-
1
-
-
0004017463
-
-
Cambridge, U.K.: Cambridge Univ. Press
-
W. Gerstner and W. M. Kistler, Spiking Neuron Models: Single Neurons, Populations, Plasticity. Cambridge, U.K.: Cambridge Univ. Press, 2002.
-
(2002)
Spiking Neuron Models: Single Neurons, Populations, Plasticity
-
-
Gerstner, W.1
Kistler, W.M.2
-
2
-
-
35649001607
-
A quantitative description of membrane current and its application to conduction and excitation in nerve
-
A. L. Hodgkin and A. F. Huxley, "A quantitative description of membrane current and its application to conduction and excitation in nerve, " J. Physiol., vol. 117, no. 4, p. 500, 1952.
-
(1952)
J. Physiol.
, vol.117
, Issue.4
, pp. 500
-
-
Hodgkin, A.L.1
Huxley, A.F.2
-
4
-
-
41149160764
-
Noise in the nervous system
-
A. A. Faisal, L. P. Selen, and D. M. Wolpert, "Noise in the nervous system, " Nature Rev. Neurosci., vol. 9, no. 4, pp. 292-303, 2008.
-
(2008)
Nature Rev. Neurosci.
, vol.9
, Issue.4
, pp. 292-303
-
-
Faisal, A.A.1
Selen, L.P.2
Wolpert, D.M.3
-
5
-
-
79959463057
-
The benefits of noise in neural systems: Bridging theory and experiment
-
M. McDonnell and L. Ward, "The benefits of noise in neural systems: Bridging theory and experiment, " Nature Rev. Neurosci., vol. 12, no. 7, pp. 415-426, 2011.
-
(2011)
Nature Rev. Neurosci.
, vol.12
, Issue.7
, pp. 415-426
-
-
McDonnell, M.1
Ward, L.2
-
6
-
-
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
-
7
-
-
33745833056
-
Predicting spike timing of neocortical pyramidal neurons by simple threshold models
-
R. Jolivet, A. Rauch, H.-R. Lüscher, and W. Gerstner, "Predicting spike timing of neocortical pyramidal neurons by simple threshold models, " J. Comput. Neurosci., vol. 21, no. 1, pp. 35-49, 2006.
-
(2006)
J. Comput. Neurosci.
, vol.21
, Issue.1
, pp. 35-49
-
-
Jolivet, R.1
Rauch, A.2
Lüscher, H.-R.3
Gerstner, W.4
-
8
-
-
84876928403
-
Bayesian computation emerges in generic cortical microcircuits through spike-timing-dependent plasticity
-
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, p. e1003037, 2013.
-
(2013)
PLoS Comput. Biol.
, vol.9
, Issue.4
, pp. e1003037
-
-
Nessler, B.1
Pfeiffer, M.2
Buesing, L.3
Maass, W.4
-
9
-
-
81355133300
-
Neural dynamics as sampling: A model for stochastic computation in recurrent networks of spiking neurons
-
L. Buesing, J. Bill, B. Nessler, and W. Maass, "Neural dynamics as sampling: A model for stochastic computation in recurrent networks of spiking neurons, " PLoS Comput. Biol., vol. 7, no. 11, p. e1002211, 2011.
-
(2011)
PLoS Comput. Biol.
, vol.7
, Issue.11
, pp. e1002211
-
-
Buesing, L.1
Bill, J.2
Nessler, B.3
Maass, W.4
-
10
-
-
84855256984
-
Probabilistic inference in general graphical models through sampling in stochastic networks of spiking neurons
-
D. Pecevski, L. Buesing, and W. Maass, "Probabilistic inference in general graphical models through sampling in stochastic networks of spiking neurons, " PLoS Comput. Biol., vol. 7, no. 12, p. e1002294, 2011.
-
(2011)
PLoS Comput. Biol.
