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Author | : Judith C. Peters |
Publisher | : Frontiers Media SA |
Total Pages | : 139 |
Release | : 2016-06-29 |
Genre | : Neurosciences. Biological psychiatry. Neuropsychiatry |
ISBN | : 2889198731 |
Download Integrating Computational and Neural Findings in Visual Object Perception Book in PDF, ePub and Kindle
The articles in this Research Topic provide a state-of-the-art overview of the current progress in integrating computational and empirical research on visual object recognition. Developments in this exciting multidisciplinary field have recently gained momentum: High performance computing enabled breakthroughs in computer vision and computational neuroscience. In parallel, innovative machine learning applications have recently become available for datamining the large-scale, high resolution brain data acquired with (ultra-high field) fMRI and dense multi-unit recordings. Finally, new techniques to integrate such rich simulated and empirical datasets for direct model testing could aid the development of a comprehensive brain model. We hope that this Research Topic contributes to these encouraging advances and inspires future research avenues in computational and empirical neuroscience.
Author | : |
Publisher | : |
Total Pages | : 0 |
Release | : 2016 |
Genre | : |
ISBN | : |
Download Integrating Computational and Neural Findings in Visual Object Perception Book in PDF, ePub and Kindle
The articles in this Research Topic provide a state-of-the-art overview of the current progress in integrating computational and empirical research on visual object recognition. Developments in this exciting multidisciplinary field have recently gained momentum: High performance computing enabled breakthroughs in computer vision and computational neuroscience. In parallel, innovative machine learning applications have recently become available for datamining the large-scale, high resolution brain data acquired with (ultra-high field) fMRI and dense multi-unit recordings. Finally, new techniques to integrate such rich simulated and empirical datasets for direct model testing could aid the development of a comprehensive brain model. We hope that this Research Topic contributes to these encouraging advances and inspires future research avenues in computational and empirical neuroscience.
Author | : Susana Martinez-Conde |
Publisher | : Elsevier |
Total Pages | : 341 |
Release | : 2006-10-06 |
Genre | : Psychology |
ISBN | : 0080466095 |
Download Visual Perception Part 2 Book in PDF, ePub and Kindle
This book presents a collection of articles reflecting state-of-the-art research in visual perception, specifically concentrating on neural correlates of perception. Each section addresses one of the main topics in vision research today. Part 2: Fundamentals of Awareness, Multi-Sensory Integration and High-Order Perception covers topics from filling-in to visual awareness to crossmodal interactions. A variety of methodological approaches are represented, including single-neuron recordings, fMRI and optical imaging, psychophysics, eye movement characterization and computational modelling. The contributions will provide the reader with a valuable perspective on the current status of vision research, and more importantly, with critical insight into future research directions and the discoveries yet to come. · Provides a detailed breakdown of the neural and psychophysical bases of Perception · Presents never-before-published original discoveries · Includes multiple full-color illustrations
Author | : Hedva Spitzer |
Publisher | : Frontiers Media SA |
Total Pages | : 233 |
Release | : 2020-05-26 |
Genre | : |
ISBN | : 2889635104 |
Download Integrating Visual System Mechanisms, Computational Models and Algorithms/Technologies Book in PDF, ePub and Kindle
Author | : Glyn W. Humphreys |
Publisher | : Psychology Press |
Total Pages | : 360 |
Release | : 2021-12-24 |
Genre | : Psychology |
ISBN | : 1317716620 |
Download Visual Cognition Book in PDF, ePub and Kindle
Vision allows us to do many things. It enables us to perceive a world composed of meaningful objects and events. It enables us to track those events as they take place in front of our eyes. It enables us to read. It provides accurate spatial information for actions such as reaching for or avoiding objects. It provides colour and texture that can help us to separate objects from their background, and so forth. This book is concerned with understanding the processes that allow us to carry out these various visually driven behaviours. In the past ten years our understanding of visual processing has undergone a rapid change, primarily fostered by the convergence of computational, experimental and neuropsychological work on the topic. Visual Cognition provides the first major attempt to cover all aspects of this work within a single text. It provides a summary of research on visual information processing, relevant to advanced undergraduates, postgraduates and research workers. It covers: seeing static forms, object recognition, dynamic vision (motion perception and visual masking), visual attention, visual memory, visual aspects of reading. For each topic, the relevant computational, experimental and neuropsychological work is integrated to provide a broader coverage than that of other texts.
Author | : Wenfeng Wang |
Publisher | : Springer |
Total Pages | : 166 |
Release | : 2019-02-14 |
Genre | : Technology & Engineering |
ISBN | : 9811335494 |
Download Brain-Inspired Intelligence and Visual Perception Book in PDF, ePub and Kindle
This book presents the latest findings in the field of brain-inspired intelligence and visual perception (BIVP), and discusses novel research assumptions, including an introduction to brain science and the brain vision hypotheses. Moreover, it introduces readers to the theory and algorithms of BIVP – such as pheromone accumulation and iteration, neural cognitive computing mechanisms, the integration and scheduling of core modules, and brain-inspired perception, motion and control – in a step-by-step manner. Accordingly, it will appeal to university researchers, R&D engineers, undergraduate and graduate students; to anyone interested in robots, brain cognition or computer vision; and to all those wishing to learn about the core theory, principles, methods, algorithms, and applications of BIVP.
