메뉴 건너뛰기




Volumn 103, Issue 8, 2015, Pages 1398-1416

Bioinspired Programming of Memory Devices for Implementing an Inference Engine

Author keywords

Inference; memory devices; neural networks

Indexed keywords

DATA STORAGE EQUIPMENT; ENGINES; IMAGE RECOGNITION; INFERENCE ENGINES; INTELLIGENT SYSTEMS; LEARNING ALGORITHMS; MACHINE LEARNING; MAXIMUM PRINCIPLE; MEMRISTORS; MONTE CARLO METHODS; NEURAL NETWORKS; PATTERN RECOGNITION SYSTEMS; STOCHASTIC SYSTEMS; TUNNEL JUNCTIONS;

EID: 84937232492     PISSN: 00189219     EISSN: 15582256     Source Type: Journal    
DOI: 10.1109/JPROC.2015.2437616     Document Type: Article
Times cited : (129)

References (97)
  • 1
    • 49249135216 scopus 로고    scopus 로고
    • Convergence of recognition, mining, synthesis workloads and its implications
    • May
    • Y.-K. Chen et al., "Convergence of recognition, mining, synthesis workloads and its implications," Proc. IEEE, vol. 96, no. 5, pp. 790-807, May 2008.
    • (2008) Proc. IEEE , vol.96 , Issue.5 , pp. 790-807
    • Chen, Y.-K.1
  • 2
    • 84890478042 scopus 로고    scopus 로고
    • Building high-level features using large scale unsupervised learning
    • Q. V. Le et al., "Building high-level features using large scale unsupervised learning," in Proc. Int. Conf. Mach. Learn., 2012, pp. 8595-8598.
    • Proc. Int. Conf. Mach. Learn., 2012 , pp. 8595-8598
    • Le, Q.V.1
  • 3
    • 55449122987 scopus 로고    scopus 로고
    • Overview of candidate device technologies for storage-class memory
    • G. W. Burr et al., "Overview of candidate device technologies for storage-class memory," IBM J. Res. Dev., vol. 52, pp. 449-464, 2008.
    • (2008) IBM J. Res. Dev. , vol.52 , pp. 449-464
    • Burr, G.W.1
  • 4
  • 5
    • 77951026760 scopus 로고    scopus 로고
    • Nanoscale memristor device as synapse in neuromorphic systems
    • Apr.
    • S. H. Jo et al., "Nanoscale memristor device as synapse in neuromorphic systems," Nano Lett., vol. 10, no. 4, pp. 1297-1301, Apr. 2010.
    • (2010) Nano Lett. , vol.10 , Issue.4 , pp. 1297-1301
    • Jo, S.H.1
  • 6
    • 34247155811 scopus 로고    scopus 로고
    • Spin-transfer torque switching in magnetic tunnel junctions and spin-transfer torque random access memory
    • Apr.
    • Z. Diao et al., "Spin-transfer torque switching in magnetic tunnel junctions and spin-transfer torque random access memory," J. Phys., Condensed Matter, vol. 19, no. 16, Apr. 2007, Art. ID. 165209.
    • (2007) J. Phys., Condensed Matter , vol.19 , Issue.16
    • Diao, Z.1
  • 7
    • 84856999285 scopus 로고    scopus 로고
    • On the stochastic nature of resistive switching in metal oxide RRAM: Physical modeling, Monte Carlo simulation, experimental characterization
    • S. Yu, X. Guan, and H.-S. Wong, "On the stochastic nature of resistive switching in metal oxide RRAM: Physical modeling, Monte Carlo simulation, experimental characterization," in Proc. IEEE Int. Electron Devices Meeting, Dec. 2011, pp. 17-3.1-17.3.4.
    • Proc. IEEE Int. Electron Devices Meeting, Dec. 2011 , pp. 17.3.1-17.3.4
    • Yu, S.1    Guan, X.2    Wong, H.-S.3
  • 8
    • 38949176844 scopus 로고    scopus 로고
    • Single-shot time-resolved measurements of nanosecond-scale spin-transfer induced switching: Stochastic versus deterministic aspects
    • Feb.
    • T. Devolder et al., "Single-shot time-resolved measurements of nanosecond-scale spin-transfer induced switching: Stochastic versus deterministic aspects," Phys. Rev. Lett., vol. 100, no. 5, Feb. 2008, Art. ID. 057206.
    • (2008) Phys. Rev. Lett. , vol.100 , Issue.5
    • Devolder, T.1
  • 9
    • 33745712893 scopus 로고    scopus 로고
    • Variability, compensation and homeostasis in neuron and network function
    • Jul.
    • E. Marder and J.-M. Goaillard, "Variability, compensation and homeostasis in neuron and network function," Nature Rev. Neurosci., vol. 7, no. 7, pp. 563-574, Jul. 2006.
    • (2006) Nature Rev. Neurosci. , vol.7 , Issue.7 , pp. 563-574
    • Marder, E.1    Goaillard, J.-M.2
  • 10
    • 70249115683 scopus 로고    scopus 로고
    • Memristive model of amoeba learning
    • Y. V. Pershin, S. La Fontaine, and M. Di Ventra, "Memristive model of amoeba learning," Phys. Rev. E, vol. 80, no. 2, 2009, Art. ID. 021926.
    • (2009) Phys. Rev. E , vol.80 , Issue.2
    • Pershin, Y.V.1    La Fontaine, S.2    Di Ventra, M.3
  • 11
  • 12
    • 61649104641 scopus 로고    scopus 로고
    • Programmable resistance switching in nanoscale two-terminal devices
    • Jan.
