Pseudopatterns and dual-network memory models: Advantages and shortcomings

Author:

French Robert M.,Ans Bernard,Rousset Stéphane

Publisher

Springer London

Reference24 articles.

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2. Ans, B., & Rousset, S. (2000). Neural Networks with a Self-Refreshing Memory: Knowledge Transfer in Sequential Learning Tasks without Catastrophic Forgetting. Connection Sciences, 12, 1,1–19

3. Cohen, J. J., & Eichenbaum, H. (1993). Memory, amnesia, and the Hippocampal System. Cambridge: MIT Press.

4. Frean, M., & Robins, A. (1998). Catastrophic forgetting and “pseudorehearsal” in linear networks. In Downs T, Frean M., & Gallagher M (Eds.) Proc. of the 9th Australian Conference on Neural Networks, 173–178, Brisbane: U. of Queensland

5. French, R. M., & Mareschal, D. (1998). Could Category-Specific Semantic Deficits Reflect Differences in the Distributions of Features Within a Unified Semantic Memory? In Proceedings of the Twentieth Annual Cognitive Science Society Conference. NJ:LEA. 374–379.

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