Circuits of the Mind

Circuits of the Mind

4.4 (5 ratings by Goodreads)
By (author) 

List price: US$77.00

Currently unavailable

We can notify you when this item is back in stock

Add to wishlist

AbeBooks may have this title (opens in new window).

Try AbeBooks


This work details a computational approach to studying the intricate workings of the brain. Focusing on the brain's ability to access a massive store of information, it asks how such feats are possible given the constraints imposed by the brain's finite number of neurons, their limited speed of communication, and their restricted interconnectivity. The author proposes a "neuroidal model" that serves as a vehicle to explore these more

Product details

  • Hardback | 252 pages
  • 156 x 238 x 22mm | 619.99g
  • Oxford University Press Inc
  • New York, United States
  • English
  • line figures, bibliography
  • 019508926X
  • 9780195089264

Table of contents

1: The Approach. 2: Biological Constraints. 2.1: Introduction. 2.2: The Neocortex. 2.3: Pyramidal Neurons. 3: Computational Laws. 3.1: Introduction. 3.2: Three Sources of Complexity. 4: Cognitive Functions. 4.1: Introduction. 4.2: Boolean Functions. 4.3: Learning. 4.4: The Nature of Concepts. 4.5: Experimental Psychology. 5: The Neuroidal Model. 5.1: Programmable Models. 5.2: Neuroids. 5.3: Timing. 6: Knowledge Representations. 6.1: Positive Knowledge Representations. 6.2: Vicinal Algorithms. 6.3: Frontier Properties and Storing New Items. 6.4: Frontier Properties and Associations. 6.5: Hashing. 7: Unsupervised Memorization. 7.1: An Algorithm. 8: Superivsed Memorization. 8.1: Introduction. 8.2: A Simple Algorithm. 8.3: A Second Algorithm. 9: Supervised Inductive Learning. 9.1: Introduction. 9.2: Pac Learning. 9.3: Learning Conjunctions. 9.4: Learning Disjunctions. 9.5: Learning Linear Threshold Functions. 10: Correlational Learning. 10.1: An Algorithm. 10.2: Computing with Numerical Values. 11: Objects and Relational Expressions. 11.1: Multiple Object Scenes. 11.2: Relations. 11.3: Timed Conjunctions. 11.4: Memorizing Expressions Containing Relations. 11.5: Memorizing New Relations. 11.6: Discussion. 12: Systems Questions. 12.1: Introduction. 12.2: General Organizational Principles. 12.3: Compatibility of Mechanisms. 13: Reasoning. 13.1: Introduction. 13.2: Relfex Reasoning. 13.3: Simple Reflex Reasoning. 13.4: Compound Reflex Reasoning. 13.5: Nonmonotonic Phenomena. 14: More Detailed Neural Models. 14.1: Implementing Vicinal Algorithms. 14.2: A Laminar Model. 14.3: A Columnar Model. 14.4: Sparser Random Graphs. 14.5: Another Columnar Model. 15: Afterword. Notes. Exercises. References. Index of Notation. Indexshow more

Review quote

"The book is written in a clear style, with a sufficient number of figures illustrating the algorithms. . .This new insight into complex problems of the brain, as well as the proposed methodology, makes the book highly readable and interesting." --Computing Reviews"The author shows that the proposed neuroidal model supports the cognitive activities he identifies. It provides a good structure to explore the functions of the mind still further." -- IEEE Spectrum"Although there are many books today dealing with a simple neuronal model based on the weighted sum principle, this one rises above these others in providing an explanation of cognitive functions." --Choiceshow more

Rating details

5 ratings
4.4 out of 5 stars
5 60% (3)
4 20% (1)
3 20% (1)
2 0% (0)
1 0% (0)
Book ratings by Goodreads
Goodreads is the world's largest site for readers with over 50 million reviews. We're featuring millions of their reader ratings on our book pages to help you find your new favourite book. Close X