Circuits of the Mind

Circuits of the Mind

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Description

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 questions.show 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

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5 ratings
4.4 out of 5 stars
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3 20% (1)
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