Scientists have observed local field potential theta rhythms (3–12 Hz) in the hippocampus for
decades, but understanding the mechanisms underlying their generation is complicated by …

Oscillations in local field potentials (LFPs) are prevalent and contribute to brain function. An
understanding of the cellular correlates and pathways affecting LFPs is needed, but many …

Computational models of neural circuits with varying levels of biophysical detail have been
generated in pursuit of an underlying mechanism explaining the ubiquitous hippocampal …

The wide variety of cell types and their inherent biophysical complexities pose a challenge to
our understanding of oscillatory activities produced by cellular-based computational models…

It has been shown that different inhibitory cell types underlie brain rhythmic and cross-frequency
coupling output, but exactly how inhibitory cell types manifest their contributions to these …

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 …

We describe two previously presented approaches to modeling oscillations in brain microcircuits
in which multiple levels of organization and cellular perspectives are considered. We …

Scientists have observed theta rhythms (3–12 Hz) in the hippocampus for decades, but we
do not have a clear understanding of how they are generated. This is largely due to the …

Large-scale computational models of the brain are necessary to accurately represent
anatomical and functional variability in neuronal biophysics across brain regions and also to …

A prevalent local field potential (LFP) rhythm in the CA1 hippocampus associated with
memory processing and spatial navigation is the (3-12 Hz) theta oscillation. Theta rhythms …