Book Description
This clear and accessible textbook introduces students to the brain's remarkable capacity for memory. It begins with a history of thinking and research on the biological bases of memory, highlighting discoveries about the brain made in a "Golden Era" of neuroscience around the turn of the 20th century. This is followed by presentation of our current understanding of the neurobiology of memory, organized into sections corresponding to the book's four major themes. The first is Connection, and it considers how memory is based on alterations in the communication between nerve cells. Research on the physiology and biochemistry of neurons has revealed a cascade of molecular events and structural changes that enhance or weaken the connectivity of nerve cells in support of memory. The second theme is Cognition, which considers the psychological structure of memory. Early work on this topic involved controversy over the basic cognitive processes that underlie memory, and modern research has shown that these characterizations reflect distinctions among qualitatively different forms of memory. The third theme is Compartmentalization, the notion that the different forms of memory are accomplished by distinct brain systems. Recent research has revealed parallel memory systems that separately mediate our ability for conscious recollection, our capacity to acquire skills and habits, and our acquisition of emotional attachments and aversions. The fourth theme is Consolidation, the process by which memories are transformed from a labile trace into a permanent store. Scientists have shown that there are two distinct stages in memory consolidation, one involving cellular mechanisms that underlie a fixation of changes in the neuronal connection strengths and the other involving a reorganization and restruction of the circuits that store and retrieve memories. The book assumes little background knowledge from biology or psychology, and is intended as a text for use in undergraduate courses on memory and cognitive science, and for early graduate students in neuroscience, cognitive science, or biology. It encapsulates the major concepts in the field, and makes this area of research accessible to students who pursue a variety of related disciplines.
Average customer rating:
- Wonderful Book!
- Stimulating introduction and review of ICA
- Outstanding
- The best introduction on the subject
- James Stone's monograph: 'Independent Component Analysis'
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Independent Component Analysis: A Tutorial Introduction (Bradford Books)
James V. Stone
Manufacturer: The MIT Press
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Independent Component Analysis
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ASIN: 0262693151 |
Book Description
Independent component analysis (ICA) is becoming an increasingly important tool for analyzing large data sets. In essence, ICA separates an observed set of signal mixtures into a set of statistically independent component signals, or source signals. In so doing, this powerful method can extract the relatively small amount of useful information typically found in large data sets. The applications for ICA range from speech processing, brain imaging, and electrical brain signals to telecommunications and stock predictions.
In Independent Component Analysis, Jim Stone presents the essentials of ICA and related techniques (projection pursuit and complexity pursuit) in a tutorial style, using intuitive examples described in simple geometric terms. The treatment fills the need for a basic primer on ICA that can be used by readers of varying levels of mathematical sophistication, including engineers, cognitive scientists, and neuroscientists who need to know the essentials of this evolving method.
An overview establishes the strategy implicit in ICA in terms of its essentially physical underpinnings and describes how ICA is based on the key observations that different physical processes generate outputs that are statistically independent of each other. The book then describes what Stone calls "the mathematical nuts and bolts" of how ICA works. Presenting only essential mathematical proofs, Stone guides the reader through an exploration of the fundamental characteristics of ICA.
Topics covered include the geometry of mixing and unmixing; methods for blind source separation; and applications of ICA, including voice mixtures, EEG, fMRI, and fetal heart monitoring. The appendixes provide a vector matrix tutorial, plus basic demonstration computer code that allows the reader to see how each mathematical method described in the text translates into working Matlab computer code.
Customer Reviews:
Wonderful Book!.......2007-08-16
Eases the reader gradually through the foundations of ICA and treats various published methods in a contrasting manner. No other reference is needed while reading the book; he even gives the pronounciation of some of the greek letters in footnotes.
Stimulating introduction and review of ICA.......2007-07-03
This excellent book introduces the reader in the field of Independent Component Analysis providing the necessary fundamentals to understand and apply the different methods. The book also makes interesting links to other techniques. The author has succeeded at writing a very didactic text, not an easy task given the complexity of the matter, and at transmitting his enthusiasm to the reader.
I've enjoyed this book, which has been not only an introduction to ICA but which has brought me into ICA, stimulating my own experimentation with the technique.
Outstanding.......2006-11-27
Without this book I would never have understood the basics and finesses of ICA. Even if readers ar highly skilled in math reading this book will set out mile'stones' that will enhance the understanding of the ICA- problem, -tools and -possibilities.
Dr. G. Otte
The best introduction on the subject.......2006-05-05
I can't stress how reader friendly this book is. It is by far the best introduction on component analysis. It is written in such a way that those with a weaker math background can understand it while those with years of experience will not be bored, at certain times it even reads like a story.
It addition to being readable the book contains an impressive amount of content for its size. This content is presented in an organized manner, and in such a way that the user can immediately apply the techniques to their own problems.