, vol.7
, Issue.12
, pp. e1002294
-
-
Pecevski, D.1
Buesing, L.2
Maass, W.3
-
11
-
-
84897460337
-
STDP installs in winner-take-all circuits an online approximation to hidden Markov model learning
-
D. Kappel, B. Nessler, and W. Maass, "STDP installs in winner-take-all circuits an online approximation to hidden Markov model learning, " PLoS Comput. Biol., vol. 10, no. 3, p. e1003511, 2014.
-
(2014)
PLoS Comput. Biol.
, vol.10
, Issue.3
, pp. e1003511
-
-
Kappel, D.1
Nessler, B.2
Maass, W.3
-
12
-
-
84893546078
-
Neuromorphic adaptations of restricted Boltzmann machines and deep belief networks
-
B. U. Pedroni, S. Das, E. Neftci, K. Kreutz-Delgado, and G. Cauwen-berghs, "Neuromorphic adaptations of restricted Boltzmann machines and deep belief networks, " in Proc. Int.l Joint Conf. IEEE Neural Netw., 2013, pp. 1-6.
-
(2013)
Proc. Int.l Joint Conf. IEEE Neural Netw.
, pp. 1-6
-
-
Pedroni, B.U.1
Das, S.2
Neftci, E.3
Kreutz-Delgado, K.4
Cauwen-Berghs, G.5
-
13
-
-
84898035691
-
Event-driven contrastive divergence for spiking neuromor-phic systems
-
E. Neftci, S. Das, B. Pedroni, K. Kreutz-Delgado, and G. Cauwen-berghs, "Event-driven contrastive divergence for spiking neuromor-phic systems, " Front. Neurosci., vol. 7, 2014.
-
(2014)
Front. Neurosci.
, vol.7
-
-
Neftci, E.1
Das, S.2
Pedroni, B.3
Kreutz-Delgado, K.4
Cauwen-Berghs, G.5
-
14
-
-
84888811418
-
Realtime classification and sensor fusion with a spiking deep belief network
-
P. O'Connor, D. Neil, S.-C. Liu, T. Delbruck, and M. Pfeiffer, "Realtime classification and sensor fusion with a spiking deep belief network, " Front. Neurosci., vol. 7, 2013.
-
(2013)
Front. Neurosci.
, vol.7
-
-
O'Connor, P.1
Neil, D.2
Liu, S.-C.3
Delbruck, T.4
Pfeiffer, M.5
-
16
-
-
80255127113
-
Neuromorphic silicon neuron circuits
-
G. Indiveri et al., "Neuromorphic silicon neuron circuits, " Front. Neu-rosci., vol. 5, 2011.
-
(2011)
Front. Neu-rosci.
, vol.5
-
-
Indiveri, G.1
-
17
-
-
0034133323
-
Noise in integrate-and-fire neurons: From stochastic input to escape rates
-
H. E. Plesser and W. Gerstner, "Noise in integrate-and-fire neurons: From stochastic input to escape rates, " Neural Comput., vol. 12, no. 2, pp. 367-384, 2000.
-
(2000)
Neural Comput.
, vol.12
, Issue.2
, pp. 367-384
-
-
Plesser, H.E.1
Gerstner, W.2
-
18
-
-
84893625868
-
Cognitive computing building block: A versatile and efficient digital neuron model for neurosynaptic cores
-
A. S. Cassidy et al., "Cognitive computing building block: A versatile and efficient digital neuron model for neurosynaptic cores, " in Proc. IEEE Int. Joint Conf. Neural Netw., 2013, pp. 1-10.
-
(2013)
Proc. IEEE Int. Joint Conf. Neural Netw.
, pp. 1-10
-
-
Cassidy, A.S.1
-
19
-
-
84898024648
-
-
arXiv preprint arXiv: 1311.3211
-
M. A. Petrovici, J. Bill, I. Bytschok, J. Schemmel, and K. Meier, Stochastic inference with deterministic spiking neurons arXiv preprint arXiv:1311.3211, 2013.
