Predictive coding in a biophysically detailed Continuous attractor model of grid cells
Inayath Shaikh, Collins Assisi · COSYNE 2025
Grid cells in the medial entorhinal cortex (MEC) of mammalian brains show hexagonal firing fields and are thought to encode the animal’s current location in the environment. As the animal moves, grid cells integrate self-motion cues to track the current position relative to a starting reference location. Recent experiments have identified a class of predictive grid cells that encode the animal’s upcoming location 1,2. Continuous attractor networks (CAN) explain how grid cells develop their characteristic hexagonal firing pattern and enable path integration. But how does predictive coding arise
ePoster · Neuroscience