Therapy and the Neural Network Model, Theodore Wasserman; Lori Drucker Wasserman
Автор: Mcmahon, Elizabeth (private Practice, California, Usa) Boeldt, Debra (university Of Colorado Anschutz Medical Campus, Usa) Название: Virtual reality therapy for anxiety ISBN: 0367699516 ISBN-13(EAN): 9780367699512 Издательство: Taylor&Francis Рейтинг: Цена: 5051.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Practical, down to earth, clearly written, and easy for therapists to understand and apply, Virtual Reality Therapy for Anxiety is a useful guide for any clinician treating anxiety, regardless of setting (in-office or via telehealth), theoretical orientation, or level of training. Written by an experienced psychologist who has used multiple VR systems since 2010, it’s the only up to date, clinically informed, evidence-based training manual available. Easy-to-understand concepts and diagrams explain anxiety and its treatment, and the book incorporates research findings and clinical expertise. VRT is described step by step with multiple case examples, and an extended case-vignette chapter presents a session-by-session treatment protocol of a complex case with transcript excerpts. Key findings and quotations from research are also presented.After completing the guide, therapists and other mental health professionals will understand the unique clinical benefits of VR, be prepared to use VR in therapy comfortably and effectively either in the office or remotely, and will have expertise in a new, needed, and empirically validated treatment for a common clinical problem.
Описание: To help readers succeed with the "modern family," Patricia Pitta introduces Assimilative Family Therapy. She instructs on how to be sensitive to the many unique contexts presented by the modern family and its individuals, and how to integrate evidence-based theories and therapies.
Автор: Richardson Carmen Название: Expressive Arts Therapy for Traumatized Children and Adolesc ISBN: 0415733782 ISBN-13(EAN): 9780415733786 Издательство: Taylor&Francis Рейтинг: Цена: 6430.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Expressive Arts Therapy for Traumatized Children and Adolescentsis the book so many expressive arts and trauma therapists have been waiting for.
Автор: Isebaert Luc Название: Solution-Focused Cognitive and Systemic Therapy ISBN: 113867768X ISBN-13(EAN): 9781138677685 Издательство: Taylor&Francis Рейтинг: Цена: 5051.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Solution-Focused Cognitive and Systemic Therapy: The Bruges Model is the first book in English to lay out the Bruges Model, a meta-model that incorporates solution focused therapy in an analysis of the therapeutic alliance and common factors that account for the majority of the efficacy of any therapeutic endeavor.
Автор: Cohen Mike X. Название: Analyzing Neural Time Series Data: Theory and Practice ISBN: 0262019876 ISBN-13(EAN): 9780262019873 Издательство: MIT Press Рейтинг: Цена: 11850.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
A comprehensive guide to the conceptual, mathematical, and implementational aspects of analyzing electrical brain signals, including data from MEG, EEG, and LFP recordings.
This book offers a comprehensive guide to the theory and practice of analyzing electrical brain signals. It explains the conceptual, mathematical, and implementational (via Matlab programming) aspects of time-, time-frequency- and synchronization-based analyses of magnetoencephalography (MEG), electroencephalography (EEG), and local field potential (LFP) recordings from humans and nonhuman animals. It is the only book on the topic that covers both the theoretical background and the implementation in language that can be understood by readers without extensive formal training in mathematics, including cognitive scientists, neuroscientists, and psychologists.
Readers who go through the book chapter by chapter and implement the examples in Matlab will develop an understanding of why and how analyses are performed, how to interpret results, what the methodological issues are, and how to perform single-subject-level and group-level analyses. Researchers who are familiar with using automated programs to perform advanced analyses will learn what happens when they click the "analyze now" button.
The book provides sample data and downloadable Matlab code. Each of the 38 chapters covers one analysis topic, and these topics progress from simple to advanced. Most chapters conclude with exercises that further develop the material covered in the chapter. Many of the methods presented (including convolution, the Fourier transform, and Euler's formula) are fundamental and form the groundwork for other advanced data analysis methods. Readers who master the methods in the book will be well prepared to learn other approaches.
