메뉴 건너뛰기




Volumn 113, Issue , 2019, Pages 54-71

Continual lifelong learning with neural networks: A review

Author keywords

Catastrophic forgetting; Continual learning; Developmental systems; Lifelong learning; Memory consolidation

Indexed keywords

AUTONOMOUS AGENTS;

EID: 85061575306     PISSN: 08936080     EISSN: 18792782     Source Type: Journal    
DOI: 10.1016/j.neunet.2019.01.012     Document Type: Review
Times cited : (2867)

References (196)
  • 1
    • 0033667165 scopus 로고    scopus 로고
    • Synaptic plasticity: taming the beast
    • Abbott, L.F., Nelson, S.B., Synaptic plasticity: taming the beast. Nature Neuroscience 3 (2000), 1178–1183.
    • (2000) Nature Neuroscience , vol.3 , pp. 1178-1183
    • Abbott, L.F.1    Nelson, S.B.2
  • 2
    • 13144294059 scopus 로고    scopus 로고
    • Memory retention and weight plasticity in ANN simulations
    • Abraham, W.C., Robins, A., Memory retention and weight plasticity in ANN simulations. Trends in Neurosciences 28:2 (2005), 73–78.
    • (2005) Trends in Neurosciences , vol.28 , Issue.2 , pp. 73-78
    • Abraham, W.C.1    Robins, A.2
  • 3
    • 85061602379 scopus 로고    scopus 로고
    • Critical Learning Periods in Deep Neural Networks
    • Achille, A., Rovere, M., & Soatto, S. (2017). Critical Learning Periods in Deep Neural Networks,.
    • (2017)
    • Achille, A.1    Rovere, M.2    Soatto, S.3
  • 5
    • 33745698913 scopus 로고    scopus 로고
    • Potential role for adult neurogenesis in the encoding of time in new memories.
    • Aimone, J.B., Wiles, J., Gage, F.H., Potential role for adult neurogenesis in the encoding of time in new memories. Nature Neuroscience 9 (2006), 723–727.
    • (2006) Nature Neuroscience , vol.9 , pp. 723-727
    • Aimone, J.B.1    Wiles, J.2    Gage, F.H.3
  • 6
    • 58549096746 scopus 로고    scopus 로고
    • Computational influence of adult neurogenesis on memory encoding.
    • Aimone, J.B., Wiles, J., Gage, F.H., Computational influence of adult neurogenesis on memory encoding. Neuron 61 (2009), 187–202.
    • (2009) Neuron , vol.61 , pp. 187-202
    • Aimone, J.B.1    Wiles, J.2    Gage, F.H.3
  • 7
    • 0000162555 scopus 로고
    • Autoradiographic investigation of cell proliferation in the brains of rats and cats
    • Altman, J., Autoradiographic investigation of cell proliferation in the brains of rats and cats. The Anatomical Record 145:4 (1963), 573–591.
    • (1963) The Anatomical Record , vol.145 , Issue.4 , pp. 573-591
    • Altman, J.1
  • 8
    • 84883984939 scopus 로고    scopus 로고
    • Feedback systems: An introduction for scientists and engineers
    • Princeton University Press
    • Aström, K.J., Murray, R.M., Feedback systems: An introduction for scientists and engineers. 2010, Princeton University Press.
    • (2010)
    • Aström, K.J.1    Murray, R.M.2
  • 9
    • 84967334530 scopus 로고    scopus 로고
    • Intrinsically motivated learning in natural and artificial systems
    • Springer-Verlag, Berlin
    • Baldassarre, G., Mirolli, M., Intrinsically motivated learning in natural and artificial systems. 2013, Springer-Verlag, Berlin.
    • (2013)
    • Baldassarre, G.1    Mirolli, M.2
  • 10
    • 84870239334 scopus 로고    scopus 로고
    • Active learning of inverse models with intrinsically motivated goal exploration in robots
    • Baranes, A., Oudeyer, P.Y., Active learning of inverse models with intrinsically motivated goal exploration in robots. Robotics and Autonomous Systems 61:1 (2013), 49–73.
    • (2013) Robotics and Autonomous Systems , vol.61 , Issue.1 , pp. 49-73
    • Baranes, A.1    Oudeyer, P.Y.2
  • 11
    • 85047672328 scopus 로고    scopus 로고
    • When and where do we apply what we learn? a taxonomy for far transfer
    • Barnett, S., Ceci, S., When and where do we apply what we learn? a taxonomy for far transfer. Psychological Bulletin 128 (2002), 612–637.
    • (2002) Psychological Bulletin , vol.128 , pp. 612-637
    • Barnett, S.1    Ceci, S.2
  • 13
  • 16
    • 84989912892 scopus 로고    scopus 로고
    • Computational principles of synaptic memory consolidation
    • Benna, M.K., Fusi, S., Computational principles of synaptic memory consolidation. Nature Neuroscience 19:12 (2016), 1697–1708.
    • (2016) Nature Neuroscience , vol.19 , Issue.12 , pp. 1697-1708
    • Benna, M.K.1    Fusi, S.2
  • 17
    • 0020074887 scopus 로고
    • Theory for the development of neuron selectivity: orientation specificity and binocular interaction in visual cortex
    • Bienenstock, E., Cooper, L., Munro, P., Theory for the development of neuron selectivity: orientation specificity and binocular interaction in visual cortex. The Journal of Neuroscience 2 (1982), 32–48.
    • (1982) The Journal of Neuroscience , vol.2 , pp. 32-48
    • Bienenstock, E.1    Cooper, L.2    Munro, P.3
  • 19
    • 0033549824 scopus 로고    scopus 로고
    • Time-dependent reorganization of brain circuitry underlying long-term memory storage
    • Bontempi, B., Laurent-Demir, C., Destrade, C., Jaffard, R., Time-dependent reorganization of brain circuitry underlying long-term memory storage. Nature 400 (1999), 671–675.
    • (1999) Nature , vol.400 , pp. 671-675
    • Bontempi, B.1    Laurent-Demir, C.2    Destrade, C.3    Jaffard, R.4
  • 20
    • 0035167885 scopus 로고    scopus 로고
    • Dynamic organization of the somato-sensory cortex induced by motor activity
    • Braun, C., Heinz, U., Schweizer, R., Weich, K., Birbaumer, N., Topka, H., Dynamic organization of the somato-sensory cortex induced by motor activity. Brain 124 (2001), 2259–2267.
    • (2001) Brain , vol.124 , pp. 2259-2267
    • Braun, C.1    Heinz, U.2    Schweizer, R.3    Weich, K.4    Birbaumer, N.5    Topka, H.6
  • 21
    • 84870898119 scopus 로고    scopus 로고
    • Multisensory development
    • Oxford University Press, Oxford, UK
    • Bremner, A., Lewkowicz, D., Spence, C., Multisensory development. 2012, Oxford University Press, Oxford, UK.
    • (2012)
    • Bremner, A.1    Lewkowicz, D.2    Spence, C.3
  • 22
    • 0039066538 scopus 로고
    • Neural network models of list learning
    • Burgess, N., Shapiro, J.L., Moore, M.A., Neural network models of list learning. Networks 2 (1991), 399–422.
    • (1991) Networks , vol.2 , pp. 399-422
    • Burgess, N.1    Shapiro, J.L.2    Moore, M.A.3
  • 23
    • 0141463531 scopus 로고    scopus 로고
    • The handbook of multisensory processes
    • Cambridge, MA: The MIT Press
    • Calvert, G., Spence, C., Stein, B., The handbook of multisensory processes. 2004, Cambridge, MA: The MIT Press.
