Neuromorphic Systems Engineering: Neural Networks in Silicon
Neuromorphic Systems Engineering: Neural Networks in Silicon emphasizes three important aspects of this exciting new research field. The term neuromorphic expresses relations to computational models found in biological neural systems, which are used as inspiration for building large electronic syste...
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boston, MA
Springer US
1998
|
| Schriftenreihe: | The Springer International Series in Engineering and Computer Science, Analog Circuits and Signal Processing
447 |
| Schlagworte: | |
| Online-Zugang: | BTU01 Volltext |
| Zusammenfassung: | Neuromorphic Systems Engineering: Neural Networks in Silicon emphasizes three important aspects of this exciting new research field. The term neuromorphic expresses relations to computational models found in biological neural systems, which are used as inspiration for building large electronic systems in silicon. By adequate engineering, these silicon systems are made useful to mankind. Neuromorphic Systems Engineering: Neural Networks in Silicon provides the reader with a snapshot of neuromorphic engineering today. It is organized into five parts viewing state-of-the-art developments within neuromorphic engineering from different perspectives. Neuromorphic Systems Engineering: Neural Networks in Silicon provides the first collection of neuromorphic systems descriptions with firm foundations in silicon. Topics presented include: large scale analog systems in silicon neuromorphic silicon auditory (ear) and vision (eye) systems in silicon learning and adaptation in silicon merging biology and technology micropower analog circuit design analog memory analog interchipcommunication on digital buses £/LIST£ Neuromorphic Systems Engineering: Neural Networks in Silicon serves as an excellent resource for scientists, researchers and engineers in this emerging field, and may also be used as a text for advanced courses on the subject |
| Beschreibung: | 1 Online-Ressource (XVII, 462 p) |
| ISBN: | 9780585280011 |
| DOI: | 10.1007/b102308 |
Internformat
MARC
| LEADER | 00000nmm a2200000zcb4500 | ||
|---|---|---|---|
| 001 | BV045184855 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 180912s1998 |||| o||u| ||||||eng d | ||
| 020 | |a 9780585280011 |9 978-0-585-28001-1 | ||
| 024 | 7 | |a 10.1007/b102308 |2 doi | |
| 035 | |a (ZDB-2-ENG)978-0-585-28001-1 | ||
| 035 | |a (OCoLC)1053833153 | ||
| 035 | |a (DE-599)BVBBV045184855 | ||
| 040 | |a DE-604 |b ger |e aacr | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-634 | ||
| 082 | 0 | |a 621.3815 |2 23 | |
| 245 | 1 | 0 | |a Neuromorphic Systems Engineering |b Neural Networks in Silicon |c edited by Tor Sverre Lande |
| 264 | 1 | |a Boston, MA |b Springer US |c 1998 | |
| 300 | |a 1 Online-Ressource (XVII, 462 p) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 0 | |a The Springer International Series in Engineering and Computer Science, Analog Circuits and Signal Processing |v 447 | |
| 520 | |a Neuromorphic Systems Engineering: Neural Networks in Silicon emphasizes three important aspects of this exciting new research field. The term neuromorphic expresses relations to computational models found in biological neural systems, which are used as inspiration for building large electronic systems in silicon. By adequate engineering, these silicon systems are made useful to mankind. Neuromorphic Systems Engineering: Neural Networks in Silicon provides the reader with a snapshot of neuromorphic engineering today. It is organized into five parts viewing state-of-the-art developments within neuromorphic engineering from different perspectives. Neuromorphic Systems Engineering: Neural Networks in Silicon provides the first collection of neuromorphic systems descriptions with firm foundations in silicon. Topics presented include: large scale analog systems in silicon neuromorphic silicon auditory (ear) and vision (eye) systems in silicon learning and adaptation in silicon merging biology and technology micropower analog circuit design analog memory analog interchipcommunication on digital buses £/LIST£ Neuromorphic Systems Engineering: Neural Networks in Silicon serves as an excellent resource for scientists, researchers and engineers in this emerging field, and may also be used as a text for advanced courses on the subject | ||
| 650 | 4 | |a Engineering | |
| 650 | 4 | |a Circuits and Systems | |
| 650 | 4 | |a Electrical Engineering | |
| 650 | 4 | |a Statistical Physics, Dynamical Systems and Complexity | |
| 650 | 4 | |a Computer Science, general | |
| 650 | 4 | |a Engineering | |
| 650 | 4 | |a Computer science | |
| 650 | 4 | |a Statistical physics | |
| 650 | 4 | |a Dynamical systems | |
| 650 | 4 | |a Electrical engineering | |
| 650 | 4 | |a Electronic circuits | |
