Genela Morris

This paper introduces a unified recurrent network model that co-emerges grid and place cells without supervision or pre-existing spatial-cell representations, reproducing experimental observations.

The paper shows that spatial remapping in the hippocampal formation follows low-dimensional geometric transformations across environments.

This paper proposes a system-level theory of MEC-HC wiring to explain how grid and place cell patterns enable cue-triggered goal retrieval and path planning, validated through simulations.

The paper examines whether hippocampal cells encode time or distance during treadmill experiments and finds that cell encoding depends on the type of task.

The paper shows that experience, not time, drives representational drift in hippocampal place cells during repeated exposure to familiar environments.

The paper estimates attentional set-shifting dynamics using a Non-Homogeneous Hidden Markov Model framework and compares it to classical HMMs on synthetic data.

The paper identifies a subset of mitral/tufted cells in the olfactory bulb that represent odor concentration changes, enhancing temporal contrast and aiding in navigational decisions.