Description
Book SynopsisDetails a computational approach to studying the intricate workings of the human brain. Focusing on the brain's enigmatic ability to access quickly a massive store of accumulated information during reasoning processes, the author asks how such feats are possible.
Trade ReviewThe 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. * IIEEE 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. * Choice *
Delivers what its title promises, and more: an engaging, broad, thorough, and often deep, development of undergraduate complex analysis and related areas (non-Euclidean geometry, harmonic functions, etc.) from a geometric point of view. The style is lucid, informal, reader-friendly, and rich with helpful images (e.g., the complex derivative as an "amplitwist"). A truly unusual and notably creative look at a classical subject. * American Mathematical Monthly *
Table of Contents1. The Approach ; 2. Biological Constraints ; 3. Computational Laws ; 4. Cognitive Functions ; 5. The Neuroidal Model ; 6. Knowledge Representation ; 7. Unsupervised Memorization ; 8. Supervised Memorization ; 9. Supervised Inductive Learning ; 10. Correlational Learning ; 11. Objects and Relational Expressions ; 12. Systems Questions ; 13. Reasoning ; 14. More Detailed Neural Models ; 15. Afterword
