Motivation, Effort, and the Neural Network Model by Theodore Wasserman
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Motivation, Effort, and the Neural Network Model

Motivation, Effort, and the Neural Network Model


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About the Book

Chapter 1. How Neural Networks Work; Chapter.- Chapter 2. Small World Hub, Vertical Brain Modeling of Motivation and Effort.- Chapter 3. Motivation and Gating.- Section 2. Motivation and Effort Reimagined.- Chapter 4. Traditional models of Motivation.- Chapter 5. Traditional Models of Effort.- Chapter 6. The Reward Recognition Network and its Role in Motivation and Effor.- Chapter 7. Is Motivation a State or a Trait.- Chapter 8. Task Dependent Motivation and Effort.- Section 3. Effort Testing Forensic Practice.- Chapter 9. Current models of Effort Testing.- Chapter 10. Reformulated Models of Effort Testing.- Chapter 11. Implications for Psychological and Neuropsychological testing.- Chapter 12. Implications for Forensic Practice.- Section 4. Motivation and Clinical practice.- Chapter 13. How to use the reformulated Model of Motivation in Clinical Practice.- Chapter 14. Encouraging the Development of targeted Motivation.


About the Author:

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.



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Product Details
  • ISBN-13: 9783030587239
  • Publisher: Springer International Publishing
  • Publisher Imprint: Springer
  • Height: 234 mm
  • No of Pages: 164
  • Series Title: Neural Network Model: Applications and Implications
  • Weight: 476 gr
  • ISBN-10: 3030587231
  • Publisher Date: 28 Oct 2020
  • Binding: Hardback
  • Language: English
  • Returnable: Y
  • Spine Width: 11 mm
  • Width: 156 mm


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