Download or read book View invariant Object Category Learning Recognition and Search How Spatial and Object Attention are Coordinated Using Surface based Attentional Shrouds written by Arash Fazl and published by . This book was released on 2007 with total page 115 pages. Available in PDF, EPUB and Kindle. Book excerpt: How does the brain learn to recognize an object from multiple viewpoints while scanning a scene with eye movements? How does the brain avoid the problem of erroneously classifying parts of different objects together? How are attention and eye movements intelligently coordinated to facilitate object learning? A neural model provides a unified mechanistic explanation of how spatial and object attention work together to search a scene and learn what is in it. The ARTSCAN model predicts that an object's surface representation generates a form-fitting distribution of spatial attention, or "attentional shroud." All surface representations dynamically compete for spatial attention to form a shroud. The winning shroud persists during active scanning of the object. The shroud maintains sustained activity of an emerging view-invariant category representation while multiple view-specific category representations are learned, and are linked through associative learning to the view-invariant object category. The shroud also helps to restrict scanning eye movements to salient features on the attended object. Object attention plays a role in controlling and stabilizing the learning of view-specific object categories. Spatial attention hereby coordinates the deployment of object attention during object category learning. Shroud collapse releases a reset signal that inhibits the active view-invariant category in the What cortical processing stream. Then a new shroud, corresponding to a different object, forms in the Where cortical processing stream, and search using attention shifts and eye movements continues to learn new objects throughout a scene. The model mechanistically clarifies basic properties of attention shifts (engage, move, disengage) and inhibition of return. It simulates human reaction time data about object-based spatial attention shifts, and learns with 98.1% accuracy and a compression of 430 on a letter database whose letters vary in size, position, and orientation.
Download or read book Neural Dynamics of Object based Multifocal Visual Spatial Attention and Priming written by Nicholas C. Foley and published by . This book was released on 2011 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: How are spatial and object attention coordinated to achieve rapid object learning and recognition during eye movement search? How do prefrontal priming and parietal spatial mechanisms interact to determine the reaction time costs of intra-object attention shifts, inter-object attention shifts, and shifts between visible objects and covertly cued locations? What factors underlie individual differences in the timing and frequency of such attentional shifts? How do transient and sustained spatial attentional mechanisms work and interact? How can volition, mediated via the basal ganglia, influence the span of spatial attention? A neural model is developed of how spatial attention in the "where" cortical stream coordinates view-invariant object category learning in the "what" cortical stream under free viewing conditions. The model simulates psychological data about the dynamics of covert attention priming and switching requiring multifocal attention without eye movements. The model predicts how "attentional shrouds" are formed when surface representations in cortical area V4 resonate with spatial attention in posterior parietal cortex (PPC) and prefrontal cortex (PFC), while shrouds compete among themselves for dominance. Winning shrouds support invariant object category learning, and active surface-shroud resonances support conscious surface perception and recognition. Attentive competition between multiple objects and cues simulates reaction-time data from the two-object cueing paradigm. The relative strength of sustained surface-driven and fast-transient motion-driven spatial attention controls individual differences in reaction time for invalid cues. Competition between surface-driven attentional shrouds controls individual differences in detection rate of peripheral targets in useful-field-of-view tasks. The model proposes how the strength of competition can be mediated, though learning or momentary changes in volition, by the basal ganglia. A new explanation of crowding shows how the cortical magnification factor, among other variables, can cause multiple object surfaces to share a single surface-shroud resonance, thereby preventing recognition of the individual objects.