    • (2004)
    • Calvert, G.1    Spence, C.2    Stein, B.3
  • 24
    • 0027302887 scopus 로고
    • Differentiation of newly born neurons and glia in the dentate gyrus of the adult rat
    • Cameron, H.A., Woolley, C.S., McEwen, B.S., Gould, E., Differentiation of newly born neurons and glia in the dentate gyrus of the adult rat. Neuroscience 56:2 (1993), 337–344.
    • (1993) Neuroscience , vol.56 , Issue.2 , pp. 337-344
    • Cameron, H.A.1    Woolley, C.S.2    McEwen, B.S.3    Gould, E.4
  • 25
    • 84874749924 scopus 로고    scopus 로고
    • Developmental robotics: From babies to robots
    • MIT Press
    • Cangelosi, A., Schlesinger, M., Developmental robotics: From babies to robots. 2015, MIT Press.
    • (2015)
    • Cangelosi, A.1    Schlesinger, M.2
  • 26
    • 85016571429 scopus 로고    scopus 로고
    • Assessing the role of the unity assumption on multisensory integration: a review
    • Chen, Y.C., Spence, C., Assessing the role of the unity assumption on multisensory integration: a review. Frontiers in Psychology, 8(445), 2017.
    • (2017) Frontiers in Psychology , vol.8 , Issue.445
    • Chen, Y.C.1    Spence, C.2
  • 27
    • 84927551061 scopus 로고    scopus 로고
    • Branch-specific dendritic Ca(2+) spikes cause persistent synaptic plasticity
    • Cichon, J., Gan, W., Branch-specific dendritic Ca(2+) spikes cause persistent synaptic plasticity. Nature 520 (2015), 180–185.
    • (2015) Nature , vol.520 , pp. 180-185
    • Cichon, J.1    Gan, W.2
  • 28
    • 84885190141 scopus 로고    scopus 로고
    • Ensemble learning in fixed expansion layer networks for mitigating catastrophic forgetting
    • Coop, R., Mishtal, A., Arel, I., Ensemble learning in fixed expansion layer networks for mitigating catastrophic forgetting. IEEE Transactions on Neural Networks & Learning Systems 24:10 (2013), 1623–1634.
    • (2013) IEEE Transactions on Neural Networks & Learning Systems , vol.24 , Issue.10 , pp. 1623-1634
    • Coop, R.1    Mishtal, A.2    Arel, I.3
  • 29
    • 85061570286 scopus 로고    scopus 로고
    • AdaNet: Adaptive structural learning of artificial neural networks
    • Cortes, C., Gonzalvo, X., Kuznetsov, V., Mohri, M., & Yang, S. (2016). AdaNet: Adaptive structural learning of artificial neural networks,.
    • (2016)
    • Cortes, C.1    Gonzalvo, X.2    Kuznetsov, V.3    Mohri, M.4    Yang, S.5
  • 30
    • 34547972773 scopus 로고    scopus 로고
    • Boosting for transfer learning
    • Dai, W., Yang, Q., Xue, G.R., Yu, Y., Boosting for transfer learning. ICML'17, 2007, 193–200.
    • (2007) ICML'17 , pp. 193-200
    • Dai, W.1    Yang, Q.2    Xue, G.R.3    Yu, Y.4
  • 31
    • 33745734146 scopus 로고    scopus 로고
    • Homeostatic control of neural activity: from phenomenology to molecular design
    • Davis, G.W., Homeostatic control of neural activity: from phenomenology to molecular design. Annual Review of Neuroscience 29 (2006), 307–323.
    • (2006) Annual Review of Neuroscience , vol.29 , pp. 307-323
    • Davis, G.W.1
  • 32
    • 77951498581 scopus 로고    scopus 로고
    • New neurons and new memories: how does adult hippocampal neurogenesis affect learning and memory?
    • Deng, W., Aimone, J.B., Gage, F.H., New neurons and new memories: how does adult hippocampal neurogenesis affect learning and memory?. Nature Reviews Neuroscience 11:5 (2010), 339–350.
    • (2010) Nature Reviews Neuroscience , vol.11 , Issue.5 , pp. 339-350
    • Deng, W.1    Aimone, J.B.2    Gage, F.H.3
  • 34
    • 84919881041 scopus 로고    scopus 로고
    • Decaf: A deep convolutional activation feature for generic visual recognition
    • Donahue, J., Jia, Y., Vinyals, O., Hoffman, J., Zhang, N., Tzeng, E., et al. Decaf: A deep convolutional activation feature for generic visual recognition. ICML'14, 2014.
    • (2014) ICML'14
    • Donahue, J.1    Jia, Y.2    Vinyals, O.3    Hoffman, J.4    Zhang, N.5    Tzeng, E.6
  • 36
    • 39049091453 scopus 로고    scopus 로고
    • A theory of the discovery and predication of relational concepts
    • Doumas, L., Hummel, J., Sandhofer, C., A theory of the discovery and predication of relational concepts. Psychological Review 115 (2008), 1–43.
    • (2008) Psychological Review , vol.115 , pp. 1-43
    • Doumas, L.1    Hummel, J.2    Sandhofer, C.3
  • 39
    • 0027636611 scopus 로고
    • Learning and development in neural networks: The importance of starting small
    • Elman, J.L., Learning and development in neural networks: The importance of starting small. Cognition 48:1 (1993), 71–99.
    • (1993) Cognition , vol.48 , Issue.1 , pp. 71-99
    • Elman, J.L.1
  • 41
    • 1842576869 scopus 로고    scopus 로고
    • Merging the senses into a robust percept
    • Ernst, M.O., Bülthoff, H., Merging the senses into a robust percept. Trends in Cognitive Sciences 8:4 (2004), 162–169.
    • (2004) Trends in Cognitive Sciences , vol.8 , Issue.4 , pp. 162-169
    • Ernst, M.O.1    Bülthoff, H.2
  • 42
    • 0344983284 scopus 로고    scopus 로고
    • A Bayesian approach to unsupervised one-shot learning of object categories
    • Fei-Fei, L., Fergus, R., Perona, P., A Bayesian approach to unsupervised one-shot learning of object categories. ICCV'03, 2003.
    • (2003) ICCV'03
    • Fei-Fei, L.1    Fergus, R.2    Perona, P.3
  • 43
    • 85061590033 scopus 로고    scopus 로고
    • Pathnet: Evolution channels gradient descent in super neural networks
    • Fernando, C., Banarse, D., Blundell, C., Zwols, Y., Ha, D., & Rusu, A. A., et al. (2017). Pathnet: Evolution channels gradient descent in super neural networks,.
    • (2017)
    • Fernando, C.1    Banarse, D.2    Blundell, C.3    Zwols, Y.4    Ha, D.5    Rusu, A.A.6
  • 44
    • 85061601157 scopus 로고    scopus 로고
    • Motivated Goal Exploration Processes with Automatic Curriculum Learning
    • Forestier, S., Mollard, Y., & Oudeyer, P. Y. (2017). Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning,.
