Fetching the paper…
Reading the bibliography…
Humans and animals have the ability to continually acquire, fine-tune, and transfer knowledge and skills throughout their lifespan.
Hebb, D. (1949), The Organization of Behavior
1949
Earlier work this paper cites.
Skinner, B. F. (1958), ‘Reinforcement today’, American Psychologist
1958
Earlier work this paper cites.
Hubel, D. H. & Wiesel, T. H. (1962), ‘Receptive fields, binocular and functional architecture in the cat’s visual cortex’, Journal of Physiology
1962
Earlier work this paper cites.
Altman, J. (1963), ‘Autoradiographic investigation of cell proliferation in the brains of rats and cats’, The Anatomical Record
1963
Earlier work this paper cites.
Hubel, D. H. & Wiesel, T. H. (1967), ‘Cortical and callosal connections concerned with the vertical meridian of visual fields in the cat’, Journal of Neurophysiology
1967
Earlier work this paper cites.
Lenneberg, E. (1967), Biological foundations of language
1967
Earlier work this paper cites.
Hirsch, H. & Spinelli, D. (1970), ‘Visual experience modifies distribution of horizontally and vertically oriented receptive fields in cats’, Science
1970
Earlier work this paper cites.
Hubel, D. H. & Wiesel, T. H. (1970), ‘The period of susceptibility to the psychological effects of unilateral eye closure in kittens’, Journal of Physiology
1970
Earlier work this paper cites.
Willshaw, D. J. & von der Malsburg, C. (1976), ‘How patterned neural connections can be set up by self-organization’, Proceedings of the Royal Society of London B: Biological Sciences
1976
Earlier work this paper cites.
Hubel, D. H., Wiesel, T. H. & LeVay, S. (1977), ‘Plasticity of ocular dominance columns in monkey striate cortex’, Philosophical Transactions of the Royal Society of London, Series B: Biological Sciences
1977
Earlier work this paper cites.
Grossberg, S. (1980), ‘How does a brain build a cognitive code?’, Psychol. Rev
1980
Earlier work this paper cites.
Bienenstock, E., Cooper, L. & Munro, P. (1982), ‘Theory for the development of neuron selectivity: orientation specificity and binocular interaction in visual cortex’, The Journal of Neuroscience
1982
Earlier work this paper cites.
Kohonen, T. (1982), ‘Self-organized formation of topologically correct feature maps’, Biological Cybernetics
1982
Earlier work this paper cites.
Nadal, J. P., Toulouse, G., Changeux, J. P. & Dehaene, S. (1986), ‘Networks of formal neurons and memory palimpsets’, Europhysics Letters
1986
Earlier work this paper cites.
Hinton, G. E. & Plaut, D. C. (1987), Using fast weights to deblur old memories, Proceedings of the Annual Conference of the Cognitive Science Society, pp. 177–186
1987
Earlier work this paper cites.
McCloskey, M. & Cohen, N. J. (1989), ‘Catastrophic interference in connectionist networks: The sequential learning problem’, The Psychology of Learning and Motivation
1989
Earlier work this paper cites.
Miller, K., Keller, J. & Stryker, M. (1989), ‘Occular dominance column development: Analysis and simulation’, Science
1989
Earlier work this paper cites.
Ratcliff, R. (1990), ‘Connectionist models of recognition memory: Constraints imposed by learning and forgetting functions’, Psychological Review
1990
Earlier work this paper cites.
Burgess, N., Shapiro, J. L. & Moore, M. A. (1991), ‘Neural network models of list learning’, Networks
1991
Earlier work this paper cites.
Hertz, J., Krogh, A. & Palmer, R. G. (1991), Introduction to the Theory of Neural Computation
1991
Earlier work this paper cites.
Schmidhuber, J. (1991), Curious model-building control systems
1991
Earlier work this paper cites.
Fritzke, B. (1992), A growing neural gas network learns topologies, Vol. 7, NIPS’95, Denver, CO, pp. 625–632
1992
Earlier work this paper cites.
Cameron, H. A., Woolley, C. S., McEwen, B. S. & Gould, E. (1993), ‘Differentiation of newly born neurons and glia in the dentate gyrus of the adult rat’, Neuroscience
1993
Earlier work this paper cites.
