Capacity, robustness, and error correction

How are neural codes structured to simultaneously achieve a high capacity and robustness to noise? What are the constraints on coding capacity if the network dynamics are responsible for error correction? How do the imperatives of error-correction and compression interact to shape neural representations? The Fiete group studies these questions in the context of the grid cell code and high-capacity Hopfield-like network dynamics. Our collaborators include Ngoc Tran’s group.