Download or read book Computational Models of Feedforward and Feedback Pathways in the Visual Cortex written by Thomas Joseph Sullivan and published by . This book was released on 2006 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Towards an Integrated Model of Feedforward feedback Processing in the Visual Cortex written by Ivaylo P. Riskov and published by . This book was released on 2008 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of this work is to explore a potential improvement on a visual recognition system. The system is a biologically-plausible computational model of the feedforward part of the ventral stream in the visual cortex and successfully models human performance on visual recognition tasks for the first 50-100 milliseconds since the presentation of the visual stimulus. We make the first steps to a possible augmentation of the system that will account for both feedforward and feedback processes in the ventral stream. We explore the plausibility of Bayesian network models for feedback. Our results show that although the resulting system under performs the original, it has a better rate of improvement as more and more training examples are added to it.
Download or read book Feedforward and Feedback Processes in Vision written by Hulusi Kafaligonul and published by Frontiers Media SA. This book was released on 2015-07-10 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt: The visual system consists of hierarchically organized distinct anatomical areas functionally specialized for processing different aspects of a visual object (Felleman & Van Essen, 1991). These visual areas are interconnected through ascending feedforward projections, descending feedback projections, and projections from neural structures at the same hierarchical level (Lamme et al., 1998). Accumulating evidence from anatomical, functional and theoretical studies suggests that these three projections play fundamentally different roles in perception. However, their distinct functional roles in visual processing are still subject to debate (Lamme & Roelfsema, 2000). The focus of this Research Topic is the roles of feedforward and feedback projections in vision. Even though the notions of feedforward, feedback, and reentrant processing are widely accepted, it has been found difficult to distinguish their individual roles on the basis of a single criterion. We welcome empirical contributions, theoretical contributions and reviews that fit into any one (or a combination) of the following domains: 1) their functional roles for perception of specific features of a visual object 2) their contributions to the distinct modes of visual processing (e.g., pre-attentive vs. attentive, conscious vs. unconscious) 3) recent techniques/methodologies to identify distinct functional roles of feedforward and feedback projections and corresponding neural signatures. We believe that the current Research Topic will not only provide recent information about feedforward/feedback processes in vision but also contribute to the understanding fundamental principles of cortical processing in general.
Download or read book Models of Neural Networks IV written by J. Leo van Hemmen and published by Springer Science & Business Media. This book was released on 2002 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume, with chapters by leading researchers in the field, is devoted to early vision and attention, that is, to the first stages of visual information processing. This state-of-the-art look at biological neural networks spans the many subfields, such as computational and experimental neuroscience; anatomy and physiology; visual information processing and scene segmentation; perception at illusory contours; control of visual attention; and paradigms for computing with spiking neurons.
Download or read book Hierarchical Object Representations in the Visual Cortex and Computer Vision written by Antonio Rodríguez-Sánchez and published by Frontiers Media SA. This book was released on 2016-06-08 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the past 40 years, neurobiology and computational neuroscience has proved that deeper understanding of visual processes in humans and non-human primates can lead to important advancements in computational perception theories and systems. One of the main difficulties that arises when designing automatic vision systems is developing a mechanism that can recognize - or simply find - an object when faced with all the possible variations that may occur in a natural scene, with the ease of the primate visual system. The area of the brain in primates that is dedicated at analyzing visual information is the visual cortex. The visual cortex performs a wide variety of complex tasks by means of simple operations. These seemingly simple operations are applied to several layers of neurons organized into a hierarchy, the layers representing increasingly complex, abstract intermediate processing stages. In this Research Topic we propose to bring together current efforts in neurophysiology and computer vision in order 1) To understand how the visual cortex encodes an object from a starting point where neurons respond to lines, bars or edges to the representation of an object at the top of the hierarchy that is invariant to illumination, size, location, viewpoint, rotation and robust to occlusions and clutter; and 2) How the design of automatic vision systems benefit from that knowledge to get closer to human accuracy, efficiency and robustness to variations.
