Book Description
The brain is a fearsomely complex information-processing environment--one that often eludes our ability to understand it. At any given time, the brain is collecting, filtering, and analyzing information and, in response, performing countless intricate processes, some of which are automatic, some voluntary, some conscious, and some unconscious. Cognitive neuroscience is one of the ways we have to understand the workings of our minds. It's the study of the brain biology behind our mental functions: a collection of methods--like brain scanning and computational modeling--combined with a way of looking at psychological phenomena and discovering where, why, and how the brain makes them happen. Want to know more? Mind Hacks is a collection of probes into the moment-by-moment works of the brain. Using cognitive neuroscience, these experiments, tricks, and tips related to vision, motor skills, attention, cognition, subliminal perception, and more throw light on how the human brain works. Each hack examines specific operations of the brain. By seeing how the brain responds, we pick up clues about the architecture and design of the brain, learning a little bit more about how the brain is put together. Mind Hacks begins your exploration of the mind with a look inside the brain itself, using hacks such as "Transcranial Magnetic Stimulation: Turn On and Off Bits of the Brain" and "Tour the Cortex and the Four Lobes." Also among the 100 hacks in this book, you'll find:
- Release Eye Fixations for Faster Reactions
- See Movement When All is Still
- Feel the Presence and Loss of Attention
- Detect Sounds on the Margins of Certainty
- Mold Your Body Schema
- Test Your Handedness
- See a Person in Moving Lights
- Make Events Understandable as Cause-and-Effect
- Boost Memory by Using Context
- Understand Detail and the Limits of Attention
Steven Johnson, author of "Mind Wide Open" writes in his foreword to the book, "These hacks amaze because they reveal the brain's hidden logic; they shed light on the cheats and shortcuts and latent assumptions our brains make about the world." If you want to know more about what's going on in your head, then Mind Hacks is the key--let yourself play with the interface between you and the world.
Customer Reviews:
Interesting but disappointed.......2007-07-02
Learning about the mind is okay, but I didn't learn anything that I hadn't seen in Psych 101, and a few interesting articles later on.
Calling it a "hacks" book is false advertising, at best. Should it make it to another printing, I would hope O'Reilly would rename it.
The information seemed accurate, so I'll give it that.
Mind hacks.......2007-02-13
This is a really great book. More novelty than improvement, but still great. If you're looking for something that will be useful as well as attention grabbing then look for the second edition; "Mind Performance Hacks"
Not really a "hacks" book.......2006-11-02
I was sorely disappointed in this book--I checked it out from the local library and hoped that it would actually live up to the subtitle of including tips and tools for using my brain. It didn't; the few "tips" included were those that are found in virtually every other discussion of how to improve memory.
This book is more geared toward folks who are designing user interfaces--it talks about how the brain processes information (and thus describes ways to improve information conveyance).
Mind Hacks: Tips & Tools for Using Your Brain.......2006-07-25
It's a book very interested about language in mind and speech comprehension. I read a short comment in BBC Focus magazine and I wish to read because it's very easy to learn the misteries of mind in cognitive science applied to language and psichology.
A fun book.......2006-04-30
It is not a typical "hacks" book in that it does not tell you how to utilize you brain more effectively or do neat things. It *does* have a lot of exercises that show you cool things on how your brain works with sections describing how your brain works - and a number of experiments (blind spot, Magnet interaction with the brain, word parsing in the the mind, and so on). This book goes very well with a recent title called _Mind Wide Open_ by Steven Johnson.
If you want traditional "hacks" the book "Mind Performance Hacks" just came out, and is chock full of those sorts of experiments, while less informative, does do things like memory tricks, meath calculation, creativity enhancement and so on.
I view "Mind Hacks" as more informative, though, so would recommend this as the first one to get, though the next purchase in this should be the "Mind Performance Hacks."
Average customer rating:
- Great for Grads/Professional--confusing and convoluted for undergrad
- Best introduction to neural network models of cognitive processes
- A new paradigm
- A new paradigm
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Computational Explorations in Cognitive Neuroscience: Understanding the Mind by Simulating the Brain
Randall C. O'Reilly
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Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems
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ASIN: 0262650541 |
Book Description
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 Munakata over the past several years, provides an in-depth introduction to the main ideas in the field. The neural units in the simulations use equations based directly on the ion channels that govern the behavior of real neurons, and the neural networks incorporate anatomical and physiological properties of the neocortex. Thus the text provides the student with knowledge of the basic biology of the brain as well as the computational skills needed to simulate large-scale cognitive phenomena.
