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The Computational Brain
"A Bradford book.""How do groups of neurons interact to enable the organism to see, decide, and move appropriately? What are the principles whereby networks of neurons represent and compute? These are the central questions probed by The Computational Brain. Churchland and Sejnowski address the foundational ideas of the emerging field of computational neuroscience, examine a diverse range of neu…
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- ISBN/ISSN
- 9780262270298
- Collation
- 1 online resource (xi, 544 pages) :illustrations.
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Computational Explorations in Cognitive Neuroscience: Understanding the Mind …
"A Bradford book."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 th…
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- ISBN/ISSN
- 9780262280907
- Collation
- 1 online resource (xxvii, 504 pages) :illustrations
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Talking Nets: An Oral History of Neural Networks
A Bradford book."OCLC-licensed vendor bibliographic record.
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- ISBN/ISSN
- 9780262267151
- Collation
- 1 online resource (xi, 434 pages) :illustrations
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Independent component analysis : a tutorial introduction
"A Bradford book."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 set…
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- ISBN/ISSN
- 9780262257046
- Collation
- 1 online resource (xviii, 193 pages) : illustrations
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- Call Number
- 006 STO i
Unsupervised learning :foundations of neural computation
A Bradford book."OCLC-licensed vendor bibliographic record.
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- ISBN/ISSN
- 9780262288033
- Collation
- 1 online resource (xvi, 398 pages) :illustrations.
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Connectionist symbol processing
"A Bradford book.""Reprinted from Artificial intelligence, an international journal, volume 46, numbers 1-2, 1990"--Title page verso.The six contributions in Connectionist Symbol Processing address the current tension within the artificial intelligence community between advocates of powerful symbolic representations that lack efficient learning procedures and advocates of relatively simple lear…
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- ISBN/ISSN
- 9780262256360
- Collation
- 1 online resource (262 pages) :illustrations.
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Pattern recognition by self-organizing neural networks
Pattern Recognition by Self-Organizing Neural Networks presents the most recent advances in an area of research that is becoming vitally important in the fields of cognitive science, neuroscience, artificial intelligence, and neural networks in general. Pattern Recognition by Self-Organizing Neural Networks presents the most recent advances in an area of research that is becoming vitally imp…
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- ISBN/ISSN
- 9780262269896
- Collation
- 1 online resource (691 pages) :illustrations
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Discovering the human connectome
A pioneer in the field outlines new empirical and computational approaches to mapping the neural connections of the human brain.OCLC-licensed vendor bibliographic record.
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- ISBN/ISSN
- 9780262305730
- Collation
- 1 online resource (xii, 232 pages) :illustrations
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An introduction to computational learning theory
Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational learning theory for researchers and students in artificial intelligence, neural networks, theoretical computer science, and statistics.Computational learning theory is a new and rapidly expanding area of research that examines formal models of induction with th…
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- ISBN/ISSN
- 0585350531
- Collation
- 1 online resource (xii, 207 pages) :illustrations
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- Call Number
- 005 KEA i
Intelligence emerging : adaptivity and search in evolving neural systems
"Emergence--the formation of global patterns from solely local interactions--is a frequent and fascinating theme in the scientific literature both popular and academic. In this book, Keith Downing undertakes a systematic investigation of the widespread (if often vague) claim that intelligence is an emergent phenomenon. Downing focuses on neural networks, both natural and artificial, and how the…
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- ISBN/ISSN
- 0262328666
- Collation
- 1 online resource (xxii, 475 pages) :illustrations
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