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Original Articles

Consolidation in Neural Networks and in the Sleeping Brain

Pages 259-276 | Published online: 01 Jul 2010

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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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Bernard Ans, Stéphane Rousset, Robert M. French & Serban Musca. (2004) Self-refreshing memory in artificial neural networks: learning temporal sequences without catastrophic forgetting. Connection Science 16:2, pages 71-99.
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Marcus Frean & Anthony Robins. (1999) Catastrophic forgetting in simple networks: an analysis of the pseudorehearsal solution. Network: Computation in Neural Systems 10:3, pages 227-236.
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Peter Jedlicka, Matus Tomko, Anthony Robins & Wickliffe C. Abraham. (2023) Contributions by metaplasticity to solving the Catastrophic Forgetting Problem. Trends in Neurosciences.
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Lucia M. Talamini, Dirk van Moorselaar, Richard Bakker, Máté Bulath, Steffie Szegedi, Mohammadamin Sinichi & Marieke De Boer. (2022) No evidence for a preferential role of sleep in episodic memory abstraction. Frontiers in Neuroscience 16.
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Peter Jedlicka, Matus Tomko, Anthony Robins & Wickliffe C. Abraham. (2022) Contributions by metaplasticity to solving the Catastrophic Forgetting Problem. Trends in Neurosciences 45:9, pages 656-666.
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Dimitrios Kaklis, Iraklis Varlamis, George Giannakopoulos, Constantine Spyropoulos & Takis J. Varelas. (2022) Online Training for Fuel Oil Consumption Estimation: A Data Driven Approach. Online Training for Fuel Oil Consumption Estimation: A Data Driven Approach.
Amr Mahmoud & Mohamed Zohdy. (2022) Dynamic Lyapunov Machine Learning Control of Nonlinear Magnetic Levitation System. Energies 15:5, pages 1866.
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Diana Benavides-Prado, Chathura Wanigasekara & Akshya Swain. 2021. Artificial Neural Networks and Machine Learning – ICANN 2021. Artificial Neural Networks and Machine Learning – ICANN 2021 397 408 .
Daniel L. Silver & Sazia Mahfuz. (2020) Generating Accurate Pseudo Examples for Continual Learning. Generating Accurate Pseudo Examples for Continual Learning.
Anthony V. Robins, Lauren E. Margulieux & Briana B. Morrison. 2019. The Cambridge Handbook of Computing Education Research. The Cambridge Handbook of Computing Education Research 231 275 .
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Sazia Mahfuz. 2019. Advances in Artificial Intelligence. Advances in Artificial Intelligence 597 600 .
David Opresnik, Maurizio Fiasché, Marco Taisch & Manuel Hirsch. (2015) An evolving fuzzy inference system for extraction of rule set for planning a product–service strategy. Information Technology and Management 18:2, pages 131-147.
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Dharshan Kumaran, Demis Hassabis & James L. McClelland. (2016) What Learning Systems do Intelligent Agents Need? Complementary Learning Systems Theory Updated. Trends in Cognitive Sciences 20:7, pages 512-534.
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Daniel L. Silver, Geoffrey Mason & Lubna Eljabu. 2015. Advances in Artificial Intelligence. Advances in Artificial Intelligence 307 322 .
Yi Wei & Alexei A. Koulakov. (2014) Long-Term Memory Stabilized by Noise-Induced Rehearsal. The Journal of Neuroscience 34:47, pages 15804-15815.
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Sangwook Kim, Rammohan Mallipeddi & Minho Lee. (2014) Incremental face recognition using rehearsal and recall processes. Incremental face recognition using rehearsal and recall processes.
Maurizio Fiasché, Anju Verma, Maria Cuzzola, Francesco C. Morabito & Giuseppe Irrera. 2011. Engineering Applications of Neural Networks. Engineering Applications of Neural Networks 361 371 .
Анатолий Терехин, Елена Будилова, Лариса Качалова & Михаил Карпенко. (2009) Нейросетевое моделирование когнитивных функций мозга: обзор основных идей. Психологические исследования 2:4.
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Martijn Meeter & Jaap M. J. Murre. (2004) Consolidation of Long-Term Memory: Evidence and Alternatives.. Psychological Bulletin 130:6, pages 843-857.
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Nikola KasabovNikola Kasabov. 2003. Evolving Connectionist Systems. Evolving Connectionist Systems 7 30 .
A Sandberg & A Lansner. (2002) Synaptic depression as an intrinsic driver of reinstatement dynamics in an attractor network. Neurocomputing 44-46, pages 615-622.
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Robert M. French, Bernard Ans & Stéphane Rousset. 2001. Connectionist Models of Learning, Development and Evolution. Connectionist Models of Learning, Development and Evolution 13 22 .
A Robins & S McCallum. (1999) The consolidation of learning during sleep: comparing the pseudorehearsal and unlearning accounts. Neural Networks 12:7-8, pages 1191-1206.
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Marcus Frean & Anthony Robins. (1999) Catastrophic forgetting in simple networks: an analysis of the pseudorehearsal solution. Network: Computation in Neural Systems 10:3, pages 227-236.
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K.M Petersson, C Elfgren & M Ingvar. (1999) Dynamic changes in the functional anatomy of thehuman brain during recall of abstract designs related topractice. Neuropsychologia 37:5, pages 567-587.
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Karl Magnus Petersson, Christina Elfgren & Martin Ingvar. (1997) A Dynamic Role of the Medial Temporal Lobe during Retrieval of Declarative Memory in Man. NeuroImage 6:1, pages 1-11.
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A. Robins. (1997) Maintaining stability during new learning in neural networks. Maintaining stability during new learning in neural networks.
Lorien Pratt & Barbara Jennings. 1998. Learning to Learn. Learning to Learn 19 43 .

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