Are you thinking that as much as we want to look for logical frameworks for intelligence, there is no certainty or scientific proof that intelligence is as structured as we believe it to be?
As in the evolutionary process, where chaos and order wisely coexist, I see a research gap related to our brain and mind, typically related to focusing on models based solely on order.
But if we are researching Artificial Intelligence, why are we so attached to the order and models that are supposed to be those of our brain?
Or, what binds us so much to what we see only, without opening spaces to what we don't see, if only to consider them small pieces of chaos?
In this openness and vision, when it comes to intelligence, I propose a new concept: that of unstructured intelligence, which I will try to explain in this book.
In this book, you will learn:
Automatic Learning
Machine Learning Paradigms
Inductive Learning
Induction Of Decision Trees
The relevance of attributes
Algorithms
Cluster
And Much more...
I think one of the main reasons for AI's long winter was that we went deep into it, creating architectures focused on existing paradigms, with little investment in new technologies and standards, such as machine learning itself.
But are we aren't repeating the same mistake in this new wave of AI?
If so, I consider the main mistake too much focus on artificial neural network architectures, as if this was the solution to solving complex learning problems in the human pattern or even the main door to generic artificial intelligence with semantic analysis capabilities.
And a possible solution to avoid the same history of past failure, perhaps, is to tackle high complexity real-world learning problems collectively and collaboratively, such as creating AI systems that can teach them to learn for themselves, like us humans.
So the architecture that seems to be the most logical for such problems is precisely the hybrid, where we have the most varied types of learning. In fact, before we are born, we are already learning in a hybrid way, with labeled and unlabeled data, by its very nature, and all its mechanisms of evolution.
You may think that you don't remember any important labeled data when you were a baby or child, but your mind and brain did a swell job to solve the puzzles that required some labeling to move on, as unsupervised learning systems follow.
So we can think of a similar machine architecture where the basis for all inferences is supervised learning, but capable of labeling any data that is not done by humans or other machines. And even criticize existing labels.
We are actually talking about machine learning - unsupervised - to generate labels for machine learning.
And creativity, in my view, is one of the essential links to evolve in understanding and formalizing new machine learning models.
Do you really want to easily learn and understand Machine Learning?
If so, get started today: scroll to the top, and click "BUY NOW"
Автор: Wasserman Название: Apraxia: The Neural Network Model ISBN: 3031241045 ISBN-13(EAN): 9783031241048 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.
Автор: Eduonix Learning Solutions Название: Machine Learning for Healthcare Analytics Projects ISBN: 1789536596 ISBN-13(EAN): 9781789536591 Издательство: Неизвестно Рейтинг: Цена: 4780.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Machine Learning in the healthcare domain is booming because of its abilities to provide accurate and stabilized techniques. This book is packed with new methodologies to create efficient solutions for healthcare analytics. We will build five end-to-end projects to evaluate the efficiency of AI apps to carry out simple-to-complex healthcare ...
Автор: Copello, Alex Название: Social Behaviour and Network Therapy for Alcohol Problems ISBN: 1583918035 ISBN-13(EAN): 9781583918036 Издательство: Taylor&Francis Рейтинг: Цена: 5664.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: To help readers succeed with the "modern family," Patricia Pitta introduces Assimilative Family Therapy. She instructs on how to be sensitive to the many unique contexts presented by the modern family and its individuals, and how to integrate evidence-based theories and therapies.
Автор: Wasserman Theodore, Wasserman Lori Drucker Название: Therapy and the Neural Network Model ISBN: 303026923X ISBN-13(EAN): 9783030269234 Издательство: Springer Рейтинг: Цена: 8384.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.
Автор: Wasserman Theodore, Wasserman Lori Название: Motivation, Effort, and the Neural Network Model ISBN: 3030587231 ISBN-13(EAN): 9783030587239 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.
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