    • (2017)
    • Forestier, S.1    Mollard, Y.2    Oudeyer, P.3    Intrinsically, Y.4
  • 46
    • 0347683832 scopus 로고    scopus 로고
    • Pseudo-recurrent connectionist networks: An approach to the sensitivity-stability dilemma
    • French, R.M., Pseudo-recurrent connectionist networks: An approach to the sensitivity-stability dilemma. Connection Science 9:4 (1997), 353–380.
    • (1997) Connection Science , vol.9 , Issue.4 , pp. 353-380
    • French, R.M.1
  • 47
    • 0032923221 scopus 로고    scopus 로고
    • CaTastrophic forgetting in connectionist networks
    • French, R.M., CaTastrophic forgetting in connectionist networks. Trends in Cognitive Sciences 3:4 (1999), 128–135.
    • (1999) Trends in Cognitive Sciences , vol.3 , Issue.4 , pp. 128-135
    • French, R.M.1
  • 49
    • 85135470835 scopus 로고
    • A growing neural gas network learns topologies
    • Fritzke, B., A growing neural gas network learns topologies. NIPS'95, vol. 7, 1992, 625–632.
    • (1992) NIPS'95, vol. 7 , pp. 625-632
    • Fritzke, B.1
  • 50
    • 13844266723 scopus 로고    scopus 로고
    • CaScade models of synaptically stored memories
    • Fusi, S., Drew, P.J., Abbott, L.F., CaScade models of synaptically stored memories. Neuron 45:4 (2005), 599–611.
    • (2005) Neuron , vol.45 , Issue.4 , pp. 599-611
    • Fusi, S.1    Drew, P.J.2    Abbott, L.F.3
  • 51
    • 0034712047 scopus 로고    scopus 로고
    • Mammalian neural stem cells
    • Gage, F.H., Mammalian neural stem cells. Science 287 (2000), 1433–1438.
    • (2000) Science , vol.287 , pp. 1433-1438
    • Gage, F.H.1
  • 53
    • 52449112701 scopus 로고    scopus 로고
    • Internally generated reactivation of single neurons in human hippocampus during free recall
    • Gelbard-Sagiv, H., Mukamel, R., Harel, M., Malach, R., Fried, I., Internally generated reactivation of single neurons in human hippocampus during free recall. Science 322 (2008), 96–101.
    • (2008) Science , vol.322 , pp. 96-101
    • Gelbard-Sagiv, H.1    Mukamel, R.2    Harel, M.3    Malach, R.4    Fried, I.5
  • 55
    • 84960130481 scopus 로고    scopus 로고
    • A bio-inspired incremental learning architecture for applied perceptual problems
    • Gepperth, A., Karaoguz, C., A bio-inspired incremental learning architecture for applied perceptual problems. Cognitive Computation 8:5 (2015), 924–934.
    • (2015) Cognitive Computation , vol.8 , Issue.5 , pp. 924-934
    • Gepperth, A.1    Karaoguz, C.2
  • 56
    • 85061574808 scopus 로고    scopus 로고
    • An empirical investigation of catastrophic forgetting in gradient-based neural networks
    • Goodfellow, I. J., Mirza, M., Xiao, D., Courville, A., & Bengio, Y. (2013). An empirical investigation of catastrophic forgetting in gradient-based neural networks,.
    • (2013)
    • Goodfellow, I.J.1    Mirza, M.2    Xiao, D.3    Courville, A.4    Bengio, Y.5
  • 57
    • 0003581204 scopus 로고    scopus 로고
    • The scientist in the crib: Minds, brains, and how children learn
    • William Morrow & Co
    • Gopnik, A., Meltzoff, A.N., Kuhl, P.K., The scientist in the crib: Minds, brains, and how children learn. 1999, William Morrow & Co.
    • (1999)
    • Gopnik, A.1    Meltzoff, A.N.2    Kuhl, P.K.3
  • 59
    • 84886642127 scopus 로고    scopus 로고
    • Information seeking, curiosity and attention: Computational and neural mechanisms
    • Gottlieb, J., Oudeyer, P.Y., Lopes, M., Baranes, A., Information seeking, curiosity and attention: Computational and neural mechanisms. Trends in Cognitive Science 17:11 (2013), 585–596.
    • (2013) Trends in Cognitive Science , vol.17 , Issue.11 , pp. 585-596
    • Gottlieb, J.1    Oudeyer, P.Y.2    Lopes, M.3    Baranes, A.4
  • 60
    • 85011807602 scopus 로고    scopus 로고
    • Biologically plausible learning in neural networks with modulatory feedback
    • Grant, W.S., Tanner, J., Itti, L., Biologically plausible learning in neural networks with modulatory feedback. Neural Networks 88 (2017), 32–48.
    • (2017) Neural Networks , vol.88 , pp. 32-48
    • Grant, W.S.1    Tanner, J.2    Itti, L.3
  • 63
    • 0018861680 scopus 로고
    • How does a brain build a cognitive code?
    • Grossberg, S., How does a brain build a cognitive code?. Psychology Review 87 (1980), 1–51.
    • (1980) Psychology Review , vol.87 , pp. 1-51
    • Grossberg, S.1
  • 64
    • 84870424089 scopus 로고    scopus 로고
    • Adaptive resonance theory: how a brain learns to consciously attend, learn, and recognize a changing world.
    • Grossberg, S., Adaptive resonance theory: how a brain learns to consciously attend, learn, and recognize a changing world. Neural Networks 37 (2012), 1–41.
    • (2012) Neural Networks , vol.37 , pp. 1-41
    • Grossberg, S.1
  • 65
    • 84957837518 scopus 로고    scopus 로고
    • Deep learning for visual understanding: A review
    • Guo, Y., Liu, Y., Oerlemans, A., Lao, S., Wu, S., Lew, M., Deep learning for visual understanding: A review. Neurocomputing 187:8 (2016), 27–48.
    • (2016) Neurocomputing , vol.187 , Issue.8 , pp. 27-48
    • Guo, Y.1    Liu, Y.2    Oerlemans, A.3    Lao, S.4    Wu, S.5    Lew, M.6
  • 68
    • 0004230131 scopus 로고
    • The organization of behavior
    • John Wiley & Sons
    • Hebb, D., The organization of behavior. 1949, John Wiley & Sons.
    • (1949)
    • Hebb, D.1
  • 70
  • 71
    • 0032553477 scopus 로고    scopus 로고
    • Local gaba circuit control of experience-dependent plasticity in developing visual cortex
    • Hensch, T.K., Fagiolini, M., Mataga, N., Stryker, M.P., Baekkeskov, S., Kash, S.F., Local gaba circuit control of experience-dependent plasticity in developing visual cortex. Science 282 (1998), 1504–1508.
    • (1998) Science , vol.282 , pp. 1504-1508
    • Hensch, T.K.1    Fagiolini, M.2    Mataga, N.3    Stryker, M.P.4    Baekkeskov, S.5    Kash, S.F.6
  • 72
    • 0003979924 scopus 로고
    • Introduction to the theory of neural computation
    • Redwood City CA: Addison-Wesley
    • Hertz, J., Krogh, A., Palmer, R.G., Introduction to the theory of neural computation. 1991, Redwood City CA: Addison-Wesley.
    • (1991)
    • Hertz, J.1    Krogh, A.2    Palmer, R.G.3
  • 75
    • 0014947629 scopus 로고
    • Visual experience modifies distribution of horizontally and vertically oriented receptive fields in cats
    • Hirsch, H., Spinelli, D., Visual experience modifies distribution of horizontally and vertically oriented receptive fields in cats. Science 168 (1970), 869–871.