The text consists of two parts. The first part covers basic neural computation mechanisms: individual neurons, neural networks, and learning mechanisms. The second part covers large-scale brain area organization and cognitive phenomena: perception and attention, memory, language, and higher-level cognition. The second part is relatively self-contained and can be used separately for mechanistically oriented cognitive neuroscience courses. Integrated throughout the text are more than forty different simulation models, many of them full-scale research-grade models, with friendly interfaces and accompanying exercises. The simulation software (PDP++, available for all major platforms) and simulations can be downloaded free of charge from the Web. Exercise solutions are available, and the text includes full information on the software.
Customer Reviews:
Great for Grads/Professional--confusing and convoluted for undergrad.......2006-11-17
I am currently taking a honors psych class which utilizes this textbook as a lab handout (we solve the exercises closing out each chapter). I find this book very hard to read due to the language and the explanations the authors use to explain certain topics. The book reads more like a guide for those already familiar with the subject matter, and the questions closing out each chapter are even harder to understand than the chapter text itself. If the authors wish the book to be of any help to undergrads who are not already familiar with the topic they should take a step back and revise the text so that it is understandable for all. NOTE TO UA STUDENTS THINKING OF TAKING THE CLASS WHICH UTILIZES THIS BOOK
---->dont.
Best introduction to neural network models of cognitive processes.......2006-03-23
"Computational Explorations in Cognitive Neuroscience" provides a very readable overview of state-of-the-art neural network models for human cognition with an emphasis on both biological plausibility and experimental (psychological/cognitive) evidence.
A new paradigm.......2000-09-27
In this book, research themes, which include perception, memory, language as well as high-level cognition, are explained in terms of computation. Their theory is based on brain science, computer science, and psychology. Though the authors speculate about the functions of each part of the brain and the relation among them to some extent, the authors propose a new paradigm to existing sciences. Their integrative approach and method are very simulative, and I've got a lot of hints from this book. But I don't need the usageof particular software, PDP++ in such a theoretical book. The authors explain and demonstrate their models and theories using PDP++ at the end of each chapter. If you want to study how to use PDP++ as well as their theories, this book will be extremely good one.
A new paradigm.......2000-09-27
In this book, research themes including perception, memory, and language as well as high-level cognition are explained in terms of computation. Their theories are based on brain science, computer science, and psychology. Though the authors speculate about the functions of the brain and the relation among them to some extent, the authors propose a new paradigm to existing sciences. Their integrative approach and method are very simulative, and I've got a lot of hints from this book. But I don't need the usage of particular software, PDP++ in such a theoretical book. The authors explain and demonstrate their models and theories using PDP++ at the end of each chapter. If you want to study how to use PDP++ as well as their theories, this book will be truly excellent.
Customer Reviews:
A key work in Jaki's oeuvre.......2007-09-12
[I meant to rate this with 4 stars.]
If you read enough of Fr. Jaki's works, or at least enough of the right ones, you see certain themes emerge time and again. One of the most important of those "Jakian" themes is the irreducible ontological gap between "the quantitative and the qualitative." Fr. Jaki explicitly cites an early source for this distinction as Aristotle (cf. Categories 16a). What makes physics the chief of natural sciences is its ability (sometimes envy-producing for other sciences) to isolate minute areas of material reality and explain them to an exhaustive quantitative degree. However, given the gap between quantities and qualities, this limits physics to quantitative concerns (when physics brings in literally meta-physical perspectives and assumptions, it makes proper use of the realm of qualitative reality). Given the nature of reality, you could call physics the supreme, because supremely limited, science. The disparity between quantities and qualities is the thesis of Fr. Jaki's first book on the history of science, **The Relevance of Physics** (TRP, 1966), its relevance being but the narrowly defined flip-side of its Irrelevance in many areas of life, an irrelevance acknowledged by many of physics' brightest lights.