Author | : Philipp Wolfrum |
Publisher | : Springer Science & Business Media |
Total Pages | : 147 |
Release | : 2010-09-08 |
Genre | : Technology & Engineering |
ISBN | : 3642152538 |
Download Information Routing, Correspondence Finding, and Object Recognition in the Brain Book in PDF, ePub and Kindle
At?rstsight,thisbookisaboutfacerecognitioninthebrain.Itsmorelasting value, however,lies in the paradigmatic way in which this particular problem is treated. From the basic ideas that are worked out here in concrete detail, it is a naturaland simple next step to at leastimagine, if not realizein model form, much more generalstructures and processes,thus helping to bridge the still tremendous chasm between mind and brain. It is the purpose of this foreword to point out these generic traits. For centuries, thinking about the brain has been dominated by the most complexmechanisticdevicesofthetime,clockwork,communicatinghydraulic tubesor,today,thecomputer.Thecomputer,takenasincarnationoftheU- versal Turing Machine, can implement any conceivable process, so that also a functional brain can surely be simulated on it, an idea that, beginning in the ?fties of the last century, has been seducing scientists to create “art- cial intelligence” in the computer. As a result we now have an information technology that displays many functional capabilities formerly regarded as the exclusive domain of the mind. As fascinating as this is, doting on “int- ligent machines” is systematically diverting our attention awayfrom the true problems of understanding the working of the brain.
Author | : Antonio Rodríguez-Sánchez |
Publisher | : Frontiers Media SA |
Total Pages | : 292 |
Release | : 2016-06-08 |
Genre | : Neurosciences. Biological psychiatry. Neuropsychiatry |
ISBN | : 2889197980 |
Download Hierarchical Object Representations in the Visual Cortex and Computer Vision Book in PDF, ePub and Kindle
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.
Author | : Tyler Bonnen |
Publisher | : |
Total Pages | : 0 |
Release | : 2023 |
Genre | : |
ISBN | : |
Download Situating Neural Function Within a Biologically Plausible Optimization Framework Book in PDF, ePub and Kindle
There is a promise at the heart of neuroscientific research: understanding the brain will provide insights that improve health and well being. To fulfill this promise, our theories of neural function must be able to operate `at scale'--i.e., generalize to naturalistic environments. However, even in well-controlled experimental settings, neuroscientific theories often fail to replicate, much less generalize. Recent advances in computer science have created computational frameworks which can operate at scale and necessarily generalize across experiments. But leveraging these methods to understand neural function beyond canonical visual cortex has had limited success. In this dissertation I demonstrate how these methods can be used to formalize and evaluate theories of neural function downstream of canonical sensory cortex. First, I review the historical challenges in understanding perirhinal cortex (PRC), including a longstanding debate over PRC involvement in perception (chapter 1). To formalize and evaluate PRC involvement in visual object perception, I situate lesion, electrophysiological, and behavioural data within a deep learning computational framework. This work resolves decades of apparent inconsistencies in the experimental literature by integrating results from human (chapter 2) and monkey (chapter 3) experimental data within a `stimulus-computable' modeling framework. I extend this work to better isolate and characterize PRC contributions to visual object perception (chapter 4). Finally, I synthesize neuroscientific findings from multiple species to provide an account of PRC involvement in visual perception (chapter 5). Taken together, these data suggest that PRC supports visual object perception by integrating over the sequential outputs of canonical visual cortices. I conclude by describing how, to further understand how PRC supports these behaviors, this neuroscientific data can be situated within a biologically plausible optimization framework: we are well-positioned to understand perirhinal function using optimization approaches from computer science, constrained to reflect what we know about the underlying biology. This approach promises not only to formalize the relationship between experimental variables and PRC function, but to instantiate our theories of neural function in a way that is designed to operate at scale.
Author | : Barbara Dosher |
Publisher | : MIT Press |
Total Pages | : 521 |
Release | : 2020-10-13 |
Genre | : Psychology |
ISBN | : 0262360659 |
Download Perceptual Learning Book in PDF, ePub and Kindle
A comprehensive and integrated introduction to the phenomena and theories of perceptual learning, focusing on the visual domain. Practice or training in perceptual tasks improves the quality of perceptual performance, often by a substantial amount. This improvement is called perceptual learning (in contrast to learning in the cognitive or motor domains), and it has become an active area of research of both theoretical and practical significance. This book offers a comprehensive introduction to the phenomena and theories of perceptual learning, focusing on the visual domain.