    • (1970) Science , vol.168 , pp. 869-871
    • Hirsch, H.1    Spinelli, D.2
  • 77
    • 33645410496 scopus 로고
    • Receptive fields, binocular and functional architecture in the cats visual cortex
    • Hubel, D.H., Wiesel, T.H., Receptive fields, binocular and functional architecture in the cats visual cortex. Journal Physiology 160 (1962), 106–154.
    • (1962) Journal Physiology , vol.160 , pp. 106-154
    • Hubel, D.H.1    Wiesel, T.H.2
  • 78
    • 0014152327 scopus 로고
    • Cortical and callosal connections concerned with the vertical meridian of visual fields in the cat
    • Hubel, D.H., Wiesel, T.H., Cortical and callosal connections concerned with the vertical meridian of visual fields in the cat. Journal of Neurophysiology 30 (1967), 1561–1573.
    • (1967) Journal of Neurophysiology , vol.30 , pp. 1561-1573
    • Hubel, D.H.1    Wiesel, T.H.2
  • 79
    • 0014737492 scopus 로고
    • The period of susceptibility to the psychological effects of unilateral eye closure in kittens
    • Hubel, D.H., Wiesel, T.H., The period of susceptibility to the psychological effects of unilateral eye closure in kittens. Journal Physiology 206 (1970), 419–436.
    • (1970) Journal Physiology , vol.206 , pp. 419-436
    • Hubel, D.H.1    Wiesel, T.H.2
  • 81
    • 85028069885 scopus 로고    scopus 로고
    • Less-forgetting learning in deep neural networks
    • AAAI'18, New Orleans, LA
    • Jung, H., Ju, J., Jung, M., Kim, J., Less-forgetting learning in deep neural networks., 2018, AAAI'18, New Orleans, LA.
    • (2018)
    • Jung, H.1    Ju, J.2    Jung, M.3    Kim, J.4
  • 82
    • 85061613544 scopus 로고    scopus 로고
    • Deep Generative Dual Memory Network for Continual Learning
    • Kamra, N., Gupta, U., & Liu, Y. (2018). Deep Generative Dual Memory Network for Continual Learning,.
    • (2018)
    • Kamra, N.1    Gupta, U.2    Liu, Y.3
  • 83
    • 85083951383 scopus 로고    scopus 로고
    • Fearnet: Brain-inspired model for incremental learning
    • Kemker, R., Kanan, C., Fearnet: Brain-inspired model for incremental learning. ICLR'18, 2018.
    • (2018) ICLR'18
    • Kemker, R.1    Kanan, C.2
  • 87
    • 85045984599 scopus 로고    scopus 로고
    • Neurogenesis and brain repair
    • Neuroimmune Pharmacology. Springer
    • Kiyota, T., Neurogenesis and brain repair. 2017, Neuroimmune Pharmacology. Springer, 575–597.
    • (2017) , pp. 575-597
    • Kiyota, T.1
  • 89
    • 84901473156 scopus 로고    scopus 로고
    • Structural plasticity has high memory capacity and can explain graded amnesia, catastrophic forgetting, and the spacing effect
    • Knoblauch, A., Körner, E., Krner, U., Sommer, F.T., Structural plasticity has high memory capacity and can explain graded amnesia, catastrophic forgetting, and the spacing effect. PLoS ONE, 9:e96485, 2014.
    • (2014) PLoS ONE , vol.9e96485
    • Knoblauch, A.1    Körner, E.2    Krner, U.3    Sommer, F.T.4
  • 90
    • 0020068152 scopus 로고
    • Self-organized formation of topologically correct feature maps
    • Kohonen, T., Self-organized formation of topologically correct feature maps. Biological Cybernetics 43 (1982), 59–69.
    • (1982) Biological Cybernetics , vol.43 , pp. 59-69
    • Kohonen, T.1
  • 91
    • 0003410791 scopus 로고
    • Self-organizing maps
    • New York: Springer
    • Kohonen, T., Self-organizing maps. 1995, New York: Springer.
    • (1995)
    • Kohonen, T.1
  • 92
    • 77956002520 scopus 로고    scopus 로고
    • Learning multiple layers of features from tiny images
    • (Master's thesis) University of Toronto
    • Krizhevsky, A., Learning multiple layers of features from tiny images. (Master's thesis), 2009, University of Toronto.
    • (2009)
    • Krizhevsky, A.1
  • 93
    • 59649113160 scopus 로고    scopus 로고
    • Flexible shaping: how learning in small steps helps
    • Krueger, K.A., Dayan, P., Flexible shaping: how learning in small steps helps. Cognition 110 (2009), 380–394.
    • (2009) Cognition , vol.110 , pp. 380-394
    • Krueger, K.A.1    Dayan, P.2
  • 94
    • 85061593406 scopus 로고    scopus 로고
    • Hierarchical deep reinforcement learning: integrating temporal abstraction and intrinsic motivation
    • Kulkarni, T., Narasimhan, K., Saeedi, A., & Tenenbaum, J. (2016). Hierarchical deep reinforcement learning: integrating temporal abstraction and intrinsic motivation,.
    • (2016)
    • Kulkarni, T.1    Narasimhan, K.2    Saeedi, A.3    Tenenbaum, J.4
  • 95
    • 84974531647 scopus 로고    scopus 로고
    • What learning systems do intelligent agents need? Complementary learning systems theory updated
    • Kumaran, D., Hassabis, D., McClelland, J.L., What learning systems do intelligent agents need? Complementary learning systems theory updated. Trends in Cognitive Sciences 20:7 (2016), 512–534.
    • (2016) Trends in Cognitive Sciences , vol.20 , Issue.7 , pp. 512-534
    • Kumaran, D.1    Hassabis, D.2    McClelland, J.L.3
  • 96
    • 84867022077 scopus 로고    scopus 로고
    • Generalization through the recurrent interaction of episodic memories: a model of the hippocampal system
    • Kumaran, D., McClelland, J.L., Generalization through the recurrent interaction of episodic memories: a model of the hippocampal system. Psychological Review 119 (2012), 573–616.
    • (2012) Psychological Review , vol.119 , pp. 573-616
    • Kumaran, D.1    McClelland, J.L.2
  • 97
    • 33745074734 scopus 로고    scopus 로고
    • Age of acquisition effects depend on the mapping between representations and the frequency of occurrence: empirical and computational evidence
    • Lambon Ralph, M., Ehsan, S., Age of acquisition effects depend on the mapping between representations and the frequency of occurrence: empirical and computational evidence. Visual Cognition 13:7–8 (2006), 928–948.
    • (2006) Visual Cognition , vol.13 , Issue.7-8 , pp. 928-948
    • Lambon Ralph, M.1    Ehsan, S.2
  • 98
    • 70450172710 scopus 로고    scopus 로고
    • Learning to detect unseen object classes by between-class attribute transfer
    • Lampert, C., Nickisch, H., Harmeling, S., Learning to detect unseen object classes by between-class attribute transfer. CVPR'09, 2009.
    • (2009) CVPR'09
    • Lampert, C.1    Nickisch, H.2    Harmeling, S.3
  • 101
    • 0003874961 scopus 로고
    • Biological foundations of language
    • New York: Wiley
    • Lenneberg, E., Biological foundations of language. 1967, New York: Wiley.
