-
1
-
-
84867135575
-
Building high-level features using large scale unsupervised learning
-
Q. V. Le, M. A. Ranzato, R. Monga, M. Devin, K. Chen, G. S. Corrado, J. Dean, and A. Y. Ng, Building high-level features using large scale unsupervised learning, International Conference on Machine Learning (ICML) 2012
-
(2012)
International Conference on Machine Learning (ICML)
-
-
Le, Q.V.1
Ranzato, M.A.2
Monga, R.3
Devin, M.4
Chen, K.5
Corrado, G.S.6
Dean, J.7
Ng, A.Y.8
-
2
-
-
84905915006
-
A million spiking-neuron integrated circuit with a scalable communication network and interface
-
P. A. Merolla, J. V. Arthur, R. Alvarez-Icaza, A. S. Cassidy, J. Sawada, F. Akopyan, B. L. Jackson, N. Imam, C. Guo, Y. Nakamura, B. Brezzo, I. Vo, S. K. Esser, R. Appuswamy, B. Taba, A. Amir, M. D. Flickner, W. P. Risk, R. Manohar, and D. S. Modha, A million spiking-neuron integrated circuit with a scalable communication network and interface, Science, vol. 345, no. 6197, pp. 668-673, 2014
-
(2014)
Science
, vol.345
, Issue.6197
, pp. 668-673
-
-
Merolla, P.A.1
Arthur, J.V.2
Alvarez-Icaza, R.3
Cassidy, A.S.4
Sawada, J.5
Akopyan, F.6
Jackson, B.L.7
Imam, N.8
Guo, C.9
Nakamura, Y.10
Brezzo, B.11
Vo, I.12
Esser, S.K.13
Appuswamy, R.14
Taba, B.15
Amir, A.16
Flickner, M.D.17
Risk, W.P.18
Manohar, R.19
Modha, D.S.20
more..
-
3
-
-
84883517906
-
Synaptic electronics: Materials, devices and applications
-
D. Kuzum, S. Yu, and H.-S. P. Wong, Synaptic electronics: materials, devices and applications, Nanotechnology, vol. 24, 382001, 2013
-
(2013)
Nanotechnology
, vol.24
, pp. 382001
-
-
Kuzum, D.1
Yu, S.2
Wong, H.-S.P.3
-
4
-
-
77951026760
-
Nanoscale memristor device as synapse in neuromorphic systems
-
S. H. Jo, T. Chang, I. Ebong, B. B. Bhadviya, P. Mazumder, and W. Lu, Nanoscale memristor device as synapse in neuromorphic systems, Nano letters, vol. 10, no. 4, pp. 1297-1301, 2010
-
(2010)
Nano Letters
, vol.10
, Issue.4
, pp. 1297-1301
-
-
Jo, S.H.1
Chang, T.2
Ebong, I.3
Bhadviya, B.B.4
Mazumder, P.5
Lu, W.6
-
5
-
-
84897828040
-
Training itself: Mixed-signal training acceleration for memristor-based neural network
-
B. Li, Y. Wang, H. Yang, J. Wong, and Y. Chen, Training itself: mixed-signal training acceleration for memristor-based neural network, Asia and South Pacific Design Automation Conference (ASP-DAC) 2014, pp. 361-366
-
(2014)
Asia and South Pacific Design Automation Conference (ASP-DAC)
, pp. 361-366
-
-
Li, B.1
Wang, Y.2
Yang, H.3
Wong, J.4
Chen, Y.5
-
6
-
-
84906775273
-
On-chip supervised learning rule for ultra high density neural crossbar using memristor for synapse and neuron
-
D. Chabi, Z. Wang, W. Zhao, and J.-O. Klein, On-chip supervised learning rule for ultra high density neural crossbar using memristor for synapse and neuron, IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH) 2014, pp. 7-12
-
(2014)
IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH)
, pp. 7-12
-
-
Chabi, D.1
Wang, Z.2
Zhao, W.3
Klein, J.-O.4
-
7
-
-
84876111279
-
CBRAM devices as binary synapses for low-power stochastic neuromorphic systems: Auditory (cochlea) and visual (retina) cognitive processing applications
-