    • S. H. Jo, K.-H. Kim, and W. Lu, "Programmable resistance switching in nanoscale two-terminal devices," Nano Lett., vol. 9, no. 1, pp. 496-500, Jan. 2009.
    • (2009) Nano Lett. , vol.9 , Issue.1 , pp. 496-500
    • Jo, S.H.1    Kim, K.-H.2    Lu, W.3
  • 13
    • 34548685897 scopus 로고    scopus 로고
    • Self-organized computation with unreliable, memristive nanodevices
    • Sep.
    • G. S. Snider, "Self-organized computation with unreliable, memristive nanodevices,"Nanotechnology, vol. 18, no. 36, Sep. 2007, Art. no. 365202.
    • (2007) Nanotechnology , vol.18 , Issue.36
    • Snider, G.S.1
  • 14
    • 79956129424 scopus 로고    scopus 로고
    • Analog memory and spike-timing-dependent plasticity characteristics of a nanoscale titanium oxide bilayer resistive switching device
    • Jun.
    • K. Seo et al., "Analog memory and spike-timing-dependent plasticity characteristics of a nanoscale titanium oxide bilayer resistive switching device," Nanotechnology, vol. 22, no. 25, Jun. 2011, Art. ID. 254023.
    • (2011) Nanotechnology , vol.22 , Issue.25
    • Seo, K.1
  • 15
    • 78649765239 scopus 로고    scopus 로고
    • The brain of a new machine
    • Dec.
    • M. Versace and B. Chandler, "The brain of a new machine," IEEE Spectrum, vol. 47, no. 12, pp. 30-37, Dec. 2010.
    • (2010) IEEE Spectrum , vol.47 , Issue.12 , pp. 30-37
    • Versace, M.1    Chandler, B.2
  • 16
    • 80054729052 scopus 로고    scopus 로고
    • Simulation of a memristor-based spiking neural network immune to device variations
    • D. Querlioz, O. Bichler, and C. Gamrat, "Simulation of a memristor-based spiking neural network immune to device variations,"in Proc. Int. Joint Conf. Neural Netw., 2011, pp. 1775-1781.
    • Proc. Int. Joint Conf. Neural Netw., 2011 , pp. 1775-1781
    • Querlioz, D.1    Bichler, O.2    Gamrat, C.3
  • 17
    • 84856999635 scopus 로고    scopus 로고
    • Phase change memory as synapse for ultra-dense neuromorphic systems: Application to complex visual pattern extraction
    • M. Suri et al., "Phase change memory as synapse for ultra-dense neuromorphic systems: Application to complex visual pattern extraction," in Proc. IEEE Int. Electron Devices Meeting, Dec. 2011, pp. 4-4.1-4.4.4.
    • Proc. IEEE Int. Electron Devices Meeting, Dec. 2011 , pp. 4.4.1-4.4.4
    • Suri, M.1
  • 18
    • 79960834019 scopus 로고    scopus 로고
    • An electronic synapse device based on metal oxide resistive switching memory for neuromorphic computation
    • Aug.
    • S. Yu, Y. Wu, R. Jeyasingh, D. Kuzum, and H. P. Wong, "An electronic synapse device based on metal oxide resistive switching memory for neuromorphic computation,"IEEE Trans. Electron Devices, vol. 58, no. 8, pp. 2729-2737, Aug. 2011.
    • (2011) IEEE Trans. Electron Devices , vol.58 , Issue.8 , pp. 2729-2737
    • Yu, S.1    Wu, Y.2    Jeyasingh, R.3    Kuzum, D.4    Wong, H.P.5
  • 19
    • 84859124199 scopus 로고    scopus 로고
    • Material memristive device circuits with synaptic plasticity: Learning and memory
    • Apr.
    • V. Erokhin et al., "Material memristive device circuits with synaptic plasticity: Learning and memory," BioNanoScience, vol. 1, no. 1-2, pp. 24-30, Apr. 2011.
    • (2011) BioNanoScience , vol.1 , Issue.1-2 , pp. 24-30
    • Erokhin, V.1
  • 20
    • 84866735724 scopus 로고    scopus 로고
    • A ferroelectric memristor
    • A. Chanthbouala et al., "A ferroelectric memristor," Nature Mater., vol. 11, no. 10, pp. 860-864, 2012.
    • (2012) Nature Mater. , vol.11 , Issue.10 , pp. 860-864
    • Chanthbouala, A.1
  • 21
    • 84883543408 scopus 로고    scopus 로고
    • Integration of nanoscale memristor synapses in neuromorphic computing architectures
    • Sep.
    • G. Indiveri, B. Linares-Barranco, R. Legenstein, G. Deligeorgis, and T. Prodromakis, "Integration of nanoscale memristor synapses in neuromorphic computing architectures," Nanotechnology, vol. 24, no. 38, Sep. 2013, Art. ID. 384010.
    • (2013) Nanotechnology , vol.24 , Issue.38
    • Indiveri, G.1    Linares-Barranco, B.2    Legenstein, R.3    Deligeorgis, G.4    Prodromakis, T.5
  • 22
    • 84863749739 scopus 로고    scopus 로고
    • Spin-based neuron model with domain-wall magnets as synapse
    • Jul.
    • M. Sharad, C. Augustine, G. Panagopoulos, and K. Roy, "Spin-based neuron model with domain-wall magnets as synapse," IEEE Trans. Nanotechnol., vol. 11, no. 4, pp. 843-853, Jul. 2012.
    • (2012) IEEE Trans. Nanotechnol. , vol.11 , Issue.4 , pp. 843-853
    • Sharad, M.1    Augustine, C.2    Panagopoulos, G.3    Roy, K.4
  • 23
    • 34249809769 scopus 로고    scopus 로고
    • Defect-tolerant nanoelectronic pattern classifiers
    • May
    • J. H. Lee and K. K. Likharev, "Defect-tolerant nanoelectronic pattern classifiers," Int. J. Circuit Theory Appl., vol. 35, no. 3, pp. 239-264, May 2007.
