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Volumn 35, Issue , 2006, Pages 135-169

Latent attractors: A general paradigm for context-dependent neural computation

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EID: 33750968805     PISSN: 1860949X     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-540-36122-0_6     Document Type: Article
Times cited : (3)

References (84)
  • 1
    • 0001915721 scopus 로고
    • Statistical neurodynamics of associative memory
    • S. Amari and K. Maginu. Statistical neurodynamics of associative memory. Neural Networks, 1:63-73, 1988.
    • (1988) Neural Networks , vol.1 , pp. 63-73
    • Amari, S.1    Maginu, K.2
  • 4
    • 0028392483 scopus 로고
    • Learning long-term dependencies with gradient descent is difficult
    • Y. Bengio, P. Simard, and P. Frasconi. Learning long-term dependencies with gradient descent is difficult. IEEE Transactions on Neural Networks, Vol. 5, No. 2:157-166, 1994.
    • (1994) IEEE Transactions on Neural Networks , vol.5 , Issue.2 , pp. 157-166
    • Bengio, Y.1    Simard, P.2    Frasconi, P.3
  • 5
    • 1942443210 scopus 로고    scopus 로고
    • Doing without schema hierarchies: A recurrent connectionist approach to normal and impaired routine sequential action
    • M. Botvinick and D.C. Plaut. Doing without schema hierarchies: A recurrent connectionist approach to normal and impaired routine sequential action. Psychological Review, 111:395-429, 2004.
    • (2004) Psychological Review , vol.111 , pp. 395-429
    • Botvinick, M.1    Plaut, D.C.2
  • 6
    • 0030499770 scopus 로고    scopus 로고
    • Neuronal computations underlying the firing of place cells and their role in navigation
    • N. Burgess. Neuronal computations underlying the firing of place cells and their role in navigation. Hippocampus, 6:749-762, 1996.
    • (1996) Hippocampus , vol.6 , pp. 749-762
    • Burgess, N.1
  • 7
    • 0034625265 scopus 로고    scopus 로고
    • Endless forms: The evolution of gene regulation and morphological diversity
    • S.B. Carroll. Endless forms: The evolution of gene regulation and morphological diversity. Cell, 101:577-580, 2000.
    • (2000) Cell , vol.101 , pp. 577-580
    • Carroll, S.B.1
  • 9
    • 0034862569 scopus 로고    scopus 로고
    • Progressive attractor selection in latent attractor networks
    • In Washington, D.C., USA
    • S. Doboli and A.A Minai. Progressive attractor selection in latent attractor networks. In Proceedings of IJCNN'01, Washington, D.C., USA, 2001.
    • (2001) Proceedings of IJCNN'01
    • Doboli, S.1    Minai, A.A.2
  • 11
    • 0141705651 scopus 로고    scopus 로고
    • Latent attractor selection for variable length episodic context stimuli with distractors
    • In Portland, OR, USA
    • S. Doboli and A.A Minai. Latent attractor selection for variable length episodic context stimuli with distractors. In Proceedings of IJCNN'2003, Portland, OR, USA, 2003.
    • (2003) Proceedings of IJCNN'2003
    • Doboli, S.1    Minai, A.A.2
  • 12
    • 0347478167 scopus 로고    scopus 로고
    • Network capacity analysis for latent attractor computation
    • S. Doboli and A.A Minai. Network capacity analysis for latent attractor computation. Network: Computation in Neural Systems, 14:273-302, 2003.
    • (2003) Network: Computation in Neural Systems , vol.14 , pp. 273-302
    • Doboli, S.1    Minai, A.A.2
  • 13
    • 10944239548 scopus 로고    scopus 로고
    • Using latent attractors to discern temporal order
    • In Budapest, Hungary
    • S. Doboli and A.A Minai. Using latent attractors to discern temporal order. In Proceedings of IJCNN'04, Budapest, Hungary, 2004.
    • (2004) Proceedings of IJCNN'04
    • Doboli, S.1    Minai, A.A.2
  • 15
    • 0033315769 scopus 로고    scopus 로고
    • Generating smooth context-dependent representations
    • In Washington D.C
    • S. Doboli, A.A. Minai, and P.J. Best. Generating smooth context-dependent representations. In Proceedings of IJCNN'99, Washington D.C., 1999.
