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Computational Explorations in Cognitive Neuroscience: Understanding the Mind by Simulating the Brain By Randall C. O'Reilly, Yuko Munakata, Publisher: The MIT Press

Number Of Pages: 512

Publication Date: 2000-09-04

Sales Rank: 89924

ISBN / ASIN: 0262650541

EAN: 9780262650540

Binding: Paperback

Manufacturer: The MIT Press

Studio: The MIT Press

Average Rating: 3.5

The goal of computational cognitive neuroscience is to understand how the brain embodies the mind by using biologically based computational models comprising networks of neuronlike units. 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 the field. The neural units in the simulations use equations based directly on the ion channels that govern the behavior of real neurons, and the neural networks incorporate anatomical and physiological properties of the neocortex. Thus the text provides the student with knowledge of the basic biology of the brain as well as the computational skills needed to simulate large-scale cognitive phenomena. The text consists of two parts. The first part covers basic neural computation mechanisms: individual neurons, neural networks, and learning mechanisms. The second part covers large-scale brain area organization and cognitive phenomena: perception and attention, memory, language, and higher-level cognition. The second part is relatively self-contained and can be used separately for mechanistically oriented cognitive neuroscience courses. Integrated throughout the text are more than forty different simulation models, many of them full-scale research-grade models, with friendly interfaces and accompanying exercises. The simulation software (PDP++, available for all major platforms) and simulations can be downloaded free of charge from the Web. Exercise solutions are available, and the text includes full information on the software.

Review: Great for Grads/Professional--confusing and convoluted for undergrad I am currently taking a honors psych class which utilizes this textbook as a lab handout (we solve the exercises closing out each chapter). I find this book very hard to read due to the language and the explanations the authors use to explain certain topics. The book reads more like a guide for those already familiar with the subject matter, and the questions closing out each chapter are even harder to understand than the chapter text itself. If the authors wish the book to be of any help to undergrads who are not already familiar with the topic they should take a step back and revise the text so that it is understandable for all. NOTE TO UA STUDENTS THINKING OF TAKING THE CLASS WHICH UTILIZES THIS BOOK

--dont. Review: Best introduction to neural network models of cognitive processes "Computational Explorations in Cognitive Neuroscience" provides a very readable overview of state-of-the-art neural network models for human cognition with an emphasis on both biological plausibility and experimental (psychological/cognitive) evidence. Review: A new paradigm In this book, research themes, which include perception, memory, language as well as high-level cognition, are explained in terms of computation. Their theory is based on brain science, computer science, and psychology. Though the authors speculate about the functions of each part of the brain and the relation among them to some extent, the authors propose a new paradigm to existing sciences. Their integrative approach and method are very simulative, and I've got a lot of hints from this book. But I don't need the usageof particular software, PDP++ in such a theoretical book. The authors explain and demonstrate their models and theories using PDP++ at the end of each chapter. If you want to study how to use PDP++ as well as their theories, this book will be extremely good one. Review: A new paradigm In this book, research themes including perception, memory, and language as well as high-level cognition are explained in terms of computation. Their theories are based on brain science, computer science, and psychology. Though the authors speculate about the functions of the brain and the relation among them to some extent, the authors propose a new paradigm to existing sciences. Their integrative approach and method are very simulative, and I've got a lot of hints from this book. But I don't need the usage of particular software, PDP++ in such a theoretical book. The authors explain and demonstrate their models and theories using PDP++ at the end of each chapter. If you want to study how to use PDP++ as well as their theories, this book will be truly excellent. Buy Book at Lowest Price on Amazon

Rating:
2.5 out of 5 by Book123