    • (2007) Int. J. Circuit Theory Appl. , vol.35 , Issue.3 , pp. 239-264
    • Lee, J.H.1    Likharev, K.K.2
  • 24
    • 80052632703 scopus 로고    scopus 로고
    • Hebbian learning in spiking neural networks with nanocrystalline silicon TFTs and memristive synapses
    • Sep.
    • K. Cantley, A. Subramaniam, H. Stiegler, R. Chapman, and E. Vogel, "Hebbian learning in spiking neural networks with nanocrystalline silicon TFTs and memristive synapses,"IEEE Trans. Nanotechnol., vol. 10, no. 5, pp. 1066-1073, Sep. 2011.
    • (2011) IEEE Trans. Nanotechnol. , vol.10 , Issue.5 , pp. 1066-1073
    • Cantley, K.1    Subramaniam, A.2    Stiegler, H.3    Chapman, R.4    Vogel, E.5
  • 25
    • 84892581808 scopus 로고    scopus 로고
    • Robust learning approach for neuro-inspired nanoscale crossbar architecture
    • Jan.
    • D. Chabi, D. Querlioz, W. Zhao, and J.-O. Klein, "Robust learning approach for neuro-inspired nanoscale crossbar architecture,"J. Emerging Technol. Comput. Syst., vol. 10, no. 1, pp. 5:1-5:20, Jan. 2014.
    • (2014) J. Emerging Technol. Comput. Syst. , vol.10 , Issue.1 , pp. 5:1-5:20
    • Chabi, D.1    Querlioz, D.2    Zhao, W.3    Klein, J.-O.4
  • 26
    • 84883513485 scopus 로고    scopus 로고
    • Neuromorphic function learning with carbon nanotube based synapses
    • Sep.
    • K. Gacem et al., "Neuromorphic function learning with carbon nanotube based synapses," Nanotechnology, vol. 24, no. 38, Sep. 2013, Art. ID. 384013.
    • (2013) Nanotechnology , vol.24 , Issue.38
    • Gacem, K.1
  • 27
    • 80052875968 scopus 로고    scopus 로고
    • Design and modeling of a neuro-inspired learning circuit using nanotube-based memory devices
    • Sep.
    • S.-Y. Liao et al., "Design and modeling of a neuro-inspired learning circuit using nanotube-based memory devices," IEEE Trans. Circuits Syst. I, Reg. Papers, vol. 58, no. 9, pp. 2172-2181, Sep. 2011.
    • (2011) IEEE Trans. Circuits Syst. I, Reg. Papers , vol.58 , Issue.9 , pp. 2172-2181
    • Liao, S.-Y.1
  • 29
    • 84928040161 scopus 로고    scopus 로고
    • Plasticity in memristive devices for spiking neural networks
    • S. SaBghi et al., "Plasticity in memristive devices for spiking neural networks," Front. Neurosci, vol. 9, 2015, DOI: 10.3389/fnins.2015.00051.
    • (2015) Front. Neurosci , vol.9
    • SaBghi, S.1
  • 30
    • 80255127113 scopus 로고    scopus 로고
    • Neuromorphic silicon neuron circuits
    • G. Indiveri et al., "Neuromorphic silicon neuron circuits," Front. Neuromorphic Eng., vol. 5, 2011, DOI: 10.3389/fnins.2011.00073.
    • (2011) Front. Neuromorphic Eng. , vol.5
    • Indiveri, G.1
  • 31
    • 84900521434 scopus 로고    scopus 로고
    • Neurogrid: A mixed-analog-digital multichip system for large-scale neural simulations
    • May
    • B. Benjamin et al., "Neurogrid: A mixed-analog-digital multichip system for large-scale neural simulations," Proc. IEEE, vol. 102, no. 5, pp. 699-716, May 2014.
    • (2014) Proc. IEEE , vol.102 , Issue.5 , pp. 699-716
    • Benjamin, B.1
  • 32
    • 84905915006 scopus 로고    scopus 로고
    • A million spiking-neuron integrated circuit with a scalable communication network and interface
    • Aug.
    • P. A. Merolla et al., "A million spiking-neuron integrated circuit with a scalable communication network and interface," Science, vol. 345, no. 6197, pp. 668-673, Aug. 2014.
    • (2014) Science , vol.345 , Issue.6197 , pp. 668-673
    • Merolla, P.A.1
  • 33
    • 84900504664 scopus 로고    scopus 로고
    • The SpiNNaker project
    • May
    • S. Furber, F. Galluppi, S. Temple, and L. Plana, "The SpiNNaker project," Proc. IEEE, vol. 102, no. 5, pp. 652-665, May 2014.
    • (2014) Proc. IEEE , vol.102 , Issue.5 , pp. 652-665
    • Furber, S.1    Galluppi, F.2    Temple, S.3    Plana, L.4
  • 34
    • 77955993002 scopus 로고    scopus 로고
    • A wafer-scale neuromorphic hardware system for large-scale neural modeling
    • J. Schemmel et al., "A wafer-scale neuromorphic hardware system for large-scale neural modeling," in Proc. IEEE Int. Symp. Circuits Syst., Jun. 2010, pp. 1947-1950.
    • Proc. IEEE Int. Symp. Circuits Syst., Jun. 2010 , pp. 1947-1950
    • Schemmel, J.1
  • 35
    • 0004116444 scopus 로고
    • Reading, MA, USA: Addison Wesley, Jan.