Download or read book Advances in Cognitive Neurodynamics V written by Rubin Wang and published by Springer. This book was released on 2016-01-29 with total page 809 pages. Available in PDF, EPUB and Kindle. Book excerpt: This proceedings contains articles submitted to the fifth International Conference on Cognitive Neurodynamics (ICCN2015). In ICCN2015, twelve invited plenary lectures were presented by the leading scientists in their respective research fields. More than 15 mini-symposiums are organized by specialists with topics covering: motor control and learning, dynamic coding in distributed neural circuits, dynamics of firing patterns and synchronization in neuronal systems, information and signal processing techniques in neurotechnology, neural oscillations and synaptic plasticity in the hippocampus, new perspective on model-based vs. model-free brain process, neural mechanisms of internal switching, neuroinformation computation, neural model and dynamics, imaging human cognitive networks, neuroinformatics, neuroergonomics & neuroengineering, dynamic brain for communication, visual information processing and functional imaging and neural mechanisms of language processing. All articles are peer-reviewed. The ICCN is a series conference held every two years since 2007.
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 AI IA 2011 Artificial Intelligence Around Man and Beyond written by Roberto Pirrone and published by Springer. This book was released on 2011-09-15 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 12th International Conference of the Italian Association for Artificial Intelligence, AI*IA 2011, held in Palermo, Italy, in September 2011. The 31 revised full papers presented together with 3 invited talks and 13 posters were carefully reviewed and selected from 58 submissions. The papers are organized in topical sections on machine learning; distributed AI: robotics and MAS; theoretical issues: knowledge representation and reasoning; planning, cognitive modeling; natural language processing; and AI applications.
Download or read book Dynamic Thinking written by Gregor Sch?ner and published by Oxford University Press. This book was released on 2015-11-12 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dynamic Thinking: A Primer on Dynamic Field Theory introduces the reader to a new approach to understanding cognitive and neural dynamics using the concepts of Dynamic Field Theory (DFT). Dynamic Neural Fields are formalizations of how neural populations represent the continuous dimensions of perceptual features, movements, and cognitive decisions. The concepts of DFT establish links between brain and behavior, revealing ways in which models of brain function can be tested with both neural and behavioral measures. Thus, DFT bridges the gap between brain and behavior, between neuroscience and the behavioral sciences. The book provides systematic tutorials on the central concepts of DFT and their grounding in both dynamical systems theory and neurophysiology. The concrete mathematical implementation of these concepts is laid out, supported by hands-on exercises that make use of interactive simulators in MATLAB. The book also contains a large set of exemplary case studies in which the concepts and associated models are used to understand how elementary forms of embodied cognition emerge and develop.
Download or read book From Parallel to Emergent Computing written by Andrew Adamatzky and published by CRC Press. This book was released on 2019-03-13 with total page 631 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern computing relies on future and emergent technologies which have been conceived via interaction between computer science, engineering, chemistry, physics and biology. This highly interdisciplinary book presents advances in the fields of parallel, distributed and emergent information processing and computation. The book represents major breakthroughs in parallel quantum protocols, elastic cloud servers, structural properties of interconnection networks, internet of things, morphogenetic collective systems, swarm intelligence and cellular automata, unconventionality in parallel computation, algorithmic information dynamics, localized DNA computation, graph-based cryptography, slime mold inspired nano-electronics and cytoskeleton computers. Features Truly interdisciplinary, spanning computer science, electronics, mathematics and biology Covers widely popular topics of future and emergent computing technologies, cloud computing, parallel computing, DNA computation, security and network analysis, cryptography, and theoretical computer science Provides unique chapters written by top experts in theoretical and applied computer science, information processing and engineering From Parallel to Emergent Computing provides a visionary statement on how computing will advance in the next 25 years and what new fields of science will be involved in computing engineering. This book is a valuable resource for computer scientists working today, and in years to come.
