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Volumn 21, Issue 1, 2008, Pages 65-77

A biologically motivated visual memory architecture for online learning of objects

Author keywords

Hierarchical feature extraction; Incremental and life long learning; Learning vector quantization; Stability plasticity dilemma

Indexed keywords

FEATURE EXTRACTION; LEARNING ALGORITHMS; LEARNING SYSTEMS; MATHEMATICAL MODELS; ONLINE SYSTEMS; VECTOR QUANTIZATION;

EID: 39649088014     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neunet.2007.10.005     Document Type: Article
Times cited : (29)

References (44)
  • 1
    • 10944245418 scopus 로고    scopus 로고
    • Arsenio, A. M. (2004). Developmental learning on a humanoid robot. In: Proc. international joint conference on neuronal networks (pp. 3167-3172)
    • Arsenio, A. M. (2004). Developmental learning on a humanoid robot. In: Proc. international joint conference on neuronal networks (pp. 3167-3172)
  • 2
    • 35048837648 scopus 로고    scopus 로고
    • Bekel, H., Bax, I., Heidemann, G., & Ritter, H. (2004). Adaptive computer vision: Online learning for object recognition. In: Proc. DAGM-symposium (pp. 447-453)
    • Bekel, H., Bax, I., Heidemann, G., & Ritter, H. (2004). Adaptive computer vision: Online learning for object recognition. In: Proc. DAGM-symposium (pp. 447-453)
  • 3
    • 0023322501 scopus 로고
    • Recognition by components - a theory of human image understanding
    • Biederman I. Recognition by components - a theory of human image understanding. Psychological Review 94 (1987) 115-147
    • (1987) Psychological Review , vol.94 , pp. 115-147
    • Biederman, I.1
  • 4
    • 5144223971 scopus 로고    scopus 로고
    • Broadbent, N. J., Squire, L. R., & Clark, R. E. (2004). Spatial memory, recognition memory, and the hippocampus. In: Proceedings of the National Academy of Sciences, USA, 101 (pp. 14515-14520)
    • Broadbent, N. J., Squire, L. R., & Clark, R. E. (2004). Spatial memory, recognition memory, and the hippocampus. In: Proceedings of the National Academy of Sciences, USA, 101 (pp. 14515-14520)
  • 5
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • Burges C. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery 2 2 (1998) 121-167
    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.2 , pp. 121-167
    • Burges, C.1
  • 6
    • 0029967713 scopus 로고    scopus 로고
    • The hippocampo-neocortical dialogue
    • Buzsáki G. The hippocampo-neocortical dialogue. Cerebral Cortex 6 2 (1996) 81-92
    • (1996) Cerebral Cortex , vol.6 , Issue.2 , pp. 81-92
    • Buzsáki, G.1
  • 7
    • 39649120178 scopus 로고    scopus 로고
    • Carpenter, G. A., & Grossberg, S. (1998). Adaptive resonance theory (ART), In: The handbook of brain theory and neural networks (pp. 79-82)
    • Carpenter, G. A., & Grossberg, S. (1998). Adaptive resonance theory (ART), In: The handbook of brain theory and neural networks (pp. 79-82)
  • 8
    • 39649096164 scopus 로고    scopus 로고
    • Carpenter, G. A., Grossberg, S., & Iizuka, K. (1992). Comparative performance measures of Fuzzy ARTMAP, learned vector quantisation, and back propagation for handwritten character recognition. In: Proc. IJCNN (pp. 794-799)
    • Carpenter, G. A., Grossberg, S., & Iizuka, K. (1992). Comparative performance measures of Fuzzy ARTMAP, learned vector quantisation, and back propagation for handwritten character recognition. In: Proc. IJCNN (pp. 794-799)
  • 9
    • 39649104416 scopus 로고    scopus 로고
    • Carpenter, G. A., Grossberg, S., Markuzon, N., Reynolds, J. H., & Rosen, D. B. (1992). Fuzzy ARTMAP: An adaptive resonance architecture for incremental learning of analog maps. In: Proc. IJCNN (pp. 309-314)
