Theta oscillations play a major role in temporarily defining the hippocampal rate code by translating behavioral sequences into neuronal representations. However, mechanisms constraining phase timing and cell-type-specific phase preference are unknown. Here, we employ computational models tuned with evolutionary algorithms to evaluate phase preference of individual CA1 pyramidal cells recorded in mice and rats not engaged in any particular memory task. We applied unbiased and hypothesis-free approaches to identify effects of intrinsic and synaptic factors, as well as cell morphology, in determining phase preference. We found that perisomatic inhibition delivered by complementary populations of basket cells interacts with input pathways to shape phase-locked specificity of deep and superficial pyramidal cells. Somatodendritic integration of fluctuating glutamatergic inputs defined cycle-by-cycle by unsupervised methods demonstrated that firing selection is tuneable across sublayers. Our data identify different mechanisms of phase-locking selectivity that are instrumental for flexible dynamical representations of theta sequences.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7200700PMC
http://dx.doi.org/10.1038/s41467-020-15840-6DOI Listing

Publication Analysis

Top Keywords

phase preference
12
theta oscillations
8
pyramidal cells
8
multimodal determinants
4
determinants phase-locked
4
phase-locked dynamics
4
dynamics deep-superficial
4
deep-superficial hippocampal
4
hippocampal sublayers
4
sublayers theta
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!