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Volumn 8, Issue 3, 2004, Pages 301-322

Sequential learning in neural networks: A review and a discussion of pseudorehearsal based methods

Author keywords

catastrophic forgetting; consolidation; pseudorehearsal; rehearsal; sequential learning

Indexed keywords

CONSOLIDATION; NEURAL NETWORKS;

EID: 13144253819     PISSN: 1088467X     EISSN: 15714128     Source Type: Journal    
DOI: 10.3233/ida-2004-8306     Document Type: Review
Times cited : (30)

References (68)
  • 1
    • 0031457098 scopus 로고    scopus 로고
    • Avoiding catastrophic forgetting by coupling two reverberating neural networks
    • B. Ans and S. Rousset, Avoiding catastrophic forgetting by coupling two reverberating neural networks, C. R. Acad. Sci. Paris, Life Sciences 320 (1997), 989-997.
    • (1997) C. R. Acad. Sci. Paris, Life Sciences , vol.320 , pp. 989-997
    • Ans, B.1    Rousset, S.2
  • 2
    • 0034146910 scopus 로고    scopus 로고
    • Neural networks with a self-refreshing memory: Knowledge transfer in sequential learning tasks without catastrophic forgetting
    • B. Ans and S. Rousset, Neural Networks With a Self-refreshing Memory: Knowledge transfer in Sequential Learning Tasks without Catastrophic Forgetting, Connection Science 12 (2000), 1-19.
    • (2000) Connection Science , vol.12 , pp. 1-19
    • Ans, B.1    Rousset, S.2
  • 4
    • 84883682320 scopus 로고    scopus 로고
    • Self-refreshing memory in artificial neural networks: Learning temporal sequences without catastrophic forgetting
    • B. Ans, S. Rousset, S. Musca and R.M. French, Self-refreshing memory in artificial neural networks: Learning temporal sequences without catastrophic forgetting, Submitted to Cognitive Science (2003).
    • (2003) Cognitive Science
    • Ans, B.1    Rousset, S.2    Musca, S.3    French, R.M.4
  • 5
    • 0039066538 scopus 로고
    • Neural network models of list learning
    • N. Burgess, J.L. Shapiro and M.A. Moore, Neural network models of list learning, Network 2 (1991), 399-422.
    • (1991) Network , vol.2 , pp. 399-422
    • Burgess, N.1    Shapiro, J.L.2    Moore, M.A.3
  • 6
    • 0000876414 scopus 로고
    • Local learning algorithms
    • L. Bottu and V. Vapnik, Local Learning Algorithms, Neural Computation 4 (1992), 888-900.
    • (1992) Neural Computation , vol.4 , pp. 888-900
    • Bottu, L.1    Vapnik, V.2
  • 7
    • 0021776661 scopus 로고
    • A massively parallel architecture for a self-organizing neural pattern recognition machine
    • G. Carpenter and S. Grossberg, A massively parallel architecture for a self-organizing neural pattern recognition machine, Computer Vision, Graphics, and Image Processing 37 (1987), 54-115.
    • (1987) Computer Vision, Graphics, and Image Processing , vol.37 , pp. 54-115
    • Carpenter, G.1    Grossberg, S.2
  • 8
    • 0023981451 scopus 로고
    • The ART of adaptive pattern recognition by a self-organizing neural network
    • G. Carpenter and S. Grossberg, The ART of adaptive pattern recognition by a self-organizing neural network, Computer 21 (1988), 77-88.
    • (1988) Computer , vol.21 , pp. 77-88
    • Carpenter, G.1    Grossberg, S.2
  • 9
    • 0030130742 scopus 로고    scopus 로고
    • Investigation of the Crick-Mitchison reverse-learning dream sleep hypothesis in a dynamical setting
    • G.A. Christos, Investigation of the Crick-Mitchison reverse-learning dream sleep hypothesis in a dynamical setting, Neural Networks 9 (1996), 427-434.
    • (1996) Neural Networks , vol.9 , pp. 427-434
    • Christos, G.A.1
  • 10
    • 0020966176 scopus 로고
    • The function of dream sleep
    • F. Crick and G. Mitchison, The function of dream sleep, Nature 304 (1983), 111-114.
