-
1
-
-
49249135216
-
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
-
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
-
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
-
-
43049126833
-
The missing memristor found
-
May
-
D. B. Strukov, G. S. Snider, D. R. Stewart, and R. S. Williams, "The missing memristor found," Nature, vol. 453, no. 7191, pp. 80-83, May 2008.
-
(2008)
Nature
, vol.453
, Issue.7191
, pp. 80-83
-
-
Strukov, D.B.1
Snider, G.S.2
Stewart, D.R.3
Williams, R.S.4
-
5
-
-
77951026760
-
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
-
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
-
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
-
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
-
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
-
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
-
12
-
-
61649104641
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
-
Reading, MA, USA: Addison Wesley, Jan.
-
st ed., Reading, MA, USA: Addison Wesley, Jan., 1989.
-
(1989)
st Ed.
-
-
Mead, C.1
-
36
-
-
84876928403
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
47
-
-
84881039921
-
Flexible, high performance convolutional neural networks for image classification
-
nd Int. Joint Conf. Artif. Intell., Barcelona, Spain, 2011, vol. 2, pp. 1237-1242.
-
nd Int. Joint Conf. Artif. Intell., Barcelona, Spain, 2011
, vol.2
, pp. 1237-1242
-
-
Cirezan, D.C.1
Meier, U.2
Masci, J.3
Gambardella, L.M.4
Schmidhuber, J.5
-
48
-
-
84878919540
-
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
-
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
-
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
-
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
-
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
-
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
-
55
-
-
84883441975
-
Excitatory and inhibitory memristive synapses for spiking neural networks
-
G. Lecerf, J. Tomas, and S. Saighi, "Excitatory and inhibitory memristive synapses for spiking neural networks," in Proc. IEEE Int. Symp. Circuits Syst., 2013, pp. 1616-1619.
-
Proc. IEEE Int. Symp. Circuits Syst., 2013
, pp. 1616-1619
-
-
Lecerf, G.1
Tomas, J.2
Saighi, S.3
-
56
-
-
79955521201
-
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
-
57
-
-
79961194061
-
Learning with memristive devices: How should we model their behavior?
-
D. Querlioz, P. Dollfus, O. Bichler, and C. Gamrat, "Learning with memristive devices: How should we model their behavior?" in Proc. IEEE/ACM Int. Symp. Nanoscale Architect.,2011, pp. 150-156.
-
Proc. IEEE/ACM Int. Symp. Nanoscale Architect.,2011
, pp. 150-156
-
-
Querlioz, D.1
Dollfus, P.2
Bichler, O.3
Gamrat, C.4
-
58
-
-
84866367657
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
"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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
78
-
-
84886773774
-
Design exploration methodology for memristor-based spiking neuromorphic architectures with the Xnet event-driven simulator
-
O. Bichler, D. Roclin, C. Gamrat, and D. Querlioz, "Design exploration methodology for memristor-based spiking neuromorphic architectures with the Xnet event-driven simulator," in Proc. IEEE/ACM Int. Symp. Nanoscale Architect., Jul. 2013, pp. 7-12.
-
Proc. IEEE/ACM Int. Symp. Nanoscale Architect., Jul. 2013
, pp. 7-12
-
-
Bichler, O.1
Roclin, D.2
Gamrat, C.3
Querlioz, D.4
-
79
-
-
84874769788
-
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
-
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
-
-
[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
-
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
-
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
-
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
-
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
-
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
-
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
-
89
-
-
57849169109
-
Implementing homeostatic plasticity in VLSI networks of spiking neurons
-
C. Bartolozzi, O. Nikolayeva, and G. Indiveri, "Implementing homeostatic plasticity in VLSI networks of spiking neurons," in Proc. IEEE Int. Conf. Electron. Circuits Syst., 2008, pp. 682-685.
-
Proc. IEEE Int. Conf. Electron. Circuits Syst., 2008
, pp. 682-685
-
-
Bartolozzi, C.1
Nikolayeva, O.2
Indiveri, G.3
-
90
-
-
0014701632
-
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
-
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
-
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
-
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
-
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
-
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
-
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
|