Download or read book Motivation Effort and the Neural Network Model written by Theodore Wasserman and published by Springer Nature. This book was released on 2020-10-27 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: Our understanding of how the human brain operates and completes its essential tasks continues is fundamentally altered from what it was ten years ago. We have moved from an understanding based on the modularity of key structural components and their specialized functions to an almost diametrically opposed, highly integrated neural network model, based on a vertically organized brain dependent on small world hub principles. This new understanding completely changes how we understand essential psychological constructs such as motivation. Network modeling posits that motivation is a construct that describes a modified aspect of the operation of the human learning system that is specifically designed to cause a person to pursue a goal. Anthropologically and developmentally, these goals were initially basic, including things like food, shelter and reproduction. Over the course of time and development they develop into a complex web of extrinsic and then intrinsic goals, objectives and values. The core for all of this development is the inborn flight or fight reaction has been modified over time by a combination of inborn human temperamental characteristics and life experiences. This process of modification is, in part, based on the operation of a network based error-prediction network working in concert with the reward network to produce a system of ever evolving valuations of goals and objectives. These valuations are never truly fixed. They are constantly evolving, being modified and shaped by experience. The error prediction network and learning related networks work in concert with the limbic system to allow affect laden experiences to inform the process of valuation. These networks, operating in concert, produce a cognitive process we call motivation. Like most networks, the motivation system of networks is recruited when the task demands of the situation require them. Understanding motivation from this perspective has profound implications for many scientific disciplines in general and psychology in specific. Psychologically, this new understanding will alter how we understand client behavior in therapy and when being evaluated. This new understanding will provide direction for new therapeutic intervention for a variety of disorders of mental health. It will also inform testing practices concerning the evaluation of effort and malingering. This book is not a project in reductionism. It is the polar opposite. A neural network understanding of the operation of the human brain allows for the integration of what has come before into a comprehensive and integrated model. It will likely provide the basis for future research for years to come.

Download or read book Apraxia The Neural Network Model written by Theodore Wasserman and published by Springer Nature. This book was released on 2023-01-26 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: The work will be a reanalysis and reconceptualization of the concept of apraxia. Apraxia is currently understood as a motor speech disorder but an analysis of the neural network properties of apraxia indicate a more complex and far reaching disorder with implications for intentionality, motor coordination and motor control of response inhibition in a variety of human behavioral and emotional reactions. A thorough redefinition of apraxia will be provided along with suggestions for diagnoses and treatment. The primary audience will be diagnostic and treating professionals in a variety of disciplines (outlined above). Secondarily, the book will provide an argument and justification for considering developmental apraxia pf speech to be a separate and discrete white matter based disorder. Finally, this work will serve as a driver of future research in the area.

Download or read book Motivation Emotion and Goal Direction in Neural Networks written by Daniel S. Levine and published by Psychology Press. This book was released on 2014-01-14 with total page 546 pages. Available in PDF, EPUB and Kindle. Book excerpt: The articles gathered in this volume represent examples of a unique approach to the study of mental phenomena: a blend of theory and experiment, informed not just by easily measurable laboratory data but also by human introspection. Subjects such as approach and avoidance, desire and fear, and novelty and habit are studied as natural events that may not exactly correspond to, but at least correlate with, some (known or unknown) electrical and chemical events in the brain.

Download or read book Telecommunications and Remote Sensing written by Boris Shishkov and published by Springer Nature. This book was released on 2022-12-20 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the proceedings of ICTRS 2022 (the 11th International Conference on Telecommunications and Remote Sensing), held in Sofia, Bulgaria, on 21-22 November 2022. ICTRS is an annual event that brings together researchers and practitioners interested in telecommunications, remote sensing, and their societal implications. As mentioned already, ICTRS is essentially leaning toward telecommunications and remote sensing plus relevant societal implications. In this, ICTRS 2022 addresses a large number of research areas and topics, such as: Wireless Telecommunications and Networking; Electromagnetic Waves and Fields; Electronics and Photonics; Remote Sensing and Data Interpretation; Remote Sensing and Internet-Of-Things; and Societal Impact.

Download or read book From Theory of Knowledge Management to Practice written by Fausto Pedro García Márquez and published by BoD – Books on Demand. This book was released on 2024-01-31 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: From Theory of Knowledge Management to Practice is a collaborative compilation featuring contributions from various authors. The book amalgamates analytical principles with the practical aspects of knowledge management in the business realm. Its unique contribution lies in bridging the gap between engineering/technology disciplines and the organizational, administrative, and planning dimensions of knowledge management. This integration is particularly valuable when viewed in conjunction with other sub-disciplines like economics, finance, marketing, and decision and risk analysis, among others. The book not only introduces but also illustrates knowledge management theories through practical case studies. These case studies showcase significant outcomes across different sectors, drawing on diverse real-world scenarios. The theoretical framework is accompanied by relevant analytical techniques, adopting a progressive approach that transitions from basic concepts to intricate and dynamic decision-making processes involving multiple data points, including big data and extensive datasets. The integration of computational techniques, dynamic analysis, probabilistic methods, and mathematical optimization further enhances the book's utility, offering expert support for the analysis of multi-criteria decision-making problems characterized by specific constraints and requirements.