    • (1999) Proceedings of IJCNN'99
    • Doboli, S.1    Minai, A.A.2    Best, P.J.3
  • 16
    • 0032878927 scopus 로고    scopus 로고
    • A latent attractors model of context selection in the dentate gyrus-hilus system
    • S. Doboli, A.A. Minai, and P.J. Best. A latent attractors model of context selection in the dentate gyrus-hilus system. Neurocomputing, 26-27:671-676, 1999.
    • (1999) Neurocomputing , vol.26-27 , pp. 671-676
    • Doboli, S.1    Minai, A.A.2    Best, P.J.3
  • 17
    • 0034180689 scopus 로고    scopus 로고
    • Latent attractors: A model for context-dependence place representations in the hippocampus
    • S. Doboli, A.A. Minai, and P.J. Best. Latent attractors: A model for context-dependence place representations in the hippocampus. Neural Computation, 12(5):1009-1043, 2000.
    • (2000) Neural Computation , vol.12 , Issue.5 , pp. 1009-1043
    • Doboli, S.1    Minai, A.A.2    Best, P.J.3
  • 18
    • 0000543358 scopus 로고    scopus 로고
    • Information capacity of a hierarchical neural network
    • D.R.C. Dominguez. Information capacity of a hierarchical neural network. Physical Review E, 58:4811-4815, 1998.
    • (1998) Physical Review E , vol.58 , pp. 4811-4815
    • Dominguez, D.R.C.1
  • 19
    • 4243352205 scopus 로고
    • Hierarchical model of memory
    • V.S. Dostenko. Hierarchical model of memory. Physica A, 140:410-415, 1986.
    • (1986) Physica A , vol.140 , pp. 410-415
    • Dostenko, V.S.1
  • 20
    • 33750994999 scopus 로고    scopus 로고
    • An adaptive coding model pf neural function in prefrontal cortex
    • J. Duncan. An adaptive coding model pf neural function in prefrontal cortex. Nature Reviews, 1:59-65, 2000.
    • (2000) Nature Reviews , vol.1 , pp. 59-65
    • Duncan, J.1
  • 22
    • 26444565569 scopus 로고
    • Finding structure in time
    • J.L. Elman. Finding structure in time. Cognitive Science, 14:179-211, 1990.
    • (1990) Cognitive Science , vol.14 , pp. 179-211
    • Elman, J.L.1
  • 23
    • 0001698763 scopus 로고    scopus 로고
    • Computational capabilities of local-feedback recurrent networks acting as finite-state machines
    • P. Frasconi and M. Gori. Computational capabilities of local-feedback recurrent networks acting as finite-state machines. IEEE Transactions on Neural Networks, Vol. 7, No. 6:1521-1525, 1996.
    • (1996) IEEE Transactions on Neural Networks , vol.7 , Issue.6 , pp. 1521-1525
    • Frasconi, P.1    Gori, M.2
  • 24
    • 0001657855 scopus 로고
    • Local feedback multilayered metworks
    • P. Frasconi, M. Gori, and G. Soda. Local feedback multilayered metworks. Neural Computation, 4:120-130, 1992.
    • (1992) Neural Computation , vol.4 , pp. 120-130
    • Frasconi, P.1    Gori, M.2    Soda, G.3
  • 25
    • 0000418266 scopus 로고
    • Tutorial on neurobuiology: From single neurons to brain chaos
    • W.J. Freeman. Tutorial on neurobuiology: From single neurons to brain chaos. International Journal of Bifurcation and Chaos, 2:451-482, 1992.
    • (1992) International Journal of Bifurcation and Chaos , vol.2 , pp. 451-482
    • Freeman, W.J.1
  • 27
    • 0001327717 scopus 로고
    • Learning and extracting finite state automata with second-order recurrent neural networks
    • C.L. Giles, C.B. Miller, D. Chen, H.H. Chen, G.Z. Sun, and Y.C. Lee. Learning and extracting finite state automata with second-order recurrent neural networks. Neural Computation, 4:393-405, 1992.
    • (1992) Neural Computation , vol.4 , pp. 393-405
    • Giles, C.L.1    Miller, C.B.2    Chen, D.3    Chen, H.H.4    Sun, G.Z.5    Lee, Y.C.6
  • 28
    • 0021927137 scopus 로고
    • A theoretical model of phase transition in human hand movement
    • H. Haken, J.A.S. Kelso, and H. Bunz. A theoretical model of phase transition in human hand movement. Biological Cybernetics, 51:347-356, 1985.
