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Connection Science Volume 16, 2004 - Issue 2
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Self-refreshing memory in artificial neural networks: learning temporal sequences without catastrophic forgetting

Bernard Ans Psychology and NeuroCognition, Pierre Mendes-France University, Grenoble 2—CNRS UMR 5105, BP 47, 38040, Grenoble cedex 09, France Phone: +33-476-825-674 Fax: +33-476-825-674 E-mail: [email protected]
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Stéphane Rousset Psychology and NeuroCognition, Pierre Mendes-France University, Grenoble 2—CNRS UMR 5105, BP 47, 38040, Grenoble cedex 09, France Phone: +33-476-825-674 Fax: +33-476-825-674 E-mail: [email protected]
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Robert M. French Quantitative Psychology and Cognitive Science, University of Liège, (Bat B32), Sart Tilman, 4000, Liège, Belgium
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Serban Musca Psychology and NeuroCognition, Pierre Mendes-France University, Grenoble 2—CNRS UMR 5105, BP 47, 38040, Grenoble cedex 09, France Phone: +33-476-825-674 Fax: +33-476-825-674 E-mail: [email protected]
Pages 71-99 | Published online: 21 Oct 2010

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Serban C. Musca, Miguel A. Vadillo, Fernando Blanco & Helena Matute. (2010) The role of cue information in the outcome-density effect: evidence from neural network simulations and a causal learning experiment. Connection Science 22:2, pages 177-192.
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Serban C. Musca, Stéphane Rousset & Bernard Ans. (2009) Artificial neural networks whispering to the brain: nonlinear system attractors induce familiarity with never seen items. Connection Science 21:4, pages 359-377.
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Articles from other publishers (21)

Jianzhao Liu, Wei Zhou, Xin Li, Jiahua Xu & Zhibo Chen. (2023) LIQA: Lifelong Blind Image Quality Assessment. IEEE Transactions on Multimedia 25, pages 5358-5373.
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Maisnam Niranjan Singh & Samitha Khaiyum. (2022) Reducing catastrophic forgetting problem in streaming data by Hybrid Shark Smell with Jaya Optimization-based Deep Neural Networks. International Journal of Modeling, Simulation, and Scientific Computing 13:04.
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Julien Pourcel, Ngoc-Son Vu & Robert M. French. 2022. Computer Vision – ECCV 2022. Computer Vision – ECCV 2022 739 756 .
Andrea Cossu, Antonio Carta, Vincenzo Lomonaco & Davide Bacciu. (2021) Continual learning for recurrent neural networks: An empirical evaluation. Neural Networks 143, pages 607-627.
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J. Adam Carter & Robert D. Rupert. (2020) Epistemic value in the subpersonal vale. Synthese 198:10, pages 9243-9272.
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Vithursan Thangarasa, Thomas Miconi & Graham W. Taylor. (2020) Enabling Continual Learning with Differentiable Hebbian Plasticity. Enabling Continual Learning with Differentiable Hebbian Plasticity.
Ali Ayub & Alan R. Wagner. (2020) Cognitively-Inspired Model for Incremental Learning Using a Few Examples. Cognitively-Inspired Model for Incremental Learning Using a Few Examples.
Yun Xiang, Yongbiao Miao, Jingyin Chen & Qi Xuan. (2020) Efficient Incremental Learning Using Dynamic Correction Vector. IEEE Access 8, pages 23090-23099.
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Dorothea Koert, Guilherme Maeda, Gerhard Neumann & Jan Pcters. (2018) Learning Coupled Forward-Inverse Models with Combined Prediction Errors. Learning Coupled Forward-Inverse Models with Combined Prediction Errors.
Zhiyuan Chen & Bing Liu. 2018. Lifelong Machine Learning. Lifelong Machine Learning.
Francisco M. Castro, Manuel J. Marín-Jiménez, Nicolás Guil, Cordelia Schmid & Karteek Alahari. 2018. Computer Vision – ECCV 2018. Computer Vision – ECCV 2018 241 257 .
Konstantin Shmelkov, Cordelia Schmid & Karteek Alahari. (2017) Incremental Learning of Object Detectors without Catastrophic Forgetting. Incremental Learning of Object Detectors without Catastrophic Forgetting.
Spyridon Samothrakis, Tom Vodopivec, Maria Fasli & Michael Fairbank. (2016) Match memory recurrent networks. Match memory recurrent networks.
Steven Gutstein & Ethan Stump. (2015) Reduction of catastrophic forgetting with transfer learning and ternary output codes. Reduction of catastrophic forgetting with transfer learning and ternary output codes.
Robert Coop, Aaron Mishtal & Itamar Arel. (2013) Ensemble Learning in Fixed Expansion Layer Networks for Mitigating Catastrophic Forgetting. IEEE Transactions on Neural Networks and Learning Systems 24:10, pages 1623-1634.
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Robert Coop & Itamar Arel. (2012) Mitigation of catastrophic interference in neural networks using a fixed expansion layer. Mitigation of catastrophic interference in neural networks using a fixed expansion layer.
Bollon Thierry, Paignon Adeline & Pansu Pascal. (2010) Learning the norm of internality: NetNorm, a connectionist model. European Journal of Psychology of Education 26:3, pages 303-317.
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Fiona M. Richardson & Michael S.C. Thomas. (2008) Critical periods and catastrophic interference effects in the development of self-organizing feature maps. Developmental Science 11:3, pages 371-389.
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. (2008) REFERENCES. Monographs of the Society for Research in Child Development 73:1, pages 101-109.
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Axel Tidemann. 2008. Agent and Multi-Agent Systems: Technologies and Applications. Agent and Multi-Agent Systems: Technologies and Applications 783 792 .
Axel Tidemann & Pinar Öztürk. 2007. New Trends in Applied Artificial Intelligence. New Trends in Applied Artificial Intelligence 291 302 .

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