Computational Models of Brain and Behavior

by Ahmed A. Moustafa (Editor)

Computational neuroscience is an area that has seen explosive growth in recent years. It combines computer science, mathematics, and neuroscience to develop new models and theories of how the brain works. One book that stands out in this area is “Computational Models of Brain and Behavior” which provides a comprehensive introduction to the world of brain and behavior computational models.

Edited by Ahmed A. Moustafa, this book brings together a collection of articles covering different aspects of computational modeling efforts in psychology and neuroscience. The book is divided into four sections, each offering an in-depth coverage of different topics. The first section covers models of brain disorders such as depression, posttraumatic stress disorder (PTSD), schizophrenia, and dyslexia. The next section discusses neural models of behavioral processes such as Pavlovian and instrumental conditioning. The third section focuses on models of neural processes, brain regions, and neurotransmitters, while the fourth section provides insights into neural modeling approaches.

The book’s comprehensive coverage makes it a valuable resource for advanced undergraduate, Master’s and PhD-level students, as well as researchers involved in computational neuroscience modeling research. It is perfect for those looking to broaden their knowledge in this area, and it is an essential resource for those planning to undertake research in this field.

One of the outstanding features of “Computational Models of Brain and Behavior” is how it covers different brain regions, species, and modeling methods. There are models that span different brain regions such as the hippocampus, amygdala, basal ganglia, visual cortex, and models that cover different species such as humans, rats, and fruit flies. The book also covers different modeling methods such as neural network, Bayesian, reinforcement learning, data fitting, and Hodgkin-Huxley models, among others.

A highly informative aspect of this book is its section on models of psychiatric and neurological disorders. The chapters in this section offer a unique perspective on how computational models can be used to understand these disorders. For instance, the book covers computational approximations to intellectual disability in Down syndrome, computational models of pharmacological and immunological treatment in Alzheimer’s disease, and neural circuit models of the serotonergic system.

Another part of the book that stands out is the discussion on information theory, memory, prediction, and timing in associative learning. These chapters are highly informative and provide readers with a broad understanding of how these principles relate to brain and behavior computational models.

Overall, “Computational Models of Brain and Behavior” is an impressive book. It covers a broad range of topics and is written in a clear and concise manner. The book is a valuable resource for anyone interested in computational neuroscience modeling research and provides readers with a comprehensive understanding of the latest research in this area.

In conclusion, if you are interested in computational neuroscience, “Computational Models of Brain and Behavior” is an invaluable resource that you should seriously consider. It covers different brain regions, species, and modeling methods, making it an essential resource for anyone undertaking research in this area. It is informative, well-written, and packed with valuable insights, making it a worthwhile addition to any researcher’s bookshelf. So, why not order your copy today and take the first step in broadening your knowledge of computational neuroscience.

Product Details

• Covers computational approximations to intellectual disability in down syndrome
• Discusses computational models of pharmacological and immunological treatment in Alzheimer’s disease
• Examines neural circuit models of serotonergic system (from microcircuits to cognition)
• Educates on information theory, memory, prediction, and timing in associative learning

• Hardcover: 584 pages
• Publisher: Wiley-Blackwell; 1 edition (November 20, 2017)
• Language: English
• ISBN-10: 1119159067
• ISBN-13: 978-1119159063