    • (1985) Biological Cybernetics , vol.51 , pp. 347-356
    • Haken, H.1    Kelso, J.A.S.2    Bunz, H.3
  • 29
    • 0027232366 scopus 로고
    • A high degree of spatial selectivity in the axonal and dendritic domains of physiologically identified local-circuit neurons in the dentate gyrus of the rat hippocampus
    • Z.-S. Han, E.H. Buhl, Z. Lörinczi, and P. Somogyi. A high degree of spatial selectivity in the axonal and dendritic domains of physiologically identified local-circuit neurons in the dentate gyrus of the rat hippocampus. European Journal of Neuroscience, 5:395-410, 1993.
    • (1993) European Journal of Neuroscience , vol.5 , pp. 395-410
    • Han, Z.-S.1    Buhl, E.H.2    Lörinczi, Z.3    Somogyi, P.4
  • 30
    • 0029029583 scopus 로고
    • Dynamics of learning and recall at excitatory recurrent synapses and cholinergic modulation in hippocampal region CA3
    • M.E. Hasselmo, E. Schnell, and E. Barkai. Dynamics of learning and recall at excitatory recurrent synapses and cholinergic modulation in hippocampal region CA3. Journal of Neuroscience, 15:5249-5262, 1995.
    • (1995) Journal of Neuroscience , vol.15 , pp. 5249-5262
    • Hasselmo, M.E.1    Schnell, E.2    Barkai, E.3
  • 32
    • 0020118274 scopus 로고
    • Neural networks and physical systems with emergent collective computational abilities
    • J.J. Hopfield. Neural networks and physical systems with emergent collective computational abilities. Proceedings of the National Academy of Sciences USA, 79:2554-2558, 1982.
    • (1982) Proceedings of the National Academy of Sciences USA , vol.79 , pp. 2554-2558
    • Hopfield, J.J.1
  • 33
    • 0004469897 scopus 로고
    • Neurons with graded response have collective computationasl properties like those of two-state neurons
    • J.J. Hopfield. Neurons with graded response have collective computationasl properties like those of two-state neurons. Proceedings of the National Academy of Sciences USA, 81:3088-3092, 1984.
    • (1984) Proceedings of the National Academy of Sciences USA , vol.81 , pp. 3088-3092
    • Hopfield, J.J.1
  • 34
    • 0029942342 scopus 로고    scopus 로고
    • Positive feedback from hilar mossy cells to granule cells in the dentate gyrus revealed by voltage-sensitive dye and microelectrode recording
    • M.B. Jackson and H.E. Scharfman. Positive feedback from hilar mossy cells to granule cells in the dentate gyrus revealed by voltage-sensitive dye and microelectrode recording. Journal of Neurophysiology, 76:601-616, 1996.
    • (1996) Journal of Neurophysiology , vol.76 , pp. 601-616
    • Jackson, M.B.1    Scharfman, H.E.2
  • 35
    • 0001887517 scopus 로고
    • Attractor dynamics and parallelism in a connectionist sequential machine
    • In Lawrence Elbaum
    • M.I. Jordan. Attractor dynamics and parallelism in a connectionist sequential machine. In Proc. 8th Conference of the Cognitive Science Society, pages 531-546. Lawrence Elbaum, 1986.
    • (1986) Proc. 8th Conference of the Cognitive Science Society , pp. 531-546
    • Jordan, M.I.1
  • 39
    • 0040437042 scopus 로고    scopus 로고
    • Chaotic resonance - Methods and applications for robust classification of noisy and variable patterns
    • R. Kozma and W.J. Freeman. Chaotic resonance - methods and applications for robust classification of noisy and variable patterns. International Journal of Bifurcation and Chaos, 11:1607-1629, 2001.
    • (2001) International Journal of Bifurcation and Chaos , vol.11 , pp. 1607-1629
    • Kozma, R.1    Freeman, W.J.2
  • 40
    • 77957090033 scopus 로고
    • A computational approach to hippocampal function
    • In R.D. Hawkins and G.H. Bower, editors, Academic Press, San Diego, CA
    • W.B. Levy. A computational approach to hippocampal function. In R.D. Hawkins and G.H. Bower, editors, Computational Models of Learning in Simple Neural Systems, pages 243-305. Academic Press, San Diego, CA, 1989.
