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Volumn 2016-February, Issue , 2015, Pages 4.2.1-4.2.4

Neuromorphic architectures for spiking deep neural networks

Author keywords

[No Author keywords available]

Indexed keywords

ASYNCHRONOUS SEQUENTIAL LOGIC; COMPUTER CIRCUITS; DIGITAL DEVICES; ELECTRON DEVICES; FEATURE EXTRACTION; HARDWARE; NETWORKS (CIRCUITS);

EID: 84964088529     PISSN: 01631918     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEDM.2015.7409623     Document Type: Conference Paper
Times cited : (140)

References (15)
  • 1
    • 84930630277 scopus 로고    scopus 로고
    • Deep learning
    • Y. LeCun, Y. Bengio, and G. Hinton. "Deep learning". In: Nature 521.7553 (2015), pp. 436-444.
    • (2015) Nature , vol.521 , Issue.7553 , pp. 436-444
    • LeCun, Y.1    Bengio, Y.2    Hinton, G.3
  • 2
    • 0025507283 scopus 로고
    • Neuromorphic electronic systems
    • C. Mead. "Neuromorphic Electronic Systems". In: Proceedings of the IEEE 78.10 (1990), pp. 1629-36.
    • (1990) Proceedings of the IEEE , vol.78 , Issue.10 , pp. 1629-1636
    • Mead, C.1
  • 3
    • 84906780089 scopus 로고    scopus 로고
    • Neuromorphic electronic circuits for building autonomous cognitive systems
    • Sept.
    • E. Chicca, F. Stefanini, C. Bartolozzi, and G. Indiveri. "Neuromorphic electronic circuits for building autonomous cognitive systems". In: Proceedings of the IEEE 102.9 (Sept. 2014), pp. 1367-1388.
    • (2014) Proceedings of the IEEE , vol.102 , Issue.9 , pp. 1367-1388
    • Chicca, E.1    Stefanini, F.2    Bartolozzi, C.3    Indiveri, G.4
  • 5
    • 79960834019 scopus 로고    scopus 로고
    • An electronic synapse device based on metal oxide resistive switching memory for neuromorphic computation
    • S. Yu, Y. Wu, R. Jeyasingh, D. Kuzum, and H.-S. Wong. "An electronic synapse device based on metal oxide resistive switching memory for neuromorphic computation". In: Electron Devices, IEEE Transactions on 58.8 (2011), pp. 2729-2737.
    • (2011) Electron Devices IEEE Transactions on , vol.58 , Issue.8 , pp. 2729-2737
    • Yu, S.1    Wu, Y.2    Jeyasingh, R.3    Kuzum, D.4    Wong, H.-S.5
  • 6
    • 84934988705 scopus 로고    scopus 로고
    • Complex learning in bio-plausible memristive networks
    • L. Deng et al. "Complex Learning in Bio-plausible Memristive Networks". In: Scientific reports 5 (2015).
    • (2015) Scientific Reports , vol.5
    • Deng, L.1
  • 7
    • 84937212908 scopus 로고    scopus 로고
    • Memory and information processing in neuromorphic systems
    • G. Indiveri and S.-C. Liu. "Memory and information processing in neuromorphic systems". In: Proceedings of the IEEE 103.8 (2015), pp. 1379-1397.
    • (2015) Proceedings of the IEEE , vol.103 , Issue.8 , pp. 1379-1397
    • Indiveri, G.1    Liu, S.-C.2
  • 8
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • L. Breiman. "Bagging predictors". In: Machine Learning 24 (1996), pp. 123-140.
    • (1996) Machine Learning , vol.24 , pp. 123-140
    • Breiman, L.1
  • 9
    • 84928671707 scopus 로고    scopus 로고
    • A Re-configurable On-line Learning Spiking Neuromorphic Processor comprising 256 neurons and 128K synapses
    • N. Qiao et al. "A Re-configurable On-line Learning Spiking Neuromorphic Processor comprising 256 neurons and 128K synapses". In: Frontiers in Neuroscience 9.141 (2015).
    • (2015) Frontiers in Neuroscience , vol.9 , Issue.141
    • Qiao, N.1
  • 10
    • 38849206826 scopus 로고    scopus 로고
    • A 128x128 120 dB 15 s latency asynchronous temporal contrast vision sensor
    • Feb.
    • P. Lichtsteiner, C. Posch, and T. Delbruck. "A 128x128 120 dB 15 s Latency Asynchronous Temporal Contrast Vision Sensor". In: IEEE Journal of Solid-State Circuits 43.2 (Feb. 2008), pp. 566-576.
    • (2008) IEEE Journal of Solid-State Circuits , vol.43 , Issue.2 , pp. 566-576
    • Lichtsteiner, P.1    Posch, C.2    Delbruck, T.3
  • 13
    • 27144498986 scopus 로고    scopus 로고
    • Adaptive exponential integrate-and-fire model as an effective description of neuronal activity
    • R. Brette and W. Gerstner. "Adaptive Exponential Integrate-and-Fire Model as an Effective Description of Neuronal Activity". In: Journal of Neurophysiology 94 (2005), pp. 3637-3642.
    • (2005) Journal of Neurophysiology , vol.94 , pp. 3637-3642
    • Brette, R.1    Gerstner, W.2
  • 14
    • 56449095252 scopus 로고    scopus 로고
    • Firing patterns in the adaptive exponential integrate-andfire model
    • Nov.
    • R. Naud, N. Marcille, C. Clopath, and W. Gerstner. "Firing patterns in the adaptive exponential integrate-andfire model". In: Biological Cybernetics 99.4-5 (Nov. 2008), pp. 335-347.
    • (2008) Biological Cybernetics , vol.99 , Issue.4-5 , pp. 335-347
    • Naud, R.1    Marcille, N.2    Clopath, C.3    Gerstner, W.4
  • 15
    • 36248934673 scopus 로고    scopus 로고
    • Learning real world stimuli in a neural network with spike-driven synaptic dynamics
    • J. Brader, W. Senn, and S. Fusi. "Learning real world stimuli in a neural network with spike-driven synaptic dynamics". In: Neural Computation 19 (2007), pp. 2881-2912.
    • (2007) Neural Computation , vol.19 , pp. 2881-2912
    • Brader, J.1    Senn, W.2    Fusi, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.