    • (1983) Nature , vol.304 , pp. 111-114
    • Crick, F.1    Mitchison, G.2
  • 13
    • 0000155950 scopus 로고
    • The cascade-correlation learning architecture
    • D. Touretzky, ed., Morgan Kauffman, San Mateo
    • S. Fahlman and C. Lebiere, The cascade-correlation learning architecture, in: Advances in Neural Information Processing Systems II, D. Touretzky, ed., Morgan Kauffman, San Mateo, 1990, pp. 524-532.
    • (1990) Advances in Neural Information Processing Systems II , pp. 524-532
    • Fahlman, S.1    Lebiere, C.2
  • 14
    • 49049129797 scopus 로고
    • Connectionist models and their properties
    • J.A. Feldman and D.H. Ballard, Connectionist models and their properties, Cognitive Science 6 (1982), 205-254.
    • (1982) Cognitive Science , vol.6 , pp. 205-254
    • Feldman, J.A.1    Ballard, D.H.2
  • 15
    • 0007133880 scopus 로고
    • A thermal perceptron learning rule
    • M. Frean, A thermal perceptron learning rule, Neural Computation 4 (1992), 946-957.
    • (1992) Neural Computation , vol.4 , pp. 946-957
    • Frean, M.1
  • 16
    • 0042912151 scopus 로고    scopus 로고
    • Catastrophic forgetting in simple networks: An analysis of the pseudorehearsal solution
    • M. Frean and A. Robins, Catastrophic forgetting in simple networks: An analysis of the pseudorehearsal solution, Network: Computation in Neural Systems 10 (1999), 227-236.
    • (1999) Network: Computation in Neural Systems , vol.10 , pp. 227-236
    • Frean, M.1    Robins, A.2
  • 17
    • 21144473082 scopus 로고
    • Semi-distributed representations and catastrophic forgetting in connectionist networks
    • R.M. French, Semi-distributed representations and catastrophic forgetting in connectionist networks, Connection Science 4(3&4) (1992), 365-377.
    • (1992) Connection Science , vol.4 , Issue.3-4 , pp. 365-377
    • French, R.M.1
  • 18
    • 0002146148 scopus 로고
    • Dynamically constraining connectionist networks to produce distributed, orthogonal representations to reduce catastrophic interference
    • Earlbaum, Hillsdale NJ
    • R.M. French, Dynamically constraining connectionist networks to produce distributed, orthogonal representations to reduce catastrophic interference, Proceedings of the 16th Annual Cognitive Science Society Conference, Earlbaum, Hillsdale NJ, 1994, pp. 335-340.
    • (1994) Proceedings of the 16th Annual Cognitive Science Society Conference , pp. 335-340
    • French, R.M.1
  • 19
    • 0347683832 scopus 로고    scopus 로고
    • Interactive connectionist networks: An approach to the sensitivity-stability dilemma
    • R.M. French, Interactive connectionist networks: An approach to the sensitivity-stability dilemma, Connection Science 9 (1997), 353-380.
    • (1997) Connection Science , vol.9 , pp. 353-380
    • French, R.M.1
  • 20
    • 84875558488 scopus 로고    scopus 로고
    • Selective memory loss in aphasics: An insight from pseudo-recurrent connectionist networks
    • J. Bullanaria, G. Houghton and D. Glasspool, eds, Springer Verlag, Berlin
    • R.M. French, Selective memory loss in aphasics: An insight from pseudo-recurrent connectionist networks, in: Connectionist representations: Proceedings of the fourth annual computation and psychology workshop, J. Bullanaria, G. Houghton and D. Glasspool, eds, Springer Verlag, Berlin, 1997, pp. 183-195.
    • (1997) Connectionist Representations: Proceedings of the Fourth Annual Computation and Psychology Workshop , pp. 183-195
    • French, R.M.1
  • 21
    • 0032923221 scopus 로고    scopus 로고
    • Catastrophic forgetting in connectionist networks: Causes consequences and solutions
    • R.M. French, Catastrophic forgetting in connectionist networks: causes, consequences and solutions, Trends in Cognitive Science 3(4) (1999), 128-135.
