Download or read book Laminar Cortical Dynamics of Visual Form and Motion Interactions During Coherent Object Motion Perception written by Julia Berzhanskaya and published by . This book was released on 2006 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Dynamics of Visual Motion Processing written by Guillaume S. Masson and published by Springer Science & Business Media. This book was released on 2009-12-02 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: Motion processing is an essential piece of the complex brain machinery that allows us to reconstruct the 3D layout of objects in the environment, to break camouflage, to perform scene segmentation, to estimate the ego movement, and to control our action. Although motion perception and its neural basis have been a topic of intensive research and modeling the last two decades, recent experimental evidences have stressed the dynamical aspects of motion integration and segmentation. This book presents the most recent approaches that have changed our view of biological motion processing. These new experimental evidences call for new models emphasizing the collective dynamics of large population of neurons rather than the properties of separate individual filters. Chapters will stress how the dynamics of motion processing can be used as a general approach to understand the brain dynamics itself.

Download or read book The Embodied Brain Computational Mechanisms of Integrated Sensorimotor Interactions with a Dynamic Environment written by Mario Senden and published by Frontiers Media SA. This book was released on 2020-07-31 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Plasticity in the Visual System written by Raphael Pinaud and published by Springer Science & Business Media. This book was released on 2006-04-04 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mechanisms of neural plasticity enable the encoding and memorization of information based on sensory inputs and can be harnessed to partially restore function after CNS assault such as stroke or head trauma. In the present book, experts from the field of visual system plasticity describe and evaluate the evidence for neural mechanisms proposed to underlie CNS plasticity in the major divisions of the brain dedicated to visual processing, the retina, sub-cortical structures and cortex. We present studies from a wide variety of disciplines that range from molecular biology to neurophysiology and computer modeling. Leading investigators discuss their own work, and integrate this research with colleagues from other specializations. The book points out future applications for this research including clinical uses and engineering within the biomedical sciences. This book is an exciting and thought provoking read for all levels of science enthusiast interested in the physical basis of learning and cognition.

Download or read book Cortical Maps Data and Models written by Nick Swindale and published by Frontiers Media SA. This book was released on 2022-07-12 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Motion Planning written by Xj Jing and published by BoD – Books on Demand. This book was released on 2008-06-01 with total page 610 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, new results or developments from different research backgrounds and application fields are put together to provide a wide and useful viewpoint on these headed research problems mentioned above, focused on the motion planning problem of mobile ro-bots. These results cover a large range of the problems that are frequently encountered in the motion planning of mobile robots both in theoretical methods and practical applications including obstacle avoidance methods, navigation and localization techniques, environmental modelling or map building methods, and vision signal processing etc. Different methods such as potential fields, reactive behaviours, neural-fuzzy based methods, motion control methods and so on are studied. Through this book and its references, the reader will definitely be able to get a thorough overview on the current research results for this specific topic in robotics. The book is intended for the readers who are interested and active in the field of robotics and especially for those who want to study and develop their own methods in motion/path planning or control for an intelligent robotic system.

Download or read book Origins of Objectivity written by Tyler Burge and published by OUP Oxford. This book was released on 2010-03-04 with total page 656 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tyler Burge presents a substantial, original study of what it is for individuals to represent the physical world with the most primitive sort of objectivity. By reflecting on the science of perception and related psychological and biological sciences, he gives an account of constitutive conditions for perceiving the physical world, and thus aims to locate origins of representational mind. Origins of Objectivity illuminates several long-standing, central issues in philosophy, and provides a wide-ranging account of relations between human and animal psychologies.