Elman, J. L. (1993), ‘Learning and development in neural networks: The importance of starting small’, Cognition
1993
Earlier work this paper cites.
Marchman, V. A. (1993), ‘Constraints on plasticity in a connectionist model of English past tense’, Journal of Cognitive Neuroscience
1993
Earlier work this paper cites.
Martinetz, T., Berkovich, S. & Schulten, K. (1993), ‘Neural-gas network for vector quantization and its application to time-series prediction’, IEEE Transactions on Neural Networks
1993
Earlier work this paper cites.
Robins, A. V. (1993), Catastrophic forgetting in neural networks: The role of rehearsal mechanisms, Proceedings of the First New Zealand International Two-stream Conference on Artificial Neural Networks and Expert Systems. IEEE Computer Society Press
1993
Earlier work this paper cites.
Stein, B. E. & Meredith, M. A. (1993), The merging of the senses
1993
Earlier work this paper cites.
Lewandowsky, S. & Li, S. (1994), Catastrophic Interference in Neural Networks: Causes, Solutions, and Data
1994
Earlier work this paper cites.
Miller, K. & MacKay, D. J. (1994), ‘The role of constraints in Hebbian learning’, Neural Computation
1994
Earlier work this paper cites.
Sanger, T. D. (1994), ‘Neural network learning control of robot manipulators using gradually increasing task difficulty’, IEEE Transactions on Robotics and Automation
1994
Earlier work this paper cites.
Douglas, R. J., Koch, C., Mahowald, M., Martin, K. A. & Suarez, H. H. (1995), ‘Recurrent excitation in neocortical circuits’, Science
1995
Earlier work this paper cites.
Kohonen, T. (1995), Self-organizing maps
1995
Earlier work this paper cites.
McClelland, J. L., McNaughton, B. L. & O’Reilly, R. C. (1995), ‘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
1995
Earlier work this paper cites.
Robins, A. V. (1995), ‘Catastrophic forgetting, rehearsal and pseudorehearsal’, Connection Science
1995
Earlier work this paper cites.
Thrun, S. & Mitchell, T. (1995), ‘Lifelong robot learning’, Robotics and Autonomous Systems
1995
Earlier work this paper cites.
Shatz, C. J. (1996), ‘Emergence of order in visual system development’, Proceedings of the National Academy of Sciences
1996
Earlier work this paper cites.
French, R. M. (1997), ‘Pseudo-recurrent connectionist networks: An approach to the sensitivity-stability dilemma’, Connection Science
1997
Earlier work this paper cites.
Holyoak, K. & Thagard, P. (1997), ‘The analogical mind’, American Psychologist
1997
Earlier work this paper cites.
Miikkulainen, R. (1997), ‘Dyslexic and category-specific aphasic impairments in a self-organizing feature map model of the lexicon’, Brain and Language
1997
Earlier work this paper cites.
Ring, M. B. (1997), ‘CHILD: A first step towards continual learning’, Machine Learning
1997
Earlier work this paper cites.
Eriksson, P. S., Perfilieva, E., Bjork-Eriksson, T., Alborn, A.-M., Nordborg, C., Peterson, D. A. & Gage, F. H. (1998), ‘Neurogenesis in the adult human hippocampus’, Nature medicine
1998
Earlier work this paper cites.
Hensch, T. K., Fagiolini, M., Mataga, N., Stryker, M. P., Baekkeskov, S. & Kash, S. F. (1998), ‘Local gaba circuit control of experience-dependent plasticity in developing visual cortex’, Science
1998
Earlier work this paper cites.
LeCun, Y., Bottou, L., Bengio, Y. & Haffner, P. (1998), Gradient-based learning applied to document recognition
1998
Earlier work this paper cites.
Bontempi, B., Laurent-Demir, C., Destrade, C. & Jaffard, R. (1999), ‘Time-dependent reorganization of brain circuitry underlying long-term memory storage’, Nature
1999
Earlier work this paper cites.
French, R. M. (1999), ‘Catastrophic forgetting in connectionist networks’, Trends in Cognitive Sciences
1999
Earlier work this paper cites.
Gopnik, A., Meltzoff, A. N. & Kuhl, P. K. (1999), The scientist in the crib: Minds, brains, and how children learn
1999
Earlier work this paper cites.