    • (1967)
    • Lenneberg, E.1
  • 102
    • 0002557189 scopus 로고
    • CaTastrophic interference in neural networks: Causes, solutions, and data
    • Dempster F.N. Brainerd C. Academic Press, New York
    • Lewandowsky, S., Li, S., CaTastrophic interference in neural networks: Causes, solutions, and data. Dempster, F.N., Brainerd, C., (eds.) New perspectives on interference and inhibition in cognition, 1994, Academic Press, New York.
    • (1994) New perspectives on interference and inhibition in cognition
    • Lewandowsky, S.1    Li, S.2
  • 103
    • 84893828712 scopus 로고    scopus 로고
    • Early experience & multisensory perceptual narrowing
    • Lewkowicz, D.J., Early experience & multisensory perceptual narrowing. Developmental Psychobiology 56:2 (2014), 292–315.
    • (2014) Developmental Psychobiology , vol.56 , Issue.2 , pp. 292-315
    • Lewkowicz, D.J.1
  • 104
    • 9144252205 scopus 로고    scopus 로고
    • Early lexical development in a self-organising neural network
    • Li, P., Farkas, I., McWhinney, B., Early lexical development in a self-organising neural network. Neural Networks 17 (2004), 1345–1362.
    • (2004) Neural Networks , vol.17 , pp. 1345-1362
    • Li, P.1    Farkas, I.2    McWhinney, B.3
  • 105
    • 84990046274 scopus 로고    scopus 로고
    • Learning without forgetting
    • ECCV'16, Amsterdam, The Netherlands
    • Li, Z., Hoiem, D., Learning without forgetting., 2016, ECCV'16, Amsterdam, The Netherlands, 614–629.
    • (2016) , pp. 614-629
    • Li, Z.1    Hoiem, D.2
  • 106
    • 85041844520 scopus 로고    scopus 로고
    • Core50: A new dataset and benchmark for continuous object recognition
    • Lomonaco, V., Maltoni, D., Core50: A new dataset and benchmark for continuous object recognition. CoRL, 2017.
    • (2017) CoRL
    • Lomonaco, V.1    Maltoni, D.2
  • 107
    • 85047021111 scopus 로고    scopus 로고
    • Gradient episodic memory for continual learning
    • Lopez-Paz, D., Ranzato, M., Gradient episodic memory for continual learning. NIPS'17, 2017.
    • (2017) NIPS'17
    • Lopez-Paz, D.1    Ranzato, M.2
  • 109
    • 85061611118 scopus 로고    scopus 로고
    • Continuous Learning in Single-Incremental-Task Scenarios.
    • Maltoni, D., & Lomonaco, V. (2018). Continuous Learning in Single-Incremental-Task Scenarios.,.
    • (2018)
    • Maltoni, D.1    Lomonaco, V.2
  • 110
    • 0027266879 scopus 로고
    • Constraints on plasticity in a connectionist model of english past tense
    • Marchman, V.A., Constraints on plasticity in a connectionist model of english past tense. Journal of Cognitive Neuroscience 5:2 (1993), 215–234.
    • (1993) Journal of Cognitive Neuroscience , vol.5 , Issue.2 , pp. 215-234
    • Marchman, V.A.1
  • 111
    • 0242454655 scopus 로고    scopus 로고
    • Neuroconstructivism: How the brain constructs cognition
    • Oxford: Oxford University Press
    • Mareschal, D., Johnson, M., Sirios, S., Spratling, M., Thomas, M., Westermann, G., Neuroconstructivism: How the brain constructs cognition. 2007, Oxford: Oxford University Press.
    • (2007)
    • Mareschal, D.1    Johnson, M.2    Sirios, S.3    Spratling, M.4    Thomas, M.5    Westermann, G.6
  • 112
    • 0036789790 scopus 로고    scopus 로고
    • A self-organising network that grows when required
    • Marsland, S., Shapiro, J., Nehmzow, U., A self-organising network that grows when required. Neural Networks 15:8–9 (2002), 1041–1058.
    • (2002) Neural Networks , vol.15 , Issue.8-9 , pp. 1041-1058
    • Marsland, S.1    Shapiro, J.2    Nehmzow, U.3
  • 113
    • 0027632248 scopus 로고
    • Neural-gas network for vector quantization and its application to time-series prediction
    • Martinetz, T., Berkovich, S., Schulten, K., Neural-gas network for vector quantization and its application to time-series prediction. IEEE Transactions on Neural Networks 4:4 (1993), 558–569.
    • (1993) IEEE Transactions on Neural Networks , vol.4 , Issue.4 , pp. 558-569
    • Martinetz, T.1    Berkovich, S.2    Schulten, K.3
  • 114
    • 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
    • McClelland, J.L., McNaughton, B.L., O'Reilly, R.C., 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 (1995), 419–457.
    • (1995) Psychological Review , vol.102 , pp. 419-457
    • McClelland, J.L.1    McNaughton, B.L.2    O'Reilly, R.C.3
  • 115
    • 77957064197 scopus 로고
    • CaTastrophic interference in connectionist networks: The sequential learning problem
    • McCloskey, M., Cohen, N.J., CaTastrophic interference in connectionist networks: The sequential learning problem. The Psychology of Learning & Motivation 24 (1989), 104–169.
    • (1989) The Psychology of Learning & Motivation , vol.24 , pp. 104-169
    • McCloskey, M.1    Cohen, N.J.2
  • 116
    • 84897928992 scopus 로고    scopus 로고
    • The stability-plasticity dilemma: Investigating the continuum from Catastrophic forgetting to age-limited learning effects
    • Mermillod, M., Bugaiska, A., Bonin, P., The stability-plasticity dilemma: Investigating the continuum from Catastrophic forgetting to age-limited learning effects. Frontiers in Psychology, 4(504), 2013.
    • (2013) Frontiers in Psychology , vol.4 , Issue.504
    • Mermillod, M.1    Bugaiska, A.2    Bonin, P.3
  • 117
    • 85061620066 scopus 로고    scopus 로고
    • An Incremental Self-Organizing Architecture for Sensorimotor Learning and Prediction
    • Mici, L., Parisi, G. I., & Wermter, S. (2017). An Incremental Self-Organizing Architecture for Sensorimotor Learning and Prediction,.
    • (2017)
    • Mici, L.1    Parisi, G.I.2    Wermter, S.3
  • 118
    • 85047092718 scopus 로고    scopus 로고
    • A self-organizing neural network architecture for learning human-object interactions
    • Mici, L., Parisi, G.I., Wermter, S., A self-organizing neural network architecture for learning human-object interactions. Neurocomputing 307 (2018), 14–24.
    • (2018) Neurocomputing , vol.307 , pp. 14-24
    • Mici, L.1    Parisi, G.I.2    Wermter, S.3
  • 119
    • 0031238559 scopus 로고    scopus 로고
    • Dyslexic and category-specific aphasic impairments in a self-organizing feature map model of the lexicon
    • Miikkulainen, R., Dyslexic and category-specific aphasic impairments in a self-organizing feature map model of the lexicon. Brain & Language 59 (1997), 334–366.
    • (1997) Brain & Language , vol.59 , pp. 334-366
    • Miikkulainen, R.1
  • 120
    • 0024401053 scopus 로고
    • Occular dominance column development: Analysis and simulation
    • Miller, K., Keller, J., Stryker, M., Occular dominance column development: Analysis and simulation. Science 245 (1989), 605–615.
