A model of neural mechanisms in monocular transparent motion perception

Florian Raudies (1) , Pierre Bayerl (1) , Heiko Neumann (1)

1 Institute of Neural Information Processing [Ulm]

Transparent motion is perceived when multiple motions are presented in the same part of visual space which moves in different directions. Several psychophysical as well as physiological experiments have studied the conditions under which motion transparency occurs. Few model mechanisms have been proposed to segregate multiple motions. We present a novel neural model which investigates the necessary mechanisms underlying initial motion detection, the required representations for velocity coding, and the integration and segregation of motion stimuli. The model extends a previously developed architecture for dorsal pathway computations, particularly, in cortical areas V1, MT, and MST, emphasizing the role of feedforward cascade processing and feedback from higher to earlier stages for selective feature enhancement and tuning. Our results demonstrate that the model reproduces several psychophysical findings using random dot stimuli. Moreover, the model is able to process transparent motion in real-world sequences of 3D scenes.

Mots clés: Neuronal models; Movement; Attention; Population coding

Domaines: Neurosciences [q-bio.NC]; Neurosciences

Florian Raudies, Pierre Bayerl, Heiko Neumann. A model of neural mechanisms in monocular transparent motion perception. Deuxième conférence française de Neurosciences Computationnelles, "Neurocomp08", Oct 2008, Marseille, France. ⟨hal-00331556⟩