Rao, R. P. N. & Ballard, D. H. (1999), ‘Predictive coding in the visual cortex: A functional interpretation of some extra-classical receptive-field effects’, Nature Neuroscience
1999
Earlier work this paper cites.
Abbott, L. F. & Nelson, S. B. (2000), ‘Synaptic plasticity: taming the beast’, Nature Neuroscience
2000
Earlier work this paper cites.
Gage, F. H. (2000), ‘Mammalian neural stem cells’, Science
2000
Earlier work this paper cites.
Nelson, C. A. (2000), ‘Neural plasticity and human development: The role of early experience in sculpting memory systems’, Developmental Science
2000
Earlier work this paper cites.
O’Reilly, R. C. & Rudy, J. W. (2000), ‘Computational principles of learning in the neocortex and hippocampus’, Hippocampus
2000
Earlier work this paper cites.
Song, S., Miller, K. D. & Abbott, L. F. (2000), ‘Competitive Hebbian learning through spike-timing-dependent synaptic plasticity’, Nature Neuroscience
2000
Earlier work this paper cites.
Braun, C., Heinz, U., Schweizer, R., Weich, K., Birbaumer, N. & Topka, H. (2001), ‘Dynamic organization of the somato-sensory cortex induced by motor activity’, Brain
2001
Earlier work this paper cites.
Polikar, R., Upda, L., Upda, S. S. & Honavar, V. (2001), ‘Learn++: An incremental learning algorithm for supervised neural networks’, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews)
2001
Earlier work this paper cites.
Sur, M. & Leamey, C. A. (2001), ‘Development and plasticity of cortical areas and networks’, Nature Reviews Neuroscience
2001
Earlier work this paper cites.
Barnett, S. & Ceci, S. (2002), ‘When and where do we apply what we learn? a taxonomy for far transfer’, Psychological Bulletin
2002
Earlier work this paper cites.
Marsland, S., Shapiro, J. & Nehmzow, U. (2002), ‘A self-organising network that grows when required’, Neural Networks
2002
Earlier work this paper cites.
O’Reilly, R. C. and. Norman, K. A. (2002), ‘Hippocampal and neocortical contributions to memory: Advances in the complementary learning systems framework’, Trends in Cognitive Sciences
2002
Earlier work this paper cites.
Taupin, P. & Gage, F. H. (2002), ‘Adult neurogenesis and neural stem cells of the central nervous system in mammals’, Journal of neuroscience research
2002
Earlier work this paper cites.
Fei-Fei, L., Fergus, R. & Perona, P. (2003), A bayesian approach to unsupervised one-shot learning of object categories, ICCV’03, Nice, France
2003
Earlier work this paper cites.
Pallier, C., Dehaene, S., Poline, J.-B., LeBihan, D., Argenti, A.-M., Dupoux, E. & Mehler, J. (2003), ‘Brain imaging of language plasticity in adopted adults: can a second language replace a first?’, Cerebral Cortex
2003
Earlier work this paper cites.
Calvert, G., Spence, C. & Stein, B. (2004), The Handbook of Multisensory Processes
2004
Earlier work this paper cites.
Ernst, M. O. & Bülthoff, H. (2004), ‘Merging the senses into a robust percept’, Trends in Cognitive Sciences
2004
Earlier work this paper cites.
Hensch, T. (2004), ‘Critical period regulation’, Annual Review of Neuroscience
2004
Earlier work this paper cites.
Li, P., Farkas, I. & McWhinney, B. (2004), ‘Early lexical development in a self-organising neural network’, Neural Networks
2004
Earlier work this paper cites.
O’Reilly, R. C. (2004), The Division of Labor Between the Neocortex and Hippocampus. Connectionist Modeling in Cognitive (Neuro-)Science
2004
Cited alongside, same era.
Schuldt, C., Laptev, I. & Caputo, B. (2004), Recognizing human actions: A local SVM approach, ICPR’04, Cambridge, UK, pp. 32–36
2004
Cited alongside, same era.
Senghas, A., Kita, S. & Özyürek, A. (2004), ‘Children creating core properties of language: Evidence from an emerging sign language in Nicaragua’, Science
2004
Cited alongside, same era.
Abraham, W. C. & Robins, A. (2005), ‘Memory retention and weight plasticity in ANN simulations’, Trends in Neurosciences
2005
Cited alongside, same era.