    • Carpenter, G. A., Grossberg, S., Markuzon, N., Reynolds, J. H., & Rosen, D. B. (1992). Fuzzy ARTMAP: An adaptive resonance architecture for incremental learning of analog maps. In: Proc. IJCNN (pp. 309-314)
  • 10
    • 0026408256 scopus 로고
    • Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system
    • Carpenter G.A., Grossberg S., and Rosen D.B. Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system. Neural Networks 4 6 (1991) 759-771
    • (1991) Neural Networks , vol.4 , Issue.6 , pp. 759-771
    • Carpenter, G.A.1    Grossberg, S.2    Rosen, D.B.3
  • 11
    • 0001948145 scopus 로고
    • Fast learning with incremental radial basis function networks
    • Fritzke B. Fast learning with incremental radial basis function networks. Neural Processing Letters 1 1 (1994) 2-5
    • (1994) Neural Processing Letters , vol.1 , Issue.1 , pp. 2-5
    • Fritzke, B.1
  • 12
    • 0028748949 scopus 로고
    • Growing cell structures - a self-organizing network for unsupervised and supervised learning
    • Fritzke B. Growing cell structures - a self-organizing network for unsupervised and supervised learning. Neural Networks 7 9 (1994) 1441-1460
    • (1994) Neural Networks , vol.7 , Issue.9 , pp. 1441-1460
    • Fritzke, B.1
  • 13
    • 85135470835 scopus 로고
    • A growing neural gas network learns topologies
    • Tesauro G., Touretzky D.S., and Leen T.K. (Eds), MIT Press, Cambridge MA
    • Fritzke B. A growing neural gas network learns topologies. In: Tesauro G., Touretzky D.S., and Leen T.K. (Eds). Advances in neural information processing systems 7 (1995), MIT Press, Cambridge MA 625-632
    • (1995) Advances in neural information processing systems , vol.7 , pp. 625-632
    • Fritzke, B.1
  • 14
    • 0019152630 scopus 로고
    • Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
    • Fukushima K. Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position. Biological Cybernetics 36 4 (1980) 193-202
    • (1980) Biological Cybernetics , vol.36 , Issue.4 , pp. 193-202
    • Fukushima, K.1
  • 15
    • 30644459258 scopus 로고    scopus 로고
    • An incremental network for on-line unsupervised classification and topology learning
    • Furao S., and Hasegawa O. An incremental network for on-line unsupervised classification and topology learning. Neural Networks 1 19 (2006) 90-106
    • (2006) Neural Networks , vol.1 , Issue.19 , pp. 90-106
    • Furao, S.1    Hasegawa, O.2
  • 17
    • 0035008798 scopus 로고    scopus 로고
    • Life-long learning cell structures - continuously learning without catastrophic interference
    • Hamker F.H. Life-long learning cell structures - continuously learning without catastrophic interference. Neural Networks 14 (2001) 551-573
    • (2001) Neural Networks , vol.14 , pp. 551-573
    • Hamker, F.H.1
  • 18
    • 0034878583 scopus 로고    scopus 로고
    • Heinze, A., Gross, H.-M., & Surmeli, D. (2001). Integration of a Fuzzy ART approach in a biologically inspired sensorymotor architecture. In: Joint conference on neural networks (pp. 1261-1266)
    • Heinze, A., Gross, H.-M., & Surmeli, D. (2001). Integration of a Fuzzy ART approach in a biologically inspired sensorymotor architecture. In: Joint conference on neural networks (pp. 1261-1266)
  • 20
    • 39649099235 scopus 로고    scopus 로고
    • Jebara, T., & Pentland, A. (1999). Action reaction learning: Automatic visual analysis and synthesis of interactive behaviour. In: Int. conf. computer vision systems
    • Jebara, T., & Pentland, A. (1999). Action reaction learning: Automatic visual analysis and synthesis of interactive behaviour. In: Int. conf. computer vision systems
  • 21
    • 39649100745 scopus 로고    scopus 로고