| 700 | 1 | |a Lande, Tor Sverre |4 edt | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9780792381587 |
| 856 | 4 | 0 | |u https://doi.org/10.1007/b102308 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
| 912 | |a ZDB-2-ENG | ||
| 940 | 1 | |q ZDB-2-ENG_Archiv | |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-030574032 | ||
| 966 | e | |u https://doi.org/10.1007/b102308 |l BTU01 |p ZDB-2-ENG |q ZDB-2-ENG_Archiv |x Verlag |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1804178874083311616 |
|---|---|
| any_adam_object | |
| author2 | Lande, Tor Sverre |
| author2_role | edt |
| author2_variant | t s l ts tsl |
| author_facet | Lande, Tor Sverre |
| building | Verbundindex |
| bvnumber | BV045184855 |
| collection | ZDB-2-ENG |
| ctrlnum | (ZDB-2-ENG)978-0-585-28001-1 (OCoLC)1053833153 (DE-599)BVBBV045184855 |
| dewey-full | 621.3815 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 621 - Applied physics |
| dewey-raw | 621.3815 |
| dewey-search | 621.3815 |
| dewey-sort | 3621.3815 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
| doi_str_mv | 10.1007/b102308 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03109nmm a2200505zcb4500</leader><controlfield tag="001">BV045184855</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">180912s1998 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780585280011</subfield><subfield code="9">978-0-585-28001-1</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/b102308</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-2-ENG)978-0-585-28001-1</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1053833153</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV045184855</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">aacr</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-634</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">621.3815</subfield><subfield code="2">23</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Neuromorphic Systems Engineering</subfield><subfield code="b">Neural Networks in Silicon</subfield><subfield code="c">edited by Tor Sverre Lande</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Boston, MA</subfield><subfield code="b">Springer US</subfield><subfield code="c">1998</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (XVII, 462 p)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">The Springer International Series in Engineering and Computer Science, Analog Circuits and Signal Processing</subfield><subfield code="v">447</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Neuromorphic Systems Engineering: Neural Networks in Silicon emphasizes three important aspects of this exciting new research field. The term neuromorphic expresses relations to computational models found in biological neural systems, which are used as inspiration for building large electronic systems in silicon. By adequate engineering, these silicon systems are made useful to mankind. Neuromorphic Systems Engineering: Neural Networks in Silicon provides the reader with a snapshot of neuromorphic engineering today. It is organized into five parts viewing state-of-the-art developments within neuromorphic engineering from different perspectives. Neuromorphic Systems Engineering: Neural Networks in Silicon provides the first collection of neuromorphic systems descriptions with firm foundations in silicon. Topics presented include: large scale analog systems in silicon neuromorphic silicon auditory (ear) and vision (eye) systems in silicon learning and adaptation in silicon merging biology and technology micropower analog circuit design analog memory analog interchipcommunication on digital buses £/LIST£ Neuromorphic Systems Engineering: Neural Networks in Silicon serves as an excellent resource for scientists, researchers and engineers in this emerging field, and may also be used as a text for advanced courses on the subject</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Engineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Circuits and Systems</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Electrical Engineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Statistical Physics, Dynamical Systems and Complexity</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer Science, general</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Engineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer science</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Statistical physics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Dynamical systems</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Electrical engineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Electronic circuits</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Lande, Tor Sverre</subfield><subfield code="4">edt</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">9780792381587</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1007/b102308</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-2-ENG</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">ZDB-2-ENG_Archiv</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-030574032</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/b102308</subfield><subfield code="l">BTU01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="q">ZDB-2-ENG_Archiv</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV045184855 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:10:54Z |
| institution | BVB |
| isbn | 9780585280011 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030574032 |
| oclc_num | 1053833153 |
| open_access_boolean | |
| owner | DE-634 |
| owner_facet | DE-634 |
| physical | 1 Online-Ressource (XVII, 462 p) |
| psigel | ZDB-2-ENG ZDB-2-ENG_Archiv ZDB-2-ENG ZDB-2-ENG_Archiv |
| publishDate | 1998 |
| publishDateSearch | 1998 |
| publishDateSort | 1998 |
| publisher | Springer US |
| record_format | marc |
| series2 | The Springer International Series in Engineering and Computer Science, Analog Circuits and Signal Processing |
| spelling | Neuromorphic Systems Engineering Neural Networks in Silicon edited by Tor Sverre Lande Boston, MA Springer US 1998 1 Online-Ressource (XVII, 462 p) txt rdacontent c rdamedia cr rdacarrier The Springer International Series in Engineering and Computer Science, Analog Circuits and Signal Processing 447 Neuromorphic Systems Engineering: Neural Networks in Silicon emphasizes three important aspects of this exciting new research field. The term neuromorphic expresses relations to computational models found in biological neural systems, which are used as inspiration for building large electronic systems in silicon. By adequate engineering, these silicon systems are made useful to mankind. Neuromorphic Systems Engineering: Neural Networks in Silicon provides the reader with a snapshot of neuromorphic engineering today. It is organized into five parts viewing state-of-the-art developments within neuromorphic engineering from different perspectives. Neuromorphic Systems Engineering: Neural Networks in Silicon provides the first collection of neuromorphic systems descriptions with firm foundations in silicon. Topics presented include: large scale analog systems in silicon neuromorphic silicon auditory (ear) and vision (eye) systems in silicon learning and adaptation in silicon merging biology and technology micropower analog circuit design analog memory analog interchipcommunication on digital buses £/LIST£ Neuromorphic Systems Engineering: Neural Networks in Silicon serves as an excellent resource for scientists, researchers and engineers in this emerging field, and may also be used as a text for advanced courses on the subject Engineering Circuits and Systems Electrical Engineering Statistical Physics, Dynamical Systems and Complexity Computer Science, general Computer science Statistical physics Dynamical systems Electrical engineering Electronic circuits Lande, Tor Sverre edt Erscheint auch als Druck-Ausgabe 9780792381587 https://doi.org/10.1007/b102308 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Neuromorphic Systems Engineering Neural Networks in Silicon Engineering Circuits and Systems Electrical Engineering Statistical Physics, Dynamical Systems and Complexity Computer Science, general Computer science Statistical physics Dynamical systems Electrical engineering Electronic circuits |
| title | Neuromorphic Systems Engineering Neural Networks in Silicon |
| title_auth | Neuromorphic Systems Engineering Neural Networks in Silicon |
| title_exact_search | Neuromorphic Systems Engineering Neural Networks in Silicon |
| title_full | Neuromorphic Systems Engineering Neural Networks in Silicon edited by Tor Sverre Lande |
| title_fullStr | Neuromorphic Systems Engineering Neural Networks in Silicon edited by Tor Sverre Lande |
| title_full_unstemmed | Neuromorphic Systems Engineering Neural Networks in Silicon edited by Tor Sverre Lande |
| title_short | Neuromorphic Systems Engineering |
| title_sort | neuromorphic systems engineering neural networks in silicon |
| title_sub | Neural Networks in Silicon |
| topic | Engineering Circuits and Systems Electrical Engineering Statistical Physics, Dynamical Systems and Complexity Computer Science, general Computer science Statistical physics Dynamical systems Electrical engineering Electronic circuits |
| topic_facet | Engineering Circuits and Systems Electrical Engineering Statistical Physics, Dynamical Systems and Complexity Computer Science, general Computer science Statistical physics Dynamical systems Electrical engineering Electronic circuits |
| url | https://doi.org/10.1007/b102308 |
| work_keys_str_mv | AT landetorsverre neuromorphicsystemsengineeringneuralnetworksinsilicon |