Fusi, S., Drew, P. J. & Abbott, L. F. (2005), ‘Cascade models of synaptically stored memories’, Neuron
2005
Cited alongside, same era.
Reed, S. & de Freitas, N. (2015), Neural programmer interpreters, arXiv:1511.06279
2015
Later among the works it cites.
Soltoggio, A. (2015), ‘Short-term plasticity as cause-effect hypothesis testing is distal reward learning’, Biological Cybernetics
2015
Later among the works it cites.
Taylor, P., Hobbs, J. N., Burroni, J. & Siegelmann, H. T. (2015), ‘The global landscape of cognition: hierarchical aggregation as an organizational principle of human cortical networks and functions’, Scientific Reports
2015
Later among the works it cites.
Bellemare, M., Srinivasan, S., Ostrovski, G., Schaul, T., Saxton, D. & Munos, R. (2016), Unifying count-based exploration and intrinsic motivation
2016
Later among the works it cites.
Benna, M. K. & Fusi, S. (2016), ‘Computational principles of synaptic memory consolidation’, Nature Neuroscience
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Gorelick, L., Blank, M., Shechtman, E., Irani, M. & Basri, R. (2005), Actions as space-time shapes, ICCV’05, Beijing, China, pp. 1395–1402
2005
Cited alongside, same era.
Wermter, S., Palm, G. & Elshaw, M. (2005), Biomimetic Neural Learning for Intelligent Robots
2005
Cited alongside, same era.
Aimone, J. B., Wiles, J. & Gage, F. H. (2006), ‘Potential role for adult neurogenesis in the encoding of time in new memories.’, Nature Neuroscience
2006
Cited alongside, same era.
Davis, G. W. (2006), ‘Homeostatic control of neural activity: from phenomenology to molecular design’, Annual Review of Neuroscience
2006
Cited alongside, same era.
Lambon Ralph, M. & Ehsan, S. (2006), ‘Age of acquisition effects depend on the mapping between representations and the frequency of occurrence: empirical and computational evidence’, Visual Cognition
2006
Cited alongside, same era.
Seidenberg, M. & Zevin, J. (2006), Connectionist models in developmental cognitive neuroscience: Critical periods and the paradox of success
2006
Cited alongside, same era.
Thomas, M. & Johnson, M. (2006), ‘The computational modelling of sensitive periods’, Developmental Psychobiology
2006
Cited alongside, same era.
2016
Later among the works it cites.
2016
Later among the works it cites.
Forestier, S. & Oudeyer, P.-Y. (2016), Curiosity-driven development of tool use precursors: a computational model, Proceedings of the Annual Conference of the Cognitive Science Society
2016
Later among the works it cites.
Graves, A., Wayne, G., Reynolds, M., Harley, T., Danihelka, I., Grabska-Barwinska, A., Colmenarejo, S. G., Grefenstette, E., Ramalho, T. & Agapiou, J. e. a. (2016), ‘Hybrid computing using a neural network with dynamic external memory’, Nature
2016
Later among the works it cites.
Guo, Y., Liu, Y., Oerlemans, A., Lao, S., Wu, S. & Lew, M. (2016), ‘Deep learning for visual understanding: A review’, Neurocomputing
2016
Later among the works it cites.
2016
Later among the works it cites.
Kumaran, D., Hassabis, D. & McClelland, J. L. (2016), ‘What learning systems do intelligent agents need? complementary learning systems theory updated’, Trends in Cognitive Sciences
2016
Later among the works it cites.
Li, Z. & Hoiem, D. (2016), Learning without forgetting, ECCV’16, Amsterdam, The Netherlands, pp. 614–629
2016
Later among the works it cites.
Lüders, B., Schläger, M. & Risi, S. (2016), Continual learning through evolvable neural turing machines, NIPS’16, Workshop on Continual Learning and Deep Networks, Barcelona, Spain
2016
Later among the works it cites.
Murray, M. M., Lewkowicz, D. J., Amedi, A. & Wallace, M. T. (2016), ‘Multisensory processes: A balancing act across the lifespan’, Trends in Neurosciences
2016
Later among the works it cites.
Parisi, G. I., Magg, S. & Wermter, S. (2016), Human motion assessment in real time using recurrent self-organization, Proceedings of the IEEE International Symposium on Robot and Human Interactive Communication, New York, NY, pp. 71–79
2016
Later among the works it cites.
