2025
Spatial-Aware Decision-Making with Ring Attractors in Reinforcement Learning Systems
NeurIPS 2025poster
Ring attractors, mathematical models inspired by neural circuit dynamics, provide a biologically plausible mechanism to improve learning speed and accuracy in Reinforcement Learning (RL). Serving as specialized brain-inspired structures that encode spatial information and uncertainty, ring attractor…