The quantity-quality theme is also the driving force behind **Brain, Mind and Computers** (BMC). Indeed, Jaki mentions he originally intended to make BMC a closing chapter of TRP, but, upon reading M. Taube's **Computers and Common Sense**, he decided the cognitive/AI issue needed a lengthier, manifold treatment on its own. Ideally, then, BMC should be read in conjunction with, and perhaps only shortly after, TRP. BMC originally (ca. 1969) consisted of four chapters (each averaging 160 footnotes) and an epilogue, but in 1989 Fr. Jaki reissued BMC with a new fifth chapter (sort of like H. Dreyfus did with his **What Computers STILL Can't Do**, though Fr. Jaki thinks not very highly of Dreyfus's phenomenological arguments against strong AI), so be sure you get the newer paperback edition from Regnery.
Not only as a "Jakian" Catholic myself, but also as a believer in academic rigor -- one of Jaki's great strengths -- I am constantly miffed and surprised not to see this book cited in the indices or bibliographies of books dealing with the philosophy of mind and cognitive sciences. (An exception is D. Hofstadter's annotated bibliography in **Gödel, Escher, Bach**, but even then he brushes BMC aside as mere polemics, albeit with some "interesting" points ... yet he never engages those interesting points.) Certainly BMC is dated in terms of its contemporary analysis of AI. Even so, the gaps it fills in the historical record and the emphasis it lays on key issues -- such as 1) the futility of a physicalist reduction of human consciousness, 2) the important (rather Gödelian) discrepancies between human cognition and computerization (i.e., between language-as-understood and terms as formally describable), and 3) the crucial difference between computational results and intellection per se (i.e., the immateriality of thought per se). This last point deserves some elaboration. To borrow one of Fr. Jaki's own metaphors, just as two rivers may combine molecules when they converge but do not thereby perform addition, as a formal mental operation, so a computer may produce an algorithmic solution without thereby grasping the problem. The immateriality of intellection is understood by Fr. Jaki in terms of all words being universals and all meaningful discourse being predicated on methodical realism.
For these reasons alone, BMC should not be so consistently ignored by supposedly well read scholars in the field. The praise the book earned when it first appeared, coupled with the status of its author, should make BMC more prevalent in the discussion, even if only as a matter of academic thoroughness. BMC should remain especially significant in the AI/cog-sci debates since it is argued in tandem with TRP, a book no scholar of science can do without reading.
Of course, I am inclined to believe that, despite his accolades on a formally academic level, the priestly collar so proudly worn around Fr. Jaki's neck has led, even if unconsciously, to chronic disparagement of him on a personal level, moreso than some academics might care to admit.
Works that could profitably be read with BMC include:
M. Adler's **The Difference of Man and the Difference It Makes**
M. Adler's **Intellect: Mind over Matter**
J. Maritain's **The Degrees of Knowledge**
E. Gilson's **Linguistics and Philosophy**
E. Gilson's **Methodical Realism**
M. Taube's **Computers and Common Sense**
S. Jaki's "The Brain-Mind Unity" (Real View Books pamphlet)
S. Jaki's **The Relevance of Physics**
J. Ross's "Immaterial Aspects of Thought" (available via JSTOR)
Reviews and descriptions from the cover of the paperback edition . . ........2006-02-27
In an age when computers make ever greater inroads into our everyday lives, well may we ask: Do computers have intelligence? Are they living? Have free will? Exercise moral judgments? Stanley L. Jaki, historian and philosopher of science, deals with these and related questions in Brain, Mind and Computers, a thoroughly documented rebuttal of contemporary claims about the existence of, or possibility for, man-made minds. His method includes a meticulously documented survey of computer development, a review of the relevant result of brain reseach, and an evaluation of accomplishment of physicalist schools in psychology, symbolic logic, and linguistics, and a thorough critique of claims about artificial intelligence.
Comments on the first edition:
"Dr. Jaki's book is the most informed, pentetrating and lucidly written treatment of the subject that I have read anywhere." Robert A. Nisbet, Professor Emeritus, Columbia University.
"Certainly it is rewarding and refreshing to read such penetrating criticism of a field in which gratuitous theorizing and dogmatism are able to flourish bcause our scientific understanding is so small." Sir John C. Eccles, Nobel Laureate, 1963.
"This is a book fascinating in style as well as content...which every scientist should read." Eugene P. Wigner, Nobel Laureate, 1963.
