-
1
-
-
0029557159
-
The Hebbian paradigm reintegrated: Local reverberations as internal representations
-
Amit D. The Hebbian paradigm reintegrated: Local reverberations as internal representations. Behavioral and Brain Sciences 18 4 (1995) 617-657
-
(1995)
Behavioral and Brain Sciences
, vol.18
, Issue.4
, pp. 617-657
-
-
Amit, D.1
-
2
-
-
0028392483
-
Learning long-term dependencies with gradient descent is difficult
-
Bengio Y., Simard P., and Frasconi P. Learning long-term dependencies with gradient descent is difficult. Neural Networks, IEEE Transactions on 5 2 (1994) 157-166
-
(1994)
Neural Networks, IEEE Transactions on
, vol.5
, Issue.2
, pp. 157-166
-
-
Bengio, Y.1
Simard, P.2
Frasconi, P.3
-
3
-
-
33744552729
-
Short-term memory for serial order: A recurrent neural network model
-
Botvinick M., and Plaut D. Short-term memory for serial order: A recurrent neural network model. Psychological Review 113 2 (2006) 201-233
-
(2006)
Psychological Review
, vol.113
, Issue.2
, pp. 201-233
-
-
Botvinick, M.1
Plaut, D.2
-
4
-
-
0031762840
-
A model of visuospatial working memory in prefrontal cortex: Recurrent network and cellular bistability
-
Camperi M., and Wang X. A model of visuospatial working memory in prefrontal cortex: Recurrent network and cellular bistability. Journal of Computational Neuroscience 5 4 (1998) 383-405
-
(1998)
Journal of Computational Neuroscience
, vol.5
, Issue.4
, pp. 383-405
-
-
Camperi, M.1
Wang, X.2
-
5
-
-
0026895542
-
Gamma model-A new neural model for temporal processing
-
De Vries B., and Principe J. Gamma model-A new neural model for temporal processing. Neural Networks 5 4 (1992) 565-576
-
(1992)
Neural Networks
, vol.5
, Issue.4
, pp. 565-576
-
-
De Vries, B.1
Principe, J.2
-
6
-
-
0037707290
-
Simple and conditioned adaptive behavior from Kalman filter trained recurrent networks?
-
Feldkamp L., Prokhorov D., and Feldkamp T. Simple and conditioned adaptive behavior from Kalman filter trained recurrent networks?. Neural Networks 16 5-6 (2003) 683-689
-
(2003)
Neural Networks
, vol.16
, Issue.5-6
, pp. 683-689
-
-
Feldkamp, L.1
Prokhorov, D.2
Feldkamp, T.3
-
7
-
-
0034293152
-
Learning to forget: Continual prediction with LSTM
-
Gers F., Schmidhuber J., and Cummins F. Learning to forget: Continual prediction with LSTM. Neural Computation 12 10 (2000) 2451-2471
-
(2000)
Neural Computation
, vol.12
, Issue.10
, pp. 2451-2471
-
-
Gers, F.1
Schmidhuber, J.2
Cummins, F.3
-
12
-
-
1842421269
-
Harnessing nonlinearity: Predicting chaotic systems and saving energy in wireless communication
-
Jaeger H., and Haas H. Harnessing nonlinearity: Predicting chaotic systems and saving energy in wireless communication. Science 304 5667 (2004) 78-80
-
(2004)
Science
, vol.304
, Issue.5667
, pp. 78-80
-
-
Jaeger, H.1
Haas, H.2
-
14
-
-
34250657707
-
A system for robotic heart surgery that learns to tie knots using recurrent neural networks
-
Mayer, H., Gomez, F., Wierstra, D., Nagy, I., Knoll, A., & Schmidhuber, J. (2006). A system for robotic heart surgery that learns to tie knots using recurrent neural networks. In Intelligent robots and systems, 2006 IEEE/RSJ international conference on (pp. 543-548)
-
(2006)
Intelligent robots and systems, 2006 IEEE/RSJ international conference on (pp
, pp. 543-548
-
-
Mayer, H.1
Gomez, F.2
Wierstra, D.3
Nagy, I.4
Knoll, A.5
Schmidhuber, J.6
-
16
-
-
0036083081
-
Adaptive behavior with fixed weights in RNN: An overview
-
nbsp;
-
Prokhorov, D., Feldkamp, L., & Tyukin, I. (2002). Adaptive behavior with fixed weights in RNN: An overview. In Proceedings of international joint conference on neural networks, (pp. 2018-2023) Vol. 2
-
(2002)
Proceedings of international joint conference on neural networks
, vol.2
, pp. 2018-2023
-
-
Prokhorov, D.1
Feldkamp, L.2
Tyukin, I.3
-
17
-
-
0022471098
-
Learning representations by back-propagating errors
-
Rumelhart D., Hinton G., and Williams R. Learning representations by back-propagating errors. Nature 323 6088 (1986) 533-536
-
(1986)
Nature
, vol.323
, Issue.6088
, pp. 533-536
-
-
Rumelhart, D.1
Hinton, G.2
Williams, R.3
-
20
-
-
0025503558
-
Backpropagation through time: What it does and how to do it
-
Werbos P. Backpropagation through time: What it does and how to do it. Proceedings of the IEEE 78 10 (1990) 1550-1560
-
(1990)
Proceedings of the IEEE
, vol.78
, Issue.10
, pp. 1550-1560
-
-
Werbos, P.1
-
21
-
-
2342592517
-
Short-term memory in orthogonal neural networks
-
White O., Lee D., and Sompolinsky H. Short-term memory in orthogonal neural networks. Physical Review Letters 92 14 (2004) 148102
-
(2004)
Physical Review Letters
, vol.92
, Issue.14
, pp. 148102
-
-
White, O.1
Lee, D.2
Sompolinsky, H.3
-
22
-
-
85132302281
-
Training recurrent networks using the extended Kalman filter. In Neural networks, 1
-
nbsp;
-
Williams, R. (1992). Training recurrent networks using the extended Kalman filter. In Neural networks, 1, 1992. IJCNN. International joint conference on, Vol. 4
-
(1992)
IJCNN. International joint conference on
, vol.4
, pp. 1992
-
-
Williams, R.1
-
23
-
-
0034877851
-
Meta-learning with backpropagation
-
nbsp;
-
Younger, A., Hochreiter, S., & Conwell, P. (2001). Meta-learning with backpropagation. In Neural networks,, 2001. Proceedings. IJCNN'01. International joint conference on, Vol. 3
-
(2001)
Neural networks, 2001. Proceedings. IJCNN'01. International joint conference on
, vol.3
-
-
Younger, A.1
Hochreiter, S.2
Conwell, P.3
|