Global Distortions from Local Rewards: Neural Coding Strategies in Path-Integrating Neural Systems

Acosta, F., Dinc, F., Redman, W., Madhav, M., Klindt, D., Miolane, N.

Grid cells, traditionally understood to encode physical location, exhibit globally distorted firing patterns in response to rewarded landmarks; by training path-integrating recurrent neural networks, this study reveals how spatial and reward information integrate in grid-like codes, offering a framework that bridges computational modeling with biologically grounded spatial navigation.