Move a virtual agent across a 2D spatial environment to visualize hexagonal grid cell firing fields generated by bio-inspired Continuous Attractor Networks (CAN).
[Click or drag cursor inside the arena to move the agent]
(x: 1.42m, y: -0.88m)
60° Hexagonal Symmetric
High Localization Accuracy
Developed as part of bio-inspired robotics research in Prof. Schwarz's Lab at McGill University (co-authoring RatSLAM 2.0 / VectorHaSH), this lab models how entorhinal cortex grid cells encode spatial metrics.
Models a 2D neural manifold where localized activity "bumps" shift in response to velocity input (path integration), maintaining stable spatial representations even without visual landmarks.
Demonstrates how individual grid cells fire at periodic triangular nodes forming a 60° spatial lattice, providing an internal coordinate system for robotic SLAM and biological navigation.