Download or read book Perceptual Grouping of Visual Form and Motion written by Jasmin Léveillé and published by . This book was released on 2010 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: This thesis models how the brain achieves perceptual grouping in both form and motion. Perceptual grouping of form is modeled using spiking neurons. Perceptual grouping is a challenge for spiking cells because its properties of collinear facilitation and analog sensitivity occur due to binary spikes with irregular timing across many interacting cells. hi particular, illusory contours can take hundreds of milliseconds to resolve by integrating multiple spikes over time. The form grouping model reconciles fast feedforward processing with slower feedback processing in a laminar cortical network of spiking cells whose emergent properties simulate neurophysiological data These laminar dynamics shed new light on how the brain resolves local informational ambiguities through the use of properly designed nonlinear feedback spiking networks which run as fast as they can, given the amount of uncertainty in the data that they process. The motion grouping model analyzes how spatially disjoint and ambiguous local motion signals in multiple directions generate coherent and unambiguous representations of object motion. Various motion percepts, starting with those of Duncker and Johansson, obey a rule of vector decomposition, where global motion appears to be subtracted from the true motion path of localized stimulus components, so that objects and their parts are seen as moving relative to a common reference frame. The motion grouping model predicts how vector decomposition results from multiple-scale and multiple-depth interactions within and between the form and motion processing streams in V1-V2 and V1-MST, which include form grouping, form-to-motion capture, figure-ground separation, and object motion capture mechanisms. In particular, these mechanisms solve the aperture problem, group spatially disjoint moving objects via illusory contours, capture object motion direction signals on real and illusory contours, and use inter-depth directional inhibition to cause a vector decomposition. Due to inter-depth directional inhibition, motion directions of a moving frame at a nearer depth suppress these directions at a farther depth, and thereby cause a peak shift in the perceived directions of object parts moving with respect to the frame. This peak shift helps to explain the vector decomposition that is perceived between the frame and its moving parts.

Download or read book The Oxford Compendium of Visual Illusions written by Arthur Gilman Shapiro and published by Oxford University Press. This book was released on 2017 with total page 833 pages. Available in PDF, EPUB and Kindle. Book excerpt: Visual illusions are compelling phenomena that draw attention to the brain's capacity to construct our perceptual world. The Compendium is a collection of over 100 chapters on visual illusions, written by the illusion creators or by vision scientists who have investigated mechanisms underlying the phenomena. --

Download or read book Handbook of Experimental Phenomenology written by Liliana Albertazzi and published by John Wiley & Sons. This book was released on 2013-03-15 with total page 736 pages. Available in PDF, EPUB and Kindle. Book excerpt: While the scientific study of vision is well-advanced, a universal theory of qualitative visual appearances (texture, shape, colour and so on) is still lacking. This interdisciplinary handbook presents the work of leading researchers around the world who have taken up the challenge of defining and formalizing the field of ‘experimental phenomenology'. Presents and discusses a new perspective in vision science, and formalizes a field of study that will become increasingly significant to researchers in visual science and beyond The contributors are outstanding scholars in their fields with impeccable academic credentials, including Jan J. Koenderink, Irving Biederman, Donald Hoffmann, Steven Zucker and Nikos Logothetis Divided into five parts: Linking Psychophysics and Qualities; Qualities in Space, Time and Motion; Appearances; Measurement and Qualities; Science and Aesthetics of Appearances Each chapter will have the same structure consisting of: topic overview; historical roots; debate; new perspective; methods; results and recent developments

Download or read book Encyclopedia of Human Behavior written by and published by Academic Press. This book was released on 2012-01-31 with total page 2475 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Encyclopedia of Human Behavior, Second Edition, Three Voluime Set is an award-winning three-volume reference on human action and reaction, and the thoughts, feelings, and physiological functions behind those actions. Presented alphabetically by title, 300 articles probe both enduring and exciting new topics in physiological psychology, perception, personality, abnormal and clinical psychology, cognition and learning, social psychology, developmental psychology, language, and applied contexts. Written by leading scientists in these disciplines, every article has been peer-reviewed to establish clarity, accuracy, and comprehensiveness. The most comprehensive reference source to provide both depth and breadth to the study of human behavior, the encyclopedia will again be a much-used reference source. This set appeals to public, corporate, university and college libraries, libraries in two-year colleges, and some secondary schools. Carefully crafted, well written, and thoroughly indexed, the encyclopedia helps users—whether they are students just beginning formal study of the broad field or specialists in a branch of psychology—understand the field and how and why humans behave as we do. Named a 2013 Outstanding Academic Title by the American Library Association's Choice publication Concise entries (ten pages on average) provide foundational knowledge of the field Each article features suggested further readings, a list of related websites, a 5-10 word glossary and a definition paragraph, and cross-references to related articles in the encyclopedi Newly expanded editorial board and a host of international contributors from the United States, Australia, Belgium, Canada, France, Germany, Ireland, Israel, Japan, Sweden, and the United Kingdom