    • Kalinke, T., & von Seelen, W. (1996). Entropie als Mass des lokalen Informationsgehalts in Bildern zur Realisierung einer Aufmerksamkeits-steuerung. In: Proc. DAGM-symposium (pp. 627-634)
    • Kalinke, T., & von Seelen, W. (1996). Entropie als Mass des lokalen Informationsgehalts in Bildern zur Realisierung einer Aufmerksamkeits-steuerung. In: Proc. DAGM-symposium (pp. 627-634)
  • 24
    • 34250091945 scopus 로고
    • Learning when irrelevant attributes abound: A new linear-threshold algorithm
    • Littlestone N. Learning when irrelevant attributes abound: A new linear-threshold algorithm. Machine Learning 2 (1988) 285-318
    • (1988) Machine Learning , vol.2 , pp. 285-318
    • Littlestone, N.1
  • 25
    • 0035798234 scopus 로고    scopus 로고
    • The role of sleep in learning and memory
    • Maquet P. The role of sleep in learning and memory. Science 294 (2001) 1048-1052
    • (2001) Science , vol.294 , pp. 1048-1052
    • Maquet, P.1
  • 26
    • 0034081511 scopus 로고    scopus 로고
    • Neural representation of visual objects: Encoding and top-down activation
    • Miyashita Y., and Hayashi T. Neural representation of visual objects: Encoding and top-down activation. Current Opinion in Neurobiology 10 2 (2000) 187-194
    • (2000) Current Opinion in Neurobiology , vol.10 , Issue.2 , pp. 187-194
    • Miyashita, Y.1    Hayashi, T.2
  • 27
    • 39649094829 scopus 로고    scopus 로고
    • Nayar, S. K., Nene, S. A., & Murase, H. (1996). Real-time 100 object recognition system. In: Proc. of ARPA image understanding workshop
    • Nayar, S. K., Nene, S. A., & Murase, H. (1996). Real-time 100 object recognition system. In: Proc. of ARPA image understanding workshop
  • 28
    • 0036897279 scopus 로고    scopus 로고
    • Hippocampal and neocortical contributions to memory: advances in the complementary learning systems framework
    • O'Reilly R.C., and Norman K.A. Hippocampal and neocortical contributions to memory: advances in the complementary learning systems framework. Trends in Cognitive Sciences 6 12 (2002) 505-510
    • (2002) Trends in Cognitive Sciences , vol.6 , Issue.12 , pp. 505-510
    • O'Reilly, R.C.1    Norman, K.A.2
  • 30
    • 0033316361 scopus 로고    scopus 로고
    • Hierarchical models of object recognition in cortex
    • Riesenhuber M., and Poggio T. Hierarchical models of object recognition in cortex. Nature Neuroscience 2 11 (1999) 1019-1025
    • (1999) Nature Neuroscience , vol.2 , Issue.11 , pp. 1019-1025
    • Riesenhuber, M.1    Poggio, T.2
  • 32
    • 0034320535 scopus 로고    scopus 로고
    • A model of invariant object recognition in the visual system: Learning rules, activation functions, lateral inhibition and information-based performance measures
    • Rolls E.T., and Milward T. A model of invariant object recognition in the visual system: Learning rules, activation functions, lateral inhibition and information-based performance measures. Neural Computation 12 11 (2000) 2547-2572
    • (2000) Neural Computation , vol.12 , Issue.11 , pp. 2547-2572
    • Rolls, E.T.1    Milward, T.2
  • 33
    • 0036585019 scopus 로고    scopus 로고
    • Learning to recognize 3d objects
    • Roth D., Yang M.-H., and Ahuja N. Learning to recognize 3d objects. Neural Computation 14 5 (2002) 1071-1104
    • (2002) Neural Computation , vol.14 , Issue.5 , pp. 1071-1104
    • Roth, D.1    Yang, M.-H.2    Ahuja, N.3
  • 34
    • 0036152936 scopus 로고    scopus 로고
    • Learning words from sights and sounds: a computational model
    • Roy D., and Pentland A. Learning words from sights and sounds: a computational model. Cognitive Science 26 1 (2002) 113-146
    • (2002) Cognitive Science , vol.26 , Issue.1 , pp. 113-146
    • Roy, D.1    Pentland, A.2
  • 35
