Sequence Learning Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Sequence Learning book. This book definitely worth reading, it is an incredibly well-written.
Sequential behavior is essential to intelligence in general and a fundamental part of human activities, ranging from reasoning to language, and from everyday skills to complex problem solving. Sequence learning is an important component of learning in many tasks and application fields: planning, reasoning, robotics natural language processing, speech recognition, adaptive control, time series prediction, financial engineering, DNA sequencing, and so on. This book presents coherently integrated chapters by leading authorities and assesses the state of the art in sequence learning by introducing essential models and algorithms and by examining a variety of applications. The book offers topical sections on sequence clustering and learning with Markov models, sequence prediction and recognition with neural networks, sequence discovery with symbolic methods, sequential decision making, biologically inspired sequence learning models.
Attention and Implicit Learning by Luis Jiménez Pdf
Attention and Implicit Learning provides a comprehensive overview of the research conducted in this area. The book is conceived as a multidisciplinary forum of discussion on the question of whether implicit learning may be depicted as a process that runs independently of attention. The volume also deals with the complementary question of whether implicit learning affects the dynamics of attention, and it addresses these questions from perspectives that range from functional to neuroscientific and computational approaches. The view of implicit learning that arises from these pages is not that of a mysterious faculty, but rather that of an elementary ability of the cognitive systems to extract the structure of their environment as it appears directly through experience, and regardless of any intention to do so. Implicit learning, thus, is taken to be a process that may shape not only our behavior, but also our representations of the world, our attentional functions, and even our conscious experience. (Series B)
Online and Offline Modulators of Motor Learning by Shahabeddin Vahdat,Ovidiu Lungu,Bradley King,Geneviève Albouy,Julien Doyon Pdf
Both the acquisition of new and the modification of previously acquired motor skills are necessary to achieve optimal levels of motor performance in everyday functioning as well as to attain expert performance levels that are evident in sports and arts. A multitude of factors have been shown to influence the various stages of the learning process, from the acquisition (i.e., motor memory encoding) to the consolidation and subsequent retention of a skill. These factors, or modulators, can affect learning through online processes taking place during practice of a new motor skill or through offline processes occurring in the absence of task performance (i.e., after training sessions). Although much of the recent research from various disciplines has placed an increased emphasis on identifying factors that can influence the motor learning process, we lack an integrated understanding of online and offline determinants of motor skill behaviours. Potential motor learning modulators include, but are certainly not limited to, stress, anxiety, attention, executive functioning, social interaction, stimulus-response mapping, training schedule/regimen, learning environment, vigilance/consciousness states including sleep, wakefulness or meditation, brain stimulation, interference as well as resting state brain connectivity. Pathological and non-pathological (i.e., development or aging) changes in the brain can also be conceptualized as potential modulators. The aim of this Research Topic is to bridge research from the cognitive, sensory, motor and psychological domains using various behavioural paradigms and neuroimaging techniques in order to provide a comprehensive view of the online and offline modulators of motor learning, and how they interact to influence motor performance. Critically, the overarching goal is to gain a better understanding of how motor behaviour can be optimized. We believe that merging research from diverse neuroscientific communities would contribute to fulfilling this goal and potentially highlight possible shared neurophysiological mechanisms influencing motor learning.
Deep Learning and its Applications using Python by Niha Kamal Basha,Surbhi Bhatia Khan,Abhishek Kumar,Arwa Mashat Pdf
This book thoroughly explains deep learning models and how to use Python programming to implement them in applications such as NLP, face detection, face recognition, face analysis, and virtual assistance (chatbot, machine translation, etc.). It provides hands-on guidance in using Python for implementing deep learning application models. It also identifies future research directions for deep learning.
Encyclopedia of Language Development by Patricia J. Brooks,Vera Kempe Pdf
The progression from newborn to sophisticated language user in just a few short years is often described as wonderful and miraculous. What are the biological, cognitive, and social underpinnings of this miracle? What major language development milestones occur in infancy? What methodologies do researchers employ in studying this progression? Why do some become adept at multiple languages while others face a lifelong struggle with just one? What accounts for declines in language proficiency, and how might such declines be moderated? Despite an abundance of textbooks, specialized monographs, and a couple of academic handbooks, there has been no encyclopedic reference work in this area--until now. The Encyclopedia of Language Development covers the breadth of theory and research on language development from birth through adulthood, as well as their practical application. Features: This affordable A-to-Z reference includes 200 articles that address such topic areas as theories and research tradition; biological perspectives; cognitive perspectives; family, peer, and social influences; bilingualism; special populations and disorders; and more. All articles (signed and authored by key figures in the field) conclude with cross reference links and suggestions for further reading. Appendices include a Resource Guide with annotated lists of classic books and articles, journals, associations, and web sites; a Glossary of specialized terms; and a Chronology offering an overview and history of the field. A thematic Reader’s Guide groups related articles by broad topic areas as one handy search feature on the e-Reference platform, which includes a comprehensive index of search terms. Available in both print and electronic formats, Encyclopedia of Language Development is a must-have reference for researchers and is ideal for library reference or circulating collections.