If you are interested in independent component analysis or one of its relatives I highly recommend this valuable, reasonably price book.
James Stone's monograph: 'Independent Component Analysis'.......2006-01-10
James Stone's monograph is a refreshing new book amongst the many other `new books' on Independent Component Analysis (ICA). The author brings his teaching experience to present the theory and practice of ICA in a highly accessible form using a duplication of words and straight-forward mathematics.
Particular attention is given in the earlier chapters to the description of the linear signal mixing process giving the Reader a good basis for understanding the fundamental assumptions upon which ICA and its application to Blind Source Separation are based.
The book is aimed at the Reader with a technical but not necessarily formal mathematics background. Illustrative examples and functional algorithms in MatLab are frequent and references are made to the author's available electronic resources. As such it is suitable to both the newcomer to ICA, and to the more expert engineer or scientist.
This Reviewer rates this book very highly.
Book Description
Mindware: An Introduction to the Philosophy of Cognitive Science invites readers to join in up-to-the-minute conceptual discussions of the fundamental issues, problems, and opportunities in cognitive science. Written by one of the most renowned scholars in the field, this vivid and engaging introductory text relates the story of the search for a cognitive scientific understanding of mind. This search is presented as a no-holds-barred journey from early work in artificial intelligence, through connectionist (artificial neural network) counter-visions, and on to neuroscience, artificial life, dynamics, and robotics. The journey ends with some wide-ranging and provocative speculation about the complex coadaptive dance between mind, culture, and technology. Each chapter opens with a brief sketch of a major research tradition or perspective, followed by short yet substantial critical discussions dealing with key topics and problems. Ranging across both standard philosophical territory and the landscape of cutting-edge cognitive science, Clark highlights challenging issues in an effort to engage readers in active debate. Topics covered include mental causation; machine intelligence; the nature and status of folk psychology; the hardware/software distinction; emergence; relations between life and mind; the nature of perception, cognition, and action; and the continuity (or otherwise) of high-level human intelligence with other forms of adaptive response. Numerous illustrations, text boxes, and extensive suggestions for further reading enhance the text's utility. Helpful appendices provide background information on dualism, behaviorism, identity theory, consciousness, and more. An exceptional text for introductory and more advanced courses in cognitive science and the philosophy of mind, Mindware is also essential reading for anyone interested in these fascinating and ever-changing fields.
Customer Reviews:
Great Overview of Cognitive Science.......2004-01-29
This book was recommended to me by a cognitive scientist researcher at my university as the single best thing I could read to obtain an up-to-date overview of what's going on in cognitive science. The book lived up to this promise. I found it an excellent, scientifically and philosophically informed, treatment of this topic.
Average customer rating:
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Cognitive Science: A Philosophical Introduction
Rom Harre
Manufacturer: Sage Publications
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ASIN: 0761947477 |
Book Description
This is the first major text to offer a truly comprehensive review of cognitive science in its fullest sense. Ranging from artificial intelligence models of neural processes and cognitive psychology to recent discursive and cultural theories, Rom Harré offers an original yet accessible integration of the field. At its core, this textbook addresses the question 'How can psychology become a science?'. The answer is based on a clear account of method and explanation in the natural sciences and how they can be adapted to psychological research.
Rom Harré has used his experience of both the natural and the human sciences to create a text on which exciting and insightful courses can be built in many ways. The text is based on the idea that underlying the long history of attempts to create a scientific psychology there are many unexamined presuppositions that must be brought to light. Whether describing language, categorization, memory, the brain or connectionism the book always links our intuitions about how we think, feel and act in the contexts of everyday life to the latest accounts of the neural tools with which we accomplish the cognitive tasks demanded of us. Computational and biological models are used to link the discursive analysis of everyday cognition to the necessary activities of the brain and nervous system.
Fluently written and well structured, this is an ideal text for students who want to gain a comprehensive view of the current state of the art with its seeming divergence into studies of meanings and studies of neurology. The book is divided into four basic modules, with suggestions for three lectures in each. The plan is related to the overall pattern of the semester programme. The reader
is guided with helpful learning points, sections of study questions for review, and key readings for each chapter.
Cognitive Science: A Philosophical Introduction, with its remarkable sweep of themes, past and present, truly introduces 'the science of the mind' for a new generation of psychology students.
Cognitive Science should be indispensable reading for students at all levels taking courses in cognitive science and cognitive psychology, and useful additional course reading in other areas such as social psychology, artificial intelligence, philosophy of the mind and linguistics.
Key Points
· First major textbook to provide a link between computational, philosophical and biological models in an accessible format for students. Presents a new vision of psychology as a scientific discipline.
· Breadth of coverage - ranging from artificial intelligence, to key themes & theories in cognitive science (past and present) - language, memory, the brain and behaviour - to recent discursive and cultural theories.
