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I. Introduction and Overview
1. Basic Neural Computational Mechanisms
2. Individual Neurons
3. Networks of Neurons
4. Hebbian Model Learning
5. Error-Driven Task Learning
6. Combined Model and Task Learning, and Other Mechanisms
II. Large-Scale Brain Area Organization and Cognitive Phenomena
7. Large-Scale Brain Area Functional Organization
8. Perception and Attention
9. Memory
10. Language
11. Higher-Level Cognition
12. Conclusions
III. Simulator Details
A. Introduction to the PDP++ Simulation Environment
B. Tutorial for Constructing Simulations in PDP++
C. Leabra Implementation Reference
References
Author Index
Subject Index
| Price | Condition | Delivery | Seller | Action |
| $99.99 | Digital |
| WonderClub |
Kris Sanders
reviewed Computational explorations in cognitive neuroscience on November 28, 2007
Computational explorations in cognitive neuroscience
Very interesting topics are discussed in this book. Unfortunately, in many areas I found myself reading a section going "ok... ok... " and then once I had finished reading the passage having no clue what I should have just learned from it. This is not one of those books that you can pick up and learn something on your own.
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Add Computational explorations in cognitive neuroscience, 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 Mu, Computational explorations in cognitive neuroscience to the inventory that you are selling on WonderClubX
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Add Computational explorations in cognitive neuroscience, 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 Mu, Computational explorations in cognitive neuroscience to your collection on WonderClub |