M. Suri, O. Bichler, D. Querlioz, G. Palma, E. Vianello, D. Vuillaume, C. Gamrat, and B. DeSalvo, CBRAM devices as binary synapses for low-power stochastic neuromorphic systems: auditory (cochlea) and visual (retina) cognitive processing applications, IEEE International Electron Devices Meeting (IEDM), pp. 235-238, 2012
-
(2012)
IEEE International Electron Devices Meeting (IEDM)
, pp. 235-238
-
-
Suri, M.1
Bichler, O.2
Querlioz, D.3
Palma, G.4
Vianello, E.5
Vuillaume, D.6
Gamrat, C.7
DeSalvo, B.8
-
8
-
-
84896979826
-
Pattern classification by memristive crossbar circuits with ex-situ and in-situ training
-
F. Alibart, E. Zamanidoost, and D. B. Strukov, Pattern classification by memristive crossbar circuits with ex-situ and in-situ training, Nature Communications, 4:2072, 2013
-
(2013)
Nature Communications
, vol.4
, pp. 2072
-
-
Alibart, F.1
Zamanidoost, E.2
Strukov, D.B.3
-
9
-
-
84875158827
-
A low energy oxide-based electronic synaptic device for neuromorphic visual system with tolerance to device variation
-
S. Yu, B. Gao, Z. Fang, H. Y. Yu, J. F. Kang, and H.-S. P. Wong, A low energy oxide-based electronic synaptic device for neuromorphic visual system with tolerance to device variation, Advanced Materials, vol. 25, no. 12, pp. 1774-1779, 2013
-
(2013)
Advanced Materials
, vol.25
, Issue.12
, pp. 1774-1779
-
-
Yu, S.1
Gao, B.2
Fang, Z.3
Yu, H.Y.4
Kang, J.F.5
Wong, H.-S.P.6
-
10
-
-
84905920654
-
Brain-like associative learning using a nanoscale non-volatile phase change synaptic device array
-
S. B. Eryilmaz, D. Kuzum, R. Jeyasingh, S. Kim, M. Brightsky, C. Lam, and H.-S. P. Wong, Brain-like associative learning using a nanoscale non-volatile phase change synaptic device array, Frontiers in Neuroscience, 8:205, 2014
-
(2014)
Frontiers in Neuroscience
, vol.8
, pp. 205
-
-
Eryilmaz, S.B.1
Kuzum, D.2
Jeyasingh, R.3
Kim, S.4
Brightsky, M.5
Lam, C.6
Wong, H.-S.P.7
-
11
-
-
84864036295
-
Efficient sparse coding algorithms
-
H. Lee, A. Battle, R. Raina, and A. Y. Ng, Efficient sparse coding algorithms, Advances in Neural Information Processing Systems (NIPS), pp. 801-808, 2006
-
(2006)
Advances in Neural Information Processing Systems (NIPS)
, pp. 801-808
-
-
Lee, H.1
Battle, A.2
Raina, R.3
Ng, A.Y.4
-
12
-
-
0029938380
-
Emergence of simple-cell receptive field properties by learning a sparse code for natural images
-
B. A. Olshausen, and D. J. Field, Emergence of simple-cell receptive field properties by learning a sparse code for natural images, Nature, vol. 381, no. 6583, pp. 607-609, 1996
-
(1996)
Nature
, vol.381
, Issue.6583
, pp. 607-609
-
-
Olshausen, B.A.1
Field, D.J.2
-
13
-
-
84945960225
-
-
Handwriting MNIST data set, http://yann.lecun.com/exdb/mnist
-
-
-
-
14
-
-
84920545941
-
Neurophysics-inspired parallel architecture with resistive crosspoint array for dictionary learning
-
D. Kadetotad, Z. Xu, A. Mohanty, P.-Y. Chen, B. Lin, J. Ye, S. Vrudhula, S. Yu, Y. Cao, J. Seo, Neurophysics-inspired parallel architecture with resistive crosspoint array for dictionary learning, IEEE Biomedical Circuits and Systems Conference (BioCAS), pp. 536-539, 2014
-
(2014)
IEEE Biomedical Circuits and Systems Conference (BioCAS)
, pp. 536-539
-
-
Kadetotad, D.1
Xu, Z.2
Mohanty, A.3
Chen, P.-Y.4
Lin, B.5
Ye, J.6
Vrudhula, S.7
Yu, S.8
Cao, Y.9
Seo, J.10
-
15
-
-
84945922056
-
-
International Technology Roadmap for Semiconductors (ITRS), http://www.itrs.net/reports.html
-
-
-
|