Introduction to Computational Models of Brain and Behavior

This comprehensive guide, edited by Ahmed A. Moustafa, delves into the world of computational modeling in psychology and neuroscience. It covers a wide range of topics, including models that span different brain regions, species, and modeling methods.

Models of Brain Disorders

The book includes in-depth coverage of models of psychiatric disorders such as depression, posttraumatic stress disorder (PTSD), schizophrenia, and dyslexia. It also discusses models of neurological disorders, including Alzheimer’s disease, Parkinson’s disease, and epilepsy.

Neural Models of Behavioral Processes

Computational Models of Brain and Behavior explores early sensory and perceptual processes, models of olfaction, higher/systems level models, and low-level models. It also delves into Pavlovian and instrumental conditioning, linking information theory to neurobiology, and more.

Models of Neural Processes, Brain Regions, and Neurotransmitters

This section of 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.

Neural Modeling Approaches

Finally, the book educates readers on information theory, memory, prediction, and timing in associative learning, providing a comprehensive overview of computational neuroscience modeling research.

Written for advanced undergraduate, Master’s, and PhD-level students, as well as researchers involved in computational neuroscience modeling research, Computational Models of Brain and Behavior is an invaluable resource for those seeking to understand the complex interplay between brain function and behavior.