Part, J. L. & Lemon, O. (2016), 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, Daejeon, South Korea
2016
Later among the works it cites.
Power, J. D. & Schlaggar, B. L. (2016), ‘Neural plasticity across the lifespan’, Wiley Interdisciplinary Reviews: Developmental Biology
2016
Later among the works it cites.
2016
Later among the works it cites.
2016
Later among the works it cites.
Tani, J. (2016), Exploring Robotic Minds: Actions, Symbols, and Consciousness a Self-Organizing Dynamic Phenomena
2016
Later among the works it cites.
Vinyals, O., Blundell, C., Lillicrap, T. & Wierstra, D. (2016), Matching networks for one shot learning, NIPS’16, Barcelona, Spain
2016
Later among the works it cites.
Weiss, K., Khoshgoftaar, T. M. & Wang, D.-D. (2016), ‘A survey of transfer learning’, Journal of Big Data
2016
Later among the works it cites.
2017
Later among the works it cites.
Barros, P., Parisi, G. I., Fu, D., Liu, X. & Wermter, S. (2017), Expectation learning for adaptive crossmodal stimuli association, EUCog Meeting Proceedings, Zurich, Switzerland
2017
Later among the works it cites.
Chen, Y.-C. & Spence, C. (2017), ‘Assessing the role of the unity assumption on multisensory integration: A review’, Frontiers in Psychology
2017
Later among the works it cites.
Draelos, T. J., Miner, N. E., Lamb, C. C., Vineyard, C. M., Carlson, K. D., James, C. D. & Aimone, J. B. (2017), Neurogenesis deep learning, IJCNN’17, Anchorage, Alaska, pp. 526–533
2017
Later among the works it cites.
Elfaramawy, N., Barros, P., Parisi, G. I. & Wermter, S. (2017), Emotion recognition from body expressions with a neural network architecture, Proceedings of the International Conference on Human Agent Interaction (HAI’17), Bielefeld, Germany, pp. 143–149
2017
Later among the works it cites.
2017
Later among the works it cites.
2017
Later among the works it cites.
Gemmeke, J. F., Ellis, D. P. W., Freedman, D., Jansen, A., Lawrence, W., Moore, R. C., Plakal, M. & Ritter, M. (2017), Audio set: An ontology and human-labeled dataset for audio events, ICASSP’17, New Orleans, LA
2017
Later among the works it cites.
Grant, W. S., Tanner, J. & Itti, L. (2017), ‘Biologically plausible learning in neural networks with modulatory feedback’, Neural Networks
2017
Later among the works it cites.
2017
Later among the works it cites.
Hassabis, D., Kumaran, D., Summerfield, C. & Botvinick, M. (2017), ‘Neuroscience-inspired artificial intelligence’, Neuron Review
2017
Later among the works it cites.
Heeger, D. J. (2017), ‘Theory of cortical function’, Proceedings of the National Academy of Sciences of the United States of America
2017
Later among the works it cites.
Kirkpatrick, J., Pascanu, R., Rabinowitz, N., Veness, J., Desjardins, G., Rusu, A. A., Milan, K., Quan, J., Ramalho, T., Grabska-Barwinska, A., Hassabis, D., Clopath, C., Kumaran, D. & Hadsell, R. (2017), ‘Overcoming catastrophic forgetting in neural networks’, Proceedings of the National Academy of Sciences
2017
Later among the works it cites.
Kitamura, T., Ogawa, S. K., Roy, D. S., Okuyama, T., Morrissey, M. D., Smith, L. M., Redondo, R. L. & Tonegawa, S. (2017), ‘Engrams and circuits crucial for systems consolidation of a memory’, Science
2017
Later among the works it cites.
Kiyota, T. (2017), Neurogenesis and brain repair
2017
Later among the works it cites.
Knoblauch, A. . (2017), Impact of structural plasticity on memory formation and decline
2017
Later among the works it cites.
Lomonaco, V. & Maltoni, D. (2017), CORe50: A new dataset and benchmark for continuous object recognition, CoRL, Mountain View, CA
2017
Later among the works it cites.
Lopez-Paz, D. & Ranzato, M. (2017), Gradient episodic memory for continual learning, NIPS’17, Long Beach, CA
2017
Later among the works it cites.