"Dr. Jaki presents a sustained, well-informed, and persuasive argument for mind-body dualism...my own predilections are exactly opposite to Dr. Jaki's conclusions, but I welcome his challenge..." Herbert Feigl, University of Minnesota
Book Description
Minds, Brains, Computers serves as both an historical and interdisciplinary introduction to the foundations of cognitive science.Tracing the history of central concepts from the nineteenth century to the present, this study surveys the significant contributions of philosophy, psychology, neuroscience, and computer science. The volume also investigates the theory of mind from two contrasting approaches: the digital computer vs. neural network models.Authoritative and comprehensive, this is the ideal text for introductory courses in cognitive science as well as an excellent supplementary text for courses in philosophy of mind.
Amazon.com
Chaos is cropping up everywhere these days. As it becomes ever more apparent that Newtonian mechanics is inadequate for modeling nonlinear systems, or systems that have too many degrees of freedom to handle easily, researchers in all fields are turning toward nonlinear dynamics as a refreshing alternative. This is a paradigm shift à la Kuhn, and Klaus Mainzer guides us through it with an astounding range of historical and scientific knowledge. From quantum physics to consciousness to economics, Mainzer shows us how thinking complexly can solve problems over which standard, linear thinking continually stumbles. Instead of simplifying, however, Mainzer revels in the complexity of complexity, so the reader should be prepared for advanced concepts in such varied fields as mathematics, physics, and economics. Difficult, but worthwhile reading.
Book Description
The theory of nonlinear, complex systems has become by now a proven problem-solving approach in the natural sciences. And it is now also recognized that many if not most of our social, ecological, economical and political problems are essentially of a global, complex and nonlinear nature. And it is now further accepted than any holistic perspective of the human mind and brain can hardly be achieved by any other approach. In this wide-ranging, scholarly but very concise treatment, physicist, computer scientist and philosopher Klaus Mainzer discusses, in essentially nontechnical language, the common framework behind these ideas and challenges. Emphasis is given to the evolution of new structures in natural and cultural systems and we are lead to see clearly how the new integrative approach can give insights not available from traditional reductionistic methods. The fifth edition enlarges and revises almost all sections and supplements an entirely new chapter on the complexity of economic systems.
From the reviews of the fourth edition:
"This book is ambitious, incredibly erudite with 22 pages of references, and is indisputably clearly and beautifully written and illustrated. It is perfectly suited to a first course on the science of complexity. Even beginners and young graduate students will have something to learn from this book." (Andre Hautot, Physicalia, Vol. 57 (3), 2005)
"All-in-all, this highly recommended book is a wonderful resource for intuitive basic ideas in the need of rigorous formulation." (Albert A. Mullin, Zentralblatt MATH, vol. 1046, 2004)
"Readers of this book will enjoy Mainzer's exposition, which is based on a tight coupling between classical and historical concepts from Plato and Aristotle to modern, mathematical and physical developments . Every chapter begins with a section designed to orient the reader to the perspective of philosophical developments through the ages pertinent to the topic at hand. The author takes pains to point out essential differences between classical science and the science of complexity.
Thinking in Complexity is an outstandingly readable book." (Anutosh Moitra, The Industrial Physicist, August/September, 2004)
Customer Reviews:
very difficult subject; but intriguing ideas.......2006-01-19
[A review of the 4th Edition, 2003.]
This book studies complexity and nonlinearity across a diverse range of applications. Much of the book revolves around organic evolution and the evolution of a sentient mind. And how complexity analysis might aid in the understanding of these fields. Not the least in devising deeper forms of artificial intelligence.
So intriguing techniques like cellular automata and neural networks are studied. There is a fair amount of speculation as to how these and other topics might ultimately relate to sentience or consciousness. But the musings are grounded in solid science. Like that of a Hopfield system or a Boltzmann machine. This 4th edition is a good reflection of the boundaries of our knowledge.
understandable highest level science with cultural backg.......1999-06-16
The book covers a broad field - all parts in close connection with the others and its background in modern science and historic cultural connotations. The theoretical aspects are merged with lively explanations. Readable for the non-specialist, understandable for the average science-educated and meaningful for the specilaists, both in physical systems science and in philosophy. A top-notch guide through this topic of multidisciplinary novelties.
Full but turgid catalogue of complexity phenomena.......1998-02-25
This book is an extremely well-informed cataloguing of the many areas of human experience in which self-organisation and complexity phenomena play an important role. However the writer's style becomes very heavy as a result of transferring German constructions into English - so much so that I was forced to skim read many sections.
