Information Theory and the Brain deals with a new and expanding area of neuroscience that provides a framework for understanding neuronal processing. This framework is derived from a conference held in Newquay, UK, where a group of scientists from around the world met to discuss the topic. This book begins with an introduction to the basic concepts of information theory and then illustrates these concepts with examples from research over the past forty years. Throughout the book, the contributors highlight current research from the areas of biological networks, information theory and artificial networks, information theory and psychology, and formal analysis. Each section includes an introduction and glossary covering basic concepts.
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"...the skeptic as well as the aficionado of information theory will profit from reading this new book." The Quarterly Review of Biology
Book Description
Information Theory and the Brain deals with a new and expanding area of neuroscience which provides a framework for understanding neuronal processing. It is derived from a conference held in Newquay, UK, where a handful of scientists from around the world met to discuss the topic. The book begins with an introduction to the basic concepts on information theory, and then illustrates these concepts with examples from research over the last 40 years.Graduate students and researchers in neuroscience will be interested as well as computer scientists and cognitive scientists. Neuroscientists interested in any aspect of neural networks or information processing will find this a very useful addition to the current literature.
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Inside This Book
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Learning and using a new technique always takes time. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
banana wavelets, banana wavelet responses, activation error scores, entropy distribution measure, maximise information transmission, cortical scotoma, blowfly retina, collective coding, citation speech, dominance stripes, artificial scotoma, binning strategies, clarity variation, insect retina, sparse coding, normalisation property, clarity score, synaptic noise, conditional mutual information, mismatch response, trajectory measure, object recognition system, source neuron, local coding, mammalian visual cortex Key Phrases - Capitalized Phrases (CAPs): (learn more)
Roland Baddeley, Peter Hancock, Cambridge University Press, United States of America, Peter Földiák, Adaptations of the Insect Retina, Eye Figure New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Learning and using a new technique always takes time. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
banana wavelets, banana wavelet responses, activation error scores, entropy distribution measure, maximise information transmission, cortical scotoma, blowfly retina, collective coding, citation speech, dominance stripes, artificial scotoma, binning strategies, clarity variation, insect retina, sparse coding, normalisation property, clarity score, synaptic noise, conditional mutual information, mismatch response, trajectory measure, object recognition system, source neuron, local coding, mammalian visual cortex Key Phrases - Capitalized Phrases (CAPs): (learn more)
Roland Baddeley, Peter Hancock, Cambridge University Press, United States of America, Peter Földiák, Adaptations of the Insect Retina, Eye Figure New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 52
books:
See all 52 books this book cites
2
books
cite this book:
- Language and Speech by George Armitage Miller in Back Matter (1), and Back Matter (2)
- Cognitive Neuroscience: The Biology of the Mind by MS Gazzaniga in Back Matter (1), and Back Matter (2)
- Advances in Neural Information Processing Systems 12 by Sara A. Solla in Back Matter (1), and Back Matter (2)
- The Mathematical Theory of Communication by Claude E Shannon on page 1, and Back Matter
- Computing Neuron (Computation and Neural Systems Series) by Richard Durbin in Back Matter (1), and Back Matter (2)
See all 52 books this book cites
- Neuromimetic Semantics: Coordination, quantification, and collective predicates by Harry Howard in Back Matter (1), and Back Matter (2)
- Perceptual Constancy: Why Things Look as They Do by Vincent Walsh on page 172
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