    • st ed., Reading, MA, USA: Addison Wesley, Jan., 1989.
    • (1989) st Ed.
    • Mead, C.1
  • 36
    • 84876928403 scopus 로고    scopus 로고
    • Bayesian computation emerges in generic cortical microcircuits through spike-timing-dependent plasticity
    • Apr.
    • B. Nessler, M. Pfeiffer, L. Buesing, and W. Maass, "Bayesian computation emerges in generic cortical microcircuits through spike-timing-dependent plasticity," PLoS Comput. Biol., vol. 9, no. 4, Apr. 2013 DOI: 10.1371/journal.pcbi.1003037.
    • (2013) PLoS Comput. Biol. , vol.9 , Issue.4
    • Nessler, B.1    Pfeiffer, M.2    Buesing, L.3    Maass, W.4
  • 37
    • 0034928712 scopus 로고    scopus 로고
    • Synaptic modification by correlated activity: Hebb's postulate revisited
    • Mar.
    • G.-Q. Bi and M.-M. Poo, "Synaptic modification by correlated activity: Hebb's postulate revisited," Annu. Rev. Neurosci., vol. 24, no. 1, pp. 139-166, Mar. 2001.
    • (2001) Annu. Rev. Neurosci. , vol.24 , Issue.1 , pp. 139-166
    • Bi, G.-Q.1    Poo, M.-M.2
  • 38
    • 79959810393 scopus 로고    scopus 로고
    • A tutorial introduction to Bayesian models of cognitive development
    • Sep.
    • A. Perfors, J. B. Tenenbaum, T. L. Griffiths, and F. Xu, "A tutorial introduction to Bayesian models of cognitive development,"Cognition, vol. 120, no. 3, pp. 302-321, Sep. 2011.
    • (2011) Cognition , vol.120 , Issue.3 , pp. 302-321
    • Perfors, A.1    Tenenbaum, J.B.2    Griffiths, T.L.3    Xu, F.4
  • 39
    • 0031012615 scopus 로고    scopus 로고
    • Regulation of synaptic efficacy by coincidence of postsynaptic APs and EPSPs
    • Jan.
    • H. Markram, J. Lubke, M. Frotscher, and B. Sakmann, "Regulation of synaptic efficacy by coincidence of postsynaptic APs and EPSPs," Science, vol. 275, no. 5297, pp. 213-215, Jan. 1997.
    • (1997) Science , vol.275 , Issue.5297 , pp. 213-215
    • Markram, H.1    Lubke, J.2    Frotscher, M.3    Sakmann, B.4
  • 40
    • 0033667165 scopus 로고    scopus 로고
    • Synaptic plasticity: Taming the beast
    • L. F. Abbott and S. B. Nelson, "Synaptic plasticity: Taming the beast," Nature Neurosci., vol. 3, pp. 1178-1183, 2000.
    • (2000) Nature Neurosci. , vol.3 , pp. 1178-1183
    • Abbott, L.F.1    Nelson, S.B.2
  • 41
    • 42049096091 scopus 로고    scopus 로고
    • Dendritic excitability and synaptic plasticity
    • Apr.
    • P. J. Sjöström, E. A. Rancz, A. Roth, and M. Häusser, "Dendritic excitability and synaptic plasticity," Physiol. Rev., vol. 88, no. 2, pp. 769-840, Apr. 2008.
    • (2008) Physiol. Rev. , vol.88 , Issue.2 , pp. 769-840
    • Sjöström, P.J.1    Rancz, E.A.2    Roth, A.3    Häusser, M.4
  • 42
    • 36248934673 scopus 로고    scopus 로고
    • Learning real-world stimuli in a neural network with spike-driven synaptic dynamics
    • Nov.
    • J. M. Brader, W. Senn, and S. Fusi, "Learning real-world stimuli in a neural network with spike-driven synaptic dynamics," Neural Comput., vol. 19, no. 11, pp. 2881-2912, Nov. 2007.
    • (2007) Neural Comput. , vol.19 , Issue.11 , pp. 2881-2912
    • Brader, J.M.1    Senn, W.2    Fusi, S.3
  • 43
    • 33847275584 scopus 로고    scopus 로고
    • Unsupervised learning of visual features through spike timing dependent plasticity
    • Feb.
    • T. Masquelier and S. J. Thorpe, "Unsupervised learning of visual features through spike timing dependent plasticity," PLoS Comput. Biol., vol. 3, no. 2, Feb. 2007, DOI: 10.1371/journal.pcbi.0030031.
    • (2007) PLoS Comput. Biol. , vol.3 , Issue.2
    • Masquelier, T.1    Thorpe, S.J.2
  • 44
    • 38949179110 scopus 로고    scopus 로고
    • Spike timing dependent plasticity finds the start of repeating patterns in continuous spike trains
    • Jan.
    • T. Masquelier, R. Guyonneau, and S. J. Thorpe, "Spike timing dependent plasticity finds the start of repeating patterns in continuous spike trains," PLoS ONE, vol. 3, no. 1, Jan. 2008, DOI: 10.1371/journal.pone.0001377.
    • (2008) PLoS ONE , vol.3 , Issue.1
    • Masquelier, T.1    Guyonneau, R.2    Thorpe, S.J.3
  • 45
    • 33746600649 scopus 로고    scopus 로고
    • Reducing the dimensionality of data with neural networks
    • Jul.
    • G. E. Hinton and R. R. Salakhutdinov, "Reducing the dimensionality of data with neural networks," Science, vol. 313, no. 5786, pp. 504-507, Jul. 2006.
    • (2006) Science , vol.313 , Issue.5786 , pp. 504-507
    • Hinton, G.E.1    Salakhutdinov, R.R.2
  • 46
    • 0032203257 scopus 로고    scopus 로고
    • Gradient-based learning applied to document recognition
    • Nov.
