The characterization of hippocampal theta-driving neurons - a time-delayed mutual information approach.

ABSTRACT: Interneurons are important for computation in the brain, in particular, in the information processing involving the generation of theta oscillations in the hippocampus. Yet the functional role of interneurons in the theta generation remains to be elucidated. Here we use time-delayed mutual information to investigate information flow related to a special class of interneurons-theta-driving neurons in the hippocampal CA1 region of the mouse-to characterize the interactions between theta-driving neurons and theta oscillations. For freely behaving mice, our results show that information flows from the activity of theta-driving neurons to the theta wave, and the firing activity of theta-driving neurons shares a substantial amount of information with the theta wave regardless of behavioral state

SUBMITTER: Li S 

PROVIDER: S-EPMC5514076 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature