Behnam Ghazinouri

This paper models reversal learning in spatial navigation using spiking neural networks and identifies neural mechanisms that enable behavioral flexibility with associated costs.

This study uses closed-loop simulations to show that efficient spatial coding, particularly through place cell parameters and Fisher information, is critical for navigation performance.