    • (1989) Science , vol.245 , pp. 605-615
    • Miller, K.1    Keller, J.2    Stryker, M.3
  • 121
    • 0002727735 scopus 로고
    • The role of constraints in hebbian learning
    • Miller, K., MacKay, D.J., The role of constraints in hebbian learning. Neural Computation 6 (1994), 100–126.
    • (1994) Neural Computation , vol.6 , pp. 100-126
    • Miller, K.1    MacKay, D.J.2
  • 122
    • 79956209852 scopus 로고    scopus 로고
    • Adult neurogenesis in the mammalian brain: Significant answers and significant questions.
    • Ming, G.L., Song, H., Adult neurogenesis in the mammalian brain: Significant answers and significant questions. Neuron 70 (2011), 687–702.
    • (2011) Neuron , vol.70 , pp. 687-702
    • Ming, G.L.1    Song, H.2
  • 123
    • 85046296060 scopus 로고    scopus 로고
    • Multimodal transfer deep learning with applications in audio-visual recognition
    • Moon, S., Kim, S., Wang, H., Multimodal transfer deep learning with applications in audio-visual recognition. NIPS'15, 2015.
    • (2015) NIPS'15
    • Moon, S.1    Kim, S.2    Wang, H.3
  • 126
    • 0034346795 scopus 로고    scopus 로고
    • Neural plasticity and human development: The role of early experience in sculpting memory systems
    • Nelson, C.A., Neural plasticity and human development: The role of early experience in sculpting memory systems. Developmental Science 3:2 (2000), 115–136.
    • (2000) Developmental Science , vol.3 , Issue.2 , pp. 115-136
    • Nelson, C.A.1
  • 129
    • 85061594936 scopus 로고    scopus 로고
    • The division of labor between the neocortex and hippocampus. connectionist modeling in cognitive (neuro-)science
    • George Houghton, Ed., Psychology Press
    • O'Reilly, R.C., The division of labor between the neocortex and hippocampus. connectionist modeling in cognitive (neuro-)science. 2004, George Houghton, Ed., Psychology Press.
    • (2004)
    • O'Reilly, R.C.1
  • 130
    • 0036897279 scopus 로고    scopus 로고
    • Hippocampal and neocortical contributions to memory: Advances in the complementary learning systems framework
    • O'Reilly, R.C., 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
  • 131
    • 0033817444 scopus 로고    scopus 로고
    • Computational principles of learning in the neocortex and hippocampus
    • O'Reilly, R.C., Rudy, J.W., Computational principles of learning in the neocortex and hippocampus. Hippocampus 10 (2000), 389–397.
    • (2000) Hippocampus , vol.10 , pp. 389-397
    • O'Reilly, R.C.1    Rudy, J.W.2
  • 134
    • 0037298457 scopus 로고    scopus 로고
    • Brain imaging of language plasticity in adopted adults: can a second language replace a first?
    • Pallier, C., Dehaene, S., Poline, J.B., LeBihan, D., Argenti, A.M., Dupoux, E., et al. Brain imaging of language plasticity in adopted adults: can a second language replace a first?. Cerebral Cortex 13 (2003), 155–161.
    • (2003) Cerebral Cortex , vol.13 , pp. 155-161
    • Pallier, C.1    Dehaene, S.2    Poline, J.B.3    LeBihan, D.4    Argenti, A.M.5    Dupoux, E.6
  • 136
    • 85061576147 scopus 로고    scopus 로고
    • A Neurorobotic Experiment for Crossmodal Conflict Resolution in Complex Environments
    • Parisi, G., Barros, P., Fu, D., Magg, S., Wu, H., & Liu, X., et al. (2018). A Neurorobotic Experiment for Crossmodal Conflict Resolution in Complex Environments,.
    • (2018)
    • Parisi, G.1    Barros, P.2    Fu, D.3    Magg, S.4    Wu, H.5    Liu, X.6
  • 137
    • 85050361219 scopus 로고    scopus 로고
    • A computational model of crossmodal processing for conflict resolution
    • Parisi, G.I., Barros, P., Kerzel, M., Wu, H., Yang, G., Li, Z., et al. A computational model of crossmodal processing for conflict resolution. ICDL-EPIROB'17, 2017, 33–38.
    • (2017) ICDL-EPIROB'17 , pp. 33-38
    • Parisi, G.I.1    Barros, P.2    Kerzel, M.3    Wu, H.4    Yang, G.5    Li, Z.6
  • 140
    • 85030761514 scopus 로고    scopus 로고
    • Lifelong learning of humans actions with deep neural network self-organization
    • Parisi, G.I., Tani, J., Weber, C., Wermter, S., Lifelong learning of humans actions with deep neural network self-organization. Neural Networks 96 (2017), 137–149.
    • (2017) Neural Networks , vol.96 , pp. 137-149
    • Parisi, G.I.1    Tani, J.2    Weber, C.3    Wermter, S.4
  • 141
    • 85061569312 scopus 로고    scopus 로고
    • Lifelong Learning of Spatiotemporal Representations with Dual-Memory Recurrent Self-Organization
    • Parisi, G., Tani, J., Weber, C., & Wermter, S. (2018). Lifelong Learning of Spatiotemporal Representations with Dual-Memory Recurrent Self-Organization,.
    • (2018)
    • Parisi, G.1    Tani, J.2    Weber, C.3    Wermter, S.4
  • 142
    • 85031919269 scopus 로고    scopus 로고
    • Incremental on-line learning of object classes using a combination of self-organizing incremental neural networks and deep convolutional neural networks
    • Part, J.L., Lemon, O., Incremental on-line learning of object classes using a combination of self-organizing incremental neural networks and deep convolutional neural networks. IROS'16, workshop on bio-inspired social robot learning in home scenarios, 2016.
    • (2016) IROS'16, workshop on bio-inspired social robot learning in home scenarios
    • Part, J.L.1    Lemon, O.2
  • 143
    • 85050362097 scopus 로고    scopus 로고
    • Incremental online learning of objects for robots operating in real environments
    • Part, J.L., Lemon, O., Incremental online learning of objects for robots operating in real environments. ICDL-EPIROB'17, 2017.
    • (2017) ICDL-EPIROB'17
    • Part, J.L.1    Lemon, O.2
  • 144
    • 85040005905 scopus 로고    scopus 로고
    • Curiosity-driven exploration by self-supervised prediction
    • Pathak, D., Agrawal, P., Efros, A.A., Darrell, F., Curiosity-driven exploration by self-supervised prediction. ICML'17, 2017.
    • (2017) ICML'17
    • Pathak, D.1    Agrawal, P.2    Efros, A.A.3    Darrell, F.4
  • 147
    • 84898027302 scopus 로고    scopus 로고
    • Adult neurogenesis in brain repair: Cellular plasticity vs. cellular replacement
    • Quadrato, G., Elnaggar, M.Y., Di Giovanni, S., Adult neurogenesis in brain repair: Cellular plasticity vs. cellular replacement. Frontiers in Neuroscience, 8(17), 2014.
    • (2014) Frontiers in Neuroscience , vol.8 , Issue.17
    • Quadrato, G.1    Elnaggar, M.Y.2    Di Giovanni, S.3
  • 148
    • 0033360288 scopus 로고    scopus 로고
    • Predictive coding in the visual cortex: A functional interpretation of some extra-classical receptive-field effects
    • Rao, R.P.N., Ballard, D.H., Predictive coding in the visual cortex: A functional interpretation of some extra-classical receptive-field effects. Nature Neuroscience 2:1 (1999), 79–87.