Download or read book Simple Cell Adaptation in Visual Cortex written by Alistair J. Bray and published by . This book was released on 1996 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "This document describes an activity-based model of information processing in the early mammalian visual pathway. The work has been published previously in an abbreviated form [9], so this report is intended to present a more complete story. The model describes the retina, lateral geniculate nucleus (LGN), and development of simple cells in visual cortex (layer IVc of V1). In the retina we employ a non-adaptive model of on-centre and off-centre retinal ganglion cells (the tonic cells only) that is a non-linear approximation to difference-of-Gaussian processing. The output of this provides input to the LGN where the On and Off channels are kept separate. Here we simulate the effects of local inhibitory lateral interactions; this stage is also non-adaptive. Simple cells in the cortical model receive feedforward excitation from both the On and Off channels projecting out of the LGN. We propose a dual population model in which one population excites close neighbours while the other inhibits all neighbours within a greater area. We simulate this dynamic feedback using an iterative method, and when the network activity is stable we adapt all feedforward weights connecting simple cells to the LGN using a Hebbian (correlation-based) learning rule. We find that when presenting the network with many samples from natural images, the simple cells' feedforward weights adapt to become 'edge' and 'bar' detectors with receptive fields extremely similar to Gabor functions. These edge and bar detectors are orientation selective, and the orientation preference of different simple cells varies smoothly across the cortical surface. When plotting preferred orientation we get 'orientation maps' qualitatively similar to those documented in neurophysiological literature (in terms of smoothness & singularities). We examine these maps (and others) in terms of their auto-correlation matrix and orientation distribution. Finally we describe preliminary experiments in which the lateral connections within the cortex are adaptive; we find that regions of simple cells develop within which the cells have similar receptive fields but between which the cells have different receptive fields."
Download or read book Computational Models of Visual Processing written by Michael S. Landy and published by MIT Press. This book was released on 1991 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: The more than twenty contributions in this book, all new and previously unpublished, provide an up-to-date survey of contemporary research on computational modeling of the visual system. The approaches represented range from neurophysiology to psychophysics, and from retinal function to the analysis of visual cues to motion, color, texture, and depth. The contributions are linked thematically by a consistent consideration of the links between empirical data and computational models in the study of visual function. An introductory chapter by Edward Adelson and James Bergen gives a new and elegant formalization of the elements of early vision. Subsequent sections treat receptors and sampling, models of neural function, detection and discrimination, color and shading, motion and texture, and 3D shape. Each section is introduced by a brief topical review and summary. ContributorsEdward H. Adelson, Albert J. Ahumada, Jr., James R. Bergen, David G. Birch, David H. Brainard, Heinrich H. Bülthoff, Charles Chubb, Nancy J. Coletta, Michael D'Zmura, John P. Frisby, Norma Graham, Norberto M. Grzywacz, P. William Haake, Michael J. Hawken, David J. Heeger, Donald C. Hood, Elizabeth B. Johnston, Daniel Kersten, Michael S. Landy, Peter Lennie, J. Stephen Mansfield, J. Anthony Movshon, Jacob Nachmias, Andrew J. Parker, Denis G. Pelli, Stephen B. Pollard, R. Clay Reid, Robert Shapley, Carlo L. M. Tiana, Brian A. Wandell, Andrew B. Watson, David R. Williams, Hugh R. Wilson, Yuede. Yang, Alan L. Yuille
Download or read book Developmental Stereo written by Mojtaba Solgi and published by ProQuest. This book was released on 2009 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Computational Modelling of the Brain written by Michele Giugliano and published by Springer Nature. This book was released on 2022-04-26 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume offers an up-to-date overview of essential concepts and modern approaches to computational modelling, including the use of experimental techniques related to or directly inspired by them. The book introduces, at increasing levels of complexity and with the non-specialist in mind, state-of-the-art topics ranging from single-cell and molecular descriptions to circuits and networks. Four major themes are covered, including subcellular modelling of ion channels and signalling pathways at the molecular level, single-cell modelling at different levels of spatial complexity, network modelling from local microcircuits to large-scale simulations of entire brain areas and practical examples. Each chapter presents a systematic overview of a specific topic and provides the reader with the fundamental tools needed to understand the computational modelling of neural dynamics. This book is aimed at experimenters and graduate students with little or no prior knowledge of modelling who are interested in learning about computational models from the single molecule to the inter-areal communication of brain structures. The book will appeal to computational neuroscientists, engineers, physicists and mathematicians interested in contributing to the field of neuroscience. Chapters 6, 10 and 11 are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Download or read book Computational Models of Primary Visual Cortex and the Structure of Natural Images written by Hauke Bartsch and published by . This book was released on 2004 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Emergent Neural Computational Architectures Based on Neuroscience written by Stefan Wermter and published by Springer. This book was released on 2003-05-15 with total page 587 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is generally understood that the present approachs to computing do not have the performance, flexibility, and reliability of biological information processing systems. Although there is a comprehensive body of knowledge regarding how information processing occurs in the brain and central nervous system this has had little impact on mainstream computing so far. This book presents a broad spectrum of current research into biologically inspired computational systems and thus contributes towards developing new computational approaches based on neuroscience. The 39 revised full papers by leading researchers were carefully selected and reviewed for inclusion in this anthology. Besides an introductory overview by the volume editors, the book offers topical parts on modular organization and robustness, timing and synchronization, and learning and memory storage.