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 Predictions in the Brain written by Moshe Bar and published by Oxford University Press. This book was released on 2011-05-10 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: When one is immersed in the fascinating world of neuroscience findings, the brain might start to seem like a collection of "modules," each specializes in a specific mental feat. But just like in other domains of Nature, it is possible that much of the brain and mind's operation can be explained with a small set of universal principles. Given exciting recent developments in theory, empirical findings and computational studies, it seems that the generation of predictions might be one strong candidate for such a universal principle. This is the focus of Predictions in the brain. From the predictions required when a rat navigates a maze to food-caching in scrub-jays; from predictions essential in decision-making to social interactions; from predictions in the retina to the prefrontal cortex; and from predictions in early development to foresight in non-humans. The perspectives represented in this collection span a spectrum from the cellular underpinnings to the computational principles underlying future-related mental processes, and from systems neuroscience to cognition and emotion. In spite of this diversity, they share some core elements. Memory, for instance, is critical in any framework that explains predictions. In asking "what is next?" our brains have to refer to memory and experience on the way to simulating our mental future. But as much as this collection offers answers to important questions, it raises and emphasizes outstanding ones. How are experiences coded optimally to afford using them for predictions? How do we construct a new simulation from separate memories? How specific in detail are future-oriented thoughts, and when do they rely on imagery, concepts or language? Therefore, in addition to presenting the state-of-the-art of research and ideas about predictions as a universal principle in mind and brain, it is hoped that this collection will stimulate important new research into the foundations of our mental lives.
Download or read book Unsupervised Learning in Space and Time written by Marius Leordeanu and published by Springer Nature. This book was released on 2020-04-17 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses one of the most important unsolved problems in artificial intelligence: the task of learning, in an unsupervised manner, from massive quantities of spatiotemporal visual data that are available at low cost. The book covers important scientific discoveries and findings, with a focus on the latest advances in the field. Presenting a coherent structure, the book logically connects novel mathematical formulations and efficient computational solutions for a range of unsupervised learning tasks, including visual feature matching, learning and classification, object discovery, and semantic segmentation in video. The final part of the book proposes a general strategy for visual learning over several generations of student-teacher neural networks, along with a unique view on the future of unsupervised learning in real-world contexts. Offering a fresh approach to this difficult problem, several efficient, state-of-the-art unsupervised learning algorithms are reviewed in detail, complete with an analysis of their performance on various tasks, datasets, and experimental setups. By highlighting the interconnections between these methods, many seemingly diverse problems are elegantly brought together in a unified way. Serving as an invaluable guide to the computational tools and algorithms required to tackle the exciting challenges in the field, this book is a must-read for graduate students seeking a greater understanding of unsupervised learning, as well as researchers in computer vision, machine learning, robotics, and related disciplines.
Download or read book Attention written by Narayanan Srinivasan and published by Elsevier. This book was released on 2009-09-03 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: This well-established international series examines major areas of basic and clinical research within neuroscience, as well as emerging and promising subfields. This volume explores interdisciplinary research on Attention and interaction of Attention with other cognitive processes including perception, learning, and memory. The papers cover major research on attention in Cognitive Neuroscience and Cognitive Psychology. The volume presents recent advances on attention including binding, dynamics of attention, attention and perceptual organization, attention and consciousness, emotion and attention, development of attention, crossmodal attention, computational modeling of attention, control of actions, attention and memory, and meditation.
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.
Download or read book The Psychology of Learning and Motivation written by and published by Academic Press. This book was released on 2019-09-12 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Psychology of Learning and Motivation, Volume 71, the latest release in the series, features empirical and theoretical contributions in cognitive and experimental psychology, ranging from classical and instrumental conditioning to complex learning and problem-solving. New to this volume are chapters covering Automating adaptive control with item-specific learning, Cognition and voting: Generalizing from the laboratory to the real-world voting booth, Protracted perceptual development of auditory pattern structure, Understanding alcohol reward in social context, Perceptual and Mnemonic Differences across Cultures, Aging, Cognitive Reserve and the Healthy Brain, Aging, context processing, and comprehension, and more. - Presents the latest information in the highly regarded Psychology of Learning and Motivation series - Provides an essential reference for researchers and academics in cognitive science - Contains information relevant to both applied concerns and basic research
Download or read book The Oxford Handbook of Perceptual Organization written by Johan Wagemans and published by Oxford Library of Psychology. This book was released on 2015 with total page 1121 pages. Available in PDF, EPUB and Kindle. Book excerpt: Perceptual organization comprises a wide range of processes such as perceptual grouping, figure-ground organization, filling-in, completion and perceptual switching. 'Oxford Handbook of Perceptual Organization' provides a broad and extensive review of the current literature, written in an accessible form for scholars and students.