· Plenty of student features to help the student and tutor including helpful learning points, study and essay questions and key readings at the end of every chapter.
Customer Reviews:
An Absolute Delight.......2004-04-21
I was lucky enough to have Rom Harre teach me, using this book as the main text. The book's organization and easy-to-grasp, engaging explanations will give the reader a good understanding of a hard, yet fascinating topic. Buy it, even if you don't think you're smart enough to understand the most complex machine in the (known) universe; you'd be surprised what a good teacher can do.
Book Description
A textbook for psychology, neuroscience, pre-medical students, and everybody interested in the neuroscience of cognition.
A wave of new research is transforming our understanding of the human mind and brain. Many educational fields now require a basic understanding of the new topic of cognitive neuroscience. However, available textbooks are written more for biology audiences than for psychology and related majors. This text aims to bridge that gap. A background in biology of neuroscience is not required. The thematic approach builds on widely understood concepts in psychology, such as working memory, selective attention, and social cognition. Edited by two leading experts in the field, the book guides the reader along a clear path to understand the latest findings.
A support website at http://textbooks.elsevier.com provides all figures in electronic format with export to Powerpoint, as well as supplementary material including movies and support material for teachers and students.
(note: support website will be available after June 10, 2007)
FEATURES
* Written specifically for psychology, pre-medical, education and neuroscience undergraduate and graduate students
* The thematic approach builds on on accepted concepts, not presuming a background in neuroscience or biology
* Ancillary material includes a companion website and Learning Guide for students
* Includes two Appendices on brain imaging and neural networks written by Thomas Ramsoy and Igor Aleksander
* Introduces the brain in a step-by-step, readable style, with gradually increasing sophistication
* Richly illustrated in full color with clear and detailed drawings that build the brain from top to bottome, simplifying the layout of the brain for students
* Pedagogy includes exercises and study questions at the end of each chapter, including drawing exercises
* Written specifically for psychology, pre-medical, education and neuroscience undergraduate and graduate students
* The thematic approach builds on on accepted concepts, not presuming a background in neuroscience or biology
* Ancillary material includes a companion website and Learning Guide for students
* Includes two Appendices on brain imaging and neural networks written by Thomas Ramsoy and Igor Aleksander
* Introduces the brain in a step-by-step, readable style, with gradually increasing sophistication
* Richly illustrated in full color with clear and detailed drawings that build the brain from top to bottome, simplifying the layout of the brain for students
* Pedagogy includes exercises and study questions at the end of each chapter, including drawing exercises
Customer Reviews:
Advanced introductory text.......2007-09-06
Yes this is an introductory text with the necessary starting points on the origins, importance of, and framework for studying cognitive neuroscience. And like introductory texts on neuroscience, it breaks down brain functions into separate chapters (e.g., vision, hearing, language, memory). But that's where the similarities with typical texts end. None of the chapters are dry; there is typically a conversational tone and always, a focus on the big picture - how the mind works. They add just enough clinical data and interesting asides to enrich the material without bogging it or the reader down. There is no skimping on illustrations and imaging and this enhances the material even further. The end result is that by the end of each chapter you know the material very well and wouldn't you know it, you've started thinking about how the mind really works and some of the philosophical implications of brain function. That's more than I expect from most textbooks, so I think the authors are being a bit modest in calling this book an introduction to cognitive neuroscience; it is that and much more.
Fine writing and brilliant ideas.......2007-07-13
I am a clinical psychiatrist and neuroscience aficionado who happens to be friends with one editor and one writer of COGNITION, BRAIN, AND CONSCIOUSNESS. Naturally, nothing in my social relationships with these two principles will influence in the least my objective and judicious review of this volume.
Ah, this last sentence! Do you think it is likely to be true or false or somewhere in between? The current scientific understanding of these kind of cognitive ambiguities, and a plethora of other topics, is well served in this uniformly careful account of contemporary studies of mind and brain. As Dr. Baars asserts in the Preface, modern neuroscience is a "marriage of the cognitive and brain sciences". Identify some of the many academic disciplines attending the wedding party, and you will find, among the usual suspects, some brand-new, still wet behind the ears areas of study like neurotheology, theoretical neurobiology and array tomography. How will they ever communicate with the reader? Fortunately, the two editors qua event planners are more than up to the task and express in clear sentences the broad themes emerging from the multi-disciplinary babel.
The textbook's organization follows a conventional course in order to follow "the gentlest learning curve possible":
Mind and brain - Bernard J. Baars.
A framework - Bernard J. Baars.
Neurons and their connections - Bernard J. Baars.
The tools: Imaging the living brain - Bernard J. Baars and Thomas Ramsoy.
The brain - Bernard J. Baars.