-
(2013)
Stochastic Inference with Deterministic Spiking Neurons
-
-
Petrovici, M.A.1
Bill, J.2
Bytschok, I.3
Schemmel, J.4
Meier, K.5
-
20
-
-
84900518939
-
Stochastic electronics: A neuro-inspired design paradigm for integrated circuits
-
May
-
T. Hamilton, S. Afshar, A. van Schaik, and J. Tapson, "Stochastic electronics: A neuro-inspired design paradigm for integrated circuits, " Proc. IEEE, vol. 102, no. 5, pp. 843-859, May 2014.
-
(2014)
Proc. IEEE
, vol.102
, Issue.5
, pp. 843-859
-
-
Hamilton, T.1
Afshar, S.2
Van Schaik, A.3
Tapson, J.4
-
21
-
-
84871772858
-
Memristive devices for computing
-
J. J. Yang, D. B. Strukov, and D. R. Stewart, "Memristive devices for computing, " Nature Nanotechnol., vol. 8, no. 1, pp. 13-24, 2013.
-
(2013)
Nature Nanotechnol.
, vol.8
, Issue.1
, pp. 13-24
-
-
Yang, J.J.1
Strukov, D.B.2
Stewart, D.R.3
-
22
-
-
84896979826
-
Pattern classification by memristive crossbar circuits using ex situ and in situ training
-
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, 2013.
-
(2013)
Nature Commun.
, vol.4
-
-
Alibart, F.1
Zamanidoost, E.2
Strukov, D.B.3
-
23
-
-
77950500742
-
Memristance can explain spike-time-dependent-plasticity in neural synapses
-
B. Linares-Barranco and T. Serrano-Gotarredona, "Memristance can explain spike-time-dependent-plasticity in neural synapses, " Nature Precedings, pp. 1-4, 2009.
-
(2009)
Nature Precedings
, pp. 1-4
-
-
Linares-Barranco, B.1
Serrano-Gotarredona, T.2
-
24
-
-
77951026760
-
Nanoscale memristor device as synapse in neuromor-phic systems
-
S. H. Jo et al., "Nanoscale memristor device as synapse in neuromor-phic systems, " Nano Lett., vol. 4, pp. 1297-1301, 2010.
-
(2010)
Nano Lett.
, vol.4
, pp. 1297-1301
-
-
Jo, S.H.1
-
25
-
-
84860660887
-
On spike-timing-dependent-plasticity, memristive devices, building a self-learning visual cortex
-
C. Zamarre no-Ramos et al., "On spike-timing-dependent-plasticity, memristive devices, building a self-learning visual cortex, " Front. Neu-rosci., vol. 5, 2011.
-
(2011)
Front. Neu-rosci.
, vol.5
-
-
Zamarreno-Ramos, C.1
-
26
-
-
84878952572
-
STDP and STDP variations with memristors for spiking neuromorphic learning systems
-
T. Serrano-Gotarredona, T. Masquelier, and T. Prodromakis, "STDP and STDP variations with memristors for spiking neuromorphic learning systems, " Front. Neurosci., vol. 5, pp. 1-15, 2013.
-
(2013)
Front. Neurosci.
, vol.5
, pp. 1-15
-
-
Serrano-Gotarredona, T.1
Masquelier, T.2
Prodromakis, T.3
-
27
-
-
84900482869
-
Spike-based synaptic plasticity in silicon: Design, implementation, application, challenges
-
May
-
M. Rahimi Azghadi, N. Iannella, S. F. 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
-
-
Rahimi Azghadi, M.1
Iannella, N.2
Al-Sarawi, S.F.3
Indiveri, G.4
Abbott, D.5
-
28
-
-
84883543408
-
Integration of nanoscale memristor synapses in neu-romorphic computing architectures
-
G. Indiveri, B. Linares-Barranco, R. Legenstein, G. Deligeorgis, and T. Prodromakis, "Integration of nanoscale memristor synapses in neu-romorphic computing architectures, " Nanotechnology, vol. 24, no. 38, p. 384010, 2013.