Download or read book Brain Informatics written by Mufti Mahmud and published by Springer Nature. This book was released on 2022-08-19 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 15th International Conference on Brain Informatics, BI 2022, held as hybrid event in Padua, Italy (in person) and Queensland, Australia (online) in July 2022. The 29 papers were selected from 65 submissions and the main theme of BI 2022 is Brain Science meets Artificial Intelligence with respect to the five tracks: Cognitive and computational foundations of brain science; human information processing systems; brain big data analytics, curation and management; informatics paradigms for brain and mental health research; and brain-machine intelligence and brain inspired computing.

Download or read book Grand Research Challenges in Games and Entertainment Computing in Brazil GranDGamesBR 2020 2030 written by Rodrigo Pereira dos Santos and published by Springer Nature. This book was released on 2023-03-09 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes selected papers presented during the two events: the First Forum, GranDGamesBR 2020, held in Recife, Brazil, in November 2020, and the Second Forum, GranDGamesBR 2021, held in Gramado, Brazi, in October 2021. The 12 papers presented were thoroughly reviewed and selected from 24 submissions. The topics included in this volume cover the following fields connected to games and entertainment computing: game design, educational games, games evaluation, game-based learning, player experience, human-computer interaction, games industry, business models, game software ecosystems, ethics, serious games, cyberdemocracy, emotional design, computer graphics, cognitive simulation, immersive entertainment, virtual/augmented/extended reality, gamification, and creative process.

Download or read book Therapy and the Neural Network Model written by Theodore Wasserman and published by Springer Nature. This book was released on 2019-10-16 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: This innovative work explores integrating emerging research into how the brain processes information in applied therapeutic interventions. Typically, clinicians select therapeutic interventions based on their own training, personal experience or preference. This book aims to provide a new model, based upon the neural networks, to both understand the development of mental health issues and their persistence, and how and why to apply therapeutic interventions to impact the systems which are maintaining them. This work begins with a short and accessible overview of the neural network model, and the general aims of therapy. It elucidates components of the neural network model of learning such as reward recognition, automaticity, and memory reconsolidation, and how they apply to both general learning and new learning through the process in therapy. Next, the authors explore how the neural network model can be integrated across existing systems of therapy, including Cognitive Behavior therapy (CBT), Dialectical Behavior Therapy (DBT), third wave therapies and analytic therapies. Therapy and the Neural Network Model is an exciting resource for researchers and practitioners interested in understanding more about the applications of a neural network model for therapy and the how and why of building new mentally healthy cognitions, behaviors and emotions. Therapy and the Neural Network Model is also an essential theoretical foundation for both researchers and practitioners who wish to base their therapeutic practice on neuroscience and integrate their work with related fields such as behavioral medicine, health psychology, social work and public health.

Download or read book Motivation Emotion and Goal Direction in Neural Networks written by Daniel S. Levine and published by Psychology Press. This book was released on 2014-01-14 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: The articles gathered in this volume represent examples of a unique approach to the study of mental phenomena: a blend of theory and experiment, informed not just by easily measurable laboratory data but also by human introspection. Subjects such as approach and avoidance, desire and fear, and novelty and habit are studied as natural events that may not exactly correspond to, but at least correlate with, some (known or unknown) electrical and chemical events in the brain.

Download or read book Neural Networks and Simulation Methods written by Wu and published by CRC Press. This book was released on 1993-12-14 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work explains network dynamics, learning paradigms, and computational capabilities of feedforward, self-organization, and feedback neural network models-addressing specific problems such as data fusion and data modeling. It goes on to describe a neural network simulation software package - USTCNET and gives some segments of the program.

Download or read book Neurocognitive Learning Therapy Theory and Practice written by Theodore Wasserman and published by Springer. This book was released on 2017-08-01 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: This groundbreaking volume introduces the theoretical base and clinical methods of Neurocognitive Learning Therapy, an integrative framework for client-centered intervention. The model unifies psychology and neuroscience in revisiting the connections between brain and behavior, replacing the cognitive-versus-affective binary traditional to clinical thinking with a scenario of the cognitive and emotional learning processes that work together to shape adaptive and pathological behavior. This foundation in learning theory illuminates the therapeutic relationship, synching how therapists teach with how clients learn, with guidelines for educating to encourage change. The unique flexibility of the NCLT model allows practitioners across clinical orientations the freedom to apply eclectic intervention strategies that fit clients’ learning styles and therapeutic needs. Included in the coverage: Neurocognitive Learning Therapy and Life Course Theory. Reward recognition in Neurocognitive Learning Therapy. Memory reconsolidation and Neurocognitive Learning Therapy. How to be an NCLT therapist. Neurocognitive Learning Therapy clinical procedures. Treating children with Neurocognitive Learning Therapy. Plus practice handouts and forms for therapists and patients. Neuropsychologists, child and school psychologists, and social workers will welcome Neurocognitive Learning Therapy not only as a source of theoretical insight into the brain and behavior, but also as an innovative system for enhancing their capacity for therapeutic teaching and their clients’ capacity for learning.

