Neural Network Models of Illusory Contour Perception/ B. Ringer
Author | : B. Ringer |
Publisher | : |
Total Pages | : 80 |
Release | : 1992 |
Genre | : |
ISBN | : |
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Author | : B. Ringer |
Publisher | : |
Total Pages | : 80 |
Release | : 1992 |
Genre | : |
ISBN | : |
Author | : J. Skrzypek |
Publisher | : |
Total Pages | : 27 |
Release | : 1991 |
Genre | : |
ISBN | : |
Author | : Brian Ringer |
Publisher | : |
Total Pages | : 27 |
Release | : 1992 |
Genre | : Computer vision |
ISBN | : |
Furthermore, the model explains the three major perceptual effects associated with illusory contours: oriented contour perception, depth effects and increased brightness."
Author | : Brian Ringer |
Publisher | : |
Total Pages | : 80 |
Release | : 1992 |
Genre | : Computer vision |
ISBN | : |
Furthermore, the model explains the three major perceptual effects associated with illusory contours: oriented contour perception, depth effects and increased brightness."
Author | : James M. Bower |
Publisher | : Springer Science & Business Media |
Total Pages | : 897 |
Release | : 2013-06-29 |
Genre | : Medical |
ISBN | : 1475798008 |
This volume includes papers presented at the Fifth Annual Computational Neurosci ence meeting (CNS*96) held in Boston, Massachusetts, July 14 - 17, 1996. This collection includes 148 of the 234 papers presented at the meeting. Acceptance for mceting presenta tion was based on the peer review of preliminary papers originally submitted in May of 1996. The papers in this volume represent final versions of this work submitted in January of 1997. As represented by this volume, computational neuroscience continues to expand in quality, size and breadth of focus as increasing numbers of neuroscientists are taking a computational approach to understanding nervous system function. Defining computa tional neuroscience as the exploration of how brains compute, it is clear that there is al most no subject or area of modern neuroscience research that is not appropriate for computational studies. The CNS meetings as well as this volume reflect this scope and di versity.
Author | : Josef Skrzypek |
Publisher | : Springer Science & Business Media |
Total Pages | : 263 |
Release | : 2012-12-06 |
Genre | : Science |
ISBN | : 1461527368 |
Neural Network Simulation Environments describes some of the best examples of neural simulation environments. All current neural simulation tools can be classified into four overlapping categories of increasing sophistication in software engineering. The least sophisticated are undocumented and dedicated programs, developed to solve just one specific problem; these tools cannot easily be used by the larger community and have not been included in this volume. The next category is a collection of custom-made programs, some perhaps borrowed from other application domains, and organized into libraries, sometimes with a rudimentary user interface. More recently, very sophisticated programs started to appear that integrate advanced graphical user interface and other data analysis tools. These are frequently dedicated to just one neural architecture/algorithm as, for example, three layers of interconnected artificial `neurons' learning to generalize input vectors using a backpropagation algorithm. Currently, the most sophisticated simulation tools are complete, system-level environments, incorporating the most advanced concepts in software engineering that can support experimentation and model development of a wide range of neural networks. These environments include sophisticated graphical user interfaces as well as an array of tools for analysis, manipulation and visualization of neural data. Neural Network Simulation Environments is an excellent reference for researchers in both academia and industry, and can be used as a text for advanced courses on the subject.
Author | : Richard Boyle |
Publisher | : Springer |
Total Pages | : 856 |
Release | : 2007-11-22 |
Genre | : Computers |
ISBN | : 3540768580 |
The two volume set LNCS 4841 and LNCS 4842 constitutes the refereed proceedings of the Third International Symposium on Visual Computing, ISVC 2007, held in Lake Tahoe, NV, USA, in November 2007. The 77 revised full papers and 42 poster papers presented together with 32 full and five poster papers of six special tracks were carefully reviewed and selected. The papers cover the four main areas of visual computing: vision, graphics, visualization, and virtual reality.
Author | : Daniel S. Levine |
Publisher | : Psychology Press |
Total Pages | : 525 |
Release | : 2013-06-17 |
Genre | : Psychology |
ISBN | : 1134786387 |
This book is the third in a series based on conferences sponsored by the Metroplex Institute for Neural Dynamics, an interdisciplinary organization of neural network professionals in academia and industry. The topics selected are of broad interest to both those interested in designing machines to perform intelligent functions and those interested in studying how these functions are actually performed by living organisms and generate discussion of basic and controversial issues in the study of mind. The topic of optimality was chosen because it has provoked considerable discussion and controversy in many different academic fields. There are several aspects to the issue of optimality. First, is it true that actual behavior and cognitive functions of living animals, including humans, can be considered as optimal in some sense? Second, what is the utility function for biological organisms, if any, and can it be described mathematically? Rather than organize the chapters on a "biological versus artificial" basis or by what stance they took on optimality, it seemed more natural to organize them either by what level of questions they posed or by what intelligent functions they dealt with. The book begins with some general frameworks for discussing optimality, or the lack of it, in biological or artificial systems. The next set of chapters deals with some general mathematical and computational theories that help to clarify what the notion of optimality might entail in specific classes of networks. The final section deals with optimality in the context of many different high-level issues, including exploring one's environment, understanding mental illness, linguistic communication, and social organization. The diversity of topics covered in this book is designed to stimulate interdisciplinary thinking and speculation about deep problems in intelligent system organization.
Author | : Susan Petry |
Publisher | : Springer Science & Business Media |
Total Pages | : 802 |
Release | : 2012-12-06 |
Genre | : Psychology |
ISBN | : 1461247608 |
The Perception of Illusory Contours is a complete and comprehensive volume on one of the most important phenomena in modern perception research. An illusory contour is a demonstration in which people perceive edges, surfaces, objects and colors that have no physical reality. The international group of distinguished researchers which comprise the contributors to the volume present new theoretical interpretations and data in addition to reviewing the extensive literature on this topic. The volume begins with an introduction to the research on and theories behind illusory contours and their applications to other areas of perception, cognitive science and art. The collection also features English language translations of the seminal papers by Schumann, Ehrenstein, and Kanizsa, the scientists who originally discovered and investigated the phenomenon. The Perception of Illusory Contours contains the most comprehensive set of illusory contour figures ever assembled. The volume is a most significant reference work in an area of research at the critical intersection of perception, cognitive science, visual neurophysiology, and artificial intelligence.
Author | : Frank H. Eeckman |
Publisher | : Springer Science & Business Media |
Total Pages | : 490 |
Release | : 2012-12-06 |
Genre | : Computers |
ISBN | : 146153254X |
Computational neuroscience is best defined by its focus on understanding the nervous systems as a computational device rather than by a particular experimental technique. Accordinlgy, while the majority of the papers in this book describe analysis and modeling efforts, other papers describe the results of new biological experiments explicitly placed in the context of computational issues. The distribution of subjects in Computation and Neural Systems reflects the current state of the field. In addition to the scientific results presented here, numerous papers also describe the ongoing technical developments that are critical for the continued growth of computational neuroscience. Computation and Neural Systems includes papers presented at the First Annual Computation and Neural Systems meeting held in San Francisco, CA, July 26--29, 1992.