-
(2013)
Nanotechnology
, vol.24
, Issue.38
, pp. 384010
-
-
Indiveri, G.1
Linares-Barranco, B.2
Legenstein, R.3
Deligeorgis, G.4
Prodromakis, T.5
-
29
-
-
84878304982
-
A proposal for hybrid memristor-CMOS spiking neuromorphic learning systems
-
T. Serrano-Gotarredona, T. Prodromakis, and B. Linares-Barranco, "A proposal for hybrid memristor-CMOS spiking neuromorphic learning systems, " Circuits Syst. Mag., vol. 13, pp. 74-88, 2013.
-
(2013)
Circuits Syst. Mag.
, vol.13
, pp. 74-88
-
-
Serrano-Gotarredona, T.1
Prodromakis, T.2
Linares-Barranco, B.3
-
30
-
-
84883229739
-
Stochastic memristive devices for computing and neuromorphic applications
-
S. Gaba, P. Sheridan, J. Zhou, S. Choi, and W. Lu, "Stochastic memristive devices for computing and neuromorphic applications, " Nanoscale, vol. 5, no. 13, p. 5872, 2013.
-
(2013)
Nanoscale
, vol.5
, Issue.13
, pp. 5872
-
-
Gaba, S.1
Sheridan, P.2
Zhou, J.3
Choi, S.4
Lu, W.5
-
31
-
-
84904020402
-
Stochastic switching of TiO2-based memristive devices with identical initial memory states
-
Q. Li, A. Khiat, I. Salaoru, H. Xu, and T. Prodromakis, "Stochastic switching of TiO2-based memristive devices with identical initial memory states, " Nanoscale Res. Lett., vol. 9, no. 1, pp. 1-5, 2014.
-
(2014)
Nanoscale Res. Lett.
, vol.9
, Issue.1
, pp. 1-5
-
-
Li, Q.1
Khiat, A.2
Salaoru, I.3
Xu, H.4
Prodromakis, T.5
-
32
-
-
84859206837
-
Observation of conducting filament growth in nanoscale resistive memories
-
Y. Yang et al., "Observation of conducting filament growth in nanoscale resistive memories, " Nature Commun., vol. 3, p. 732, 2012.
-
(2012)
Nature Commun.
, vol.3
, pp. 732
-
-
Yang, Y.1
-
33
-
-
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
-
34
-
-
84904736414
-
Stochastic learning in oxide binary synaptic device for neuromorphic computing
-
S. Yu et al., "Stochastic learning in oxide binary synaptic device for neuromorphic computing, " Front. Neurosci., vol. 7, 2013.
-
(2013)
Front. Neurosci.
, vol.7
-
-
Yu, S.1
-
35
-
-
84920586979
-
A compound memristive synapse model for statistical learning through STDP in spiking neural networks
-
J. Bill and R. Legenstein, "A compound memristive synapse model for statistical learning through STDP in spiking neural networks, " Front. Neurosci., vol. 8, 2014.
-
(2014)
Front. Neurosci.
, vol.8
-
-
Bill, J.1
Legenstein, R.2
-
36
-
-
84892657717
-
Memristor macromodel and its application to neuronal spike generation
-
S. Shin, K. Kim, and S.-M. S. Kang, "Memristor macromodel and its application to neuronal spike generation, " in IEEE Eur. Conf. Circuit Theory Design, 2013, pp. 1-4.
-
(2013)
IEEE Eur. Conf. Circuit Theory Design
, pp. 1-4
-
-
Shin, S.1
Kim, K.2
Kang, S.-M.S.3
-
37
-
-
84872962355
-
A scalable neuristor built with Mott memristors
-
M. D. Pickett, G. Medeiros-Ribeiro, and R. S. Williams, "A scalable neuristor built with Mott memristors, " Nature Mater., vol. 12, no. 2, pp. 114-117, 2013.
-
(2013)
Nature Mater.
, vol.12
, Issue.2
, pp. 114-117
-
-
Pickett, M.D.1
Medeiros-Ribeiro, G.2
Williams, R.S.3
-
38
-
-
84897838222
-
The stochastic modeling of TiO2 memristor and its usage in neuromorphic system design
-
Jan.
