Therapy and the Neural Network Model

Therapy and the Neural Network Model

Author: Theodore Wasserman

Publisher: Springer Nature

Published: 2019-10-16

Total Pages: 200

ISBN-13: 3030269213

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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.


Book Synopsis Therapy and the Neural Network Model by : Theodore Wasserman

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.


Motivation, Effort, and the Neural Network Model

Motivation, Effort, and the Neural Network Model

Author: Theodore Wasserman

Publisher: Springer Nature

Published: 2020-10-27

Total Pages: 169

ISBN-13: 303058724X

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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.


Book Synopsis Motivation, Effort, and the Neural Network Model by : Theodore Wasserman

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.


Neural Networks and Psychopathology

Neural Networks and Psychopathology

Author: Dan J. Stein

Publisher: Cambridge University Press

Published: 1998-12-03

Total Pages: 387

ISBN-13: 1139429256

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Research on connectionist models is one of the most exciting areas in cognitive science, and neural network models of psychopathology have immediate theoretical and empirical appeal. The contributors to this study review theoretical, historical and clinical issues, including the contribution of neural network models to diagnosis, pharmacotherapy and psychotherapy. Models are presented for a range of disorders, including schizophrenia, obsessive-compulsive disorder, dissociative phenomena, autism and Alzheimer's disease. This book will appeal to a broad audience. On the one hand, it will be read with interest by psychiatrists, psychologists and other clinicians and researchers in psychopathology. On the other, it will appeal to those working in cognitive science and artificial intelligence, and particularly those interested in neural network or connectionist models.


Book Synopsis Neural Networks and Psychopathology by : Dan J. Stein

Download or read book Neural Networks and Psychopathology written by Dan J. Stein and published by Cambridge University Press. This book was released on 1998-12-03 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research on connectionist models is one of the most exciting areas in cognitive science, and neural network models of psychopathology have immediate theoretical and empirical appeal. The contributors to this study review theoretical, historical and clinical issues, including the contribution of neural network models to diagnosis, pharmacotherapy and psychotherapy. Models are presented for a range of disorders, including schizophrenia, obsessive-compulsive disorder, dissociative phenomena, autism and Alzheimer's disease. This book will appeal to a broad audience. On the one hand, it will be read with interest by psychiatrists, psychologists and other clinicians and researchers in psychopathology. On the other, it will appeal to those working in cognitive science and artificial intelligence, and particularly those interested in neural network or connectionist models.


Apraxia: The Neural Network Model

Apraxia: The Neural Network Model

Author: Theodore Wasserman

Publisher: Springer Nature

Published: 2023-01-26

Total Pages: 228

ISBN-13: 3031241053

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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.


Book Synopsis Apraxia: The Neural Network Model by : Theodore Wasserman

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.


Artificial Neural Networks

Artificial Neural Networks

Author: Joao Luis Garcia Rosa

Publisher: BoD – Books on Demand

Published: 2016-10-19

Total Pages: 416

ISBN-13: 9535127047

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The idea of simulating the brain was the goal of many pioneering works in Artificial Intelligence. The brain has been seen as a neural network, or a set of nodes, or neurons, connected by communication lines. Currently, there has been increasing interest in the use of neural network models. This book contains chapters on basic concepts of artificial neural networks, recent connectionist architectures and several successful applications in various fields of knowledge, from assisted speech therapy to remote sensing of hydrological parameters, from fabric defect classification to application in civil engineering. This is a current book on Artificial Neural Networks and Applications, bringing recent advances in the area to the reader interested in this always-evolving machine learning technique.


Book Synopsis Artificial Neural Networks by : Joao Luis Garcia Rosa

Download or read book Artificial Neural Networks written by Joao Luis Garcia Rosa and published by BoD – Books on Demand. This book was released on 2016-10-19 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: The idea of simulating the brain was the goal of many pioneering works in Artificial Intelligence. The brain has been seen as a neural network, or a set of nodes, or neurons, connected by communication lines. Currently, there has been increasing interest in the use of neural network models. This book contains chapters on basic concepts of artificial neural networks, recent connectionist architectures and several successful applications in various fields of knowledge, from assisted speech therapy to remote sensing of hydrological parameters, from fabric defect classification to application in civil engineering. This is a current book on Artificial Neural Networks and Applications, bringing recent advances in the area to the reader interested in this always-evolving machine learning technique.


Neural Networks and Psychopathology

Neural Networks and Psychopathology

Author: Dan J. Stein

Publisher:

Published: 1998

Total Pages: 387

ISBN-13: 9780511328695

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Reviews theoretical, historical and clinical issues, including the contribution of neural network models to diagnosis, pharmacotherapy and psychotherapy. It will interest clinicians and researchers in psychiatry and psychopathology and those working in cognitive science and artificial intelligence.


Book Synopsis Neural Networks and Psychopathology by : Dan J. Stein

Download or read book Neural Networks and Psychopathology written by Dan J. Stein and published by . This book was released on 1998 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reviews theoretical, historical and clinical issues, including the contribution of neural network models to diagnosis, pharmacotherapy and psychotherapy. It will interest clinicians and researchers in psychiatry and psychopathology and those working in cognitive science and artificial intelligence.


