메뉴 건너뛰기




Volumn 2, Issue , 2004, Pages 1469-1474

Using latent attractors to discern temporal order

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING SEQUENCES; NEURAL MODELS; RELEVANT PATTERNS; TEMPORAL ORDER;

EID: 10944239548     PISSN: 10987576     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2004.1380169     Document Type: Conference Paper
Times cited : (5)

References (33)
  • 1
    • 0028539375 scopus 로고
    • Memorizing binary vector sequences by a sparsely encoded network
    • Y. Baram. Memorizing binary vector sequences by a sparsely encoded network. IEEE Trans. on Neural Networks, 5:974-981, 1994.
    • (1994) IEEE Trans. on Neural Networks , vol.5 , pp. 974-981
    • Baram, Y.1
  • 2
    • 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 Trans. on Neural Networks, Vol. 5, No. 2:157-166, 1994.
    • (1994) IEEE Trans. on Neural Networks , vol.5 , Issue.2 , pp. 157-166
    • Bengio, Y.1    Simard, P.2    Frasconi, P.3
  • 3
    • 0015799240 scopus 로고
    • Long-lasting potentiation of synaptic transmission in the dentate area of the anesthetized rabbit following stimulation of the perforant path
    • T.V.P. Bliss and T. Lømo. Long-lasting potentiation of synaptic transmission in the dentate area of the anesthetized rabbit following stimulation of the perforant path. J. Physiol. (Lond.), 232:331-356, 1973.
    • (1973) J. Physiol. (Lond.) , vol.232 , pp. 331-356
    • Bliss, T.V.P.1    Lømo, T.2
  • 7
    • 0141705651 scopus 로고    scopus 로고
    • Latent attractor selection for variable length episodic context stimuli with distractors
    • S. Doboli and A.A Minai. Latent attractor selection for variable length episodic context stimuli with distractors. In Proc. of IJCNN'03, Portland, OR, USA, 2003.
    • (2003) Proc. of IJCNN'03, Portland, OR, USA
    • Doboli, S.1    Minai, A.A.2
  • 8
    • 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:Comput. Neural Syst., 14:273-302, 2003.
    • (2003) Network:Comput. Neural Syst. , vol.14 , pp. 273-302
    • Doboli, S.1    Minai, A.A.2
  • 9
    • 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
  • 10
    • 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
  • 11
    • 0027195617 scopus 로고
    • Bidirectional long-term modification of synaptic effectiveness in the adult and immature hippocampus
    • S.M. Dudek and M.F. Bear. Bidirectional long-term modification of synaptic effectiveness in the adult and immature hippocampus. J. Neurosci., 13:2910-2918, 1993.
    • (1993) J. Neurosci. , vol.13 , pp. 2910-2918
    • Dudek, S.M.1    Bear, M.F.2
  • 12
    • 26444565569 scopus 로고
    • Finding structure in time
    • J.L. Elman. Finding structure in time. Cog. Sci., 14:179-211, 1990.
    • (1990) Cog. Sci. , vol.14 , pp. 179-211
    • Elman, J.L.1
  • 13
    • 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 Trans. on Neural Networks, Vol. 7, No. 6:1521-1525, 1996.
    • (1996) IEEE Trans. on Neural Networks , vol.7 , Issue.6 , pp. 1521-1525
    • Frasconi, P.1    Gori, M.2
  • 14
    • 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
  • 15
    • 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
  • 16
    • 0028125059 scopus 로고
    • Non-hebbian properties of long-term potentiation enable high-capacity encoding of temporal sequences
    • R. Granger, J. Whitson, J. Larson, and G. Lynch. Non-hebbian properties of long-term potentiation enable high-capacity encoding of temporal sequences. Proc. Nat. Acad. Sci. USA, 91:10104-10108, 1994.
    • (1994) Proc. Nat. Acad. Sci. USA , vol.91 , pp. 10104-10108
    • Granger, R.1    Whitson, J.2    Larson, J.3    Lynch, G.4
  • 17
    • 34247119163 scopus 로고
    • Storage and retrieval of complex sequences in neural netwoks
    • I. Guyon, L. Personnaz, J.P. Nadal, and G. Dreyfus. Storage and retrieval of complex sequences in neural netwoks. Phys. Rev. A, 38:6365-6372, 1988.
    • (1988) Phys. Rev. A , vol.38 , pp. 6365-6372
    • Guyon, I.1    Personnaz, L.2    Nadal, J.P.3    Dreyfus, G.4