-
M. Hu, Y. Wang, Q. Qiu, Y. Chen, and H. Li, "The stochastic modeling of TiO2 memristor and its usage in neuromorphic system design, " in Proc. 9th Asia South Pacific Design Automat. Conf., Jan. 2014, pp. 831-836.
-
(2014)
Proc. 9th Asia South Pacific Design Automat. Conf
, pp. 831-836
-
-
Hu, M.1
Wang, Y.2
Qiu, Q.3
Chen, Y.4
Li, H.5
-
39
-
-
84886802477
-
Stochastic neuron design using conductive bridge RAM
-
G. Palma, M. Suri, D. Querlioz, E. Vianello, and B. De Salvo, "Stochastic neuron design using conductive bridge RAM, " in Proc. IEEE/ACM Int. Symp. IEEE Nanoscale Archit., 2013, pp. 95-100.
-
(2013)
Proc. IEEE/ACM Int. Symp. IEEE Nanoscale Archit.
, pp. 95-100
-
-
Palma, G.1
Suri, M.2
Querlioz, D.3
Vianello, E.4
De Salvo, B.5
-
40
-
-
84885593949
-
Nanoscale resistive switching devices: Mechanisms and modeling
-
Y. Yang and W. Lu, "Nanoscale resistive switching devices: Mechanisms and modeling, " Nanoscale, vol. 5, no. 21, pp. 10 076-10 092, 2013.
-
(2013)
Nanoscale
, vol.5
, Issue.21
, pp. 10076-10092
-
-
Yang, Y.1
Lu, W.2
-
41
-
-
77955732575
-
Direct identification of the conducting channels in a functioning memristive device
-
J. P. Strachan et al., "Direct identification of the conducting channels in a functioning memristive device, " Adv. Mater., vol. 22, no. 32, pp. 3573-3577, 2010.
-
(2010)
Adv. Mater.
, vol.22
, Issue.32
, pp. 3573-3577
-
-
Strachan, J.P.1
-
42
-
-
84911399341
-
A family of memristor-based reactance-less oscillators
-
M. A. Zidan et al., "A family of memristor-based reactance-less oscillators, " Int. J. Circuit Theory Appl., 2013.
-
(2013)
Int. J. Circuit Theory Appl.
-
-
Zidan, M.A.1
-
43
-
-
70350092588
-
Switching dynamics in titanium dioxide memris-tive devices
-
M. D. Pickett et al., "Switching dynamics in titanium dioxide memris-tive devices, " J. Appl. Phys., vol. 106, no. 7, p. 074508, 2009.
-
(2009)
J. Appl. Phys.
, vol.106
, Issue.7
, pp. 074508
-
-
Pickett, M.D.1
-
44
-
-
70350457460
-
Spice model of memristor with nonlinear dopant drift
-
Z. Biolek, D. Biolek, and V. Biolkova, "Spice model of memristor with nonlinear dopant drift, " Radioengineering, vol. 18, no. 2, 2009.
-
(2009)
Radioengineering
, vol.18
, Issue.2
-
-
Biolek, Z.1
Biolek, D.2
Biolkova, V.3
-
46
-
-
80052102359
-
A versatile memristor model with nonlinear dopant kinetics
-
Sep.
-
T. Prodromakis, B. P. Peh, C. Papavassiliou, and C. Toumazou, "A versatile memristor model with nonlinear dopant kinetics, " IEEE Trans. Electron Devices, vol. 58, no. 9, pp. 3099-3105, Sep. 2011.
-
(2011)
IEEE Trans. Electron Devices
, vol.58
, Issue.9
, pp. 3099-3105
-
-
Prodromakis, T.1
Peh, B.P.2
Papavassiliou, C.3
Toumazou, C.4
-
47
-
-
84863705823
-
A boundary condition-based approach to the modeling of memristor nanostructures
-
Nov.
-
F. Corinto and A. Ascoli, "A boundary condition-based approach to the modeling of memristor nanostructures, " IEEE Trans. Circuits Syst. I, Reg. Papers, vol. 59, no. 11, pp. 2713-2726, Nov. 2012.