    • Y. Lecun, L. Bottou, Y. Bengio, and P. Haffner, "Gradient-based learning applied to document recognition," Proc. IEEE, vol. 86, no. 11, pp. 2278-2324, Nov. 1998.
    • (1998) Proc. IEEE , vol.86 , Issue.11 , pp. 2278-2324
    • Lecun, Y.1    Bottou, L.2    Bengio, Y.3    Haffner, P.4
  • 48
    • 84878919540 scopus 로고    scopus 로고
    • Image net classification with deep convolutional neural networks
    • Cambridge, MA, USA: MIT Press
    • A. Krizhevsky, I. Sutskever, and G. Hinton, "Image net classification with deep convolutional neural networks Advances in Neural Information Processing Systems, vol. 25. Cambridge, MA, USA: MIT Press, 2012, pp. 1106-1114.
    • (2012) Advances in Neural Information Processing Systems , vol.25 , pp. 1106-1114
    • Krizhevsky, A.1    Sutskever, I.2    Hinton, G.3
  • 49
    • 33846099276 scopus 로고    scopus 로고
    • Learning in silicon: Timing is everything
    • Cambridge, MA, USA: MIT Press
    • J. V. Arthur and K. A. Boahen, "Learning in silicon: Timing is everything Advances in Neural Information Processing Systems, vol. 18. Cambridge, MA, USA: MIT Press, 2006, pp. 281-1185.
    • (2006) Advances in Neural Information Processing Systems , vol.18 , pp. 281-1185
    • Arthur, J.V.1    Boahen, K.A.2
  • 50
    • 33244465845 scopus 로고    scopus 로고
    • A VLSI array of low-power spiking neurons and bistable synapses with spike-timing dependent plasticity
    • Jan.
    • G. Indiveri, E. Chicca, and R. Douglas, "A VLSI array of low-power spiking neurons and bistable synapses with spike-timing dependent plasticity," IEEE Trans. Neural Netw., vol. 17, no. 1, pp. 211-221, Jan. 2006.
    • (2006) IEEE Trans. Neural Netw. , vol.17 , Issue.1 , pp. 211-221
    • Indiveri, G.1    Chicca, E.2    Douglas, R.3
  • 51
    • 84900482869 scopus 로고    scopus 로고
    • Spike-based synaptic plasticity in silicon: Design, implementation, application, challenges
    • May
    • M. Azghadi, N. Iannella, S. Al-Sarawi, G. Indiveri, and D. Abbott, "Spike-based synaptic plasticity in silicon: Design, implementation, application, challenges," Proc. IEEE, vol. 102, no. 5, pp. 717-737, May 2014.
    • (2014) Proc. IEEE , vol.102 , Issue.5 , pp. 717-737
    • Azghadi, M.1    Iannella, N.2    Al-Sarawi, S.3    Indiveri, G.4    Abbott, D.5
  • 53
    • 84856720048 scopus 로고    scopus 로고
    • A memristive nanoparticle/organic hybrid synapstor for neuroinspired computing
    • F. Alibart et al., "A memristive nanoparticle/organic hybrid synapstor for neuroinspired computing," Adv. Funct. Mater., vol. 22, no. 3, pp. 609-616, 2012.
    • (2012) Adv. Funct. Mater. , vol.22 , Issue.3 , pp. 609-616
    • Alibart, F.1
  • 54
    • 71249131272 scopus 로고    scopus 로고
    • Implementation of biologically plausible spiking neural network models on the memristor crossbar-based CMOS/nano circuits
    • A. Afifi, A. Ayatollahi, and F. Raissi, "Implementation of biologically plausible spiking neural network models on the memristor crossbar-based CMOS/nano circuits," in Proc. Eur. Conf. Circuit Theory Design, 2009, pp. 563-566.
    • Proc. Eur. Conf. Circuit Theory Design, 2009 , pp. 563-566
    • Afifi, A.1    Ayatollahi, A.2    Raissi, F.3
  • 56
    • 79955521201 scopus 로고    scopus 로고
    • Silicon-neuron design: A dynamical systems approach
    • May
    • J. V. Arthur and K. A. Boahen, "Silicon-neuron design: A dynamical systems approach," IEEE Trans. Circuits Syst., Reg. Papers, vol. 58, no. 5, pp. 1034-1043, May 2011.
    • (2011) IEEE Trans. Circuits Syst., Reg. Papers , vol.58 , Issue.5 , pp. 1034-1043
    • Arthur, J.V.1    Boahen, K.A.2
  • 58
    • 84866367657 scopus 로고    scopus 로고
    • Physical aspects of low power synapses based on phase change memory devices
    • Sep.
    • M. Suri et al., "Physical aspects of low power synapses based on phase change memory devices," J. Appl. Phys., vol. 112, no. 5, Sep. 2012, Art. ID. 054904.
    • (2012) J. Appl. Phys. , vol.112 , Issue.5
    • Suri, M.1
  • 59
    • 84879978368 scopus 로고    scopus 로고
    • Bio-inspired stochastic computing using binary CBRAM synapses
    • Jul.
    • M. Suri et al., "Bio-inspired stochastic computing using binary CBRAM synapses,"IEEE Trans. Electron Devices, vol. 60, no. 7, pp. 2402-2409, Jul. 2013.
    • (2013) IEEE Trans. Electron Devices , vol.60 , Issue.7 , pp. 2402-2409
    • Suri, M.1
  • 60
    • 84920131751 scopus 로고    scopus 로고
    • Analytical macrospin modeling of the stochastic switching time of spin-transfer torque devices
    • Jan.
