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01936cam a22003974a 4500 |
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990000548510204151 |
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20241030112532.0 |
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010627s2001 maua b 001 0 eng |
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|a 2001044005
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|a GBA2-01920
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|a 101135674
|2 DNLM
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|a 50418599
|a 51682139
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|a 0262041995 (hc. : alk. paper)
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|a 9780262041997 (hc. : alk. paper)
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|a (OCoLC)000054851
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|a (udesa)000054851USA01
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|a (OCoLC)47225052
|z (OCoLC)50418599
|z (OCoLC)51682139
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|a (OCoLC)990000548510204151
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|a DLC
|c DLC
|d C#P
|d UKM
|d SBH
|d NLM
|d U6P
|d MUQ
|d BAKER
|d NLGGC
|d BTCTA
|d YDXCP
|d UQ1
|d OCLCG
|d STF
|d U@S
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042 |
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|a pcc
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|a U@SA
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050 |
0 |
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|a QP363.3
|b .D39 2001
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082 |
0 |
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|a 573.8/01/13
|2 21
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100 |
1 |
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|a Dayan, Peter,
|d 1965-
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1 |
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|a Theoretical neuroscience :
|b computational and mathematical modeling of neural systems /
|c Peter Dayan and L.F. Abbott.
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260 |
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|a Cambridge, Mass. :
|b Massachusetts Institute of Technology Press,
|c c2001.
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300 |
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|a xv, 460 p. :
|b ill. ;
|c 25 cm.
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490 |
1 |
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|a Computational neuroscience
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504 |
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|a Includes bibliographical references (p. [419]-438) and index.
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505 |
0 |
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|a Neural encoding I: firing rates and spike statistics -- Neural encoding II: reverse correlation and visual receptive fields -- Neural decoding -- Information theory -- Model neurons I: neuroelectronics -- Model neurons II: conductances and morphology -- Network models -- Plasticity and learning -- Classical conditioning and reinforcement learning -- Representational learning -- Mathematical appendix.
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650 |
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0 |
|a Neural networks (Neurobiology)
|x Computer simulation.
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650 |
|
0 |
|a Human information processing
|x Computer simulation.
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650 |
|
0 |
|a Computational neuroscience.
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700 |
1 |
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|a Abbott, L. F.
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830 |
|
0 |
|a Computational neuroscience.
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856 |
4 |
1 |
|3 Table of contents
|u http://www.loc.gov/catdir/toc/fy031/2001044005.html
|