-
(2012)
IEEE Trans. Circuits Syst. I, Reg. Papers
, vol.59
, Issue.11
, pp. 2713-2726
-
-
Corinto, F.1
Ascoli, A.2
-
48
-
-
84878290517
-
Memristor model comparison
-
A. Ascoli, F. Corinto, V. Senger, and R. Tetzlaff, "Memristor model comparison, " IEEE Circuits Syst. Mag., vol. 13, no. 2, 2013.
-
(2013)
IEEE Circuits Syst. Mag.
, vol.13
, Issue.2
-
-
Ascoli, A.1
Corinto, F.2
Senger, V.3
Tetzlaff, R.4
-
49
-
-
79951705973
-
On the mathematical modeling of memristors
-
A. Radwan, M. A. Zidan, and K. Salama, "On the mathematical modeling of memristors, " in Proc. IEEE Int. Conf. Microelectron., 2010, pp. 284-287.
-
(2010)
Proc. IEEE Int. Conf. Microelectron.
, pp. 284-287
-
-
Radwan, A.1
Zidan, M.A.2
Salama, K.3
-
50
-
-
84910665490
-
Building memristor applications: From device model to circuit design
-
Nov.
-
F. Garcia, M. Lopez-Vallejo, and P. Ituero, "Building memristor applications: From device model to circuit design, " IEEE Trans. Nan-otechnol., vol. 13, no. 6, pp. 1154-1162, Nov. 2014.
-
(2014)
IEEE Trans. Nan-otechnol.
, vol.13
, Issue.6
, pp. 1154-1162
-
-
Garcia, F.1
Lopez-Vallejo, M.2
Ituero, P.3
-
51
-
-
77956627262
-
HP memristor mathematical model for periodic signals and DC
-
A. G. Radwan, M. A. Zidan, and K. Salama, "HP memristor mathematical model for periodic signals and DC, " in Proc. 53rd IEEE Int. Midwest Symp. Circuits Syst., 2010, pp. 861-864.
-
(2010)
Proc. 53rd IEEE Int. Midwest Symp. Circuits Syst.
, pp. 861-864
-
-
Radwan, A.G.1
Zidan, M.A.2
Salama, K.3
-
53
-
-
84896982143
-
Comprehensive physical model of dynamic resistive switching in an oxide memristor
-
S. Kim, S. Choi, and W. Lu, "Comprehensive physical model of dynamic resistive switching in an oxide memristor, " ACS Nano, vol. 8, 2014.
-
(2014)
ACS Nano
, vol.8
-
-
Kim, S.1
Choi, S.2
Lu, W.3
-
54
-
-
82555165217
-
Conducting nanofilaments formed by oxygen vacancy migration in Ti/TiO2/TiN/MgO memristive device
-
Q. Lv et al., "Conducting nanofilaments formed by oxygen vacancy migration in Ti/TiO2/TiN/MgO memristive device, " J. Appl. Phys., vol. 110, no. 10, p. 104511, 2011.
-
(2011)
J. Appl. Phys.
, vol.110
, Issue.10
, pp. 104511
-
-
Lv, Q.1
-
55
-
-
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 Meet., 2011, pp. 17-3.
-
(2011)
Proc. IEEE Int. Electron Devices Meet.
, pp. 17-23
-
-
Yu, S.1
Guan, X.2
Wong, H.-S.3
-
56
-
-
82155166369
-
Modeling the universal set/reset characteristics of bipolar RRAM by field-and temperature-driven filament growth
-
Dec.
-
D. Ielmini, "Modeling the universal set/reset characteristics of bipolar RRAM by field-and temperature-driven filament growth, " IEEE Trans. Electron Devices, vol. 58, no. 12, pp. 4309-4317, Dec. 2011.
-
(2011)
IEEE Trans. Electron Devices
, vol.58
, Issue.12
, pp. 4309-4317
-
-
Ielmini, D.1
-
58
-
-
61649104641
-
Programmable resistance switching in nanoscale two-terminal devices
-
S. H. Jo, K.-H. Kim, and W. Lu, "Programmable resistance switching in nanoscale two-terminal devices, " Nano Lett., vol. 9, no. 1, 2008.
