Open AccessPosition–theta-phase model of hippocampal place cell activity applied to quantification of running speed modulation of firing rate
Author(s) -
Kathryn McClain,
David Tingley,
David J. Heeger,
György Buzsáki
Publication year - 2019
Publication title -
proceedings of the national academy of sciences of the united states of america
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.011
H-Index - 771
eISSN - 1091-6490
pISSN - 0027-8424
DOI - 10.1073/pnas.1912792116
Subject(s) - place cell , position (finance) , modulation (music) , hippocampal formation , grid cell , oscillation (cell signaling) , computer science , phase (matter) , local field potential , simulation , neuroscience , physics , mathematics , chemistry , biology , grid , geometry , acoustics , finance , quantum mechanics , economics , biochemistry
Significance The hippocampus is heavily studied in the context of spatial navigation, and the format of spatial information in the hippocampus is multifaceted and complex. Furthermore, the hippocampus is also thought to contain information about other important aspects of behavior such as running speed, although there is not agreement on the nature and magnitude of their effect. To understand how all of these variables are simultaneously represented and used to guide behavior, a theoretical framework is needed that can be directly applied to the data we record. We present a model that captures well-established spatial-encoding features of hippocampal activity and provides the opportunity to identify and incorporate novel features for our collective understanding.