We summarize the various strands of research on peripheral vision and relate them to
theories of form perception. After a historical overview, we describe quantifications of the …

An historical discussion is provided of the intellectual trends that caused nineteenth century
interdisciplinary studies of physics and psychobiology by leading scientists such as …

Deep neural networks (DNNs) have had extraordinary successes in classifying
photographic images of objects and are often described as the best models of biological …

A neural network architecture for the learning of recognition categories is derived. Real-time
network dynamics are completely characterized through mathematical analysis and …

The Gestalt law of “good continuation” has been used to describe a variety of phenomena
demonstrating the importance of continuity in human perception. In this study, we consider …

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Aims and Scope This book is both an introductory textbook and a research monograph on
modeling the statistical structure of natural images. In very simple terms,“natural images” are …

Theories of object recognition differ to the extent that they consider object representations as
being mediated only by the shape of the object, or shape and surface details, if surface …

Artificial Neural Networks are being touted as the wave of the future in computing. They are
indeed self learning mechanisms which don't require the traditional skills of a programmer …

Progress in deep learning has spawned great successes in many engineering applications.
As a prime example, convolutional neural networks, a type of feedforward neural networks …