Vision - Frank Tong and Joel Pearson.
Hearing and speech - Nicole M. Gage.
Attention and consciousness - Bernard J. Baars.
Learning, memory and knowledge - Morris Moscovitch, Jason M. Chein, Deborah Talmi, and Melanie Cohn.
Thinking and Problem Solving - Bernard J. Baars.
Language - Bernard J. Baars.
Goals, executive control, and action - Elkhonon M. Goldberg and Dmitri H. Bougakov.
Emotion - Katharine McGovern.
Social Cognition: Perceiving the mental states of others - Katharine McGovern.
Development - Nicole M. Gage and Mark H. Johnson.
Appendices.
A. Neural Models: a Route to Cognitive Brain Theory - Igor Aleksander.
B. Methods for observing the living brain - Thomas Ramsoy, Daniela Balslev, and Olaf Paulson.
The 16 authors of these chapters bring not only outstanding expertise but scholarly passion to their subjects. The two editors have done a masterful job insuring the writing is done at similar levels of detail and generalization, helped by the fact that the senior editor wrote seven and co-authored one of the 15 chapters. Fortunately, Dr. Baars' writing (he is well known as the author of A COGNITIVE THEORY OF CONSCIOUSNESS) remains among the best organized and most lucid of modern neuroscientists.
The book pays homage to William James. In 1890, James was a committed empiricist with command of the then-current literature of the emerging field of scientific psychology. The page in the Reference section of CBC which begins with James' own THE PRINCIPLES OF PSYCHOLOGY lists 43 texts, 26 of which were published during or after the year 2000. By extension, this means that 600 of the 1000 citations are less then seven years old. In the book world, that's as current as it gets. Following now standard practice, the book supervenes on a supportive website - textbooks.elsevier.com - which provides all figures in electronic format with export to Powerpoint, as well as supplementary material including movies.
Throughout the book, numerous depictions of difficult concepts approach pedagogical perfection. For example, Baars invites the reader to "grow a brain" and proceeds, through a series of pictures and discussion, to introduce the fundamental features of brain anatomy. By sequentially meeting the major landmarks through cartoons - brainstem, pons, thalami, hippocampus, amygdale, ventricles, basal ganglia, fiber tracts, cerebellum and cortex - the reader is enabled intuitively (subliminally?) to build a brain representation which sticks in the memory.
I reckon the volume aims to be THE primary textbook in cognitive neuroscience, the canonical statement, as it were. I think it makes a good beginning toward that end. But consider. The most widely used textbook in pharmacology is Hardman. Limbard and Gilman's THE PHRAMACOLOGICAL BASIS OF THERAPEUTICS. My tenth edition weighs in at 2148 pages. In computational neuroscience, it's Arbib's HANDBOOK OF BRAIN THEORY AND NEURAL NETWORKS, 1290 pages. In basic physics I will go with THE FEYNMAN LECTURES ON PHYSICS. The pages aren't sequentially numbered, but there are three volumes making, I would guess, around 1500 pages.
This poor text is a puny 546 pages. However, the baby is so brilliant and beautiful, I pray that in the second edition there is a more complete account. Here is what is needed:
* A section which maps the entire landscape of mind-brain studies, allowing the reader to see clearly where cognitive neuroscience is located.
* A chapter on neurochemistry and neuropharmacology.
* A chapter on the cognitive unconscious and context.
* A chapter on how the brain does mathematics and music.
* A chapter on the paranormal and the brain (just because people are always asking).
* A chapter on play, fun, humor, altruism, cooperation, creativity.
* A chapter on evolutionary neuroscience.
* A chapter on spiritual experiences and the brain. (Still following the lead of William James.)
* A chapter on consciousness.
* A chapter devoted to current attempts at "whole brain" theories.
* A section on what's hot in current research and what's needed.
In summary: COGNITION, BRAIN, AND CONSCIOUSNESS provides a somewhat curtailed overview of the emerging science of mind and brain. It is accessible to students and interested readers at all levels. It is beautifully illustrated and pedagogically advanced. It is the best of its kind now available.
Overall, the best book I've read on the subject........2007-06-17
I couldn't agree more with the editorial reviews of this book. It is excellent!
I'm reading the book just out of interest in the subject matter and I'm not involved professionally with neurology. I have recently read several books on the topic though and that list would include:
. Mapping the Mind - Rita Carter's excellent survey of brain functions (similar in some ways to this book and really excellent!).
. Exploring Consciousness - Another very good Rita Carter text.
. The Neuron - Cell and Molecular Biology - Irwin Levitan and Leonard K Kaczmarek's 500+ page non-light reading but fascinating book on neurons.
. Quest for Consciousness - Christopher Koch's (and Francis Crick's) insightful search for the neural correlates of consciousness.
. Wider Than The Sky - Gene Edelman's equally fascinating perspective on the same type of research.
