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The ability to learn tasks in a sequential fashion is crucial to the development of artificial intelligence.
The fréchet distance between multivariate normal distributions
DC Dowson and BV Landau · 1982
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Catastrophic interference in connectionist networks: The sequential learning problem
Michael McCloskey and Neal J Cohen · 1989
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Theory of the backpropagation neural network
Robert H. Nielsen · 1989
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Connectionist models of recognition memory: constraints imposed by learning and forgetting functions
Roger Ratcliff · 1990
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A practical bayesian framework for backpropagation networks
David JC MacKay · 1992
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Uniqueness of the weights for minimal feedforward nets with a given input-output map
Héctor J. Sussmann · 1992
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Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory
James L McClelland, Bruce L McNaughton, and Randall C O’Reilly · 1995
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The mnist database of handwritten digits, 1998
Yann LeCun, Corinna Cortes, and Christopher JC Burges · 1998
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Child: A first step towards continual learning
Mark B Ring · 1998
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Catastrophic forgetting in connectionist networks
Robert M French · 1999
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An integrative theory of prefrontal cortex function
Earl K Miller and Jonathan D Cohen · 2001
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Multiple model-based reinforcement learning
Kenji Doya, Kazuyuki Samejima, Ken-ichi Katagiri, and Mitsuo Kawato · 2002
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Using noise to compute error surfaces in connectionist networks: a novel means of reducing catastrophic forgetting
Robert M French and Nick Chater · 2002
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Laplace propagation
Eleazar Eskin, Alex J. Smola, and S.v.n. Vishwanathan · 2004
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Cascade models of synaptically stored memories
Stefano Fusi, Patrick J Drew, and LF Abbott · 2005
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Making working memory work: a computational model of learning in the prefrontal cortex and basal ganglia
Randall C O’Reilly and Michael J Frank · 2006
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Universal intelligence: A definition of machine intelligence
Shane Legg and Marcus Hutter · 2007
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Tag-trigger-consolidation: a model of early and late long-term-potentiation and depression
Claudia Clopath, Lorric Ziegler, Eleni Vasilaki, Lars Büsing, and Wulfram Gerstner · 2008
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Stably maintained dendritic spines are associated with lifelong memories
Guang Yang, Feng Pan, and Wen-Biao Gan · 2009
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Synapses with short-term plasticity are optimal estimators of presynaptic membrane potentials
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Ian J Goodfellow, Mehdi Mirza, Da Xiao, Aaron Courville, and Yoshua Bengio · 2014
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Sleep promotes branch-specific formation of dendritic spines after learning
Guang Yang, Cora Sau Wan Lai, Joseph Cichon, Lei Ma, Wei Li, and Wen-Biao Gan · 2014
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Laurence Aitchison and Peter E Latham · 2015
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Weight uncertainty in neural network
Charles Blundell, Julien Cornebise, Koray Kavukcuoglu, and Daan Wierstra · 2015
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Branch-specific dendritic ca2+ spikes cause persistent synaptic plasticity
Joseph Cichon and Wen-Biao Gan · 2015
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Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
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Labelling and optical erasure of synaptic memory traces in the motor cortex
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Human-level control through deep reinforcement learning
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