    • (1999) Trends in Cognitive Science , vol.3 , Issue.4 , pp. 128-135
    • French, R.M.1
  • 22
    • 4544318948 scopus 로고    scopus 로고
    • Pseudopatterns and dual-network memory models: Advantages and shortcomings
    • R.M. French and J.P. Sougńe, eds Springer, Berlin
    • R.M. French, B. Ans and S. Rousset, Pseudopatterns and dual-network memory models: advantages and shortcomings, in: Connectionist Models of Learning, Development and Evolution, R.M. French and J.P. Sougńe, eds, Springer, Berlin, 2001, pp. 13-22.
    • (2001) Connectionist Models of Learning, Development and Evolution , pp. 13-22
    • French, R.M.1    Ans, B.2    Rousset, S.3
  • 23
    • 0036631709 scopus 로고    scopus 로고
    • Using noise to compute error surfaces in connectionist networks: A novel means of reducing catastrophic forgetting
    • R.M. French and N. Chater, Using noise to compute error surfaces in connectionist networks: a novel means of reducing catastrophic forgetting, Neural Computation 14 (2002), 1755-1769.
    • (2002) Neural Computation , vol.14 , pp. 1755-1769
    • French, R.M.1    Chater, N.2
  • 24
    • 0002548097 scopus 로고    scopus 로고
    • Could category-specific semantic deficits reflect differences in the distribution of features within a unified semantic memory?
    • Lawrence Earlbaum, New Jersey
    • R.M. French and D. Mareschal, Could category-specific semantic deficits reflect differences in the distribution of features within a unified semantic memory? Proceedings of the 20th Annual Conference of the Cognitive Science Society, Lawrence Earlbaum, New Jersey, 1998, pp. 374-379.
    • (1998) Proceedings of the 20th Annual Conference of the Cognitive Science Society , pp. 374-379
    • French, R.M.1    Mareschal, D.2
  • 25
    • 0001144255 scopus 로고
    • Maximum storage capacity in neural networks
    • E. Gardner, Maximum storage capacity in neural networks, Europhysics Letters 4 (1987), 257-270.
    • (1987) Europhysics Letters , vol.4 , pp. 257-270
    • Gardner, E.1
  • 26
    • 0001201809 scopus 로고
    • Training with noise and the storage of correlated patterns in a neural network model
    • E. Gardner, N. Stroud and D. Wallace, Training with noise and the storage of correlated patterns in a neural network model, Journal of Physics A: Mathematics and General 22 (1989), 2019-2030.
    • (1989) Journal of Physics A: Mathematics and General , vol.22 , pp. 2019-2030
    • Gardner, E.1    Stroud, N.2    Wallace, D.3
  • 27
    • 5244352553 scopus 로고
    • Competitive learning: From interactive activation to adaptive resonance
    • S. Grossberg, Competitive learning: From interactive activation to adaptive resonance, Cognitive Science 11 (1987), 23-63.
    • (1987) Cognitive Science , vol.11 , pp. 23-63
    • Grossberg, S.1
  • 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 (1982), 2554-2558.
    • (1982) Proceedings of the National Academy of Sciences, USA , vol.79 , pp. 2554-2558
    • Hopfield, J.J.1
  • 33
    • 0020580001 scopus 로고
    • Unlearning has a stabilising effect in collective memories
    • J.J. Hopfield, D.I. Feinstein and R.G. Palmer, Unlearning has a stabilising effect in collective memories, Nature 304 (1983), 158-159.
    • (1983) Nature , vol.304 , pp. 158-159
    • Hopfield, J.J.1    Feinstein, D.I.2    Palmer, R.G.3
  • 35
    • 0026477904 scopus 로고
    • ALCOVE: An Exemplar-based Connectionist Model of Category Learning
    • J.K. Kruschke, ALCOVE: An Exemplar-based Connectionist Model of Category Learning, Psychological Review 99 (1992), 22-44.
