| 000 | 05526cam a2200793 i 4500 | ||
|---|---|---|---|
| 001 | on1224585570 | ||
| 003 | OCoLC | ||
| 005 | 20220908100225.0 | ||
| 006 | m o d | ||
| 007 | cr ||||||||||| | ||
| 008 | 201123t20212021nju ob 001 0 eng | ||
| 010 | _a 2020052827 | ||
| 040 |
_aDLC _beng _erda _epn _cDLC _dOCLCO _dOCLCF _dEBLCP _dUKAHL _dJSTOR _dYDX _dMRB _dN$T _dOCLCO _dCUV _dDEGRU _dWAU _dOCL _dIEEEE _dK6U _dOCLCO |
||
| 020 |
_a0691215510 _qelectronic book |
||
| 020 |
_a9780691215518 _q(electronic bk.) |
||
| 020 |
_z9780691181226 _qhardcover |
||
| 029 | 1 |
_aAU@ _b000068356326 |
|
| 035 | _a(OCoLC)1224585570 | ||
| 037 |
_a22573/ctv191b91r _bJSTOR |
||
| 037 |
_a9519811 _bIEEE |
||
| 042 | _apcc | ||
| 050 | 0 | 0 |
_aQA76.87 _b.H53 2021 |
| 072 | 7 |
_aSCI _x089000 _2bisacsh |
|
| 072 | 7 |
_aSCI _x090000 _2bisacsh |
|
| 072 | 7 |
_aSCI _x009000 _2bisacsh |
|
| 072 | 7 |
_aPSY _x051000 _2bisacsh |
|
| 072 | 7 |
_aCOM _x004000 _2bisacsh |
|
| 082 | 0 | 0 |
_a006.3/2 _223 |
| 049 | _aMAIN | ||
| 100 | 1 |
_aHiesinger, Peter Robin, _eauthor. _965726 |
|
| 245 | 1 | 4 |
_aThe self-assembling brain : _bhow neural networks grow smarter / _cPeter Robin Hiesinger. |
| 264 | 1 |
_aPrinceton : _bPrinceton University Press, _c[2021] |
|
| 264 | 4 | _c�2021 | |
| 300 |
_a1 online resource (xvi, 364 pages) : _billustrations (black and white) |
||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_acomputer _bn _2rdamedia |
||
| 338 |
_aonline resource _bnc _2rdacarrier |
||
| 504 | _aIncludes bibliographical references and index. | ||
| 520 |
_a"In this book, Peter Robin Hiesinger explores historical and contemporary attempts to understand the information needed to make biological and artificial neural networks. Developmental neurobiologists and computer scientists with an interest in artificial intelligence - driven by the promise and resources of biomedical research on the one hand, and by the promise and advances of computer technology on the other - are trying to understand the fundamental principles that guide the generation of an intelligent system. Yet, though researchers in these disciplines share a common interest, their perspectives and approaches are often quite different. The book makes the case that "the information problem" underlies both fields, driving the questions that are driving forward the frontiers, and aims to encourage cross-disciplinary communication and understanding, to help both fields make progress. The questions that challenge researchers in these fields include the following. How does genetic information unfold during the years-long process of human brain development, and can this be a short-cut to create human-level artificial intelligence? Is the biological brain just messy hardware that can be improved upon by running learning algorithms in computers? Can artificial intelligence bypass evolutionary programming of "grown" networks? These questions are tightly linked, and answering them requires an understanding of how information unfolds algorithmically to generate functional neural networks. Via a series of closely linked "discussions" (fictional dialogues between researchers in different disciplines) and pedagogical "seminars," the author explores the different challenges facing researchers working on neural networks, their different perspectives and approaches, as well as the common ground and understanding to be found amongst those sharing an interest in the development of biological brains and artificial intelligent systems"-- _cProvided by publisher. |
||
| 588 | _aDescription based on online resource; title from digital title page (viewed on May 11, 2021). | ||
| 505 | 0 | 0 |
_tFrontmatter -- _tContents -- _tAcknowledgments -- _tPrologue -- _tThe self-assembling brain -- _tIntroduction -- _tThe Present and the Past -- _t1 Algorithmic growth -- _t2 Of players and rules -- _t3 Brain development and artificial intelligence -- _tEpilogue -- _tGlossary -- _tReferences -- _tIndex |
| 590 |
_aIEEE _bIEEE Xplore Princeton University Press eBooks Library |
||
| 650 | 0 |
_aNeural networks (Computer science) _93414 |
|
| 650 | 0 |
_aNeural circuitry _xAdaptation. _965727 |
|
| 650 | 0 |
_aLearning _xPhysiological aspects. _964125 |
|
| 650 | 0 |
_aArtificial intelligence. _93407 |
|
| 650 | 2 |
_aNeural Networks, Computer _921566 |
|
| 650 | 2 |
_aArtificial Intelligence _93407 |
|
| 650 | 6 |
_aR�eseaux neuronaux (Informatique) _965728 |
|
| 650 | 6 |
_aR�eseaux nerveux _xAdaptation. _965729 |
|
| 650 | 6 |
_aApprentissage _xAspect physiologique. _964131 |
|
| 650 | 6 |
_aIntelligence artificielle. _910565 |
|
| 650 | 7 |
_aartificial intelligence. _2aat _93407 |
|
| 650 | 7 |
_aSCIENCE / Life Sciences / Neuroscience _2bisacsh _965730 |
|
| 650 | 7 |
_aLearning _xPhysiological aspects. _2fast _0(OCoLC)fst00994839 _964125 |
|
| 650 | 7 |
_aArtificial intelligence. _2fast _0(OCoLC)fst00817247 _93407 |
|
| 650 | 7 |
_aNeural circuitry _xAdaptation. _2fast _0(OCoLC)fst01036246 _965727 |
|
| 650 | 7 |
_aNeural networks (Computer science) _2fast _0(OCoLC)fst01036260 _93414 |
|
| 655 | 0 |
_aElectronic books. _93294 |
|
| 655 | 4 |
_aElectronic books. _93294 |
|
| 776 | 0 | 8 |
_iPrint version: _aHiesinger, Peter Robin. _tThe self-assembling brain _dPrinceton : Princeton University Press, [2021] _z9780691181226 _w(DLC) 2020052826 |
| 856 | 4 | 0 | _uhttps://ieeexplore.ieee.org/servlet/opac?bknumber=9519811 |
| 938 |
_aDe Gruyter _bDEGR _n9780691215518 |
||
| 938 |
_aAskews and Holts Library Services _bASKH _nAH38316545 |
||
| 938 |
_aProQuest Ebook Central _bEBLB _nEBL6483050 |
||
| 938 |
_aEBSCOhost _bEBSC _n2667086 |
||
| 942 | _cEBK | ||
| 994 |
_a92 _bINTKS |
||
| 999 |
_c81503 _d81503 |
||