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Computational Models of Brain and Behavior (PDF)

Introduction to Computational Models of Brain and Behavior

Edited by Ahmed A. Moustafa, this comprehensive book provides a broad collection of articles covering different aspects of computational modeling efforts in psychology and neuroscience. It discusses models that span different brain regions, different species, and different modeling methods.

Models of Brain Disorders

The book is divided into four sections, starting with models of brain disorders. This section covers computational models of psychiatric disorders such as depression, posttraumatic stress disorder (PTSD), schizophrenia, and dyslexia, as well as neurological disorders including Alzheimer’s disease, Parkinson’s disease, and epilepsy.

Neural Models of Behavioral Processes

The second section focuses on neural models of behavioral processes. It includes early sensory and perceptual processes, models of olfaction, higher/systems level models, and low-level models. Additionally, it discusses Pavlovian and instrumental conditioning, linking information theory to neurobiology, and more.

Models of Neural Processes, Brain Regions, and Neurotransmitters

The third section delves into models of neural processes, brain regions, and neurotransmitters. It educates readers on 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

The final section covers various neural modeling approaches. It provides insights into information theory, memory, prediction, and timing in associative learning, among other topics.

Computational Models of Brain and Behavior is an essential read for advanced undergraduate, Master’s, and PhD-level students, as well as researchers involved in computational neuroscience modeling research. With its comprehensive coverage of computational models in psychology and neuroscience, this book serves as a valuable resource for those seeking to understand the complex interplay between brain function and behavior.

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