Pattern Separation in the Dentate Gyrus: Integrating Experimental Data with Neural Attractor Dynamics

Abstract: Memory encoding relies on “pattern separation,” the ability of the brain to store similar experiences as distinct representations to prevent memory overlap and confusion. While the dentate gyrus (DG) of the hippocampus is hypothesized to be the primary site for this computation, direct evidence of how its complex circuitry transforms inputs from the entorhinal cortex remains elusive. This project aims to bridge the gap between theory and biological reality by integrating high-resolution experimental imaging of neuronal activity with computational neural attractor models. By mapping how specific network and cellular properties drive this process, the researchers seek to uncover the fundamental neural dynamics that allow the brain to distinguish and store memories with precision.