    • (1989) Computational Models of Learning in Simple Neural Systems , pp. 243-305
    • Levy, W.B.1
  • 41
    • 0030513846 scopus 로고    scopus 로고
    • A sequence predicting CA3 is a flexible associator that learns and uses context to solve hippocampal-like tasks
    • W.B. Levy. A sequence predicting CA3 is a flexible associator that learns and uses context to solve hippocampal-like tasks. Hippocampus, 6:579-591, 1996.
    • (1996) Hippocampus , vol.6 , pp. 579-591
    • Levy, W.B.1
  • 42
    • 0001766069 scopus 로고    scopus 로고
    • The relationship of local context cues to sequence length memory capacity
    • W.B. Levy and X. Wu. The relationship of local context cues to sequence length memory capacity. Network, 7:371-384, 1996.
    • (1996) Network , vol.7 , pp. 371-384
    • Levy, W.B.1    Wu, X.2
  • 44
    • 0033082358 scopus 로고    scopus 로고
    • Relating hippocampal circuitry to function: The role of reciprocal dentate-CA3 interaction in the recall of sequences
    • J.E. Lisman. Relating hippocampal circuitry to function: The role of reciprocal dentate-CA3 interaction in the recall of sequences. Neuron, 22:233-242, 1999.
    • (1999) Neuron , vol.22 , pp. 233-242
    • Lisman, J.E.1
  • 45
    • 0028839248 scopus 로고
    • Interactions between location and task affect the spatial and directional firing of hippocampal neurons
    • E.J. Markus, Y.-L. Qin, B. Leonard, W.E. Skaggs, B.L. McNaughton, and C.A. Barnes. Interactions between location and task affect the spatial and directional firing of hippocampal neurons. Journal of Neuroscience, 15:7079-7094, 1995.
    • (1995) Journal of Neuroscience , vol.15 , pp. 7079-7094
    • Markus, E.J.1    Qin, Y.-L.2    Leonard, B.3    Skaggs, W.E.4    McNaughton, B.L.5    Barnes, C.A.6
  • 47
    • 0842324774 scopus 로고    scopus 로고
    • Cooperative ltp can map memory sequences on dendritic branches
    • M. R. Mehta. Cooperative ltp can map memory sequences on dendritic branches. Trends in Neurosciences, 27(2):69-72, 2004.
    • (2004) Trends in Neurosciences , vol.27 , Issue.2 , pp. 69-72
    • Mehta, M.R.1
  • 48
    • 33750981621 scopus 로고    scopus 로고
    • The prefrontal cortex and cognitive control
    • E.K. Miller. The prefrontal cortex and cognitive control. Nature Reviews, 2:820-829, 2001.
    • (2001) Nature Reviews , vol.2 , pp. 820-829
    • Miller, E.K.1
  • 51
    • 0029874919 scopus 로고    scopus 로고
    • Altered inhibition of dentate granule cells during spatial learning in an exploration task
    • E.I. Moser. Altered inhibition of dentate granule cells during spatial learning in an exploration task. Journal of Neuroscience, 16:1247-1259, 1996.
    • (1996) Journal of Neuroscience , vol.16 , pp. 1247-1259
    • Moser, E.I.1
  • 52
    • 0008554931 scopus 로고
    • A focused backpropagation algorithm for temporal pattern recognition
    • M.C. Mozer. A focused backpropagation algorithm for temporal pattern recognition. Complex Systems, 3:349-381, 1989.
    • (1989) Complex Systems , vol.3 , pp. 349-381
    • Mozer, M.C.1
  • 54
    • 21144465897 scopus 로고
    • A feature retrieving attractor neural network
    • D. O'Kane and D. Sherrington. A feature retrieving attractor neural network. Journal of Physics A, 26:2333-2342, 1993.
    • (1993) Journal of Physics A , vol.26 , pp. 2333-2342
    • O'Kane, D.1    Sherrington, D.2
  • 55
    • 21144472440 scopus 로고
    • Short- and long-range connections in autoassociative memory
    • D. O'Kane and A. Treves. Short- and long-range connections in autoassociative memory. Journal of Physics A, 25:5055-5069, 1992.
    • (1992) Journal of Physics A , vol.25 , pp. 5055-5069
    • O'Kane, D.1    Treves, A.2
  • 57
    • 33644927837 scopus 로고    scopus 로고
    • Making working memory work: A computational model of learning in the prefrontal cortex and basal ganglia
    • R.C O'Reilly and M.J. Frank. Making working memory work: A computational model of learning in the prefrontal cortex and basal ganglia. Neural Computation, 18(2):283-328, 2005.
