메뉴 건너뛰기




Volumn 5, Issue , 2015, Pages

Electronic system with memristive synapses for pattern recognition

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; ELECTROENCEPHALOGRAPHY; ELECTRONICS; HUMAN; IMAGINATION; LEARNING; PHYSIOLOGY; PROCEDURES; SIGNAL PROCESSING; SPEECH; SYNAPSE;

EID: 84929223664     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/srep10123     Document Type: Article
Times cited : (166)

References (21)
  • 1
    • 4644246168 scopus 로고    scopus 로고
    • Synchrony detection and amplification by silicon neurons with STDP synapses
    • Bofill-i-Petit, A. & Murray, A. F. Synchrony detection and amplification by silicon neurons with STDP synapses. IEEE Trans. Neural Netw. 15, 1296-1304 (2004).
    • (2004) IEEE Trans. Neural Netw. , vol.15 , pp. 1296-1304
    • Bofill-I-Petit, A.1    Murray, A.F.2
  • 2
    • 33947370279 scopus 로고    scopus 로고
    • A pulsed neural network with on-chip learning and its practical applications
    • Zhuang, H., Low, K.-S. & Yau, W.-Y. A Pulsed Neural Network With On-Chip Learning and Its Practical Applications. IEEE Trans. Ind. Electron. 54, 34-42 (2007).
    • (2007) IEEE Trans. Ind. Electron. , vol.54 , pp. 34-42
    • Zhuang, H.1    Low, K.-S.2    Yau, W.-Y.3
  • 3
    • 33847642036 scopus 로고    scopus 로고
    • Analog vlsi circuit implementation of an adaptive neuromorphic olfaction chip
    • Koickal, T. J. et al. Analog VLSI Circuit Implementation of an Adaptive Neuromorphic Olfaction Chip. IEEE Trans. Circuits Syst. Regul. Pap. 54, 60-73 (2007).
    • (2007) IEEE Trans. Circuits Syst. Regul. Pap. , vol.54 , pp. 60-73
    • Koickal, T.J.1
  • 4
    • 0242611584 scopus 로고    scopus 로고
    • Scene segmentation using neuromorphic oscillatory networks
    • Cosp, J. & Madrenas, J. Scene segmentation using neuromorphic oscillatory networks. IEEE Trans. Neural Netw. 14, 1278-1296 (2003).
    • (2003) IEEE Trans. Neural Netw. , vol.14 , pp. 1278-1296
    • Cosp, J.1    Madrenas, J.2
  • 5
    • 84897963931 scopus 로고    scopus 로고
    • An event-based neural network architecture with an asynchronous programmable synaptic memory
    • Moradi, S. & Indiveri, G. An Event-Based Neural Network Architecture With an Asynchronous Programmable Synaptic Memory. IEEE Trans. Biomed. Circuits Syst. 8, 98-107 (2014).
    • (2014) IEEE Trans. Biomed. Circuits Syst. , vol.8 , pp. 98-107
    • Moradi, S.1    Indiveri, G.2
  • 6
    • 84905915006 scopus 로고    scopus 로고
    • A million spiking-neuron integrated circuit with a scalable communication network and interface
    • Merolla, P. A. et al. A million spiking-neuron integrated circuit with a scalable communication network and interface. Science 345, 668-673 (2014).
    • (2014) Science , vol.345 , pp. 668-673
    • Merolla, P.A.1
  • 7
    • 78649481350 scopus 로고    scopus 로고
    • Artificial neural networks in hardware: A survey of two decades of progress
    • Misra, J. & Saha, I. Artificial neural networks in hardware: A survey of two decades of progress. Neurocomputing 74, 239-255 (2010).
    • (2010) Neurocomputing , vol.74 , pp. 239-255
    • Misra, J.1    Saha, I.2
  • 8
    • 84900521434 scopus 로고    scopus 로고
    • Neurogrid: A mixed-analog-digital multichip system for large-scale neural simulations
    • Benjamin, B. V. et al. Neurogrid: A Mixed-Analog-Digital Multichip System for Large-Scale Neural Simulations. Proc. IEEE 102, 699-716 (2014).
    • (2014) Proc. IEEE , vol.102 , pp. 699-716
    • Benjamin, B.V.1
  • 9
    • 84910605765 scopus 로고    scopus 로고
    • Contrastive divergence for memristor-based restricted Boltzmann machines
    • Sheri, A, Raflque, A, Pedrycz, W, & Jeon, M. Contrastive divergence for memristor-based restricted Boltzmann machines. ENG APPL ARTIF INTEL. 37, 336-342 (2015).
    • (2015) ENG APPL ARTIF INTEL. , vol.37 , pp. 336-342
    • Sheri, A.1    Raflque, A.2    Pedrycz, W.3    Jeon, M.4
  • 10
    • 84861089198 scopus 로고    scopus 로고
    • Nanoelectronic programmable synapses based on phase change materials for brain-inspired computing
