메뉴 건너뛰기




Volumn 11, Issue 4, 2015, Pages

A reconfigurable digital neuromorphic processor with memristive synaptic crossbar for cognitive computing

Author keywords

Digital neuromorphic processor; Memristor; Reconfigurable; Silicon neuron; Spike timing dependent plasticity; Spiking neural network; Synaptic crossbar array

Indexed keywords

ANALOG TO DIGITAL CONVERSION; CHARACTER RECOGNITION; COST REDUCTION; DIGITAL TO ANALOG CONVERSION; MEMRISTORS; NETWORK ARCHITECTURE; NEURONS; PULSE WIDTH MODULATION; RECONFIGURABLE ARCHITECTURES;

EID: 84928780660     PISSN: 15504832     EISSN: 15504840     Source Type: Journal    
DOI: 10.1145/2700234     Document Type: Article
Times cited : (88)

References (34)
  • 3
    • 0015127532 scopus 로고
    • Memristor - The missing circuit element
    • L. O. Chua. 1971. Memristor - The missing circuit element. IEEE Trans. Circuit Theory 18, 5, 507-519.
    • (1971) IEEE Trans. Circuit Theory , vol.18 , Issue.5 , pp. 507-519
    • Chua, L.O.1
  • 4
    • 33748587024 scopus 로고    scopus 로고
    • Design and basic blocks of a neuromorphic VLSI analogue vision system
    • J. Cosp, J. Madrenas, and D. Fernandez. 2006. Design and basic blocks of a neuromorphic VLSI analogue vision system. Neurocomputing 69, 16-18, 1962-1970.
    • (2006) Neurocomputing , vol.69 , Issue.16-18 , pp. 1962-1970
    • Cosp, J.1    Madrenas, J.2    Fernandez, D.3
  • 5
    • 84861187747 scopus 로고    scopus 로고
    • CMOS and memristor-based neural network design for position detection
    • I. E. Ebong and P. Mazumder. 2012. CMOS and memristor-based neural network design for position detection. Proc. IEEE 100, 6, 2050-2060.
    • (2012) Proc. IEEE , vol.100 , Issue.6 , pp. 2050-2060
    • Ebong, I.E.1    Mazumder, P.2
  • 7
    • 79953272066 scopus 로고    scopus 로고
    • Dynamical properties and design analysis for nonvolatile memristor memories
    • Y. Ho, G. M. Huang, and P. Li. 2011. Dynamical properties and design analysis for nonvolatile memristor memories. IEEE. Trans. Circuits Syst. I, (Reg. Papers), 58, 4, 724-736.
    • (2011) IEEE. Trans. Circuits Syst. I, (Reg. Papers) , vol.58 , Issue.4 , pp. 724-736
    • Ho, Y.1    Huang, G.M.2    Li, P.3
  • 10
    • 33244465845 scopus 로고    scopus 로고
    • A VLSI array of low-power spiking neurons and bistable synapses with spike-timing dependent plasticity
    • G. Indiveri, E. Chicca, and R. Douglas. 2006. A VLSI array of low-power spiking neurons and bistable synapses with spike-timing dependent plasticity. IEEE Trans. Neural Netw.
    • (2006) IEEE Trans. Neural Netw
    • Indiveri, G.1    Chicca, E.2    Douglas, R.3
  • 12
    • 77951026760 scopus 로고    scopus 로고
    • Nanoscale memristor device as synapse in neuromorphic systems
    • S. H. Jo, T. Chang, I. Ebong, B. B. Bhadviya, P. Mazumder, and W. Lu. 2010. Nanoscale memristor device as synapse in neuromorphic systems. Nano Letters 10, 4, 1297-1301.
    • (2010) Nano Letters , vol.10 , Issue.4 , pp. 1297-1301
    • Jo, S.H.1    Chang, T.2    Ebong, I.3    Bhadviya, B.B.4    Mazumder, P.5    Lu, W.6
  • 13
    • 77949683996 scopus 로고    scopus 로고
    • Analysis and design of voltage-controlled oscillator based analog-to-digital converter
    • J. Kim, T.-K. Jang, Y.-G. Yoon, and S. Cho. 2010. Analysis and design of voltage-controlled oscillator based analog-to-digital converter. IEEE. Trans. Circuits Syst. I (Reg. Papers) 57, 1, 18-30.
    • (2010) IEEE. Trans. Circuits Syst. i (Reg. Papers) , vol.57 , Issue.1 , pp. 18-30
    • Kim, J.1    Jang, T.-K.2    Yoon, Y.-G.3    Cho, S.4
  • 14
    • 84855772398 scopus 로고    scopus 로고
    • A functional hybrid memristor crossbar-array/CMOS system for data storage and neuromorphic applications
    • K.-H. Kim, S. Gaba, D. Wheeler, J.M. Cruz-Albrecht, T. Hussain, N. Srinivasa, andW. Lu. 2012. A functional hybrid memristor crossbar-array/CMOS system for data storage and neuromorphic applications. Nano Letters 12, 1, 389-395.
    • (2012) Nano Letters , vol.12 , Issue.1 , pp. 389-395
