Computational Models of Brain and Behavior (PDF)

An extensive guide to computational models of brain and behavior

This book offers a wide range of articles covering various aspects of computational modeling in psychology and neuroscience. It includes models that cover various brain regions (such as hippocampus, amygdala, basal ganglia, and visual cortex), different species (humans, rats, and fruit flies), and various modeling methods (including neural network, Bayesian, reinforcement learning, data fitting, and Hodgkin-Huxley models).

Computational Models of Brain and Behavior is divided into four sections: (a) Models of brain disorders; (b) Neural models of behavioral processes; (c) Models of neural processes, brain regions and neurotransmitters, and (d) Neural modeling approaches. It provides in-depth coverage of models of psychiatric disorders, including depression, posttraumatic stress disorder (PTSD), schizophrenia, and dyslexia; models of neurological disorders, including Alzheimer’s disease, Parkinson’s disease, and epilepsy; early sensory and perceptual processes; models of olfaction; higher/systems level models and low-level models; Pavlovian and instrumental conditioning; linking information theory to neurobiology, and more.

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

Computational Models of Brain and Behavior targets advanced undergraduate, Master’s, and Ph.D.-level students, as well as researchers involved in computational neuroscience modeling research.