. In Search of Memory - Eric Kandel's part autobiography, part neurology book.
. Etc.
Each of those books were wonderful and I plan on going back and reading them again just to see how my perspective has changed from what I've learned since the last time. But, if I had to pick one book to provide a survey of how the brain is organized and functions I believe this is the book I would chose. It is actually the first textbook I can remember reading in the past 40 years but it didn't remind me of the textbooks of that era.
Cognition, Brain, and Consciousness has the following assets:
. It is well organized and well indexed.
. The writing style seems to take advantage of the authors' understanding of the learning process.
. It provides more than a casual introduction to each of the topics it covers.
. I thought it provided a balanced view of conflicting theories and approaches, giving the pros and cons of each.
. The book is extremely well illustrated throughout. Each illustration seems very thoughtfully composed and selected.
. It should, as the editorial reviews suggest, appeal to a range of readers from "student through established researcher."
There are some typographical problems but they are minor (e.g. References to Appendix C - which doesn't exist). I ordered the book before its release date and actually received it before June 11th so I can imagine typos happening. There appears to be extensive support for the material on the publisher's website but I haven't checked that out as yet.
So I'm really writing this to thank the Bernard Baars and Nicole Gage for providing such amazing material. It is really outstanding and even though it is expensive I would say without hesitation that it is more than worth its price!
Book Description
Cognitive science approaches the study of mind and intelligence from an interdisciplinary perspective, working at the intersection of philosophy, psychology, artificial intelligence, neuroscience, linguistics, and anthropology. With Mind, Paul Thagard offers an introduction to this interdisciplinary field for readers who come to the subject with very different backgrounds. It is suitable for classroom use by students with interests ranging from computer science and engineering to psychology and philosophy.
Thagard's systematic descriptions and evaluations of the main theories of mental representation advanced by cognitive scientists allow students to see that there are many complementary approaches to the investigation of mind. The fundamental theoretical perspectives he describes include logic, rules, concepts, analogies, images, and connections (artificial neural networks). The discussion of these theories provides an integrated view of the different achievements of the various fields of cognitive science.
This second edition includes substantial revision and new material. Part I, which presents the different theoretical approaches, has been updated in light of recent work the field. Part II, which treats extensions to cognitive science, has been thoroughly revised, with new chapters added on brains, emotions, and consciousness. Other additions include a list of relevant Web sites at the end of each chapter and a glossary at the end of the book. As in the first edition, each chapter concludes with a summary and suggestions for further reading.
Customer Reviews:
CRUM: Computational Representational Understanding of the Mind.......2006-01-31
The linguistic-analysis tradition in philosophy had achieved ascendancy in twentieth-century philosophy of science. But it has been characterized by a nominalist view, which admits a two-level semantics consisting of only (1) the linguistic symbol, such as word, and (2) the objects or individual entities the symbol references. Nominalism recognizes no mediating third level consisting of the idea, concept, "intension", proposition, or any other mental reality between linguistic signs and nonlinguistic objects.
The two-level semantics is also the view typically held by the Positivist philosophers, who rejected mentalism in psychology, and who like B.F. Skinner prefer behaviorism. However Thagard, like Herbert Simon, explicitly rejects the behavioristic approach in psychology and advocates cognitive psychology, which recognizes mediating mental realities.
The two-level semantics is also characteristic of philosophers such as Quine who accept the Russellian predicate calculus. This calculus of symbolic logic contains a notational convention that uses quantification to express existence claims. It therefore fabricates an Orwellian-like nominalist newspeak in which predicate terms are semantically vacuous, unless they are placed in the range of quantifiers, such that they reference some kind of entities called either "mental entities" or Platonic "abstract entities." The philosopher Nelson Goodman for example therefore divides all philosophers into nominalists and Platonists. Not surprisingly the Russellian symbolic logic was adopted by the Logical Positivists. Oddly Thagard does not reject the Russellian symbolic logic, although it is not clear that he recognizes the ontological implications of its notational conventions.
In this book, Mind: Introduction to Cognitive Science (1996), intended as an undergraduate textbook, Thagard states that the central hypothesis of cognitive science is that thinking can best be understood in terms both of representational structures in the mind and of computational procedures that operate on those structures. He labels this central hypothesis with the acronym "CRUM", by which he means "Computational Representational Understanding of Mind." This hypothesis assumes that the mind has mental representations analogous to data structures and computational procedures analogous to algorithms, such that computer programs using algorithms applied to data structures can model the mind and its processes.
Readers interested in more commentary on Thagard are invited to read my book titled History of Twentieth-Century Philosophy of Science at my web site philsci with free downloads. See especially BOOK VIII.
Thomas J. Hickey
Average customer rating:
- Great intro to the subjective human perception of sound
- keep it clear, simple and efficient!