    • A. Vincent et al., "Analytical macrospin modeling of the stochastic switching time of spin-transfer torque devices," IEEE Trans. Electron Devices, vol. 62, no. 1, pp. 164-170, Jan. 2015.
    • (2015) IEEE Trans. Electron Devices , vol.62 , Issue.1 , pp. 164-170
    • Vincent, A.1
  • 61
    • 84896979826 scopus 로고    scopus 로고
    • Pattern classification by memristive crossbar circuits using ex situ and in situ training
    • Jun.
    • F. Alibart, E. Zamanidoost, and D. B. Strukov, "Pattern classification by memristive crossbar circuits using ex situ and in situ training,"Nature Commun., vol. 4, Jun. 2013, DOI: 10.1038/ncomms3072.
    • (2013) Nature Commun. , vol.4
    • Alibart, F.1    Zamanidoost, E.2    Strukov, D.B.3
  • 62
    • 79961030927 scopus 로고    scopus 로고
    • Vertical-current-induced domain-wall motion in MgO-based magnetic tunnel junctions with low current densities
    • A. Chanthbouala et al., "Vertical-current-induced domain-wall motion in MgO-based magnetic tunnel junctions with low current densities," Nature Phys., vol. 7, no. 8, pp. 626-630, 2011.
    • (2011) Nature Phys. , vol.7 , Issue.8 , pp. 626-630
    • Chanthbouala, A.1
  • 63
    • 84877850976 scopus 로고    scopus 로고
    • Immunity to device variations in a spiking neural network with memristive nanodevices
    • May
    • D. Querlioz, O. Bichler, P. Dollfus, and C. Gamrat, "Immunity to device variations in a spiking neural network with memristive nanodevices," IEEE Trans. Nanotechnol., vol. 12, no. 3, pp. 288-295, May 2013.
    • (2013) IEEE Trans. Nanotechnol. , vol.12 , Issue.3 , pp. 288-295
    • Querlioz, D.1    Bichler, O.2    Dollfus, P.3    Gamrat, C.4
  • 64
    • 84907388086 scopus 로고    scopus 로고
    • Silicon neuron dedicated to memristive spiking neural networks
    • G. Lecerf et al., "Silicon neuron dedicated to memristive spiking neural networks," in Proc. IEEE Int. Symp. Circuits Syst., Jun. 2014, pp. 1568-1571.
    • Proc. IEEE Int. Symp. Circuits Syst., Jun. 2014 , pp. 1568-1571
    • Lecerf, G.1
  • 65
    • 84864741849 scopus 로고    scopus 로고
    • "Visual pattern extraction using energy-efficient "2-PCM synapse"neuromorphic architecture
    • Aug.
    • O. Bichler et al., "Visual pattern extraction using energy-efficient "2-PCM synapse"neuromorphic architecture," IEEE Trans. Electron Devices, vol. 59, no. 8, pp. 2206-2214, Aug. 2012.
    • (2012) IEEE Trans. Electron Devices , vol.59 , Issue.8 , pp. 2206-2214
    • Bichler, O.1
  • 66
    • 84886768743 scopus 로고    scopus 로고
    • Impact of PCM resistance-drift in neuromorphic systems and drift-mitigation strategy
    • M. Suri et al., "Impact of PCM resistance-drift in neuromorphic systems and drift-mitigation strategy," in Proc. IEEE/ACM Int. Symp. Nanoscale Architect., Jul. 2013, pp. 140-145.
    • Proc. IEEE/ACM Int. Symp. Nanoscale Architect., Jul. 2013 , pp. 140-145
    • Suri, M.1
  • 67
    • 84876111279 scopus 로고    scopus 로고
    • CBRAM devices as binary synapses for low-power stochastic neuromorphic systems: Auditory (cochlea) and visual (retina) cognitive processing applications
    • M. Suri et al., "CBRAM devices as binary synapses for low-power stochastic neuromorphic systems: Auditory (cochlea) and visual (retina) cognitive processing applications," in Proc. IEEE Int. Electron Devices Meeting, 2012, DOI: 10.1109/IEDM.2012.6479017.
    • Proc. IEEE Int. Electron Devices Meeting, 2012
    • Suri, M.1
  • 68
    • 27944431781 scopus 로고    scopus 로고
    • Convergence of stochastic learning in perceptrons with binary synapses
    • Jun.
    • W. Senn and S. Fusi, "Convergence of stochastic learning in perceptrons with binary synapses," Phys. Rev. E, vol. 71, no. 6, Jun. 2005, Art. no. 061907.
    • (2005) Phys. Rev. E , vol.71 , Issue.6
    • Senn, W.1    Fusi, S.2
  • 69
    • 0026866931 scopus 로고
    • Functional abilities of a stochastic logic neural network
    • May
    • Y. Kondo and Y. Sawada, "Functional abilities of a stochastic logic neural network,"IEEE Trans. Neural Netw., vol. 3, no. 3, pp. 434-443, May 1992.
    • (1992) IEEE Trans. Neural Netw. , vol.3 , Issue.3 , pp. 434-443
    • Kondo, Y.1    Sawada, Y.2
  • 71
    • 84928953615 scopus 로고    scopus 로고
    • Spin-transfer torque magnetic memory as a stochastic memristive synapse for neuromorphic systems
    • Apr.
    • A. Vincent et al., "Spin-transfer torque magnetic memory as a stochastic memristive synapse for neuromorphic systems," IEEE Trans. Biomed. Circuits Syst., vol. 9, no. 2, pp. 166-174, Apr. 2015.
    • (2015) IEEE Trans. Biomed. Circuits Syst. , vol.9 , Issue.2 , pp. 166-174
    • Vincent, A.1
  • 72
    • 84883229739 scopus 로고    scopus 로고
    • Stochastic memristive devices for computing and neuromorphic applications
    • Jun.