-
(2008)
Nano Lett.
, vol.9
, Issue.1
-
-
Jo, S.H.1
Kim, K.-H.2
Lu, W.3
-
59
-
-
33846098196
-
Dynamically reconfigurable silicon array of spiking neurons with conductance-based synapses
-
Jan.
-
R. J. Vogelstein, U. Mallik, J. T. Vogelstein, and G. Cauwenberghs, "Dynamically reconfigurable silicon array of spiking neurons with conductance-based synapses, " IEEE Trans. Neural Netw., vol. 18, no. 1, pp. 253-265, Jan. 2007.
-
(2007)
IEEE Trans. Neural Netw.
, vol.18
, Issue.1
, pp. 253-265
-
-
Vogelstein, R.J.1
Mallik, U.2
Vogelstein, J.T.3
Cauwenberghs, G.4
-
60
-
-
84900514794
-
Spike timing-dependent plasticity in the address domain
-
R. J. Vogelstein et al., "Spike timing-dependent plasticity in the address domain, " Adv. Neural Inf. Process. Syst., 2002.
-
(2002)
Adv. Neural Inf. Process. Syst.
-
-
Vogelstein, R.J.1
-
61
-
-
85119306260
-
Inherently stochastic spiking neurons for probabilistic neural computation
-
M. Al-Shedivat, R. Naous, E. Neftci, G. Cauwenberghs, and K. N. Salama, "Inherently stochastic spiking neurons for probabilistic neural computation, " in Proc. 7th Int. IEEE/EMBS Conf. IEEE Neural Eng., 2013.
-
(2013)
Proc. 7th Int. IEEE/EMBS Conf. IEEE Neural Eng.
-
-
Al-Shedivat, M.1
Naous, R.2
Neftci, E.3
Cauwenberghs, G.4
Salama, K.N.5
-
62
-
-
0034762808
-
Probabilistic synaptic weighting in a reconfigurable network of VLSI integrate-and-fire neurons
-
D. H. Goldberg, G. Cauwenberghs, and A. G. Andreou, "Probabilistic synaptic weighting in a reconfigurable network of VLSI integrate-and-fire neurons, " Neural Netw., vol. 14, no. 6, pp. 781-793, 2001.
-
(2001)
Neural Netw.
, vol.14
, Issue.6
, pp. 781-793
-
-
Goldberg, D.H.1
Cauwenberghs, G.2
Andreou, A.G.3
-
63
-
-
3142740626
-
Mean-field theory of irregularly spiking neuronal populations and working memory in recurrent cortical networks
-
A. Renart, N. Brunel, and X.-J. Wang, "Mean-field theory of irregularly spiking neuronal populations and working memory in recurrent cortical networks, " Comput. Neurosci., Comprehensive Approach, pp. 431-490, 2004.
-
(2004)
Comput. Neurosci., Comprehensive Approach
, pp. 431-490
-
-
Renart, A.1
Brunel, N.2
Wang, X.-J.3
-
64
-
-
84856380842
-
Spike-response model
-
W. Gerstner, "Spike-response model, " Scholarpedia, vol. 3, no. 12, 2008.
-
(2008)
Scholarpedia
, vol.3
, Issue.12
-
-
Gerstner, W.1
-
65
-
-
84894081828
-
Equation-oriented specification of neural models for simulations
-
M. Stimberg, D. F. Goodman, V. Benichoux, and R. Brette, "Equation-oriented specification of neural models for simulations, " Front. Neuroinformat., vol. 8, 2014.
-
(2014)
Front. Neuroinformat.
, vol.8
-
-
Stimberg, M.1
Goodman, D.F.2
Benichoux, V.3
Brette, R.4
-
66
-
-
0002629270
-
Maximum likelihood from incomplete data via the em algorithm
-
A. P. Dempster, N. M. Laird, and D. B. Rubin, "Maximum likelihood from incomplete data via the em algorithm, " J. R. Stat. Soc. Ser. B (Methodol.), pp. 1-38, 1977.