- Fantastic
- Self-Study in Psychoacoustics
- A great place to start.
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Music, Cognition, and Computerized Sound: An Introduction to Psychoacoustics
Perry R. Cook
Manufacturer: The MIT Press
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ASIN: 0262531909 |
Book Description
How hearing works and how the brain processes sounds entering the ear to provide the listener with useful information are of great interest to psychologists, cognitive scientists, and musicians. However, while a number of books have concentrated on individual aspects of this field, known as psychoacoustics, there has been no comprehensive introductory coverage of the multiple topics encompassed under the term. Music, Cognition, and Computerized Sound is the first book to provide that coverage.
The book begins with introductory chapters on the basic physiology and functions of the ear and auditory sections of the brain, then proceeds to discuss numerous topics associated with the study of psychoacoustics, including cognitive psychology and the physics of sound. The book has a particular emphasis on music and computerized sound. An accompanying CD-ROM includes many sound examples to help explicate the text.
Customer Reviews:
Great intro to the subjective human perception of sound.......2006-12-09
Developed from a series of lectures at the Stanford Center for Computer Research in Music and Acoustics (CCRMA), this book offers a coherent panorama of the field of psychoacoustics as it pertains to music and computerized sound. The authors-among them Max Mathews, Roger Shepard, John Chowning, and John Pierce-are recognized authorities in the field of computer synthesized sound and the nature of acoustical and musical perception. The CD-ROM contains audio samples for each chapter, plus source code for all the samples.
Although it is specifically intended as a course book for psychoacoustics, with a closing chapter on the effective design of experiments and an appendix of exercises, this book should prove valuable to a wide audience. Computers provide what seems the ultimate level of control over sound synthesis, but it is often hard to know where to begin. Anyone who has ever confronted the problem of determining which parameters of a synthesized sound are acoustically perceptible or meaningful will appreciate the clarity with which the introductory chapters distinguish the physical parameters of sound from the perception of sound. Building on established research into the fundamentals of acoustic perception, the book proceeds to more complex issues of voice articulation and synthesis, perceptual streaming, musical memory, and the haptics of sound production. Computer musicians will find material to suggest diverse directions for experimentation. Multimedia artists working with sound will discover new methods for generating sounds, with the potential for weaning themselves from straight playback of sampled sound and working with real time synthesis. Some of the perceptual effects documented in the text and audible on the CD are remarkable in themselves, such as Shepard and Risset tones, or the complex effects of perceptual streaming. The level of detail of many of the chapters is sufficient, particularly when supplemented by the source code, to get you started in a variety of sound synthesis techniques. The brief list of bibliographic references at the end of each chapter will lead you onwards.
While this book is most valuable as a guide to the uses of state-of-the-art technology for acoustic research, it also sheds light on how human cognitive abilities shape musical structures. Choices of rhythm, melodic variation, chord structure, timbre, orchestration, and even the evolution of musical styles over time have some of their reasons in the nature of the human auditory system. A welcome result of reading this book may be that the reader learns to hear natural and musical sounds with a new appreciation of the complex dynamics of sound production, sound perception, and the inner logic of music.
If you are interested in the signal processing end of psychoacoustics, I recommend you read "Signals, Sound, and Sensation" by Hartmann after you finish this book.
keep it clear, simple and efficient!.......2006-03-16
If you are interested in the filed of psychoacoustic, this book provides great informations and is written in a easy comprehensible manner. We used that book in my psychoacoustic class at university and even if I was not familiar with this subject, I learned a lot and enjoyed reading it. The book comes with a cd of audio exemples that follows the book.
Fantastic.......2005-02-25
Very enjoyable, very entertaining and an interesting reading. The opening chapter by Max Mathews is a lovely opener puts he reader at ease immeadiately. My first book on physco-acoustics and to be honest I am glad. I have read other books on the subject since then but this is still my favourite. Well worth the money.
Self-Study in Psychoacoustics.......2004-10-11
This book is great for self-study in psychoacoustics or for reviewing the basics of related fields. One of the best parts is the list of recommended experiments in the back of the book. These really help to keep the information in the respective sections from the realm of abstract pendanticism. This is the book that is assigned to the Psychoacoustics course at CCRMA (Stanford) and is laid out in an easy-to-follow, instructive way. One of the best entry-level texts on the subject.
A great place to start........2000-03-14
Simply a great book to "start" your research. Excellent bibliography, and very very important contributors (those who have made the history of CM). I have bought another couple of books on this subject, however this is the most balanced one. Make sure you read the book by Bregman and Fastl & Zwicker (if your a tech head) once you're finished with this one.
Book Description
The areas of natural language processing and computational linguistics have continued to grow in recent years, driven by the demand to automatically process text and spoken data. With the processing power and techniques now available, research is scaling up from lab prototypes to real-world, proven applications.