Download or read book Biologically Inspired Computer Vision written by Gabriel Cristobal and published by John Wiley & Sons. This book was released on 2015-11-16 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the state-of-the-art imaging technologies became more and more advanced, yielding scientific data at unprecedented detail and volume, the need to process and interpret all the data has made image processing and computer vision increasingly important. Sources of data that have to be routinely dealt with today's applications include video transmission, wireless communication, automatic fingerprint processing, massive databanks, non-weary and accurate automatic airport screening, robust night vision, just to name a few. Multidisciplinary inputs from other disciplines such as physics, computational neuroscience, cognitive science, mathematics, and biology will have a fundamental impact in the progress of imaging and vision sciences. One of the advantages of the study of biological organisms is to devise very different type of computational paradigms by implementing a neural network with a high degree of local connectivity. This is a comprehensive and rigorous reference in the area of biologically motivated vision sensors. The study of biologically visual systems can be considered as a two way avenue. On the one hand, biological organisms can provide a source of inspiration for new computational efficient and robust vision models and on the other hand machine vision approaches can provide new insights for understanding biological visual systems. Along the different chapters, this book covers a wide range of topics from fundamental to more specialized topics, including visual analysis based on a computational level, hardware implementation, and the design of new more advanced vision sensors. The last two sections of the book provide an overview of a few representative applications and current state of the art of the research in this area. This makes it a valuable book for graduate, Master, PhD students and also researchers in the field.

Download or read book Conscious Mind Resonant Brain written by Stephen Grossberg and published by Oxford University Press. This book was released on 2021-05-28 with total page 640 pages. Available in PDF, EPUB and Kindle. Book excerpt: How does your mind work? How does your brain give rise to your mind? These are questions that all of us have wondered about at some point in our lives, if only because everything that we know is experienced in our minds. They are also very hard questions to answer. After all, how can a mind understand itself? How can you understand something as complex as the tool that is being used to understand it? This book provides an introductory and self-contained description of some of the exciting answers to these questions that modern theories of mind and brain have recently proposed. Stephen Grossberg is broadly acknowledged to be the most important pioneer and current research leader who has, for the past 50 years, modelled how brains give rise to minds, notably how neural circuits in multiple brain regions interact together to generate psychological functions. This research has led to a unified understanding of how, where, and why our brains can consciously see, hear, feel, and know about the world, and effectively plan and act within it. The work embodies revolutionary Principia of Mind that clarify how autonomous adaptive intelligence is achieved. It provides mechanistic explanations of multiple mental disorders, including symptoms of Alzheimer's disease, autism, amnesia, and sleep disorders; biological bases of morality and religion, including why our brains are biased towards the good so that values are not purely relative; perplexing aspects of the human condition, including why many decisions are irrational and self-defeating despite evolution's selection of adaptive behaviors; and solutions to large-scale problems in machine learning, technology, and Artificial Intelligence that provide a blueprint for autonomously intelligent algorithms and robots. Because brains embody a universal developmental code, unifying insights also emerge about shared laws that are found in all living cellular tissues, from the most primitive to the most advanced, notably how the laws governing networks of interacting cells support developmental and learning processes in all species. The fundamental brain design principles of complementarity, uncertainty, and resonance that Grossberg has discovered also reflect laws of the physical world with which our brains ceaselessly interact, and which enable our brains to incrementally learn to understand those laws, thereby enabling humans to understand the world scientifically. Accessibly written, and lavishly illustrated, Conscious Mind/Resonant Brain is the magnum opus of one of the most influential scientists of the past 50 years, and will appeal to a broad readership across the sciences and humanities.

Download or read book Cognitive Functioning in Schizophrenia Leveraging the RDoC Framework written by Deanna M. Barch and published by Springer Nature. This book was released on 2023-02-17 with total page 505 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights recent research investigating psychological and neural mechanisms contributing to dysfunctional cognition in people with schizophrenia. The work on cognition in schizophrenia from the past 20 years is highlighted, and emphasis throughout the book is placed on utilizing the Research Domain Criterion framework. Thus, the book also covers animals work relevant to schizophrenia that assesses behaviors utilizing the same framework, enabling mechanistic studies and highlighting potential biomarkers of function. The book also includes important areas of research in the field of cognitive function in schizophrenia that have received less attention, such as cognitive side-effects of current treatments and olfactory-based cognition. Altogether, the book provides a translational perspective of the most-up-to-date research on cognition in schizophrenia to-date, but with identification of novel directions for research initiatives..

