000 | 03835nam a22006495i 4500 | ||
---|---|---|---|
001 | 978-3-540-45723-7 | ||
003 | DE-He213 | ||
005 | 20240423132508.0 | ||
007 | cr nn 008mamaa | ||
008 | 121227s2001 gw | s |||| 0|eng d | ||
020 |
_a9783540457237 _9978-3-540-45723-7 |
||
024 | 7 |
_a10.1007/3-540-45723-2 _2doi |
|
050 | 4 | _aQ334-342 | |
050 | 4 | _aTA347.A78 | |
072 | 7 |
_aUYQ _2bicssc |
|
072 | 7 |
_aCOM004000 _2bisacsh |
|
072 | 7 |
_aUYQ _2thema |
|
082 | 0 | 4 |
_a006.3 _223 |
245 | 1 | 0 |
_aBio-Inspired Applications of Connectionism _h[electronic resource] : _b6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001 Granada, Spain, June 13-15, 2001, Proceedings, Part II / _cedited by Jose Mira, Alberto Prieto. |
250 | _a1st ed. 2001. | ||
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2001. |
|
300 |
_aLIV, 852 p. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aLecture Notes in Computer Science, _x1611-3349 ; _v2085 |
|
505 | 0 | _aBio-inspired Systems and Engineering -- Methodology for Nets Design, Nets Simulation and Implementation -- Image Processing -- Medical Applications -- Robotics -- General Applications. | |
520 | _aUnderlying most of the IWANN calls for papers is the aim to reassume some of the motivations of the groundwork stages of biocybernetics and the later bionics formulations and to try to reconsider the present value of two basic questions. The?rstoneis:“Whatdoesneurosciencebringintocomputation(thenew bionics)?” That is to say, how can we seek inspiration in biology? Titles such as “computational intelligence”, “arti?cial neural nets”, “genetic algorithms”, “evolutionary hardware”, “evolutive architectures”, “embryonics”, “sensory n- romorphic systems”, and “emotional robotics” are representatives of the present interest in “biological electronics” (bionics). Thesecondquestionis:“Whatcanreturncomputationtoneuroscience(the new neurocybernetics)?” That is to say, how can mathematics, electronics, c- puter science, and arti?cial intelligence help the neurobiologists to improve their experimental data modeling and to move a step forward towards the understa- ing of the nervous system? Relevant here are the general philosophy of the IWANN conferences, the sustained interdisciplinary approach, and the global strategy, again and again to bring together physiologists and computer experts to consider the common and pertinent questions and the shared methods to answer these questions. | ||
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aComputer science. | |
650 | 0 | _aAlgorithms. | |
650 | 0 | _aNeurosciences. | |
650 | 0 | _aNeurology . | |
650 | 0 | _aBioinformatics. | |
650 | 1 | 4 | _aArtificial Intelligence. |
650 | 2 | 4 | _aTheory of Computation. |
650 | 2 | 4 | _aAlgorithms. |
650 | 2 | 4 | _aNeuroscience. |
650 | 2 | 4 | _aNeurology. |
650 | 2 | 4 | _aComputational and Systems Biology. |
700 | 1 |
_aMira, Jose. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aPrieto, Alberto. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783540422372 |
776 | 0 | 8 |
_iPrinted edition: _z9783662207246 |
830 | 0 |
_aLecture Notes in Computer Science, _x1611-3349 ; _v2085 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/3-540-45723-2 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
912 | _aZDB-2-LNC | ||
912 | _aZDB-2-BAE | ||
942 | _cSPRINGER | ||
999 |
_c188389 _d188389 |