Download or read book Artificial Higher Order Neural Networks for Computer Science and Engineering Trends for Emerging Applications written by Zhang, Ming and published by IGI Global. This book was released on 2010-02-28 with total page 660 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book introduces and explains Higher Order Neural Networks (HONNs) to people working in the fields of computer science and computer engineering, and how to use HONNS in these areas"--Provided by publisher.

Download or read book How People Learn II written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2018-09-27 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: There are many reasons to be curious about the way people learn, and the past several decades have seen an explosion of research that has important implications for individual learning, schooling, workforce training, and policy. In 2000, How People Learn: Brain, Mind, Experience, and School: Expanded Edition was published and its influence has been wide and deep. The report summarized insights on the nature of learning in school-aged children; described principles for the design of effective learning environments; and provided examples of how that could be implemented in the classroom. Since then, researchers have continued to investigate the nature of learning and have generated new findings related to the neurological processes involved in learning, individual and cultural variability related to learning, and educational technologies. In addition to expanding scientific understanding of the mechanisms of learning and how the brain adapts throughout the lifespan, there have been important discoveries about influences on learning, particularly sociocultural factors and the structure of learning environments. How People Learn II: Learners, Contexts, and Cultures provides a much-needed update incorporating insights gained from this research over the past decade. The book expands on the foundation laid out in the 2000 report and takes an in-depth look at the constellation of influences that affect individual learning. How People Learn II will become an indispensable resource to understand learning throughout the lifespan for educators of students and adults.

Download or read book Recent Developments in Neuroscience Research on Human Motivation written by Sung-il Kim and published by Emerald Group Publishing. This book was released on 2016-12-13 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume provides new insight into motivation theory by integrating noteworthy neuroscience research findings on motivation. This volume is dedicated to advancing our understanding of brain mechanisms of underlying motivational phenomena, including reward, approach, autonomy, intrinsic motivation, learning, effort, curiosity, and self-control.

Download or read book Computational Intelligence In Software Engineering Advances In Fuzzy Systems Applications And Theory written by James F Peters and published by World Scientific. This book was released on 1998-12-24 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique volume is the first publication on software engineering and computational intelligence (CI) viewed as a synergistic interplay of neurocomputing, granular computation (including fuzzy sets and rough sets), and evolutionary methods. It presents a unified view of CI in the context of software engineering.The book addresses a number of crucial issues: what is CI, what role does it play in software development, how are CI elements built into successive phases of the software life cycle, and what is the role played by CI in quantifying fundamental features of software artifacts?With contributions from leading researchers and practitioners, the book provides the reader with a wealth of new concepts and approaches, complete algorithms, in-depth case studies, and thought-provoking exercises. The topics coverage include neurocomputing, granular as well as evolutionary computing, object-oriented analysis and design in software engineering. There is also an extensive bibliography.

Download or read book The Unified Learning Model written by Duane F. Shell and published by Springer Science & Business Media. This book was released on 2010-05-03 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a book about how humans learn. Our focus is on classroom learning although the principles are, as the name of this book indicates, universal. We are concerned with learning from pre-school to post-graduate. We are concerned with most bu- ness, industrial and military training. We do not address how infants learn how to speak or walk, or how grown-ups improve their tennis swing. We do address all learning described by the word “thought”, as well as anything we might try to teach, or instruct in formal educational settings. In education, the words theory and model imply conjecture. In science, these same words imply something that is a testable explanation of phenomena able to predict outcomes of experiments. This book presents a model of learning that the authors offer in the sense of scientists rather than educators. Conjecture implies that information is incomplete, and so it surely is with human learning. On the other hand, we assert that more than enough is known to sustain a “scienti?c” model of learning. This book is not a review of the literature. Instead, it is a synthesis. Scholars and many teachers likely have heard much if not most or even all of the information we use to develop the uni?ed learning model. What you have not read before is a model putting the information together in just this way; this is the ?rst one.

Download or read book Introduction to Neural and Cognitive Modeling written by Daniel S. Levine and published by Routledge. This book was released on 2018-10-26 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides a general introduction to the field of neural networks. Thoroughly revised and updated from the previous editions of 1991 and 2000, the current edition concentrates on networks for modeling brain processes involved in cognitive and behavioral functions. Part one explores the philosophy of modeling and the field’s history starting from the mid-1940s, and then discusses past models of associative learning and of short-term memory that provide building blocks for more complex recent models. Part two of the book reviews recent experimental findings in cognitive neuroscience and discusses models of conditioning, categorization, category learning, vision, visual attention, sequence learning, behavioral control, decision making, reasoning, and creativity. The book presents these models both as abstract ideas and through examples and concrete data for specific brain regions. The book includes two appendices to help ground the reader: one reviewing the mathematics used in network modeling, and a second reviewing basic neuroscience at both the neuron and brain region level. The book also includes equations, practice exercises, and thought experiments.