<< 1 >>
Rating: 
Summary: Excellent overview of the theory
Review: For anyone with a good background in math, particularly from an engineering background, this book presents a broad overview of the neurosciences in a very understandable format. In fact, the math overview is probably better than that found in many calculus textbooks and the Matlab disk would certainly save a lot of time for many common problems. Again, any readers with an engineering background (particularly mechanical or electrical) will find the math and results to be rather familiar.I suspect someone looking for another "popular science" book like Gleick's "Chaos" will be highly disappointed. This book is definitely structured for someone interested in pursuing study in the field. I hope that Wilson now moves on to expanding on the hints of philosophical thought he has listed here. Anyone familiar with nonlinear chaotic systems MUST have some understanding of the implications of their non-deterministic nature; certainly a quick reading of Jantsch or Prigogine would help too. As Wilson points out on page 184, chaos and free will may easily be tied to each other. Further study of Perlovsky's work (hopefully his book will be out soon too) will clarify many of the issues regarding neural net modeling and its philosophical implications. Certainly one can only wonder at Churchland's child-like beliefs that neural nets will resolve "folk psychology" and the fundamental questions of consciousness when confronted with nonlinear chaotic systems on the order of 10 the 10th order! Highly recommended.
Rating:
Summary: Excellent overview of the theory
Review: For anyone with a good background in math, particularly from an engineering background, this book presents a broad overview of the neurosciences in a very understandable format. In fact, the math overview is probably better than that found in many calculus textbooks and the Matlab disk would certainly save a lot of time for many common problems. Again, any readers with an engineering background (particularly mechanical or electrical) will find the math and results to be rather familiar. I suspect someone looking for another "popular science" book like Gleick's "Chaos" will be highly disappointed. This book is definitely structured for someone interested in pursuing study in the field. I hope that Wilson now moves on to expanding on the hints of philosophical thought he has listed here. Anyone familiar with nonlinear chaotic systems MUST have some understanding of the implications of their non-deterministic nature; certainly a quick reading of Jantsch or Prigogine would help too. As Wilson points out on page 184, chaos and free will may easily be tied to each other. Further study of Perlovsky's work (hopefully his book will be out soon too) will clarify many of the issues regarding neural net modeling and its philosophical implications. Certainly one can only wonder at Churchland's child-like beliefs that neural nets will resolve "folk psychology" and the fundamental questions of consciousness when confronted with nonlinear chaotic systems on the order of 10 the 10th order! Highly recommended.
Rating:
Summary: Foundation
Review: This book is beyond a doubt the foundation to a new approach. While too many of todays science books say me too, or action figure sold seperately this book is the action figure. Including Matlab linked library. As a student of chaos theory with a strong backround in the biological sciences imagine the warm and fuzzy feeling of seeing things involving chaos theory I had suspected in cognitive neuroscience but, not having the access to prove. Although the stronger the math backround the richer the text, Wilson's command of his subject guides the reader through 2 years of differential equations and feedback and control theory in 3 of the best written chapters I have come accross in major texts. Then just to make sure everyone is reading from the same sheet of music, he heads to, what is for me at least, the Grand Unification Theory. The difficulty is presenting this type of material in cohesive body should make this the basic text for future research in biomeimetic materials,nonlinear neurodynamics, biopharmaceuticals, and neural nets. As an example on page 126 Wilson has already anticipated my question of toroidial limit cycles saving long hours of computer simulations proving and disproving compatiblilies. Virtually all of the material is translatable to other computer math systems (Mathcad) since the book includes the formulas.
Rating:
Summary: Good
Review: this book useful nonlinear analisys neuroscience part.
but you have not mathmatics knowledge, you think this book so difficult.
<< 1 >>
| 