Download or read book Computational Neuroscience Theoretical Insights into Brain Function written by Paul Cisek and published by Elsevier. This book was released on 2007-11-14 with total page 571 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational neuroscience is a relatively new but rapidly expanding area of research which is becoming increasingly influential in shaping the way scientists think about the brain. Computational approaches have been applied at all levels of analysis, from detailed models of single-channel function, transmembrane currents, single-cell electrical activity, and neural signaling to broad theories of sensory perception, memory, and cognition. This book provides a snapshot of this exciting new field by bringing together chapters on a diversity of topics from some of its most important contributors. This includes chapters on neural coding in single cells, in small networks, and across the entire cerebral cortex, visual processing from the retina to object recognition, neural processing of auditory, vestibular, and electromagnetic stimuli, pattern generation, voluntary movement and posture, motor learning, decision-making and cognition, and algorithms for pattern recognition. Each chapter provides a bridge between a body of data on neural function and a mathematical approach used to interpret and explain that data. These contributions demonstrate how computational approaches have become an essential tool which is integral in many aspects of brain science, from the interpretation of data to the design of new experiments, and to the growth of our understanding of neural function.• Includes contributions by some of the most influential people in the field of computational neuroscience• Demonstrates how computational approaches are being used today to interpret experimental data• Covers a wide range of topics from single neurons, to neural systems, to abstract models of learning

Download or read book Computer Vision ECCV 2008 written by David Forsyth and published by Springer Science & Business Media. This book was released on 2008-10-07 with total page 911 pages. Available in PDF, EPUB and Kindle. Book excerpt: The four-volume set comprising LNCS volumes 5302/5303/5304/5305 constitutes the refereed proceedings of the 10th European Conference on Computer Vision, ECCV 2008, held in Marseille, France, in October 2008. The 243 revised papers presented were carefully reviewed and selected from a total of 871 papers submitted. The four books cover the entire range of current issues in computer vision. The papers are organized in topical sections on recognition, stereo, people and face recognition, object tracking, matching, learning and features, MRFs, segmentation, computational photography and active reconstruction.

Download or read book How Humans Recognize Objects Segmentation Categorization and Individual Identification written by Chris Fields and published by Frontiers Media SA. This book was released on 2016-08-18 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human beings experience a world of objects: bounded entities that occupy space and persist through time. Our actions are directed toward objects, and our language describes objects. We categorize objects into kinds that have different typical properties and behaviors. We regard some kinds of objects – each other, for example – as animate agents capable of independent experience and action, while we regard other kinds of objects as inert. We re-identify objects, immediately and without conscious deliberation, after days or even years of non-observation, and often following changes in the features, locations, or contexts of the objects being re-identified. Comparative, developmental and adult observations using a variety of approaches and methods have yielded a detailed understanding of object detection and recognition by the visual system and an advancing understanding of haptic and auditory information processing. Many fundamental questions, however, remain unanswered. What, for example, physically constitutes an “object”? How do specific, classically-characterizable object boundaries emerge from the physical dynamics described by quantum theory, and can this emergence process be described independently of any assumptions regarding the perceptual capabilities of observers? How are visual motion and feature information combined to create object information? How are the object trajectories that indicate persistence to human observers implemented, and how are these trajectory representations bound to feature representations? How, for example, are point-light walkers recognized as single objects? How are conflicts between trajectory-driven and feature-driven identifications of objects resolved, for example in multiple-object tracking situations? Are there separate “what” and “where” processing streams for haptic and auditory perception? Are there haptic and/or auditory equivalents of the visual object file? Are there equivalents of the visual object token? How are object-identification conflicts between different perceptual systems resolved? Is the common assumption that “persistent object” is a fundamental innate category justified? How does the ability to identify and categorize objects relate to the ability to name and describe them using language? How are features that an individual object had in the past but does not have currently represented? How are categorical constraints on how objects move or act represented, and how do such constraints influence categorization and the re-identification of individuals? How do human beings re-identify objects, including each other, as persistent individuals across changes in location, context and features, even after gaps in observation lasting months or years? How do human capabilities for object categorization and re-identification over time relate to those of other species, and how do human infants develop these capabilities? What can modeling approaches such as cognitive robotics tell us about the answers to these questions? Primary research reports, reviews, and hypothesis and theory papers addressing questions relevant to the understanding of perceptual object segmentation, categorization and individual identification at any scale and from any experimental or modeling perspective are solicited for this Research Topic. Papers that review particular sets of issues from multiple disciplinary perspectives or that advance integrative hypotheses or models that take data from multiple experimental approaches into account are especially encouraged.