    • Kuzum, D., Jeyasingh, R. G. D., Lee, B. & Wong, H.-S. P. Nanoelectronic Programmable Synapses Based on Phase Change Materials for Brain-Inspired Computing. Nano Lett. 12, 2179-2186 (2012).
    • (2012) Nano Lett. , vol.12 , pp. 2179-2186
    • Kuzum, D.1    Jeyasingh, R.G.D.2    Lee, B.3    Wong, H.-S.P.4
  • 11
    • 84876111279 scopus 로고    scopus 로고
    • CBRAM devices as binary synapses for low-power stochastic neuromorphic systems: Auditory (Cochlea) and visual (Retina) cognitive processing applications
    • Suri, M. et al. CBRAM devices as binary synapses for low-power stochastic neuromorphic systems: Auditory (Cochlea) and visual (Retina) cognitive processing applications. in Electron Devices Meeting (IEDM), 2012 IEEE International 10.3.1-10.3.4 (2012). doi:10.1109/IEDM.2012.6479017
    • (2012) Electron Devices Meeting (IEDM)2012 IEEE International 10.3.1-10.3.4
    • Suri, M.1
  • 12
    • 84875158827 scopus 로고    scopus 로고
    • A low energy oxide-based electronic synaptic device for neuromorphic visual systems with tolerance to device variation
    • Yu, S. et al. A Low Energy Oxide-Based Electronic Synaptic Device for Neuromorphic Visual Systems with Tolerance to Device Variation. Adv. Mater. 25, 1774-1779 (2013).
    • (2013) Adv. Mater. , vol.25 , pp. 1774-1779
    • Yu, S.1
  • 13
    • 84896979826 scopus 로고    scopus 로고
    • Pattern classification by memristive crossbar circuits using ex situ and in situ training
    • Alibart, F., Zamanidoost, E. & Strukov, D. B. Pattern classification by memristive crossbar circuits using ex situ and in situ training. Nat. Commun. 4, (2013).
    • (2013) Nat. Commun. , vol.4
    • Alibart, F.1    Zamanidoost, E.2    Strukov, D.B.3
  • 14
    • 84883524945 scopus 로고    scopus 로고
    • Nanoscale RRAM-based synaptic electronics: Toward a neuromorphic computing device
    • Park, S. et al. Nanoscale RRAM-based synaptic electronics: Toward a neuromorphic computing device. Nanotechnology 24, 384009 (2013).
    • (2013) Nanotechnology , vol.24 , pp. 384009
    • Park, S.1
  • 15
    • 84869123167 scopus 로고    scopus 로고
    • Self-formed Schottky barrier induced selector-less RRAM for cross-point memory applications
    • Park, S. et al. Self-formed Schottky barrier induced selector-less RRAM for cross-point memory applications. Phys. Status Solidi RRL-Rapid Res. Lett. 6, 454-456 (2012).
    • (2012) Phys. Status Solidi RRL-Rapid Res. Lett. , vol.6 , pp. 454-456
    • Park, S.1
  • 17
    • 63649138779 scopus 로고    scopus 로고
    • High-density crossbar arrays based on a si memristive system
    • Jo, S. H., Kim, K.-H. & Lu, W. High-Density Crossbar Arrays Based on a Si Memristive System. Nano Lett. 9, 870-874 (2009).
    • (2009) Nano Lett. , vol.9 , pp. 870-874
    • Jo, S.H.1    Kim, K.-H.2    Lu, W.3
  • 18
    • 84907193005 scopus 로고    scopus 로고
    • A nitrogen-treated memristive device for tunable electronic synapses
    • Park, S. et al. A nitrogen-treated memristive device for tunable electronic synapses. Semicond. Sci. Technol. 29, 104006-104010 (2014).
    • (2014) Semicond. Sci. Technol. , vol.29 , pp. 104006-104010
    • Park, S.1
  • 20
    • 84905109766 scopus 로고    scopus 로고
    • Crossbar rram arrays: Selector device requirements during write operation
    • Kim, S., Zhou, J. & Lu, W. D. Crossbar RRAM Arrays: Selector Device Requirements During Write Operation. IEEE Trans. Electron Devices 61, 2820-2826 (2014).
    • (2014) IEEE Trans. Electron Devices , vol.61 , pp. 2820-2826
    • Kim, S.1    Zhou, J.2    Lu, W.D.3
  • 21
    • 84924872194 scopus 로고    scopus 로고
    • Neuromorphic hardware system for visual pattern recognition with memristor array and cmos neuron
    • Chu, M. et al. Neuromorphic Hardware System for Visual Pattern Recognition with Memristor Array and CMOS Neuron. IEEE Trans. Ind. Electron. 62, 2410-2419 (2015).
    • (2015) IEEE Trans. Ind. Electron. , vol.62 , pp. 2410-2419
    • Chu, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.