    • S. Gaba, P. Sheridan, J. Zhou, S. Choi, and W. Lu, "Stochastic memristive devices for computing and neuromorphic applications,"Nanoscale, vol. 5, no. 13, pp. 5872-5878, Jun. 2013.
    • (2013) Nanoscale , vol.5 , Issue.13 , pp. 5872-5878
    • Gaba, S.1    Sheridan, P.2    Zhou, J.3    Choi, S.4    Lu, W.5
  • 73
    • 84904736414 scopus 로고    scopus 로고
    • Stochastic learning in oxide binary synaptic device for neuromorphic computing
    • Oct.
    • S. Yu et al., "Stochastic learning in oxide binary synaptic device for neuromorphic computing," Front. Neurosci., vol. 7, Oct. 2013, DOI: 10.3389/fnins.2013.00186.
    • (2013) Front. Neurosci. , vol.7
    • Yu, S.1
  • 74
    • 84880819802 scopus 로고    scopus 로고
    • Electrical modeling of stochastic spin transfer torque writing in magnetic tunnel junctions for memory and logic applications
    • Jul.
    • Y. Zhang et al., "Electrical modeling of stochastic spin transfer torque writing in magnetic tunnel junctions for memory and logic applications," IEEE Trans. Magn., vol. 49, no. 7, pp. 4375-4378, Jul. 2013.
    • (2013) IEEE Trans. Magn. , vol.49 , Issue.7 , pp. 4375-4378
    • Zhang, Y.1
  • 75
    • 84906249808 scopus 로고    scopus 로고
    • Spin dice: A scalable truly random number generator based on spin tronics
    • Aug.
    • A. Fukushima et al., "Spin dice: A scalable truly random number generator based on spin tronics," Appl. Phys. Exp., vol. 7, no. 8, Aug. 2014, Art. ID. 083001.
    • (2014) Appl. Phys. Exp. , vol.7 , Issue.8
    • Fukushima, A.1
  • 76
    • 84859984075 scopus 로고    scopus 로고
    • Engineering nonlinearity intomemristors for passive crossbar applications
    • Mar.
    • J. Joshua Yang et al., "Engineering nonlinearity intomemristors for passive crossbar applications," Appl. Phys. Lett., vol. 100, no. 11, Mar. 2012, Art. ID. 113501.
    • (2012) Appl. Phys. Lett. , vol.100 , Issue.11
    • Joshua Yang, J.1
  • 77
    • 84861765357 scopus 로고    scopus 로고
    • Extraction of temporally correlated features from dynamic vision sensors with spike-timing-dependent plasticity
    • O. Bichler, D. Querlioz, S. J. Thorpe, J.-P. Bourgoin, and C. Gamrat, "Extraction of temporally correlated features from dynamic vision sensors with spike-timing-dependent plasticity," Neural Netw., vol. 32, pp. 339-348, 2012.
    • (2012) Neural Netw. , vol.32 , pp. 339-348
    • Bichler, O.1    Querlioz, D.2    Thorpe, S.J.3    Bourgoin, J.-P.4    Gamrat, C.5
  • 79
    • 84874769788 scopus 로고    scopus 로고
    • Bioinspired networks with nanoscale memristive devices that combine the unsupervised and supervised learning approaches
    • D. Querlioz et al., "Bioinspired networks with nanoscale memristive devices that combine the unsupervised and supervised learning approaches," in Proc. IEEE/ACM Int. Nanoscale Architect., 2012, pp. 203-210.
    • Proc. IEEE/ACM Int. Nanoscale Architect., 2012 , pp. 203-210
    • Querlioz, D.1
  • 81
    • 38849206826 scopus 로고    scopus 로고
    • A 128 128 120 dB 15 s latency asynchronous temporal contrast vision sensor
    • Feb.
    • P. Lichtsteiner, C. Posch, and T. Delbruck, "A 128 128 120 dB 15 s latency asynchronous temporal contrast vision sensor," IEEE J. Solid-State Circuits, vol. 43, no. 2, pp. 566-576, Feb. 2008.
    • (2008) IEEE J. Solid-State Circuits , vol.43 , Issue.2 , pp. 566-576
    • Lichtsteiner, P.1    Posch, C.2    Delbruck, T.3
  • 82
    • 84937217870 scopus 로고    scopus 로고
    • [Online]. Available
    • L. Longinotti, "AER data files." [Online]. Available: http://sourceforge.net/p/jaer/wiki/AER data/
    • AER Data Files
    • Longinotti, L.1
  • 83
    • 84907400794 scopus 로고    scopus 로고
    • Spin-transfer torque magnetic memory as a stochastic memristive synapse
    • A. F. Vincent et al., "Spin-transfer torque magnetic memory as a stochastic memristive synapse," in Proc. IEEE Int. Symp. Circuits Syst., Jun. 2014, pp. 1074-1077.
    • Proc. IEEE Int. Symp. Circuits Syst., Jun. 2014 , pp. 1074-1077
    • Vincent, A.F.1
  • 84
    • 33847616026 scopus 로고    scopus 로고
    • AER EAR: A matched silicon cochlea pair with address event representation interface
    • Jan.
    • V. Chan, S.-C. Liu, and A. van Schaik, "AER EAR: A matched silicon cochlea pair with address event representation interface," IEEE Trans. Circuits Syst. Reg. Papers, vol. 54, no. 1, pp. 48-59, Jan. 2007.