Download or read book The Basal Ganglia written by Jean-Jacques Soghomonian and published by Springer. This book was released on 2016-11-04 with total page 587 pages. Available in PDF, EPUB and Kindle. Book excerpt: This groundbreaking text takes current knowledge of the basal ganglia far from well-known motor-based models to a more inclusive understanding of deep-brain structure and function. Synthesizing diverse perspectives from across the brain-behavioral sciences, it tours the neuroanatomy and circuitry of the basal ganglia, linking their organization to their controlling functions in core cognitive, behavioral, and motor areas, both normative and disordered. Interactions between the basal ganglia and major structures of the brain are identified in their contributions to a diverse range of processes, from language processing to decision-making, emotion to visual perception, motivation to intent. And the basal ganglia are intimately involved in the mechanisms of dysfunction, as evinced by chapters on dyskinesia, Parkinson’s disease, neuropsychiatric conditions, and addictions. Included in the coverage: Limbic-basal ganglia circuits: parallel and integrative aspects. Dopamine and its actions in the basal ganglia system. Cerebellar-basal ganglia interactions. The basal ganglia contribution to controlled and automatic processing. The basal ganglia and decision making in neuropsychiatric disorders. The circuitry underlying the reinstatement of cocaine seeking: modulation by deep brain stimulation. The basal ganglia and hierarchical control in voluntary behavior. Its breadth and depth of scholarship and data should make The Basal Ganglia a work of great interest to cognitive psychologists and neuroscientists, neuropsychologists, neurologists, neuropsychiatrists, and speech-language pathologists.
Download or read book Integrating Visual System Mechanisms Computational Models and Algorithms Technologies written by Hedva Spitzer and published by Frontiers Media SA. This book was released on 2020-05-26 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Mobile Brain Body Imaging and the Neuroscience of Art Innovation and Creativity written by Jose L. Contreras-Vidal and published by Springer Nature. This book was released on 2019-11-15 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mobile Brain–Body Imaging and the Neuroscience of Art, Innovation and Creativity is a trans-disciplinary, collective, multimedia collaboration that critically uncovers the challenges and opportunities for transformational and innovative research and performance at the nexus of art, science and engineering. This book addresses a set of universal and timeless questions with a profound impact on the human condition: How do the creative arts and aesthetic experiences engage the brain and mind and promote innovation? How do arts–science collaborations employ aesthetics as a means of problem-solving and thereby create meaning? How can the creative arts and neuroscience advance understanding of individuality and social cognition, improve health and promote life-long learning? How are neurotechnologies changing science and artistic expression? How are the arts and citizen science innovating neuroscience studies, informal learning and outreach in the public sphere? Emerging from the 2016 and 2017 International Conferences on Mobile Brain–Body Imaging and the Neuroscience of Art, Innovation and Creativity held in Cancun, Mexico and Valencia, Spain to explore these topics, this book intertwines disciplines and investigates not only their individual products—art and data—but also something more substantive and unique; the international pool of contributors reveals something larger about humanity by revealing the state of the art in collaboration between arts and sciences and providing an investigational roadmap projected from recent advances. Mobile Brain–Body Imaging and the Neuroscience of Art, Innovation and Creativity is written for academic researchers, professionals working in industrial and clinical centers, independent researchers and artists from the performing arts, and other readers interested in understanding emergent innovations at the nexus of art, science, engineering, medicine and the humanities. The book contains language, design features (illustrations, diagrams) to develop a conversational bridge between the disciplines involved supplemented by access to video, artistic presentations and the results of a hackathon from the MoBI conferences.
