
000 | 00000cam u2200205 a 4500 | |
001 | 000045846705 | |
005 | 20151016160953 | |
008 | 151014s2010 maua b 001 0 eng d | |
010 | ▼a 2009008416 | |
020 | ▼a 9780878933396 (hardcover : alk. paper) | |
035 | ▼a (KERIS)REF000016185566 | |
040 | ▼a DLC ▼c DLC ▼d 211009 | |
050 | 0 0 | ▼a QP357.5 ▼b .A53 2010 |
082 | 0 0 | ▼a 612.8/2 ▼2 23 |
084 | ▼a 612.82 ▼2 DDCK | |
090 | ▼a 612.82 ▼b A534t | |
100 | 1 | ▼a Anastasio, Thomas J. |
245 | 1 0 | ▼a Tutorial on neural systems modeling / ▼c Thomas J. Anastasio. |
260 | ▼a Sunderland, Mass. : ▼b Sinauer Associates, ▼c c2010. | |
300 | ▼a xvii, 553 p. : ▼b ill. ; ▼c 29 cm. | |
504 | ▼a Includes bibliographical references (p. 541-542) and index. | |
650 | 0 | ▼a Computational neuroscience. |
650 | 0 | ▼a Neural networks (Neurobiology). |
945 | ▼a KLPA |
Holdings Information
No. | Location | Call Number | Accession No. | Availability | Due Date | Make a Reservation | Service |
---|---|---|---|---|---|---|---|
No. 1 | Location Science & Engineering Library/Sci-Info(Stacks2)/ | Call Number 612.82 A534t | Accession No. 121234392 | Availability Available | Due Date | Make a Reservation | Service |
Contents information
Table of Contents
Vectors, Matrices, and Basic Neural Computations.- Recurrent Connections and Simple Neural Circuits.- Forward and Recurrent Lateral Inhibition.- Covariation Learning and Auto-Associative Memory.- Unsupervised Learning and Distributed Representations.- Supervised Learning and Non-Uniform Representations.- Reinforcement Learning and Associative Conditioning.- Information Transmission and Unsupervised Learning.- Probability Estimation and Supervised Learning.- Time-Series Learning and Nonlinear Signal Processing.- Temporal-Difference Learning and Reward Prediction.- Predictor-Corrector Models and Probabilistic Inference.- The Genetic Algorithm and Simulated Evolution.- Future Directions in Neural Systems Modeling.
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