NIH R01 · 2025
A Control Theoretic Approach to Addressing Hippocampal Function
Understanding the interplay between sensory input, endogenous neural dynamics, and behavioral output is key to understanding how the brain works at the level of neural computation. Hippocampal place cells are an ideal system to investigate this closed-loop interaction, as they combine input from self-motion cues and external landmarks to continuously update a dynamic neural network that creates an internal representation of location on a cognitive map. The normal functioning of this system is critical for such cognitive processes as flexible navigation, imagining the future, and autobiographical (episodic) memory. Animals can localize themselves by keeping track of their movements and…
From the public funding record at NIH RePORTER. Describes the funded project, not the reviews below.