How do spatially disjoint and ambiguous local motion signals in multiple directions generate
coherent and unambiguous representations of object motion? Various motion percepts …

The brain carries out complementary motion integration and segmentation processes to
compute unambiguous global motion percepts from ambiguous local motion signals. When …

How do visual form and motion processes cooperate to compute object motion when each
process separately is insufficient? A 3D FORMOTION model specifies how 3D boundary …

This article analyzes computational properties that clarify why the parallel cortical systems
V1→ V2, V1→ MT, and V1→ V2→ MT exist for the perceptual processing of static visual …

How does the visual system generate percepts of moving forms? How does this happen
when the forms are emergent percepts, such as illusory contours or segregated textures …

A neural network model of global motion segmentation by visual cortex is described. Called
the motion boundary contour system (BCS), the model clarifies how ambiguous local …

Identical local image motion signals can arise from countless object motions in the world. In
order to resolve this ambiguity, the visual system must somehow integrate motion signals …

This article describes further evidence for a new neural network theory of biological motion
perception. The theory clarifies why parallel streams V1→ V2, V1→ MT, and V1→ V2→ MT …

The neural mechanisms underlying motion segregation and integration still remain unclear
to a large extent. Local motion estimates often are ambiguous in the lack of form features …

The percepts known variously as the line motion illusion, motion induction, and
transformational apparent motion have attracted a great deal of experimental interest, since …