Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challeng 2000
DOI: 10.1109/ijcnn.2000.860783
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An oscillatory correlation model of human motion perception

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“…Their output can be described by global velocity likelihoods [25], velocity distributions at every position [15,5], filter responses [1], time-correlated spike trains [13], or d flow fields [3]. A typical biological model of motion integration might include v layers with filter-like responses, mt layers corresponding to local pattern translational motions and mst layers giving indications of global rotation or expansion motions.…”
Section: Inhomogeneity Of the Motion Representationsmentioning
confidence: 99%
“…Their output can be described by global velocity likelihoods [25], velocity distributions at every position [15,5], filter responses [1], time-correlated spike trains [13], or d flow fields [3]. A typical biological model of motion integration might include v layers with filter-like responses, mt layers corresponding to local pattern translational motions and mst layers giving indications of global rotation or expansion motions.…”
Section: Inhomogeneity Of the Motion Representationsmentioning
confidence: 99%