Introduction to neural and cognitive modeling / Daniel S. Levine.
This thoroughly, thoughtfully revised edition of a very successful textbook makes the principles and the details of neural network modeling accessible to cognitive scientists of all varieties as well as to others interested in these models. Research since the publication of the first edition has bee...
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Full Text (via EBSCO) |
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| Format: | eBook |
| Language: | English |
| Published: |
Mahwah, N.J. :
Lawrence Erlbaum Associates Publishers,
2000.
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| Edition: | 2nd ed. |
| Subjects: |
MARC
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| 100 | 1 | |a Levine, Daniel S. |0 http://id.loc.gov/authorities/names/n90666256 |1 http://isni.org/isni/0000000117504158. | |
| 245 | 1 | 0 | |a Introduction to neural and cognitive modeling / |c Daniel S. Levine. |
| 250 | |a 2nd ed. | ||
| 260 | |a Mahwah, N.J. : |b Lawrence Erlbaum Associates Publishers, |c 2000. | ||
| 300 | |a 1 online resource (xix, 491 pages) : |b illustrations. | ||
| 336 | |a text |b txt |2 rdacontent. | ||
| 337 | |a computer |b c |2 rdamedia. | ||
| 338 | |a online resource |b cr |2 rdacarrier. | ||
| 504 | |a Includes bibliographical references (pages 417-463) and indexes. | ||
| 505 | 0 | 0 | |t Brain and Machine: The Same Principles? -- |t What Are Neural Networks? -- |t Is Biological Realism a Virtue? -- |t What Are Some Principles of Neural Network Theory? -- |t Methodological Considerations -- |t Historical Outline -- |t Digital Approaches -- |t The McCulloch-Pitts Network -- |t Early Approaches to Modeling Learning: Hull and Hebb -- |t Rosenblatt's Perceptrons -- |t Some Experiments With Perceptrons -- |t The Divergence of Artificial Intelligence and Neural Modeling -- |t Continuous and Random Net Approaches -- |t Rashevsky's Work -- |t Early Random Net Models -- |t Reconciling Randomness and Specificity -- |t Definitions and Detailed Rules for Rosenblatt's Perceptrons -- |t Detailed Description: Perceptron to Discriminate Vertical Versus Horizontal -- |t Associative Learning and Synaptic Plasticity -- |t Physiological Bases for Learning -- |t Rules for Associative Learning -- |t Outstars and Other Early Models of Grossberg -- |t Anderson's Connection Matrices -- |t Kohonen's Early Work -- |t Learning Rules Related to Changes in Node Activities -- |t Klopf's Hedonistic Neurons and the Sutton-Barto Learning Rule -- |t Error Correction and Back Propagation -- |t The Differential Hebbian Idea -- |t Gated Dipole Theory -- |t Associative Learning of Patterns -- |t Kohonen's Recent Work: Autoassociation and Heteroassociation -- |t Kosko's Bidirectional Associative Memory -- |t Equations for Networks in Chapter 3, and Physiological Details -- |t Detailed Description: The Gated Dipole -- |t Competition, Lateral Inhibition, and Short-Term Memory -- |t Contrast Enhancement, Competition, and Normalization. |
| 520 | |a This thoroughly, thoughtfully revised edition of a very successful textbook makes the principles and the details of neural network modeling accessible to cognitive scientists of all varieties as well as to others interested in these models. Research since the publication of the first edition has been systematically incorporated into a framework of proven pedagogical value. Features of the second edition include: * A new section on spatiotemporal pattern processing * Coverage of ARTMAP networks (the supervised version of adaptive resonance networks) and recurrent back-propagat. | ||
| 588 | 0 | |a Print version record. | |
| 650 | 0 | |a Neural networks (Neurobiology) |0 http://id.loc.gov/authorities/subjects/sh93002348. | |
| 650 | 0 | |a Neural networks (Computer science) |0 http://id.loc.gov/authorities/subjects/sh90001937. | |
| 650 | 0 | |a Cognition. |0 http://id.loc.gov/authorities/subjects/sh85027742. | |
| 650 | 0 | |a Digital computer simulation. |0 http://id.loc.gov/authorities/subjects/sh85037973. | |
| 650 | 0 | |a Computer simulation. |0 http://id.loc.gov/authorities/subjects/sh85029533. | |
| 650 | 7 | |a Neural networks (Computer science) |2 fast |0 (OCoLC)fst01036260. | |
| 650 | 7 | |a Neural networks (Neurobiology) |2 fast |0 (OCoLC)fst01036271. | |
| 776 | 0 | 8 | |i Print version: |a Levine, Daniel S. |t Introduction to neural and cognitive modeling. |b 2nd ed. |d Mahwah, N.J. : Lawrence Erlbaum Associates Publishers, 2000 |z 0805820051 |w (DLC) 99057795 |w (OCoLC)42823798. |
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