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Motivation, Effort, and the Neural Network Model

  • The book provides a complete reinterpretation of the construct called motivation by describing how emotionally laden goal seeking behavior is expressed through the networked organization of the human brain
  • Understanding how motivation operates has profound implications for the practice of clinical and neuropsychology. Many longstanding assumptions may be incorrect and practice standards may have to be altered
  • Understanding how to motivate people based on this model will lead to new interventions in many fields of endeavor outside of psychology. Educators and business people will profit by understanding the implications of this groundbreaking for their fields

Part of the book series: Neural Network Model: Applications and Implications (NNMAI)

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Table of contents (12 chapters)

  1. Front Matter

    Pages i-xi
  2. Introduction

    • Theodore Wasserman, Lori Wasserman
    Pages 1-6
  3. Traditional Models of Motivation

    • Theodore Wasserman, Lori Wasserman
    Pages 7-18
  4. The Development of Motivation

    • Theodore Wasserman, Lori Wasserman
    Pages 19-41
  5. The Role of the Reward Recognition Network in Understanding Motivation

    • Theodore Wasserman, Lori Wasserman
    Pages 43-62
  6. Motivation as Goal-Directed Behavior: The Effect of Decision-Making

    • Theodore Wasserman, Lori Wasserman
    Pages 63-75
  7. Predicting Errors and Motivation

    • Theodore Wasserman, Lori Wasserman
    Pages 77-84
  8. Motivation Potential Is Not Motivation in Action

    • Theodore Wasserman, Lori Wasserman
    Pages 85-91
  9. Motivation: State, Trait, or Both

    • Theodore Wasserman, Lori Wasserman
    Pages 93-101
  10. Disorders of Motivation

    • Theodore Wasserman, Lori Wasserman
    Pages 115-127
  11. How to Motivate People

    • Theodore Wasserman, Lori Wasserman
    Pages 129-143
  12. Motivation, Effort, and Neural Network Modeling: Implications

    • Theodore Wasserman, Lori Wasserman
    Pages 145-160
  13. Back Matter

    Pages 161-164

About this book

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.

Authors and Affiliations

  • Institution for Neurocognitive Learning Therapy, Wasserman & Drucker PA, Boca Raton, USA

    Theodore Wasserman, Lori Wasserman

About the authors

Dr. Ted Wasserman is board certified in clinical psychology by the American Board of Professional Psychology and board certified in pediatric neuropsychology by the American Board of Pediatric Neuropsychology. He is a member of the American Academy of Clinical Psychology and the American Academy of Pediatric Neuropsychology as a result of these board certifications. Dr. Wasserman, a Licensed Psychologist in the State of Florida, completed his doctorate at Hofstra University in 1974. He completed a one-year internship in pediatric neuropsychology at North Shore University Medical Center. Postdoctoral training was completed in Cognitive Behavior Therapy at the Institute for Advanced Study of Rational Psychotherapy under the supervision of Albert Ellis PHD. Dr. Wasserman holds memberships in the National Academy of Neuropsychology and the International Neuropsychological Society and is a founding member and past president of American Board of Pediatric Neuropsychology.

Dr. Wasserman is the co-author of three books, Depathologizing Psychopathology, Neurocognitive Learning Therapy: Theory and Practice and Therapy and the Neural Network Model, published by Springer in 2017, 2018 and 2019 respectively. Dr. Wasserman has contributed chapters to various books on clinical issues related to family law, autism, and attention deficit disorder and learning disorders. Topics of published papers include children’s development, attention, language and executive function, behavior management and cognitive behavior therapy. He has given invited lectures and provided consultation regarding pediatric neuropsychology throughout the United States and internationally.

Lori Drucker Wasserman has been in clinical practice since 1982. Dr. Wasserman received her Bachelor of Arts degree from New York University and both her Masters and her Ph.D. in Clinical Psychology at Hofstra University. Dr. Wasserman is a licensed psychologist and is Board Certified in Pediatric Neuropsychology by the American Board of Pediatric Neuropsychology. She is also a certified School Psychologist. Dr. Wasserman is certified as a trained examiner for the Brazelton Neonatal Behavioral Assessment Scale.

Dr. Wasserman has worked at the Astor Day Treatment Center in the Bronx with children between the ages of 5 – 18 and the Early Intervention Program in Palm Beach County evaluating children between the ages of birth and three years.  She has extensive experience in the assessment, diagnosis and planning for children with special needs, emotional and educational concerns. Dr. Wasserman has also had extensive treatment experience in working with individuals across the life spectrum applying the practices of Neurocognitive Learning Therapy.  


Dr. Wasserman is the co-author of three books, Depathologizing Psychopathology, Neurocognitive Learning Therapy: Theory and Practice and Therapy and the Neural Network Model, published by Springer in 2017, 2018 and 2019 respectively.


Bibliographic Information

  • Book Title: Motivation, Effort, and the Neural Network Model

  • Authors: Theodore Wasserman, Lori Wasserman

  • Series Title: Neural Network Model: Applications and Implications

  • DOI: https://doi.org/10.1007/978-3-030-58724-6

  • Publisher: Springer Cham

  • eBook Packages: Behavioral Science and Psychology, Behavioral Science and Psychology (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020

  • Hardcover ISBN: 978-3-030-58723-9Published: 28 October 2020

  • Softcover ISBN: 978-3-030-58726-0Published: 28 October 2021

  • eBook ISBN: 978-3-030-58724-6Published: 27 October 2020

  • Series ISSN: 2946-5753

  • Series E-ISSN: 2946-5761

  • Edition Number: 1

  • Number of Pages: XI, 164

  • Number of Illustrations: 1 b/w illustrations, 3 illustrations in colour

  • Topics: Neuropsychology, Behavioral Therapy, Health Psychology

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access