HOME > Detail View

Detail View

Tutorial on neural systems modeling

Tutorial on neural systems modeling (Loan 4 times)

Material type
단행본
Personal Author
Anastasio, Thomas J.
Title Statement
Tutorial on neural systems modeling / Thomas J. Anastasio.
Publication, Distribution, etc
Sunderland, Mass. :   Sinauer Associates,   c2010.  
Physical Medium
xvii, 553 p. : ill. ; 29 cm.
ISBN
9780878933396 (hardcover : alk. paper)
Bibliography, Etc. Note
Includes bibliographical references (p. 541-542) and index.
Subject Added Entry-Topical Term
Computational neuroscience. Neural networks (Neurobiology).
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 B M

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.


Information Provided By: : Aladin

New Arrivals Books in Related Fields

Barrett, Lisa Feldman (2021)
Slotnick, Scott (2021)
Schoenwolf, Gary (2021)
VanPutte, Cinnamon L (2021)