    • (2007) IEEE Trans. Circuits Syst. Reg. Papers , vol.54 , Issue.1 , pp. 48-59
    • Chan, V.1    Liu, S.-C.2    Van Schaik, A.3
  • 85
    • 84900490680 scopus 로고    scopus 로고
    • Noise as a resource for computation and learning in networks of spiking neurons
    • May
    • W. Maass, "Noise as a resource for computation and learning in networks of spiking neurons," Proc. IEEE, vol. 102, no. 5, pp. 860-880, May 2014.
    • (2014) Proc. IEEE , vol.102 , Issue.5 , pp. 860-880
    • Maass, W.1
  • 86
    • 0002629270 scopus 로고
    • Maximum likelihood from incomplete data via the EM algorithm
    • A. Dempster, N. Laird, and D. Rubin, "Maximum likelihood from incomplete data via the EM algorithm," J. Roy. Stat. Soc. B (Methodological), vol. 39, no. 1, pp. 1-38, 1977.
    • (1977) J. Roy. Stat. Soc. B (Methodological) , vol.39 , Issue.1 , pp. 1-38
    • Dempster, A.1    Laird, N.2    Rubin, D.3
  • 87
    • 64549136617 scopus 로고    scopus 로고
    • A statistical study of magnetic tunnel junctions for high-density spin torque transfer MRAM (STT-MRAM)
    • R. Beach et al., "A statistical study of magnetic tunnel junctions for high-density spin torque transfer MRAM (STT-MRAM)," in Proc. IEEE Int. Electron Devices Meeting, Dec. 2008, DOI: 10.1109/IEDM.2008.4796679.
    • Proc. IEEE Int. Electron Devices Meeting, Dec. 2008
    • Beach, R.1
  • 88
    • 79951831859 scopus 로고    scopus 로고
    • Switching distributions and write reliability of perpendicular spin torque MRAM
    • D. Worledge et al., "Switching distributions and write reliability of perpendicular spin torque MRAM," in Proc. IEEE Int. Electron Devices Meeting, Dec. 2010, pp. 12-5.1-12.5.4.
    • Proc. IEEE Int. Electron Devices Meeting, Dec. 2010 , pp. 12.5.1-12.5.4
    • Worledge, D.1
  • 90
    • 0014701632 scopus 로고
    • A logic-in-memory computer
    • Jan.
    • H. S. Stone, "A logic-in-memory computer,"IEEE Trans. Comput., vol. C-19, no. 1, pp. 73-78, Jan. 1970.
    • (1970) IEEE Trans. Comput. , vol.C-19 , Issue.1 , pp. 73-78
    • Stone, H.S.1
  • 91
    • 57649087959 scopus 로고    scopus 로고
    • Fabrication of a nonvolatile full adder based on logic-in-memory architecture using magnetic tunnel junctions
    • Sep.
    • S. Matsunaga et al., "Fabrication of a nonvolatile full adder based on logic-in-memory architecture using magnetic tunnel junctions,"Appl. Phys. Exp., vol. 1, no. 9, Sep. 2008, Art. ID. 091301.
    • (2008) Appl. Phys. Exp. , vol.1 , Issue.9
    • Matsunaga, S.1
  • 92
    • 84893852444 scopus 로고    scopus 로고
    • Synchronous non-volatile logic gate design based on resistive switching memories
    • Feb.
    • W. Zhao et al., "Synchronous non-volatile logic gate design based on resistive switching memories," IEEE Trans. Circuits Syst. I, Reg. Papers, vol. 61, no. 2, pp. 443-454, Feb. 2014.
    • (2014) IEEE Trans. Circuits Syst. I, Reg. Papers , vol.61 , Issue.2 , pp. 443-454
    • Zhao, W.1
  • 93
    • 84945974316 scopus 로고    scopus 로고
    • Spintronic devices as key elements for energy-efficient neuroinspired architectures
    • N. Locatelli et al., "Spintronic devices as key elements for energy-efficient neuroinspired architectures," in Proc. Design Autom. Test Eur. Conf. Exhibit., Mar. 2015, pp. 994-999.
    • Proc. Design Autom. Test Eur. Conf. Exhibit., Mar. 2015 , pp. 994-999
    • Locatelli, N.1
  • 94
    • 84876532836 scopus 로고    scopus 로고
    • Nonvolatile logic-in-memory array processor in 90 nm MTJ/MOS achieving 75% leakage reduction using cycle-based power gating
    • M. Natsui et al., "Nonvolatile logic-in-memory array processor in 90 nm MTJ/MOS achieving 75% leakage reduction using cycle-based power gating," in IEEE Int. Solid-State Circuits Conf. Dig. Tech. Papers, Feb. 2013, pp. 194-195.
    • IEEE Int. Solid-State Circuits Conf. Dig. Tech. Papers, Feb. 2013 , pp. 194-195
    • Natsui, M.1
  • 95
    • 84858258806 scopus 로고    scopus 로고
    • Neuromorphic, digital, quantum computation with memory circuit elements
    • Jun.
    • Y. Pershin and M. Di Ventra, "Neuromorphic, digital, quantum computation with memory circuit elements," Proc. IEEE, vol. 100, no. 6, pp. 2071-2080, Jun. 2012.
    • (2012) Proc. IEEE , vol.100 , Issue.6 , pp. 2071-2080
    • Pershin, Y.1    Di Ventra, M.2
  • 97
    • 84920586979 scopus 로고    scopus 로고
    • A compound memristive synapse model for statistical learning through STDP in spiking neural networks
    • Dec.
    • J. Bill and R. Legenstein, "A compound memristive synapse model for statistical learning through STDP in spiking neural networks," Front. Neurosci., vol. 8, Dec. 2014, DOI: 10.3389/fnins.2014.00412.
    • (2014) Front. Neurosci. , vol.8
    • Bill, J.1    Legenstein, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.