This book teaches the principles of natural language processing, first covering linguistics issues such as encoding, entropy, and annotation schemes; defining words, tokens and parts of speech; and morphology. It then details the language-processing functions involved, including part-of-speech tagging using rules and stochastic techniques; using Prolog to write phase-structure grammars; parsing techniques and syntactic formalisms; semantics, predicate logic and lexical semantics; and analysis of discourse, and applications in dialog systems. The key feature of the book is the author's hands-on approach throughout, with extensive exercises, sample code in Prolog and Perl, and a detailed introduction to Prolog. The reader is supported with a companion website that contains teaching slides, programs, and additional material.
The book is suitable for researchers and students of natural language processing and computational linguistics.
Customer Reviews:
This book is going to be a classic !!.......2006-10-10
This is a wonderful, code rich, book on language processing for computational linguists and language engineers. It is both theory and example rich with considerable detail throughout. The book is clearly written and very well structured!!
Highly recommended!
Book Description
An Introduction to Neural Networks falls into a new ecological niche for texts. Based on notes that have been class-tested for more than a decade, it is aimed at cognitive science and neuroscience students who need to understand brain function in terms of computational modeling, and at engineers who want to go beyond formal algorithms to applications and computing strategies. It is the only current text to approach networks from a broad neuroscience and cognitive science perspective, with an emphasis on the biology and psychology behind the assumptions of the models, as well as on what the models might be used for. It describes the mathematical and computational tools needed and provides an account of the author's own ideas.
Students learn how to teach arithmetic to a neural network and get a short course on linear associative memory and adaptive maps. They are introduced to the author's brain-state-in-a-box (BSB) model and are provided with some of the neurobiological background necessary for a firm grasp of the general subject.
The field now known as neural networks has split in recent years into two major groups, mirrored in the texts that are currently available: the engineers who are primarily interested in practical applications of the new adaptive, parallel computing technology, and the cognitive scientists and neuroscientists who are interested in scientific applications. As the gap between these two groups widens, Anderson notes that the academics have tended to drift off into irrelevant, often excessively abstract research while the engineers have lost contact with the source of ideas in the field. Neuroscience, he points out, provides a rich and valuable source of ideas about data representation and setting up the data representation is the major part of neural network programming. Both cognitive science and neuroscience give insights into how this can be done effectively: cognitive science suggests what to compute and neuroscience suggests how to compute it.
Customer Reviews:
Not Practical.......2004-11-14
There's nothing really wrong with this book - it's just not useful for someone wanting to actually program a neural network system.
I read all sorts of stuff about the nervous systems in horseshoe crabs, but I don't find myself able to do anything with neural networks. Therefore, I'm scouring the Internet to find some source code examples or a tutorial of some kind.
If you want to know miscellaneous information about neural networks, go ahead and buy the book. But if you actually want to construct neural networks, buy something else.
Fantastic Introductory Book!.......2002-05-16
I highly recommend this book to anyone looking to learn about neural networks. It starts with a good overview of the biological basis that will be appropriate for the engineering student. The author is witty and appropriately cynical.
Amazing Neural Net Introduction!.......1998-07-30
This is one of the best books I have ever read. It introduces neural networks, with a strong emphasis on biological plausibility. For example, the book compares the visual systems of simple animals with neural network feature extraction. Anderson moves effectively among evolutionary biology, cognitive science, artificial intelligence, and behavioral psychology. His insights are important, clear, and often funny as well. The book gently introduces source code for implementing the various neural networks that he describes.
Average customer rating:
- A great introduction for a low price
- An introduction, but not a gentle one...
- fascinating
|
Cognitive Science: An Introduction, Second Edition
Neil A. Stillings ,
Steven W. Weisler ,
Christopher H. Chase ,
Mark H. Feinstein ,
Jay L. Garfield , and
Edwina L. Rissland
Manufacturer: The MIT Press
ProductGroup: Book
Binding: Paperback
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Mind: Introduction to Cognitive Science, , 2nd Edition
ASIN: 0262691752 |
Book Description
This edition available outside North America ONLY
Customer Reviews:
A great introduction for a low price.......2007-01-15
This old book is a great introduction to all of the fields that make up cognitive science at a relatively low price, although it could use an updated edition. It takes a computational perspective as it surveys the various areas, and that is good for someone coming from a scientific field. It covers psychology, philosophy, linguistics, and artificial intelligence, relating them all to the field of cognitive science. In spite of the complexity of each of these individual areas, there really are no hard prerequisites for reading it. However, I would recommend you have at least an upper-level undergraduate knowledge of two of the fields covered in order to better see the total interconnection of all the fields. The book probably goes into the most depth in the areas of natural language processing and vision because these are the most computationally complex. This book is not the last word on any of the fields it covers, but it will get you started. I highly recommend it in spite of its age. The following is the book's table of contents:
Chapter 1 What Is Cognitive Science?
