Methods for reducing interference in the Complementary Learning Systems model: Oscillating inhibition and autonomous memory rehearsal

@article{Norman2005MethodsFR,
  title={Methods for reducing interference in the Complementary Learning Systems model: Oscillating inhibition and autonomous memory rehearsal},
  author={Kenneth A. Norman and Ehren L. Newman and Adler J. Perotte},
  journal={Neural networks : the official journal of the International Neural Network Society},
  year={2005},
  volume={18 9},
  pages={1212-28}
}
The stability-plasticity problem (i.e. how the brain incorporates new information into its model of the world, while at the same time preserving existing knowledge) has been at the forefront of computational memory research for several decades. In this paper, we critically evaluate how well the Complementary Learning Systems theory of hippocampo-cortical interactions addresses the stability-plasticity problem. We identify two major challenges for the model: Finding a learning algorithm for… CONTINUE READING

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