A new method called Geodesic Flow Matching improves the denoising of high-dimensional representations in neurosymbolic reasoning by adhering to the geometric constraints of Spatial Semantic Pointers. This advancement has shown significant improvements in tracking accuracy and neural efficiency in Spiking Neural SLAM systems, potentially impacting applications in robotics and AI navigation.