Superposition catastrophe and form-motion binding

Pattern Recognition without a Superposition Catastrophe

June 2, 2005 Abstract Using an oscillatory network model that combines classical network models with phase dynamics, we demonstrate how the superposition catastrophe of pattern recognition may be avoided in the context of phase models. The model is designed to meet two requirements: on/o¤ states should correspond to high/low phase velocities, and patterns should be retrieved in coherent mode. N...

Superposition with Equivalence Reasoning and Delayed Clause Normal Form Transformation

Synthesis and recognition of biological motion patterns based on linear superposition of prototypical motion sequences

The linear-combination of prototypical views has been shown to provide a powerful method for the recognition and analysis of images of three-dimensional stationary objects. In this paper, we present preliminary results on an extension of this idea to video sequences. For this extension, the computation of correspondences in space-time turns out to be the central theoretical problem, which we so...

Contributions of form, motion and task to biological motion perception.

The ability of human observers to detect 'biological motion' of humans and animals has been taken as evidence of specialized perceptual mechanisms. This ability remains unimpaired when the stimulus is reduced to a moving array of dots representing only the joints of the agent: the point light walker (PLW) (G. Johansson, 1973). Such stimuli arguably contain underlying form, and recent debate has...

Cortical Dynamics of Form and Motion Integration : Persistence , Apparent Motion

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, and the motion percept is apparent motion between the emergent forms? We develop a neural model of form-motion interactions to explain and simulate parametric properties of psychophysical motion data and to make predictions ab...