You might also like

Availability alert

More about Computational Explorations in Cognitive Neuroscience

• Book details
• Synopsis
• Trending among others

You get 187 loyalty points

Book synopsis

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.

Book details

Book category Books in English Mathematics & science Biology, life sciences Life sciences: general issues

• Full title: Computational Explorations in Cognitive Neuroscience
• Author: O´Reilly
• Language: English
• Binding: Paperback
• Number of pages: 532
• EAN: 9780262650540
• ISBN: 0262650541
• ID: 04397587
• Publisher: MIT Press Ltd
• Weight: 1192 g
• Dimensions: 229 × 203 × 28 mm
• Date of publishing: 28. August 2000

Trending among others

---

---

---