A neural model of how the brain computes heading from optic flow in realistic scenes.

@article{Browning2009ANM,
  title={A neural model of how the brain computes heading from optic flow in realistic scenes.},
  author={N. Andrew Browning and Stephen Grossberg and Ennio Mingolla},
  journal={Cognitive psychology},
  year={2009},
  volume={59 4},
  pages={320-56}
}
Visually-based navigation is a key competence during spatial cognition. Animals avoid obstacles and approach goals in novel cluttered environments using optic flow to compute heading with respect to the environment. Most navigation models try either explain data, or to demonstrate navigational competence in real-world environments without regard to behavioral and neural substrates. The current article develops a model that does both. The ViSTARS neural model describes interactions among neurons… CONTINUE READING

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