Proceedings of the Twentieth Annual Conference of the Cognitive Science Society by Morton Ann Gernsbacher,Sharon J. Derry Pdf
This volume features the complete text of the material presented at the Twentieth Annual Conference of the Cognitive Science Society. As in previous years, the symposium included an interesting mixture of papers on many topics from researchers with diverse backgrounds and different goals, presenting a multifaceted view of cognitive science. This volume contains papers, posters, and summaries of symposia presented at the leading conference that brings cognitive scientists together to discuss issues of theoretical and applied concern. Submitted presentations are represented in these proceedings as "long papers" (those presented as spoken presentations and "full posters" at the conference) and "short papers" (those presented as "abstract posters" by members of the Cognitive Science Society).
Implicit Learning by Axel Cleeremans,Viktor Allakhverdov,Maria Kuvaldina Pdf
Can we learn without knowing we are learning? To what extent is our behavior influenced by things we fail to perceive? What is the relationship between conscious and unconscious cognition? Implicit Learning: 50 Years On tackles these key questions, fifty years after the publication of Arthur Reber’s seminal text. Providing an overview of recent developments in the field, the volume considers questions about the computational foundations of learning, alongside phenomena including conditioning, memory formation and consolidation, associative learning, cognitive development, and language learning. Featuring contributions from international researchers, the book uniquely integrates ‘Western’ thinking on implicit learning with insights from a rich Russian research tradition. This approach offers an excellent opportunity to contrast perspectives, to introduce new experimental paradigms, and to contribute to ongoing debates about the very nature of implicit learning. Implicit Learning: 50 Years On is essential reading for students and researchers of consciousness, specifically those interested in implicit learning.
Advances in Neural Networks by Fuchun Sun,Jianwei Zhang,Jinde Cao,Wen Yu Pdf
(Bayreuth University, Germany), Jennie Si (Arizona State University, USA), and Hang Li (MicrosoftResearchAsia, China). Besides the regularsessions andpanels, ISNN 2008 also featured four special sessions focusing on some emerging topics.
Human Learning: Biology, Brain, and Neuroscience by Aaron S. Benjamin,J. Steven de Belle,Bruce Etnyre,Thad A. Polk Pdf
Human learning is studied in a variety of ways. Motor learning is often studied separately from verbal learning. Studies may delve into anatomy vs function, may view behavioral outcomes or look discretely at the molecular and cellular level of learning. All have merit but they are dispersed across a wide literature and rarely are the findings integrated and synthesized in a meaningful way. Human Learning: Biology, Brain, and Neuroscience synthesizes findings across these levels and types of learning and memory investigation. Divided into three sections, each section includes a discussion by the editors integrating themes and ideas that emerge across the chapters within each section. Section 1 discusses general topics in human learning and cognition research, including inhibition, short term and long term memory, verbal memory, memory disruption, and scheduling and learning. Section 2 discusses cognitive neuroscience aspects of human learning. Coverage here includes models, skill acquisition, declarative and non declarative memory, age effects on memory, and memory for emotional events. Section 3 focuses on human motor learning. This book is suitable for cognitive neuroscientists, cognitive psychologists, kinesthesiologists, and graduate courses in learning. * Synthesizes research from a variety of disciplines, levels, and content areas * Provides section discussions on common findings between chapters * Covers motor and verbal learning
Theoretical and Computational Models of Word Learning: Trends in Psychology and Artificial Intelligence by Gogate, Lakshmi Pdf
The process of learning words and languages may seem like an instinctual trait, inherent to nearly all humans from a young age. However, a vast range of complex research and information exists in detailing the complexities of the process of word learning. Theoretical and Computational Models of Word Learning: Trends in Psychology and Artificial Intelligence strives to combine cross-disciplinary research into one comprehensive volume to help readers gain a fuller understanding of the developmental processes and influences that makeup the progression of word learning. Blending together developmental psychology and artificial intelligence, this publication is intended for researchers, practitioners, and educators who are interested in language learning and its development as well as computational models formed from these specific areas of research.
Proceedings of the Twenty-Third Annual Conference of the Cognitive Science Society by Johanna D. Moore,Keith Stenning Pdf
Vol. includes all papers and posters presented at 2001 Cog Sci Mtg & summaries of symposia & invited addresses. Deals w/ issues of repres & model'g cog processes. Appeals to scholars in subdisciplines that comprise Cog Sci: Psych, Computr Sci, Neuro, Lin
The Cerebellum provides a concise, accessible overview of modern data on physiology and function of the cerebellum as it relates to learning, plasticity, and neurodegenerative diseases. Encompassing anatomy and physiology, theoretical work, cellular mechanisms, clinical research, and disorders, the book covers learning and plasticity while introducing the anatomy of the cerebellum. Known and proposed "functions of the cerebellum" are addressed on clinical, physiological, cellular, and computational levels, providing academics, researchers, medical students, and graduate students with an invaluable reference.