Isabel I. C. Low

The paper shows that MEC neurons represent remote task-relevant locations during immobility, independent of CA1 activity.

This study uses recurrent neural networks to model how navigational circuits can maintain local computations while responding to global context changes, showing activity patterns similar to entorhinal cortex remapping.

This study uses task-driven neural networks to show that heterogeneous MEC cells are functionally significant and that reward-modulated models better capture MEC response profiles than traditional models.

The paper shows that the medial entorhinal cortex can spontaneously switch between spatial maps in an unchanging environment, with population-level features preserved despite individual neuron changes.

The paper studies how neurons and glia in C. elegans develop epithelial-like structures, showing they share properties and mechanisms with other epithelia.