Visually Guided Collision Avoidance Models

OLIVA D.

Encyclopedia of Computational Neuroscience

Springer

Año: 2015; p. 1 - 20

Visually guided collision avoidance models (VGCAMs) describe the operation of sensory and motor neuronal circuits detecting potential collisions and producing motor avoidance responses. To describe these sensory-motor transformations, VGCAMs usually begin as phenomenological descriptions of responses, and then focus on the study of associated neural circuits and biophysical mechanisms. At the sensory level, several biophysical processes operate in parallel to shape and tune the visual response of collision detecting neurons. VGCAMs also generate descriptions about the operation of intermediate circuits linking sensory input and motor output, when experimental data about these intermediate circuits is incomplete.