    • (1999) Nature Neuroscience , vol.2 , Issue.1 , pp. 79-87
    • Rao, R.P.N.1    Ballard, D.H.2
  • 149
    • 0025407225 scopus 로고
    • Connectionist models of recognition memory: Constraints imposed by learning and forgetting functions
    • Ratcliff, R., Connectionist models of recognition memory: Constraints imposed by learning and forgetting functions. Psychological Review 97:2 (1990), 285–308.
    • (1990) Psychological Review , vol.97 , Issue.2 , pp. 285-308
    • Ratcliff, R.1
  • 150
    • 84906506420 scopus 로고    scopus 로고
    • CNN features off-the-shelf: An astounding baseline for recognition
    • CVPR'14, Columbus, OH
    • Razavian, A.S., Azizpour, H., Sullivan, J., Carlsson, S., CNN features off-the-shelf: An astounding baseline for recognition., 2014, CVPR'14, Columbus, OH, 806–813.
    • (2014) , pp. 806-813
    • Razavian, A.S.1    Azizpour, H.2    Sullivan, J.3    Carlsson, S.4
  • 151
    • 85061573170 scopus 로고    scopus 로고
    • H. iCaRL: Incremental Classifier and Representation Learning
    • Rebuffi, S. A., Kolesnikov, A., Sperl, G., & Lampert, C. H. (2016). iCaRL: Incremental Classifier and Representation Learning,.
    • (2016)
    • Rebuffi, S.A.1    Kolesnikov, A.2    Sperl, G.3    Lampert, C.4
  • 152
    • 85061614082 scopus 로고    scopus 로고
    • Neural programmer interpreters
    • Reed, S., & de Freitas, N. (2015). Neural programmer interpreters,.
    • (2015)
    • Reed, S.1    de Freitas, N.2
  • 153
    • 85017151114 scopus 로고    scopus 로고
    • Life-long learning based on dynamic combination model
    • Ren, B., Wang, H., Li, J., Gao, H., Life-long learning based on dynamic combination model. Applied Soft Computing 56 (2017), 398–404.
    • (2017) Applied Soft Computing , vol.56 , pp. 398-404
    • Ren, B.1    Wang, H.2    Li, J.3    Gao, H.4
  • 154
    • 43449083218 scopus 로고    scopus 로고
    • Critical periods and catastrophic interference effects in the development of self-organising feature maps
    • Richardson, F.M., Thomas, M.S.C., Critical periods and catastrophic interference effects in the development of self-organising feature maps. Developmental Science 11:3 (2008), 371–389.
    • (2008) Developmental Science , vol.11 , Issue.3 , pp. 371-389
    • Richardson, F.M.1    Thomas, M.S.C.2
  • 155
    • 0031189347 scopus 로고    scopus 로고
    • Child: A first step towards continual learning
    • Ring, M.B., Child: A first step towards continual learning. Machine Learning 28 (1997), 77–104.
    • (1997) Machine Learning , vol.28 , pp. 77-104
    • Ring, M.B.1
  • 157
    • 38149038993 scopus 로고
    • CaTastrophic forgetting, rehearsal and pseudorehearsal
    • Robins, A.V., CaTastrophic forgetting, rehearsal and pseudorehearsal. Connection Science 7:2 (1995), 123–146.
    • (1995) Connection Science , vol.7 , Issue.2 , pp. 123-146
    • Robins, A.V.1
  • 160
    • 0028443865 scopus 로고
    • Neural network learning control of robot manipulators using gradually increasing task difficulty
    • Sanger, T.D., Neural network learning control of robot manipulators using gradually increasing task difficulty. IEEE Transactions on Robotics and Automation, 10, 1994.
    • (1994) IEEE Transactions on Robotics and Automation , vol.10
    • Sanger, T.D.1
  • 161
    • 85061564372 scopus 로고
    • Curious model-building control systems.
    • Schmidhuber, J. (1991). Curious model-building control systems.
    • (1991)
    • Schmidhuber, J.1
  • 162
    • 10044233701 scopus 로고    scopus 로고
    • Recognizing human actions: A local SVM approach
    • Schuldt, C., Laptev, I., Caputo, B., Recognizing human actions: A local SVM approach. ICPR'04, 2004, 32–36.
    • (2004) ICPR'04 , pp. 32-36
    • Schuldt, C.1    Laptev, I.2    Caputo, B.3
  • 163
    • 36649000516 scopus 로고    scopus 로고
    • Connectionist models in developmental cognitive neuroscience: Critical periods and the paradox of success
    • Munakata Y. Johnson M.H. Oxford: Oxford University Press
    • Seidenberg, M., Zevin, J., Connectionist models in developmental cognitive neuroscience: Critical periods and the paradox of success. Munakata, Y., Johnson, M.H., (eds.) Processes of change in brain and cognitive development: Attention and Performance XXI, 2006, Oxford: Oxford University Press, 315–347.
    • (2006) Processes of change in brain and cognitive development: Attention and Performance XXI , pp. 315-347
    • Seidenberg, M.1    Zevin, J.2
  • 164
    • 4544274171 scopus 로고    scopus 로고
    • Children creating core properties of language: Evidence from an emerging sign language in nicaragua
    • Senghas, A., Kita, S., Özyürek, A., Children creating core properties of language: Evidence from an emerging sign language in nicaragua. Science 305 (2004), 1779–1782.
    • (2004) Science , vol.305 , pp. 1779-1782
    • Senghas, A.1    Kita, S.2    Özyürek, A.3
  • 166
    • 85047003099 scopus 로고    scopus 로고
    • Continual learning with deep generative replay
    • Shin, H., Lee, J.K., Kim, J., Kim, J., Continual learning with deep generative replay. NIPS'17, 2017.
    • (2017) NIPS'17
    • Shin, H.1    Lee, J.K.2    Kim, J.3    Kim, J.4
  • 167
  • 168
    • 84922260944 scopus 로고    scopus 로고
    • Short-term plasticity as cause-effect hypothesis testing is distal reward learning
    • Soltoggio, A., Short-term plasticity as cause-effect hypothesis testing is distal reward learning. Biological Cybernetics 109 (2015), 75–94.
    • (2015) Biological Cybernetics , vol.109 , pp. 75-94
    • Soltoggio, A.1
  • 169
    • 85061612323 scopus 로고    scopus 로고
    • Born to learn: the inspiration, progress, and future of evolved plastic artificial neural networks
    • Soltoggio, A., Stanley, K. O., & Risi, S. (2017). Born to learn: the inspiration, progress, and future of evolved plastic artificial neural networks,.
    • (2017)
    • Soltoggio, A.1    Stanley, K.O.2    Risi, S.3
  • 170
    • 0033860923 scopus 로고    scopus 로고
    • Competitive hebbian learning through spike-timing-dependent synaptic plasticity
    • Song, S., Miller, K.D., Abbott, L.F., Competitive hebbian learning through spike-timing-dependent synaptic plasticity. Nature Neuroscience 3 (2000), 919–926.
    • (2000) Nature Neuroscience , vol.3 , pp. 919-926
    • Song, S.1    Miller, K.D.2    Abbott, L.F.3
  • 171
    • 85044218944 scopus 로고    scopus 로고
    • Human hippocampal neurogenesis drops sharply in children to undetectable levels in adults
    • Sorrells, S.F., Paredes, M.F., Arantxa, C.S., Sandoval, K., Dashi, Q., Kelley, K.W., et al. Human hippocampal neurogenesis drops sharply in children to undetectable levels in adults. Nature 555 (2018), 377–381.