2017
Later among the works it cites.
Parisi, G. I., Barros, P., Kerzel, M., Wu, H., Yang, G., Li, Z., Liu, X. & Wermter, S. (2017), A computational model of crossmodal processing for conflict resolution, ICDL-EPIROB’17, Lisbon, Portugal, pp. 33–38
2017
Later among the works it cites.
Parisi, G. I., Tani, J., Weber, C. & Wermter, S. (2017), ‘Lifelong learning of humans actions with deep neural network self-organization’, Neural Networks
2017
Later among the works it cites.
Part, J. L. & Lemon, O. (2017), Incremental online learning of objects for robots operating in real environments, ICDL-EPIROB’17, Lisbon, Portugal
2017
Later among the works it cites.
Pathak, D., Agrawal, P., Efros, A. A. & Darrell, F. (2017), Curiosity-driven exploration by self-supervised prediction, ICML’17, Sydney, Australia
2017
Later among the works it cites.
Ren, B., Wang, H., Li, J. & Gao, H. (2017), ‘Life-long learning based on dynamic combination model’, Applied Soft Computing
2017
Later among the works it cites.
Rusu, A. A., Vecerik, M., Rothörl, T., Heess, N., Pascanu, R. & Hadsell, R. (2017), Sim-to-real robot learning from pixels with progressive nets, CoRL’17, Mountain View, CA
2017
Later among the works it cites.
Shin, H., Lee, J. K., Kim, J. & Kim, J. (2017), Continual learning with deep generative replay, NIPS’17, Long Beach, CA
2017
Later among the works it cites.
2017
Later among the works it cites.
Tanneberg, D., Peters, J. & Rueckert, E. (2017), Online learning with stochastic recurrent neural networks using intrinsic motivation signals, CoRL’17, Mountain View, CA
2017
Later among the works it cites.
Tessler, C., Givony, S., Zahavy, T., Mankowitz, D. J. & Mannor, S. (2017), A deep hierarchical approach to lifelong learning in Minecraft, AAAI’17, San Francisco, CA
2017
Later among the works it cites.
Zenke, F., Gerstner, W. & Ganguli, S. (2017), ‘The temporal paradox of hebbian learning and homeostatic plasticity’, Neurobiology
2017
Later among the works it cites.
Zenke, F., Poole, B. & Ganguli, S. (2017), Continual learning through synaptic intelligence, ICML’17, Sydney, Australia
2017
Later among the works it cites.
Boldrini, M., Fulmore, C., Tartt, A., Simeon, L. & Pavlova, I. e. a. (2018), ‘Human hippocampal neurogenesis persists throughout aging’, Cell Stem Cell
2018
Closest in time.
Jung, H., Ju, J., Jung, M. & Kim, J. (2018), Less-forgetting learning in deep neural networks, AAAI’18, New Orleans, LA
2018
Closest in time.
2018
Closest in time.
Kemker, R. & Kanan, C. (2018), Fearnet: Brain-inspired model for incremental learning, ICLR’18, Vancouver, Canada
2018
Closest in time.
Kemker, R., McClure, M., Abitino, A., Hayes, T. & Kanan, C. (2018), Measuring catastrophic forgetting in neural networks, AAAI’18, New Orleans, LA
2018
Closest in time.
2018
Closest in time.
Mici, L., Parisi, G. I. & Wermter, S. (2018), ‘A self-organizing neural network architecture for learning human-object interactions’, Neurocomputing
2018
Closest in time.
2018
Closest in time.
Parisi, G., Ji, X. & Wermter, S. (2018), On the role of neurogenesis in overcoming catastrophic forgetting., NIPS’18, Workshop on Continual Learning, Montreal, Canada
2018
Closest in time.
2018
Closest in time.
Sorrells, S. F., Paredes, M. F., Arantxa, C.-S., Sandoval, K., Dashi, Q. & Kelley, K. W. e. a. (2018), ‘Human hippocampal neurogenesis drops sharply in children to undetectable levels in adults’, Nature
2018
Closest in time.
Yoon, J., Yang, E. & Lee, J. Hwang, S. J. (2018), Lifelong learning with dynamically expandable networks, ICLR’18, Vancouver, Canada
2018
Closest in time.