Dynamical mean-field theory for a highly heterogeneous neural population with graded persistent activity of the entorhinal cortex.

ABSTRACT: The entorhinal cortex serves as a major gateway connecting the hippocampus and neocortex, playing a pivotal role in episodic memory formation. Neurons in the entorhinal cortex exhibit two notable features associated with temporal information processing: a population-level ability to encode long temporal signals and a single-cell characteristic known as graded-persistent activity, where some neurons maintain activity for extended periods even without external inputs. However, the relationship between these single-cell characteristics and population dynamics has remained unclear, largely due to the absence of a framework to describe the dynamics of neural populations with highly heterogeneous time scales. To address this gap, we extend the dynamical mean field theory, a powerful framework fo

SUBMITTER: Tomita F 

PROVIDER: S-EPMC12456838 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature