| 000 | 03276nam a22005295i 4500 | ||
|---|---|---|---|
| 001 | 978-3-031-57873-1 | ||
| 003 | DE-He213 | ||
| 005 | 20251030112043.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 240515s2024 sz | s |||| 0|eng d | ||
| 020 |
_a9783031578731 _9978-3-031-57873-1 |
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| 024 | 7 |
_a10.1007/978-3-031-57873-1 _2doi |
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| 050 | 4 | _aQ342 | |
| 072 | 7 |
_aUYQ _2bicssc |
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| 072 | 7 |
_aCOM004000 _2bisacsh |
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| 072 | 7 |
_aUYQ _2thema |
|
| 100 | 1 |
_aYang, Shuangming. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _976862 |
|
| 245 | 1 | 0 |
_aNeuromorphic Intelligence _h[electronic resource] : _bLearning, Architectures and Large-Scale Systems / _cby Shuangming Yang, Badong Chen. |
| 250 | _a1st ed. 2024. | ||
| 264 | 1 |
_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2024. |
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| 300 |
_aXIX, 239 p. 131 illus., 109 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 1 |
_aSynthesis Lectures on Engineering, Science, and Technology, _x2690-0327 |
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| 505 | 0 | _aIntroduction -- Introduction for Neuromorphic Intelligence -- Spike-based Learning with Multi-compartment Model -- Spike-based Learning with Information Theory -- Scalable Architectures on Neuromorphic Systems -- Large-scale Digital Neuromorphic Systems -- Conclusion. | |
| 520 | _aThis book provides a valuable resource on the design of neuromorphic intelligence, which serves as a computational foundation for building compact and low-power brain-inspired intelligent systems. The book introduces novel spiking neural network learning algorithms, including spike-based learning based on the multi-compartment model and spike-based learning with information theory. These offer important insights and academic value for readers to grasp the latest advances in neural-inspired learning. Additionally, the book presents insights and approaches to the design of scalable neuromorphic architectures, which are crucial foundations for achieving highly cognitive and energy-efficient computing systems. Furthermore, the book introduces representative large-scale neuromorphic systems and reviews several recently implemented large-scale digital neuromorphic systems by the authors, providing corresponding application scenarios. | ||
| 650 | 0 |
_aComputational intelligence. _964052 |
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| 650 | 0 |
_aArtificial intelligence. _958441 |
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| 650 | 0 |
_aNeurosciences. _968384 |
|
| 650 | 1 | 4 |
_aComputational Intelligence. _964052 |
| 650 | 2 | 4 |
_aArtificial Intelligence. _958441 |
| 650 | 2 | 4 |
_aNeuroscience. _968386 |
| 700 | 1 |
_aChen, Badong. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _976863 |
|
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031578724 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031578748 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031578755 |
| 830 | 0 |
_aSynthesis Lectures on Engineering, Science, and Technology, _x2690-0327 |
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| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-57873-1 |
| 912 | _aZDB-2-SXSC | ||
| 999 |
_c59875 _d59875 |
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