidal cell properties underpin network frequency characteristics. This work provides a cellular‐based foundation from which in vivo theta activities can be explored.
ISSN:1050-9631
1098-1063
DOI:10.1002/hipo.23364