    • Kim, K.-H.1    Gaba, S.2    Wheeler, D.3    Cruz-Albrecht, J.M.4    Hussain, T.5    Srinivasa, N.6    Lu, W.7
  • 15
    • 84872510545 scopus 로고    scopus 로고
    • A digital neuromorphic VLSI architecture with memristor crossbar synaptic array for machine learning
    • Y. Kim, Y. Zhang, and P. Li. 2012. A digital neuromorphic VLSI architecture with memristor crossbar synaptic array for machine learning. In Proceedings of the IEEE International SOC Conference (SOCC). 328-333.
    • (2012) Proceedings of the IEEE International SOC Conference (SOCC). , pp. 328-333
    • Kim, Y.1    Zhang, Y.2    Li, P.3
  • 16
    • 84859084280 scopus 로고    scopus 로고
    • Design considerations for multilevel CMOS/nano memristive memory
    • Article 6
    • H. Manem, J. Rajendran, and G. S. Rose. 2012. Design considerations for multilevel CMOS/nano memristive memory. ACM J. Emerg. Technol. Comput. Syst. 8, 1, Article 6, 6:1-6:22.
    • (2012) ACM J. Emerg. Technol. Comput. Syst. , vol.8 , Issue.1 , pp. 61-622
    • Manem, H.1    Rajendran, J.2    Rose, G.S.3
  • 20
    • 60149108117 scopus 로고    scopus 로고
    • Real-time classification of complex patterns using spike-based learning in neuromorphic VLSI
    • S. Mitra, S. Fusi, and G. Indiveri. 2009. Real-time classification of complex patterns using spike-based learning in neuromorphic VLSI. IEEE Trans. Biomed. Circuits Syst. 3, 1, 32-42.
    • (2009) IEEE Trans. Biomed. Circuits Syst. , vol.3 , Issue.1 , pp. 32-42
    • Mitra, S.1    Fusi, S.2    Indiveri, G.3
  • 22
    • 77955049562 scopus 로고    scopus 로고
    • Experimental demonstration of associative memory with memristive neural networks
    • Y. V. Pershin and M. D. Ventra. 2010. Experimental demonstration of associative memory with memristive neural networks. Neural Netw. 23, 7, 881-886.
    • (2010) Neural Netw. , vol.23 , Issue.7 , pp. 881-886
    • Pershin, Y.V.1    Ventra, M.D.2
  • 23
    • 84877850976 scopus 로고    scopus 로고
    • Immunity to device variations in a spiking neural network with memristive nanodevices
    • D. Querlioz, O. Bichler, P. Dollfus, and C. Gamrat. 2013. Immunity to device variations in a spiking neural network with memristive nanodevices. IEEE Trans. Nanotechnol. 12, 3, 288-295.
    • (2013) IEEE Trans. Nanotechnol. , vol.12 , Issue.3 , pp. 288-295
    • Querlioz, D.1    Bichler, O.2    Dollfus, P.3    Gamrat, C.4
  • 30
    • 0034760630 scopus 로고    scopus 로고
    • Building blocks for electronic spiking neural networks
    • A. van Schaik. 2001. Building blocks for electronic spiking neural networks. Neural Netw. 14, 6-7, 617-628.
    • (2001) Neural Netw. , vol.14 , Issue.6-7 , pp. 617-628
    • Van Schaik, A.1
  • 31
    • 40849083456 scopus 로고    scopus 로고
    • Compact silicon neuron circuit with spiking and bursting behaviour
    • J. H. B. Wijekoon and P. Dudek. 2008. Compact silicon neuron circuit with spiking and bursting behaviour. Neural Netw. 21, 2-3, 524-534.
    • (2008) Neural Netw. , vol.21 , Issue.2-3 , pp. 524-534
    • Wijekoon, J.H.B.1    Dudek, P.2
  • 33
    • 84885570987 scopus 로고    scopus 로고
    • Memristive devices in computing system: Promises and challenges
    • J. J. Yang and R. S.Williams. 2013. Memristive devices in computing system: Promises and challenges. ACM J. Emerg. Technol. Comput. Syst. 9, 2, 11:1-11:20.
    • (2013) ACM J. Emerg. Technol. Comput. Syst. , vol.9 , Issue.2 , pp. 111-1120
    • Yang, J.J.1    Williams, R.S.2
  • 34
    • 58049216345 scopus 로고    scopus 로고
    • A time-based bandpass ADC using time-interleaved voltagecontrolled oscillators
    • Y.-G. Yoon, J. Kim, T.-K. Jang, and S. Cho. 2008. A time-based bandpass ADC using time-interleaved voltagecontrolled oscillators. IEEE. Trans. Circuits Syst. I, (Reg. Papers) 55, 11, 3571-3581.
    • (2008) IEEE. Trans. Circuits Syst. I, (Reg. Papers) , vol.55 , Issue.11 , pp. 3571-3581
    • Yoon, Y.-G.1    Kim, J.2    Jang, T.-K.3    Cho, S.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.