Download or read book Computational Neuroscience written by James M. Bower and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 897 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book The New Cognitive Neurosciences written by Michael S. Gazzaniga and published by MIT Press. This book was released on 2000 with total page 1468 pages. Available in PDF, EPUB and Kindle. Book excerpt: This second edition reflects the many advances that have taken place in this field, particularly in imaging and recording techniques. The majority of the chapters in this edition of "The Cognitive Neurosciences" are new, and those from the first edition have been rewritten and updated.
Download or read book Dissertation Abstracts International written by and published by . This book was released on 2007 with total page 902 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A Computational Perspective on Visual Attention written by John K. Tsotsos and published by MIT Press. This book was released on 2021-06-22 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: The derivation, exposition, and justification of the Selective Tuning model of vision and attention. Although William James declared in 1890, "Everyone knows what attention is," today there are many different and sometimes opposing views on the subject. This fragmented theoretical landscape may be because most of the theories and models of attention offer explanations in natural language or in a pictorial manner rather than providing a quantitative and unambiguous statement of the theory. They focus on the manifestations of attention instead of its rationale. In this book, John Tsotsos develops a formal model of visual attention with the goal of providing a theoretical explanation for why humans (and animals) must have the capacity to attend. He takes a unique approach to the theory, using the full breadth of the language of computation—rather than simply the language of mathematics—as the formal means of description. The result, the Selective Tuning model of vision and attention, explains attentive behavior in humans and provides a foundation for building computer systems that see with human-like characteristics. The overarching conclusion is that human vision is based on a general purpose processor that can be dynamically tuned to the task and the scene viewed on a moment-by-moment basis. Tsotsos offers a comprehensive, up-to-date overview of attention theories and models and a full description of the Selective Tuning model, confining the formal elements to two chapters and two appendixes. The text is accompanied by more than 100 illustrations in black and white and color; additional color illustrations and movies are available on the book's Web site.
Download or read book Mind Brain and Education Science A Comprehensive Guide to the New Brain Based Teaching written by Tracey Tokuhama-Espinosa and published by W. W. Norton & Company. This book was released on 2010-12-20 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: Establishing the parameters and goals of the new field of mind, brain, and education science. A groundbreaking work, Mind, Brain, and Education Science explains the new transdisciplinary academic field that has grown out of the intersection of neuroscience, education, and psychology. The trend in “brain-based teaching” has been growing for the past twenty years and has exploded in the past five to become the most authoritative pedagogy for best learning results. Aimed at teachers, teacher trainers and policy makers, and anyone interested in the future of education in America and beyond, Mind, Brain, and Education Science responds to the clamor for help in identifying what information could and should apply in classrooms with confidence, and what information is simply commercial hype. Combining an exhaustive review of the literature, as well as interviews with over twenty thought leaders in the field from six different countries, this book describes the birth and future of this new and groundbreaking discipline. Mind, Brain, and Education Science looks at the foundations, standards, and history of the field, outlining the ways that new information should be judged. Well-established information is elegantly separated from “neuromyths” to help teachers split the wheat from the chaff in classroom planning, instruction and teaching methodology.
Download or read book Computational Models for Cognitive Vision written by Hiranmay Ghosh and published by John Wiley & Sons. This book was released on 2020-07-01 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to apply cognitive principles to the problems of computer vision Computational Models for Cognitive Vision formulates the computational models for the cognitive principles found in biological vision, and applies those models to computer vision tasks. Such principles include perceptual grouping, attention, visual quality and aesthetics, knowledge-based interpretation and learning, to name a few. The author’s ultimate goal is to provide a framework for creation of a machine vision system with the capability and versatility of the human vision. Written by Dr. Hiranmay Ghosh, the book takes readers through the basic principles and the computational models for cognitive vision, Bayesian reasoning for perception and cognition, and other related topics, before establishing the relationship of cognitive vision with the multi-disciplinary field broadly referred to as “artificial intelligence”. The principles are illustrated with diverse application examples in computer vision, such as computational photography, digital heritage and social robots. The author concludes with suggestions for future research and salient observations about the state of the field of cognitive vision. Other topics covered in the book include: · knowledge representation techniques · evolution of cognitive architectures · deep learning approaches for visual cognition Undergraduate students, graduate students, engineers, and researchers interested in cognitive vision will consider this an indispensable and practical resource in the development and study of computer vision.