    • (2005) Neural Computation , vol.18 , Issue.2 , pp. 283-328
    • O'Reilly, R.C.1    Frank, M.J.2
  • 58
    • 0001202597 scopus 로고
    • Learning state space trajectories in recurrent neural networks
    • B.A. Pearlmutter. Learning state space trajectories in recurrent neural networks. Neural Computation, 1:263-269, 1989.
    • (1989) Neural Computation , vol.1 , pp. 263-269
    • Pearlmutter, B.A.1
  • 59
    • 33750987722 scopus 로고
    • Retrieval properties of neural networks with hierarchical clustering
    • M.A. Pires Idiart and A. Theumann. Retrieval properties of neural networks with hierarchical clustering. Journal of Physics A, 24:L649-L658, 1991.
    • (1991) Journal of Physics A , vol.24
    • Pires Idiart, M.A.1    Theumann, A.2
  • 60
    • 0025443109 scopus 로고
    • The firing of hippocampal place cells in the dark depends on the rat's recent experience
    • G.J. Quirk, R.U. Muller, and J.L. Kubie. The firing of hippocampal place cells in the dark depends on the rat's recent experience. Journal of Neuroscience, 10:2008-2017, 1990.
    • (1990) Journal of Neuroscience , vol.10 , pp. 2008-2017
    • Quirk, G.J.1    Muller, R.U.2    Kubie, J.L.3
  • 61
    • 0010153661 scopus 로고    scopus 로고
    • Beyond the Cognitive Map: Contributions to a Computational Neuroscience Theory of Rodent Navigation
    • PhD thesis, Carnegie-Mellon University
    • A.D. Redish. Beyond the Cognitive Map: Contributions to a Computational Neuroscience Theory of Rodent Navigation. PhD thesis, Carnegie-Mellon University, 1997.
    • (1997)
    • Redish, A.D.1
  • 62
    • 0031029366 scopus 로고    scopus 로고
    • Cognitive maps beyond the hippocampus
    • A.D. Redish and D.S. Touretzky. Cognitive maps beyond the hippocampus. Hippocampus, 7:15-35, 1997.
    • (1997) Hippocampus , vol.7 , pp. 15-35
    • Redish, A.D.1    Touretzky, D.S.2
  • 63
    • 0026402671 scopus 로고
    • Storing temporal sequences
    • M. Reiss and J.G. Taylor. Storing temporal sequences. Neural Networks, 4:773-787, 1991.
    • (1991) Neural Networks , vol.4 , pp. 773-787
    • Reiss, M.1    Taylor, J.G.2
  • 64
    • 0036257210 scopus 로고    scopus 로고
    • Variability and determinism in motor behavior
    • M.A. Riley and M.T. Turvey. Variability and determinism in motor behavior. Journal of Motor Behavior, 34:99-125, 2002.
    • (2002) Journal of Motor Behavior , vol.34 , pp. 99-125
    • Riley, M.A.1    Turvey, M.T.2
  • 65
    • 0002684340 scopus 로고
    • The representation and storage of information in neuronal networks in the primate cerebral cortex and hippocampus
    • In R. Durbin, C. Miall, and G. Mitchison, editors, Addison-Wesley, Reading, MA
    • E.T. Rolls. The representation and storage of information in neuronal networks in the primate cerebral cortex and hippocampus. In R. Durbin, C. Miall, and G. Mitchison, editors, The Computing Neuron, pages 125-159. Addison-Wesley, Reading, MA, 1989.
    • (1989) The Computing Neuron , pp. 125-159
    • Rolls, E.T.1
  • 66
    • 0031590428 scopus 로고    scopus 로고
    • Variable place-cell coupling to a continuously viewed stimulus: Evidence that the hippocampus acts as a perceptual system
    • A. Rotenberg and R.U. Muller. Variable place-cell coupling to a continuously viewed stimulus: Evidence that the hippocampus acts as a perceptual system. Philosophical Transactions of the Royal Society of London B, 352:1505-1513, 1997.