    • (1992) Psychological Review , vol.99 , pp. 22-44
    • Kruschke, J.K.1
  • 36
    • 0002003148 scopus 로고
    • Gradual unlearning and catastrophic interference: A comparison of distributed architectures
    • Lawrence Earlbaum, W.E. Hockley and S. Lewandowsky, eds, Hillsdale NJ
    • S. Lewandowsky, Gradual unlearning and catastrophic interference: A comparison of distributed architectures, in: Relating Theory and Data: Essays on Human Memory in Honour of Bennet B. Murdok, Lawrence Earlbaum, W.E. Hockley and S. Lewandowsky, eds, Hillsdale NJ, 1991, pp. 445-476.
    • (1991) Relating Theory and Data: Essays on Human Memory in Honour of Bennet B. Murdok , pp. 445-476
    • Lewandowsky, S.1
  • 37
    • 0002557189 scopus 로고
    • Catastrophic interference in neural networks: Causes, solutions, and data
    • F.N. Dempster and C. Brainerd, eds Academic Press, San Diego
    • S. Lewandowsky and S. Li, Catastrophic interference in neural networks: causes, solutions, and data, in: New Perspectives on Interference and Inhibition in Cognition, F.N. Dempster and C. Brainerd, eds, Academic Press, San Diego, 1995, pp. 329-361.
    • (1995) New Perspectives on Interference and Inhibition in Cognition , pp. 329-361
    • Lewandowsky, S.1    Li, S.2
  • 39
    • 0029340352 scopus 로고
    • Why there are complementary learning systems in the hippocampus and neocortex: Insights from the successes and failures of connectionist models of learning and memory
    • J.L. McClelland, B.L. McNaughton and R.C. O'Reilly, Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory, Psychological Review 102(3) (1995), 419-457.
    • (1995) Psychological Review , vol.102 , Issue.3 , pp. 419-457
    • McClelland, J.L.1    McNaughton, B.L.2    O'Reilly, R.C.3
  • 40
    • 77957064197 scopus 로고
    • Catastrophic interference in connectionist networks: The sequential learning problem
    • G.H. Bower, ed Academic Press, New York
    • M. McCloskey and N.J. Cohen, Catastrophic interference in connectionist networks: The sequential learning problem, in: The Psychology of Learning and Motivation, (Vol. 23), G.H. Bower, ed., Academic Press, New York, 1989, pp. 109-164.
    • (1989) The Psychology of Learning and Motivation , vol.23 , pp. 109-164
    • McCloskey, M.1    Cohen, N.J.2
  • 42
    • 0038684078 scopus 로고    scopus 로고
    • Control of consolidation in neural networks: Avoiding runaway effects
    • M. Meeter, Control of consolidation in neural networks: Avoiding runaway effects, Submitted to Connection Science, 2003.
    • (2003) Connection Science
    • Meeter, M.1
  • 43
    • 0000672424 scopus 로고
    • Fast learning in networks of locally-tuned processing units
    • J. Moody and C. Darken, Fast Learning in Networks of Locally-Tuned Processing Units, Neural Computation 1 (1989), 281-294.
    • (1989) Neural Computation , vol.1 , pp. 281-294
    • Moody, J.1    Darken, C.2
  • 44
    • 0003408496 scopus 로고
    • University of California Department of Information and Computer Science Irvine CA
    • P.M. Murphy and D.W. Aha, UCI Repository of Machine Learning Databases [http://www.ics.uci.edu/mlearn/MLRepository.html], University of California, Department of Information and Computer Science, Irvine CA, 1994.
    • (1994) UCI Repository of Machine Learning Databases
    • Murphy, P.M.1    Aha, D.W.2
  • 46
    • 0002000846 scopus 로고
    • The effects of pattern presentation on interference in back propagation networks
    • Earlbaum, Hillsdale NJ
    • J. Murre, The effects of pattern presentation on interference in back propagation networks, in Proceedings of the 14th Annual Conference of the Cognitive Science Society, Earlbaum, Hillsdale NJ, 1992, pp. 54-59.
    • (1992) Proceedings of the 14th Annual Conference of the Cognitive Science Society , pp. 54-59
    • Murre, J.1
  • 48
    • 0025407225 scopus 로고
    • Connectionist models of recognition memory: Constraints imposed by learning and forgetting functions
    • R. Ratcliff, Connectionist models of recognition memory: Constraints imposed by learning and forgetting functions, Psychological Review 97 (1990), 285-308.
