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Volumn 2016-July, Issue , 2016, Pages 365-368

Learning spatio-temporal patterns in the presence of input noise using phase-change memristors

Author keywords

[No Author keywords available]

Indexed keywords

NEURONS; RECONFIGURABLE HARDWARE;

EID: 84983435131     PISSN: 02714310     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISCAS.2016.7527246     Document Type: Conference Paper
Times cited : (20)

References (13)
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  • 2
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    • Serrano-Gotarredona, T.1
  • 6
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    • Nanoelectronic programmable synapses based on phase change materials for brain-inspired computing
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    • D. Kuzum et al., "Nanoelectronic programmable synapses based on phase change materials for brain-inspired computing, " Nano Letters, vol. 12, no. 5, pp. 2179-2186, May 2012.
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    • Kuzum, D.1
  • 7
    • 84861765357 scopus 로고    scopus 로고
    • Extraction of temporally correlated features from dynamic vision sensors with spike-timing-dependent plasticity
    • Aug.
    • O. Bichler et al., "Extraction of temporally correlated features from dynamic vision sensors with spike-timing-dependent plasticity, " Neural Networks, vol. 32, pp. 339-348, Aug. 2012.
    • (2012) Neural Networks , vol.32 , pp. 339-348
    • Bichler, O.1
  • 8
    • 79951822603 scopus 로고    scopus 로고
    • Device, circuit and system-level analysis of noise in multi-bit phase-change memory
    • Dec.
    • G. Close et al., "Device, circuit and system-level analysis of noise in multi-bit phase-change memory, " in Electron Devices Meeting (IEDM), 2010 IEEE International, Dec. 2010, pp. 29. 5. 1-29. 5. 4.
    • (2010) Electron Devices Meeting (IEDM), 2010 IEEE International , pp. 2951-2954
    • Close, G.1
  • 10
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    • Experimental demonstration and tolerancing of a largescale neural network (165, 000 synapses), using phase-change memory as the synaptic weight element
    • Dec.
    • G. Burr et al., "Experimental demonstration and tolerancing of a largescale neural network (165, 000 synapses), using phase-change memory as the synaptic weight element, " in Electron Devices Meeting (IEDM), 2014 IEEE International, Dec. 2014, pp. 29. 5. 1-29. 5. 4.
    • (2014) Electron Devices Meeting (IEDM), 2014 IEEE International , pp. 2951-2954
    • Burr, G.1
  • 12
    • 0033860923 scopus 로고    scopus 로고
    • Competitive Hebbian learning through spike-timing-dependent synaptic plasticity
    • S. Song, K. D. Miller, and L. F. Abbott, "Competitive Hebbian learning through spike-timing-dependent synaptic plasticity, " Nature Neuroscience, vol. 3, no. 9, pp. 919-926, 2000.
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  • 13
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    • Learning input correlations through nonlinear temporally asymmetric Hebbian plasticity
    • R. Gütig et al., "Learning input correlations through nonlinear temporally asymmetric Hebbian plasticity, " The Journal of Neuroscience, vol. 23, no. 9, pp. 3697-3714, 2003.
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    • Gütig, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.