  • 18
    • 0026488883 scopus 로고
    • Retrieval of pattern sequences at variable speeds in neural network with delays
    • T.M. Heskes and S. Gielen. Retrieval of pattern sequences at variable speeds in neural network with delays. Neural Networks, 5:145-152, 1992.
    • (1992) Neural Networks , vol.5 , pp. 145-152
    • Heskes, T.M.1    Gielen, S.2
  • 19
    • 0001887517 scopus 로고
    • Attractor dynamics and parallelism in a connectionist sequential machine
    • 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
  • 20
    • 0018410588 scopus 로고
    • Synapses as associative memory elements in the hippocampal formation
    • W.B. Levy and O. Steward. Synapses as associative memory elements in the hippocampal formation. Brain Res., 175:233-245, 1979.
    • (1979) Brain Res. , vol.175 , pp. 233-245
    • Levy, W.B.1    Steward, O.2
  • 21
    • 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
  • 22
    • 0040675838 scopus 로고
    • Disambiguation of pattern sequences with recurrent networks
    • A.A. Minai, G.L. Barrows, and W.B. Levy. Disambiguation of pattern sequences with recurrent networks. In Proc. WCNN, San Diego, volume IV, pages 176-180, 1994.
    • (1994) Proc. WCNN, San Diego , vol.4 , pp. 176-180
    • Minai, A.A.1    Barrows, G.L.2    Levy, W.B.3
  • 23
    • 0031642602 scopus 로고    scopus 로고
    • Encoding spatial context: A hypothesis on the function of the dentate gyrus-hilus system
    • A.A. Minai and P.J. Best. Encoding spatial context: A hypothesis on the function of the dentate gyrus-hilus system. In Proc. Int. Joint Conf. on Neural Networks, Anchorage, pages 587-592, 1998.
    • (1998) Proc. Int. Joint Conf. on Neural Networks, Anchorage , pp. 587-592
    • Minai, A.A.1    Best, P.J.2
  • 24
    • 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
  • 25
    • 0026458086 scopus 로고
    • Mechanisms underlying induction of homosynaptic long-term depression in area CA1 of the hippocampus
    • R.M. Mulkey and R.C. Malenka. Mechanisms underlying induction of homosynaptic long-term depression in area CA1 of the hippocampus. Neuron, 9:967-975, 1992.
    • (1992) Neuron , vol.9 , pp. 967-975
    • Mulkey, R.M.1    Malenka, R.C.2
  • 26
    • 0002656190 scopus 로고
    • Feature discovery by competitive learning
    • D.E. Rumelhart and D. Zipser. Feature discovery by competitive learning. Cognitive Sci., 9:75-112, 1985.
    • (1985) Cognitive Sci. , vol.9 , pp. 75-112
    • Rumelhart, D.E.1    Zipser, D.2
  • 27
    • 0001553626 scopus 로고
    • Temporal association in asymmetric neural networks
    • H. Sompolinsky and I. Kanter. Temporal association in asymmetric neural networks. Phys. Rev. Lett., 57:2861-2864, 1986.
    • (1986) Phys. Rev. Lett. , vol.57 , pp. 2861-2864
    • Sompolinsky, H.1    Kanter, I.2
  • 28
    • 0001637805 scopus 로고    scopus 로고
    • Incremental learning of complex temporal patterns
    • D.L. Wang and B. Yuwono. Incremental learning of complex temporal patterns. IEEE Trans. on Neural Networks, 7:1465-1481, 1996.
    • (1996) IEEE Trans. on Neural Networks , vol.7 , pp. 1465-1481
    • Wang, D.L.1    Yuwono, B.2
  • 29
    • 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 Trans. on Systems, Man and Cybernetics - Part B: Cybernetics, 29:73-82, 1999.
    • (1999) IEEE Trans. on Systems, Man and Cybernetics - Part B: Cybernetics , vol.29 , pp. 73-82
    • Wang, L.1
  • 31
    • 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
  • 32
    • 0031283308 scopus 로고    scopus 로고
    • Artificial neural networks for molecular sequence analysis
    • C.H. Wu. Artificial neural networks for molecular sequence analysis. Computers & Chemistry, 21:237-256, 1997.
    • (1997) Computers & Chemistry , vol.21 , pp. 237-256
    • Wu, C.H.1
  • 33
    • 10944228151 scopus 로고    scopus 로고
    • Sequence mining in categorical domains: Algorithms and applications
    • 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


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.