    • 0033872313 scopus 로고    scopus 로고
    • Recognition without correspondence using multidimensional receptive field histograms
    • Schiele B., and Crowley J.L. Recognition without correspondence using multidimensional receptive field histograms. International Journal of Computer Vision 36 1 (2000) 31-50
    • (2000) International Journal of Computer Vision , vol.36 , Issue.1 , pp. 31-50
    • Schiele, B.1    Crowley, J.L.2
  • 37
    • 0025994795 scopus 로고
    • The medial temporal lobe memory system
    • Squire L.R., and Zola-Morgan S. The medial temporal lobe memory system. Science 253 (1991) 1380-1386
    • (1991) Science , vol.253 , pp. 1380-1386
    • Squire, L.R.1    Zola-Morgan, S.2
  • 38
    • 35048898173 scopus 로고    scopus 로고
    • AIBO's first words: The social learning of language and meaning
    • Steels L., and Kaplan F. AIBO's first words: The social learning of language and meaning. Evolution of Communication 4 1 (2001) 3-32
    • (2001) Evolution of Communication , vol.4 , Issue.1 , pp. 3-32
    • Steels, L.1    Kaplan, F.2
  • 39
    • 85015770939 scopus 로고    scopus 로고
    • Steil, J. J., & Wersing, H. (2006). Recent trends in online learning for cognitive robotics. In: Proc. Eur. symp. artif. neur. netw. (pp. 77-87)
    • Steil, J. J., & Wersing, H. (2006). Recent trends in online learning for cognitive robotics. In: Proc. Eur. symp. artif. neur. netw. (pp. 77-87)
  • 40
    • 0032112199 scopus 로고    scopus 로고
    • Image-based object recognition in man, monkey, and machine
    • Images-based Recognition in Man, Monkey, and Machine [Special issue]
    • Tarr M.J., and Bülthoff H.H. Image-based object recognition in man, monkey, and machine. Images-based Recognition in Man, Monkey, and Machine [Special issue]. Cognition 67 (1998) 1-20
    • (1998) Cognition , vol.67 , pp. 1-20
    • Tarr, M.J.1    Bülthoff, H.H.2
  • 41
    • 27144556425 scopus 로고    scopus 로고
    • Incremental online learning in high dimensions
    • Vijayakumar S., D'Souza A., and Schaal S. Incremental online learning in high dimensions. Neural Computation 17 12 (2005) 2602-2634
    • (2005) Neural Computation , vol.17 , Issue.12 , pp. 2602-2634
    • Vijayakumar, S.1    D'Souza, A.2    Schaal, S.3
  • 42
    • 33749853725 scopus 로고    scopus 로고
    • Wersing, H., Kirstein, S., Götting, M., Brandl, H., Dunn, M., & Mikhailova, I. (2006). A biologically motivated system for unconstrained online learning of visual objects. In: Proc. international conference on artificial neural networks, Vol. 2 (pp. 508-517)
    • Wersing, H., Kirstein, S., Götting, M., Brandl, H., Dunn, M., & Mikhailova, I. (2006). A biologically motivated system for unconstrained online learning of visual objects. In: Proc. international conference on artificial neural networks, Vol. 2 (pp. 508-517)
  • 43
    • 0038159929 scopus 로고    scopus 로고
    • Learning optimized features for hierarchical models of invariant object recognition
    • Wersing H., and Körner E. Learning optimized features for hierarchical models of invariant object recognition. Neural Computation 15 7 (2003) 1559-1588
    • (2003) Neural Computation , vol.15 , Issue.7 , pp. 1559-1588
    • Wersing, H.1    Körner, E.2
  • 44
    • 0037567220 scopus 로고    scopus 로고
    • Single neurons in the monkey hippocampus and learning of new associations
    • Wirth S., Yanike M., Frank L.M., Smith A.C., Brown E.N., and Suzuki W.A. Single neurons in the monkey hippocampus and learning of new associations. Science 300 (2003) 1578-1581
    • (2003) Science , vol.300 , pp. 1578-1581
    • Wirth, S.1    Yanike, M.2    Frank, L.M.3    Smith, A.C.4    Brown, E.N.5    Suzuki, W.A.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.