| 000 | 02669nam a2200601 i 4500 | ||
|---|---|---|---|
| 003 | KOHA | ||
| 005 | 20220616144936.0 | ||
| 008 | 220616s2001 maua b 001 0 eng d | ||
| 020 |
_a9780262041997 _q(paperback) |
||
| 020 |
_a0262041997 _q(paperback) |
||
| 020 |
_a9780262541855 _q(paperback) |
||
| 020 |
_a0262541855 _q(paperback) |
||
| 040 |
_aDLC _cDLC _dDLC _dCSt _dTR-IsMEF _beng _erda |
||
| 041 | _aeng | ||
| 042 | _apcc | ||
| 050 | 0 | 0 |
_aQP363.3 _b.D39 2001 |
| 100 | 1 |
_aDayan, Peter, _eauthor. |
|
| 245 | 1 | 0 |
_aTheoretical neuroscience : _bcomputational and mathematical modeling of neural systems / _cPeter Dayan and L.F. Abbott. |
| 260 |
_aCambridge, Mass. : _bMassachusetts Institute of Technology Press, _cc2001. |
||
| 264 | 1 |
_aCambridge, Massachusetts : _bMassachusetts Institute of Technology Press, _c2001. |
|
| 264 | 4 | _c©2001 | |
| 300 |
_axv, 460 pages : _billustration ; _c26 cm. |
||
| 336 |
_2rdacontent _atext |
||
| 337 |
_2rdamedia _aunmediated |
||
| 338 |
_2rdacarrier _avolume |
||
| 490 | 1 | _aComputational neuroscience. | |
| 504 | _aIncludes bibliographical references (pages 419-438) and index (pages 439-460). | ||
| 530 | _aAlso available on-line via the World Wide Web. | ||
| 650 | 0 |
_aNeural networks (Neurobiology) _xComputer simulation |
|
| 650 | 0 |
_aHuman information processing _xComputer simulation |
|
| 650 | 0 | _aComputational neuroscience | |
| 700 | 1 |
_aAbbott, L. F., _eauthor. |
|
| 830 | 0 | _aComputational neuroscience. | |
| 856 | 4 | 1 |
_3Table of contents _uhttp://www.loc.gov/catdir/toc/fy031/2001044005.html |
| 900 | _aMEF Üniversitesi Kütüphane katalog kayıtları RDA standartlarına uygun olarak üretilmektedir / MEF University Library Catalogue Records are Produced Compatible by RDA Rules | ||
| 910 | _aPandora | ||
| 942 |
_2lcc _cBKS |
||
| 970 | 1 | 2 |
_lI _tNeural encoding and decoding, _p1. |
| 970 | 1 | 1 |
_l1 _tNeural encoding I: firing rates and spike statistics, _p3. |
| 970 | 1 | 1 |
_l2 _tNeural encoding II: reverse correlation and visual receptive fields, _p45. |
| 970 | 1 | 1 |
_l3 _tNeural decoding, _p87. |
| 970 | 1 | 1 |
_l4 _tInformation theory, _p123. |
| 970 | 1 | 2 |
_lII _tNeurons and neural circuits, _p151. |
| 970 | 1 | 1 |
_l5 _tModel neurons I: neuroelectronics, _p153. |
| 970 | 1 | 1 |
_l6 _tModel neurons II: conductances and morphology, _p195. |
| 970 | 1 | 1 |
_l7 _tNetwork models, _p229. |
| 970 | 1 | 2 |
_lIII _tAdaptation and learning, _p279. |
| 970 | 1 | 1 |
_l8 _tPlasticity and learning, _p281. |
| 970 | 1 | 1 |
_l9 _tClassical conditioning and reinforcement learning, _p331. |
| 970 | 1 | 1 |
_l10 _tRepresentational learning, _p359. |
| 970 | 1 | 1 |
_tMathematical appendix, _p399. |
| 999 |
_c28114 _d28114 |
||