1.1 The Cognitive View
1.2 Some Fundamental Concepts
1.3 Information Processes Can Be Analyzed At Several Levels
1.4 Computers In Cognitive Science
1.5 Applied Cognitive Science
1.6 The Interdisciplinary Nature of Cognitive Science
Chapter 2 Cognitive Psychology: The Architecture of the Mind
2.1 The Nature of Cognitive Psychology
2.2 The Notion of Cognitive Architecture
2.3 A Global View of The Cognitive Architecture
2.4 Propositional Representation
2.5 Schematic Representation
2.6 Cognitive Processes, Working Memory, and Attention
2.7 Mental Images
2.8 Automatic and Controlled Processes
2.9 The Acquisition of Skill
2.10 The Connectionist Approach to Cognitive Architecture
Chapter 3 Cognitive Psychology: Further Explorations
3.1 Concepts and Categories
3.2 Memory
3.3 Reasoning
3.4 Problem Solving
Chapter 4 Artificial Intelligence: Knowledge Representation
4.1 The Nature of Artificial Intelligence
4.2 Knowledge Representation
Chapter 5 Artificial Intelligence: Search, Control, and Learning
5.1 Search and Control
5.2 Learning
Chapter 6 Linguistics: The Representation of Language
6.1 The Study of Linguistic Knowledge
6.2 Phonology
6.3 Syntax
6.4 Universals
Chapter 7 Neuroscience: Brain and Cognition
7.1 Introduction to the Study of the Nervous System
7.2 Organization of the Central Nervous System
7.3 Neural Representation
7.4 Neuropsychology
7.5 Computational Neuroscience
Chapter 8 Philosophy: Foundations of Cognitive Science
8.1 Philosophy in Cognitive Science
8.2 The Enterprise of Cognitive Science
8.3 Ontological Issues
8.4 Epistemological Issues
8.5 The State of Cognitive Science
Chapter 9 Language Acquisition
9.1 Milestones in Acquisition
9.2 Theoretical Perspectives
Chapter 10 Semantics
10.1 Semantics and Cognitive Science
10.2 Meaning and Entailment
10.3 Reference
10.4 Sense
10.5 Problems in Possible-Worlds Semantics
10.6 Cognitive and Computational Models of Semantic Processing
Chapter 11 Natural Language Processing
11.1 Preliminaries
11.2 On the Role of Grammar in Language Processing
11.3 Connectionist Models
11.4 On the Role of Discourse
11.5 More on the Role of General Knowledge
11.6 Production
11.7 Conclusion
Chapter 12 Vision
12.1 The Problem of Vision
12.2 Low-Level Visual Processes
12.3 Intermediate Processes and Representations in Vision
12.4 High-Level Visual Processes
12.5 The Architecture of Visual Computation
An introduction, but not a gentle one..........2001-02-07
What do you expect from a cognitive science book, which neatly separates all the major fields (Cognitive Psychology, Artificial Intelligence, Linguistics, Neuroscience, Philosophy, Language Acquisition, Semantics, Natural Language Processing, Vision), into chapters? First of all, it is not a mile-wide inch-deep book. Quite the contrary, it has remarkable detail, and it's definitely not an easy book for the beginner. However the fragments are not well-connected to each other, and there are no threads of thought one can follow through the text. Probably the most important problem of cognitive science is the gap between the disciplines, and the lack of a common terminology. The authors have adopted an information-processing view, and overstepped this problem rather than solving it. The result is a biased book, which is really nice if you like the information theoretic approach (like I do), but as a course-book, I suggest it as the supplementary reading.
fascinating.......2000-07-09
Cognitive Science: An Introduction - 2nd Edition is a fascinating undergraduate text that accurately shows all of the subsets of the cognitive sciences. Cognitive Science: An Introduction - 2nd Edition introduces the advanced undergraduate student to cognitive science subsets such as cognitive psychology, cognitive anthropology, cognitive computational intelligence, cognitive linguistics, cognitive nurro-science, and the philosophy of the cognitive sciences. The diagrams in Cognitive Science: An Introduction - 2nd Edition are very vivid to demonstrate exactly what a philosophers/scientists sees in the subject matter of the cognitive sciences. The undergraduate text provides a very a empirical perspective of the cognitive sciences that differs directly from the classical transcendental perspective of cognition that the philosopher Immanuel Cant demonstrated in the Critique Of Pure Reason. The cognitive sciences can be very difficult to understand, but Cognitive Science: An Introduction - 2nd Edition is one of the best resources to explore the new empirical study of the science of the process of thought.
Please feel free to send questions or comments to mmount@essex1.com
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