Spatial navigation model based on chaotic attractor networks
- Author(s): Voicu, Horatiu;
- Kozma, Robert;
- Wong, Derek;
- Freeman, Walter J, III
- et al.
Published Web Locationhttps://doi.org/10.1080/09540090410001664641
We present a model of spatial navigation based on the non-convergent dynamics of brain activity. The system includes a hippocampal module that processes global spatial information and a cortical module that deals with local sensory information. We test the model using several spatial navigation paradigms: goal finding, shortcutting and detouring. Computer simulations show that the performance of the agent qualitatively matches that of animals and related models. This new approach provides a novel interpretation of how the brain accomplishes spatial navigation.