Computational Models of Brain and Behavior

Computational Models of Brain and Behavior
Author :
Publisher : John Wiley & Sons
Total Pages : 588
Release :
ISBN-10 : 9781119159070
ISBN-13 : 1119159075
Rating : 4/5 (70 Downloads)

Book Synopsis Computational Models of Brain and Behavior by : Ahmed A. Moustafa

Download or read book Computational Models of Brain and Behavior written by Ahmed A. Moustafa and published by John Wiley & Sons. This book was released on 2017-09-11 with total page 588 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive Introduction to the world of brain and behavior computational models This book provides a broad collection of articles covering different aspects of computational modeling efforts in psychology and neuroscience. Specifically, it discusses models that span different brain regions (hippocampus, amygdala, basal ganglia, visual cortex), different species (humans, rats, fruit flies), and different modeling methods (neural network, Bayesian, reinforcement learning, data fitting, and Hodgkin-Huxley models, among others). 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. 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 Computational Models of Brain and Behavior is 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 Related Books

Computational Models of Brain and Behavior
Language: en
Pages: 588
Authors: Ahmed A. Moustafa
Categories: Psychology
Type: BOOK - Published: 2017-09-11 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

A comprehensive Introduction to the world of brain and behavior computational models This book provides a broad collection of articles covering different aspect
Computational Models of Brain and Behavior
Language: en
Pages: 586
Authors: Ahmed A. Moustafa
Categories: Psychology
Type: BOOK - Published: 2017-11-13 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

A comprehensive Introduction to the world of brain and behavior computational models This book provides a broad collection of articles covering different aspect
Computational Models of Brain and Behavior
Language: en
Pages: 845
Authors: Ahmed A. Moustafa
Categories: Psychology
Type: BOOK - Published: 2017-09-18 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

A comprehensive Introduction to the world of brain and behavior computational models This book provides a broad collection of articles covering different aspect
Computational Modeling of Cognition and Behavior
Language: en
Pages: 485
Authors: Simon Farrell
Categories: Psychology
Type: BOOK - Published: 2018-02-22 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

This book presents an integrated framework for developing and testing computational models in psychology and related disciplines. Researchers and students are g
Computational Explorations in Cognitive Neuroscience
Language: en
Pages: 540
Authors: Randall C. O'Reilly
Categories: Medical
Type: BOOK - Published: 2000-08-28 - Publisher: MIT Press

DOWNLOAD EBOOK

This text, based on a course taught by Randall O'Reilly and Yuko Munakata over the past several years, provides an in-depth introduction to the main ideas in th