Neuroscience for Clinicians

Neuroscience for Clinicians

Author: C. Alexander Simpkins

Publisher: Springer Science & Business Media

Published: 2012-09-14

Total Pages: 350

ISBN-13: 1461448425

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This book fills the need for an introductory text that opens the field up to the beginner and takes them to higher-level thinking about neuroscience. Neuroscience has captured the interest of students, professionals, and the general public. In fact it is so new, that there are very few books that gather it together in one text. Neuroscience is an amalgamation of many fields: psychology, cognitive science, chemistry, biology, engineering, philosophy, mathematics, and statistics. People who are new to the discipline have to be able to find their way through all of these fields together. In addition, they need to understand the highly technical lexicon, modeling methods, and theoretical assumptions used to describe brain structure, function, and the interaction between them. This book helps readers navigate the conventions used to describe the brain that developed through the years. The authors crystallize the complex modeling methods and technologies so that readers understand what they are saying and how to use them. They address the important underlying principles and important issues of neuroscience, with the debates and discussions that are ongoing as the field evolves. They also include many salient fine-grained details so that the book is not just an overview, but also a useful guide for many levels of readers.


Book Synopsis Neuroscience for Clinicians by : C. Alexander Simpkins

Download or read book Neuroscience for Clinicians written by C. Alexander Simpkins and published by Springer Science & Business Media. This book was released on 2012-09-14 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book fills the need for an introductory text that opens the field up to the beginner and takes them to higher-level thinking about neuroscience. Neuroscience has captured the interest of students, professionals, and the general public. In fact it is so new, that there are very few books that gather it together in one text. Neuroscience is an amalgamation of many fields: psychology, cognitive science, chemistry, biology, engineering, philosophy, mathematics, and statistics. People who are new to the discipline have to be able to find their way through all of these fields together. In addition, they need to understand the highly technical lexicon, modeling methods, and theoretical assumptions used to describe brain structure, function, and the interaction between them. This book helps readers navigate the conventions used to describe the brain that developed through the years. The authors crystallize the complex modeling methods and technologies so that readers understand what they are saying and how to use them. They address the important underlying principles and important issues of neuroscience, with the debates and discussions that are ongoing as the field evolves. They also include many salient fine-grained details so that the book is not just an overview, but also a useful guide for many levels of readers.


The Dao of Neuroscience

The Dao of Neuroscience

Author: C Alexander Simpkins

Publisher: W. W. Norton & Company

Published: 2010-03-16

Total Pages: 300

ISBN-13: 9780393705973

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"Dao is an ancient Eastern method, a way or path for exploring and learning. From the Eastern perspective everything has its Dao, or "way," even the brain. By weaving together this and other Eastern traditions (including yoga, Buddhism, and Zen) and Western science, new understandings previously not considered emerge. This book is an insightful introduction to these traditions that sheds new light on the relationship between the mind and the brain."--Back cover.


Book Synopsis The Dao of Neuroscience by : C Alexander Simpkins

Download or read book The Dao of Neuroscience written by C Alexander Simpkins and published by W. W. Norton & Company. This book was released on 2010-03-16 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Dao is an ancient Eastern method, a way or path for exploring and learning. From the Eastern perspective everything has its Dao, or "way," even the brain. By weaving together this and other Eastern traditions (including yoga, Buddhism, and Zen) and Western science, new understandings previously not considered emerge. This book is an insightful introduction to these traditions that sheds new light on the relationship between the mind and the brain."--Back cover.


Neural Networks in Healthcare: Potential and Challenges

Neural Networks in Healthcare: Potential and Challenges

Author: Begg, Rezaul

Publisher: IGI Global

Published: 2006-01-31

Total Pages: 332

ISBN-13: 1591408504

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"This book covers state-of-the-art applications in many areas of medicine and healthcare"--Provided by publisher.


Book Synopsis Neural Networks in Healthcare: Potential and Challenges by : Begg, Rezaul

Download or read book Neural Networks in Healthcare: Potential and Challenges written by Begg, Rezaul and published by IGI Global. This book was released on 2006-01-31 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book covers state-of-the-art applications in many areas of medicine and healthcare"--Provided by publisher.


Handbook of Cognitive-Behavioral Therapies, Third Edition

Handbook of Cognitive-Behavioral Therapies, Third Edition

Author: Keith S. Dobson

Publisher: Guilford Press

Published: 2009-11-12

Total Pages: 497

ISBN-13: 160918100X

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This book has been replaced by Handbook of Cognitive-Behavioral Therapies, Fourth Edition, ISBN 978-1-4625-3858-4.


Book Synopsis Handbook of Cognitive-Behavioral Therapies, Third Edition by : Keith S. Dobson

Download or read book Handbook of Cognitive-Behavioral Therapies, Third Edition written by Keith S. Dobson and published by Guilford Press. This book was released on 2009-11-12 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book has been replaced by Handbook of Cognitive-Behavioral Therapies, Fourth Edition, ISBN 978-1-4625-3858-4.