    • (1997) Philosophical Transactions of the Royal Society of London B , vol.352 , pp. 1505-1513
    • Rotenberg, A.1    Muller, R.U.2
  • 68
    • 0043057281 scopus 로고    scopus 로고
    • Learning representations in a gated prefrontal cortex model of dynamic task switching
    • N.P. Rougier and R.C. O'Reilly. Learning representations in a gated prefrontal cortex model of dynamic task switching. Cognitive Science, 26:503-520, 2002.
    • (2002) Cognitive Science , vol.26 , pp. 503-520
    • Rougier, N.P.1    O'Reilly, R.C.2
  • 69
    • 0030877821 scopus 로고    scopus 로고
    • Path integration and cognitive mapping in a continuous attractor neural network model
    • A. Samsonovich and B.L. McNaughton. Path integration and cognitive mapping in a continuous attractor neural network model. Journal of Neuroscience, 17:5900-5920, 1997.
    • (1997) Journal of Neuroscience , vol.17 , pp. 5900-5920
    • Samsonovich, A.1    McNaughton, B.L.2
  • 70
    • 0346377064 scopus 로고
    • Learning to control fast-weight memories: An alternative to dynamic recurrent networks
    • J. Schmidhuber. Learning to control fast-weight memories: An alternative to dynamic recurrent networks. Neural Computation, 4:131-139, 1992.
    • (1992) Neural Computation , vol.4 , pp. 131-139
    • Schmidhuber, J.1
  • 72
    • 0345983657 scopus 로고    scopus 로고
    • From boolean to probabilistic boolean networks as models of genetic regularoty networks
    • I. Shmulevich, E.R. Dougherty, and W. Zhang. From boolean to probabilistic boolean networks as models of genetic regularoty networks. Proceedings of the IEEE, 90:1778-1792, 2002.
    • (2002) Proceedings of the IEEE , vol.90 , pp. 1778-1792
    • Shmulevich, I.1    Dougherty, E.R.2    Zhang, W.3
  • 73
    • 0030012117 scopus 로고    scopus 로고
    • Replay of neuronal firing sequences in rat hippocampus during sleep following spatial experience
    • W.E. Skaggs and B.L. McNaughton. Replay of neuronal firing sequences in rat hippocampus during sleep following spatial experience. Science, 271:1870-1873, 1996.
    • (1996) Science , vol.271 , pp. 1870-1873
    • Skaggs, W.E.1    McNaughton, B.L.2
  • 74
    • 0031944754 scopus 로고    scopus 로고
    • B modulation improves sequence disambiguation in computational models of hippocampal region CA3
    • B modulation improves sequence disambiguation in computational models of hippocampal region CA3. Hippocampus, 8:171-193, 1998.
    • (1998) Hippocampus , vol.8 , pp. 171-193
    • Sohal, V.S.1    Hasselmo, M.E.2
  • 75
    • 0001553626 scopus 로고
    • Temporal association in asymmetric neural networks
    • H. Sompolinsky and I. Kanter. Temporal association in asymmetric neural networks. Physical Review Letters, 57:2861-2864, 1986.
    • (1986) Physical Review Letters , vol.57 , pp. 2861-2864
    • Sompolinsky, H.1    Kanter, I.2
  • 79
  • 80
    • 0033078666 scopus 로고    scopus 로고
    • Multi-associative neural networks and their applications to learning and retrieving complex spatio-temporal sequences
    • L. Wang. Multi-associative neural networks and their applications to learning and retrieving complex spatio-temporal sequences. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, 29:73-82, 1999.
    • (1999) IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics , vol.29 , pp. 73-82
    • Wang, L.1
  • 81
    • 0001202594 scopus 로고
    • A learning algorithm for continually running fully recurrent neural networks
    • R.J. Williams and D. Zipser. A learning algorithm for continually running fully recurrent neural networks. Neural Computation, 1:270-280, 1989.
    • (1989) Neural Computation , vol.1 , pp. 270-280
    • Williams, R.J.1    Zipser, D.2
  • 84
    • 10944228151 scopus 로고    scopus 로고
    • Sequence mining in categorical domains: Algorithms and applications
    • In R. Sun and C.L. Giles, editors, Springer-Verlag, Berlin
    • M.J. Zaki. Sequence mining in categorical domains: Algorithms and applications. In R. Sun and C.L. Giles, editors, Sequence Learning: Paradigms, Algorithms, and Applications, pages 162-187. Springer-Verlag, Berlin, 2000.
    • (2000) Sequence Learning: Paradigms, Algorithms, and Applications , pp. 162-187
    • Zaki, M.J.1


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