Motor extrapolation of occluded spatiotemporal contours

Visual interpolation and extrapolation of contours

Neural network model for completing occluded contours

When some parts of a pattern are occluded by other objects, the visual system can often estimate the shape of occluded contours from visible parts of the contours. This paper proposes a neural network model capable of such function, which is called amodal completion. The model is a hierarchical multi-layered network that has bottom-up and top-down signal paths. It contains cells of area V1, whi...

SPATIOTEMPORAL ANALYSIS OF DEFORMABLE CONTOURS by Yusuf Sinan Akgul

It is common to employ a shape model or motion model for the analysis of nonrigid motion. However, adequate amount of information about the motion type or the structure under deformation is not usually available. As a result, general assumptions have to be used for the employed model resulting in relatively inefficient and less robust systems due to inadequate constraints. In this work, we pres...

Spatiotemporal regulation of the cough motor pattern

The purpose of this study was to identify the spatiotemporal determinants of the cough motor pattern. We speculated that the spatial and temporal characteristics of the cough motor pattern would be regulated separately. Electromyograms (EMG) of abdominal muscles (ABD, rectus abdominis or transversus abdominis), and parasternal muscles (PS) were recorded in anesthetized cats. Repetitive coughing...

Motor expertise facilitates the accuracy of state extrapolation in perception

Predicting the behavior of objects in the environment is an important requirement to overcome latencies in the sensorimotor system and realize precise actions in rapid situations. Internal forward models that were acquired during motor training might not only be used for efficiently controlling fast motor behavior but also to facilitate extrapolation performance in purely perceptual tasks. In t...