-
(1977)
J. R. Stat. Soc. Ser. B (Methodol.)
, pp. 1-38
-
-
Dempster, A.P.1
Laird, N.M.2
Rubin, D.B.3
-
68
-
-
80053403826
-
Ensemble methods in machine learning
-
New York: Springer
-
T. G. Dietterich, "Ensemble methods in machine learning, " in Multiple Classifier Systems. New York: Springer, 2000, pp. 1-15.
-
(2000)
Multiple Classifier Systems
, pp. 1-15
-
-
Dietterich, T.G.1
-
69
-
-
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. IEEE Int. Joint Conf. Neural Netw., 2011, pp. 1775-1781.
-
(2011)
Proc. IEEE Int. Joint Conf. Neural Netw.
, pp. 1775-1781
-
-
Querlioz, D.1
Bichler, O.2
Gamrat, C.3
-
70
-
-
33748990773
-
Efficient online spherical k-means clustering
-
S. Zhong, "Efficient online spherical k-means clustering, " in Proc. IEEE Int. Joint Conf. Neural Netw., 2005, vol. 5, pp. 3180-3185.
-
(2005)
Proc. IEEE Int. Joint Conf. Neural Netw.
, vol.5
, pp. 3180-3185
-
-
Zhong, S.1
-
71
-
-
0030106428
-
An analog VLSI recurrent neural network learning a continuous-time trajectory
-
Mar.
-
G. Cauwenberghs, "An analog VLSI recurrent neural network learning a continuous-time trajectory, " IEEE Trans. Neural Netw., vol. 7, no. 2, pp. 346-361, Mar. 1996.
-
(1996)
IEEE Trans. Neural Netw.
, vol.7
, Issue.2
, pp. 346-361
-
-
Cauwenberghs, G.1
-
72
-
-
0025792933
-
A VLSI-efficient technique for generating multiple uncorrelated noise sources and its application to stochastic neural networks
-
Jan.
-
M. B. Parker and R. Chu, "A VLSI-efficient technique for generating multiple uncorrelated noise sources and its application to stochastic neural networks, " IEEE Trans. Circuits Syst., vol. 38, no. 1, p. 109, Jan. 1991.
-
(1991)
IEEE Trans. Circuits Syst.
, vol.38
, Issue.1
, pp. 109
-
-
Parker, M.B.1
Chu, R.2
-
73
-
-
84908674803
-
Analysis and optimization of dynamically reconfigurable regenerative comparators for ultra-low power 6-bit TC-ADCs in 90 nm CMOS technologies
-
J. A. Montiel-Nelson, V. Navarro, J. Sosa, and T. Bautista, "Analysis and optimization of dynamically reconfigurable regenerative comparators for ultra-low power 6-bit TC-ADCs in 90 nm CMOS technologies, " Microelectronics, vol. 45, pp. 1247-1253, 2014.
-
(2014)
Microelectronics
, vol.45
, pp. 1247-1253
-
-
Montiel-Nelson, J.A.1
Navarro, V.2
Sosa, J.3
Bautista, T.4
-
74
-
-
0040783559
-
Stochastic synaptic plasticity in deterministic aVLSI networks of spiking neurons
-
E. Chicca and S. Fusi, "Stochastic synaptic plasticity in deterministic aVLSI networks of spiking neurons, " Proc. World Congr. Neuroin-format., 2001.
-
(2001)
Proc. World Congr. Neuroin-format.
-
-
Chicca, E.1
Fusi, S.2
-
75
-
-
84905474725
-
Poisson-like spiking in circuits with probabilistic synapses
-
R. Moreno-Bote, "Poisson-like spiking in circuits with probabilistic synapses, " PLoS Comput. Biol., vol. 10, no. 7, p. e1003522, 2014.
-
(2014)
PLoS Comput. Biol.
, vol.10
, Issue.7
, pp. e1003522
-
-
Moreno-Bote, R.1
|