    • (1990) Psychological Review , vol.97 , pp. 285-308
    • Ratcliff, R.1
  • 50
    • 0039669039 scopus 로고
    • Retrieval processes in recognition memory
    • R. Ratcliff and B. Murdock, Retrieval processes in recognition memory, Psychological Review 83 (1976), 190-214.
    • (1976) Psychological Review , vol.83 , pp. 190-214
    • Ratcliff, R.1    Murdock, B.2
  • 51
    • 38149038993 scopus 로고
    • Catastrophic forgetting rehearsal, and pseudorehearsal
    • A. Robins, Catastrophic forgetting, rehearsal, and pseudorehearsal, Connection Science 7 (1995), 123-146.
    • (1995) Connection Science , vol.7 , pp. 123-146
    • Robins, A.1
  • 52
    • 0030488029 scopus 로고    scopus 로고
    • Consolidation in neural networks and in the sleeping brain
    • A. Robins, Consolidation in neural networks and in the sleeping brain, Connection Science 8 (1996), 259-275.
    • (1996) Connection Science , vol.8 , pp. 259-275
    • Robins, A.1
  • 56
    • 0003332830 scopus 로고    scopus 로고
    • Local learning algorithms for sequential tasks in neural networks
    • A. Robins and M. Frean, Local learning algorithms for sequential tasks in neural networks, Advanced Computational Intelligence 2 (1998), 221-227.
    • (1998) Advanced Computational Intelligence , vol.2 , pp. 221-227
    • Robins, A.1    Frean, M.2
  • 58
    • 0032389920 scopus 로고    scopus 로고
    • Catastrophic forgetting and the pseudorehearsal solution in Hopfield type networks
    • A. Robins and S. McCallum, Catastrophic forgetting and the pseudorehearsal solution in Hopfield type networks, Connection Science 10 (1998), 121-135.
    • (1998) Connection Science , vol.10 , pp. 121-135
    • Robins, A.1    McCallum, S.2
  • 59
    • 0033213822 scopus 로고    scopus 로고
    • The consolidation of learning during sleep: Comparing the pseudorehearsal and unlearning accounts
    • A. Robins and S. McCallum, The consolidation of learning during sleep: Comparing the pseudorehearsal and unlearning accounts, Neural Networks 12 (1999), 1191-1206.
    • (1999) Neural Networks , vol.12 , pp. 1191-1206
    • Robins, A.1    McCallum, S.2
  • 60
    • 84883688006 scopus 로고    scopus 로고
    • A robust method for distinguishing between learned and spurious attractors
    • A. Robins and S. McCallum, A robust method for distinguishing between learned and spurious attractors, Submitted to Neural Networks (2003).
    • (2003) Neural Networks
    • Robins, A.1    McCallum, S.2
  • 62
    • 84875558311 scopus 로고
    • Interference and discrimination in neural net memory
    • J. Levy D. Bairaktaris, J. Bullinaria and P. Cairns, eds UCL Press, London
    • N.E. Sharkey and A.J.C. Sharkey, Interference and Discrimination in Neural Net Memory, in: Connectionist Models of Memory and Language, J. Levy, D. Bairaktaris, J. Bullinaria and P. Cairns, eds, UCL Press, London, 1994.
    • (1994) Connectionist Models of Memory and Language
    • Sharkey, N.E.1    Sharkey, A.J.C.2
  • 63
    • 84945763945 scopus 로고
    • An analysis of catastrophic interference
    • N. Sharkey and A. Sharkey, An analysis of catastrophic interference, Connection Science 7 (1995), 301-329.
    • (1995) Connection Science , vol.7 , pp. 301-329
    • Sharkey, N.1    Sharkey, A.2
  • 67
    • 4243843160 scopus 로고    scopus 로고
    • Hebbian learning its correlation catastrophe, and unlearning
    • J. van Hemmen, Hebbian learning, its correlation catastrophe, and unlearning, Network 8 (1997), V1-V17.
    • (1997) Network , vol.8
    • Van Hemmen, J.1


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