    • (2018) Nature , vol.555 , pp. 377-381
    • Sorrells, S.F.1    Paredes, M.F.2    Arantxa, C.S.3    Sandoval, K.4    Dashi, Q.5    Kelley, K.W.6
  • 173
    • 84910061303 scopus 로고    scopus 로고
    • Orienting attention: A crossmodal perspective
    • Oxford, UK: Oxford University Press
    • Spence, C., Orienting attention: A crossmodal perspective. The Oxford handbook of attention, 2014, Oxford, UK: Oxford University Press, 446–471.
    • (2014) The Oxford handbook of attention , pp. 446-471
    • Spence, C.1
  • 174
    • 0003777177 scopus 로고
    • The merging of the senses
    • The MIT Press, Cambridge, MA, US
    • Stein, B.E., Meredith, M.A., The merging of the senses. 1993, The MIT Press, Cambridge, MA, US.
    • (1993)
    • Stein, B.E.1    Meredith, M.A.2
  • 175
    • 84904464505 scopus 로고    scopus 로고
    • Development of multisensory integration from the perspective of the individual neuron
    • Stein, B.E., Stanford, T.R., Rowland, B.A., Development of multisensory integration from the perspective of the individual neuron. Nature Reviews Neuroscience 15:8 (2014), 520–535.
    • (2014) Nature Reviews Neuroscience , vol.15 , Issue.8 , pp. 520-535
    • Stein, B.E.1    Stanford, T.R.2    Rowland, B.A.3
  • 176
    • 0035316289 scopus 로고    scopus 로고
    • Development and plasticity of cortical areas and networks
    • Sur, M., Leamey, C.A., Development and plasticity of cortical areas and networks. Nature Reviews Neuroscience 2 (2001), 251–262.
    • (2001) Nature Reviews Neuroscience , vol.2 , pp. 251-262
    • Sur, M.1    Leamey, C.A.2
  • 177
    • 85027265982 scopus 로고    scopus 로고
    • Exploring robotic minds: Actions, Symbols, and consciousness a self-organizing dynamic phenomena
    • Oxford University Press
    • Tani, J., Exploring robotic minds: Actions, Symbols, and consciousness a self-organizing dynamic phenomena. 2016, Oxford University Press.
    • (2016)
    • Tani, J.1
  • 178
    • 85061608493 scopus 로고    scopus 로고
    • Online learning with stochastic recurrent neural networks using intrinsic motivation signals
    • Tanneberg, D., Peters, J., Rueckert, E., Online learning with stochastic recurrent neural networks using intrinsic motivation signals. CoRL'17, 2017.
    • (2017) CoRL'17
    • Tanneberg, D.1    Peters, J.2    Rueckert, E.3
  • 179
    • 0037106145 scopus 로고    scopus 로고
    • Adult neurogenesis and neural stem cells of the central nervous system in mammals
    • Taupin, P., Gage, F.H., Adult neurogenesis and neural stem cells of the central nervous system in mammals. Journal of Neuroscience Research 69:6 (2002), 745–749.
    • (2002) Journal of Neuroscience Research , vol.69 , Issue.6 , pp. 745-749
    • Taupin, P.1    Gage, F.H.2
  • 180
    • 84950249115 scopus 로고    scopus 로고
    • The global landscape of cognition: hierarchical aggregation as an organizational principle of human cortical networks and functions
    • Taylor, P., Hobbs, J.N., Burroni, J., Siegelmann, H.T., The global landscape of cognition: hierarchical aggregation as an organizational principle of human cortical networks and functions. Scientific Reports, 5(18112), 2015.
    • (2015) Scientific Reports , vol.5 , Issue.18112
    • Taylor, P.1    Hobbs, J.N.2    Burroni, J.3    Siegelmann, H.T.4
  • 182
    • 33646588037 scopus 로고    scopus 로고
    • The computational modelling of sensitive periods
    • Thomas, M., Johnson, M., The computational modelling of sensitive periods. Developmental Psychobiology 48:4 (2006), 337–344.
    • (2006) Developmental Psychobiology , vol.48 , Issue.4 , pp. 337-344
    • Thomas, M.1    Johnson, M.2
  • 184
    • 80051671761 scopus 로고    scopus 로고
    • Schema-dependent gene activation and memory encoding in neocortex
    • Tse, D., Takeuchi, T., Kakeyama, M., Kajii, Y., Okuno, H., Tohyama, C., et al. Schema-dependent gene activation and memory encoding in neocortex. Science 333 (2011), 891–895.
    • (2011) Science , vol.333 , pp. 891-895
    • Tse, D.1    Takeuchi, T.2    Kakeyama, M.3    Kajii, Y.4    Okuno, H.5    Tohyama, C.6
  • 185
    • 79959889965 scopus 로고    scopus 로고
    • Too many cooks? Intrinsic and synaptic homeostatic mechanisms in cortical circuit refinement
    • Turrigiano, G., Too many cooks? Intrinsic and synaptic homeostatic mechanisms in cortical circuit refinement. Annual Review of Neuroscience 34 (2011), 89–103.
    • (2011) Annual Review of Neuroscience , vol.34 , pp. 89-103
    • Turrigiano, G.1
  • 186
    • 33746429161 scopus 로고    scopus 로고
    • Development of the human cortex and the concept of critical or sensitive periods
    • Uylings, H., Development of the human cortex and the concept of critical or sensitive periods. Language Learning 56 (2006), 59–90.
    • (2006) Language Learning , vol.56 , pp. 59-90
    • Uylings, H.1
  • 190
    • 33745185266 scopus 로고    scopus 로고
    • Biomimetic neural learning for intelligent robots
    • Intelligent Systems, Cognitive Robotics, and Neuroscience. Springer, Berlin, Heidelberg
    • Wermter, S., Palm, G., Elshaw, M., Biomimetic neural learning for intelligent robots. 2005, Intelligent Systems, Cognitive Robotics, and Neuroscience. Springer, Berlin, Heidelberg.
    • (2005)
    • Wermter, S.1    Palm, G.2    Elshaw, M.3
  • 193
    • 85083951868 scopus 로고    scopus 로고
    • Lifelong learning with dynamically expandable networks
    • Yoon, J., Yang, E., Lee, J., Hwang, S.J., Lifelong learning with dynamically expandable networks. ICLR'18, 2018.
    • (2018) ICLR'18
    • Yoon, J.1    Yang, E.2    Lee, J.3    Hwang, S.J.4
  • 194
    • 85017627186 scopus 로고    scopus 로고
    • The temporal paradox of hebbian learning and homeostatic plasticity
    • Zenke, F., Gerstner, W., Ganguli, S., The temporal paradox of hebbian learning and homeostatic plasticity. Neurobiology 43 (2017), 166–176.
    • (2017) Neurobiology , vol.43 , pp. 166-176
    • Zenke, F.1    Gerstner, W.2    Ganguli, S.3
  • 195
    • 85046995202 scopus 로고    scopus 로고
    • Continual learning through synaptic intelligence
    • ICML'17, Sydney, Australia
    • Zenke, F., Poole, B., Ganguli, S., Continual learning through synaptic intelligence., 2017, ICML'17, Sydney, Australia.
    • (2017)
    • Zenke, F.1    Poole, B.2    Ganguli, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.