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

  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},
  volume={59 4},
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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Publications referenced by this paper.
Showing 1-10 of 90 references

Emulating the visual receptive-field properties of MST neurons with a template model of heading estimation.

The Journal of neuroscience : the official journal of the Society for Neuroscience • 1998
View 8 Excerpts
Highly Influenced

MST neurons respond to optic flow and translational movement.

Journal of neurophysiology • 1998
View 6 Excerpts
Highly Influenced

Eye movements and optical flow.

Journal of the Optical Society of America. A, Optics and image science • 1990
View 8 Excerpts
Highly Influenced

The interpretation of a moving retinal image.

Proceedings of the Royal Society of London. Series B, Biological sciences • 1980
View 15 Excerpts
Highly Influenced

DISCOV: A neural model of colour vision, withapplications to image processing and classification

S. Chelian, G. A. Carpenter
View 2 Excerpts
Highly Influenced

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