Book Description
This book presents a vital resource -- a comprehensive interdisciplinary selection of seminal papers in the foundations of cognitive science, from leading figures in artificial intelligence, linguistics, philosophy, psychology, and neuroscience. The collection is organized around three broad conceptions of the mind: the mind as computer program, the mind as a neural network, and the mind as brain. Each category includes papers that articulate the conception in question, papers that illustrate it, papers that interpret or criticize it, and papers that provide necessary technical background. Finally, there is a section of classic papers on four broad questions which have shaped contemporary thinking in cognitive science: What is innate in the mind? Is the mind a seamless whole, or is it made up of independent modules that differ significantly from each other? Are our ordinary mental concepts, such as belief, desire, and intention, a good starting place for a scientific understanding of the mind, or are they artifacts of a pre-scientific conception that should be discarded? How should biology generally, and the evolution of animals in particular, constrain our theories about mental phenomena? Taken together, these papers give a sense of the history of the field as well as its contents by presenting the argumnets, models, data, and experiments that most crucially influence theory and practice in cognitive science.
Customer Reviews:
Scientific Study of Cognition Research.......2000-12-29
The book contains a sampling of original research papers of the histroy of the scientific study of congition.
Three sections include research on: Mind as Computer, Mind as Neural Network and Mind as Brain. Each section has well known authors: the two Churchlands, Chomsky, Putnam, Searle and (interestingly) Alan Turing. I have not see such an easy way to quickly find such diverse research on Cognative Science.
This research is generally "materialist" (e.g., scientific methods of observations are used to form theories) and a "dualist" (who believes mind is non-physical) will probably not agree with much of this scientific form of Philosophy of Mind.
I find this book useful for artificial intelligence research and design of future computers. Also, the ideas in the paper on *engrams* was used in science fiction's "Star Trek" to explain the (fictional) M-5 advanced computer. The book may also be found in the "Linguistics" section of book stores -- note Chomsky and Putnam both have several papers presented here.
The main reason why I can not give _five stars_ is because the most recent functional MRI papers are not included (although there are seven pared where MRI is mentioned. Yet, this is a "foundational history" book, not current research. Also, it is heavy in philosophy of Mind (good) and _not just_ pure science observation and explanatory theories only.
Average customer rating:
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Complexity Explained
Péter Érdi
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ASIN: 3540357777 |
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This book explains why complex systems research is important in understanding the structure, function and dynamics of complex natural and social phenomena. It illuminates how complex collective behavior emerges from the parts of a system, due to the interaction between the system and its environment. You will learn the basic concepts and methods of complex system research. It is shown that very different complex phenomena of nature and society can be analyzed and understood by nonlinear dynamics since many systems of very different fields, such as physics, chemistry, biology, economics, psychology and sociology etc. have similar architecture. “Complexity Explained†is not highly technical and mathematical, but teaches and uses the basic mathematical notions of dynamical system theory making the book useful for students of science majors and graduate courses, but it should be readable for a more general audience; actually for those, who ask: What complex systems really are?
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The Mind, the Brain, and Complex Adaptive Systems (Santa Fe Institute Studies in the Sciences of Complexity Proceedings)
Harold Morowitz
Manufacturer: Westview Press
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Hidden Order: How Adaptation Builds Complexity (Helix Books)
ASIN: 0201409860 |
Customer Reviews:
Good but dated.......2006-03-15
This is an interesting book, a compilation of papers presented in 1993, and, as a result, feels somewhat dated in 2006. The title gives one the sense that it will tackle the very difficult questions of mind and brain from the vantage point of complex adaptive systems. But many of the papers only approach that idea tangentially. The Santa Fe Institute is a terrific place, doing fascinating work, but this book did not live up to my expectations.
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Artificial Mind System: Kernel Memory Approach (Studies in Computational Intelligence)
Tetsuya Hoya
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ASIN: 3540260722 |
Book Description
This book is written from an engineer's perspective of the mind. "Artificial Mind System" exposes the reader to a broad spectrum of interesting areas in general brain science and mind-oriented studies. In this research monograph a picture of the holistic model of an artificial mind system and its behaviour is drawn, as concretely as possible, within a unified context, which could eventually lead to practical realisation in terms of hardware or software. With a view that "the mind is a system always evolving", ideas inspired by many branches of studies related to brain science are integrated within the text, i.e. artificial intelligence, cognitive science / psychology, connectionism, consciousness studies, general neuroscience, linguistics, pattern recognition / data clustering, robotics, and signal processing.
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