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Chapter 8: Recurrent associative networks and episodic memory

Chapter 8: Recurrent associative networks and episodic memory. Fundamentals of Computational Neuroscience. Dec 09. Memory classification scheme (Squire). Auto-associative memory and the hippocampus. David Marr: Simple memory: a theory for archicortex, 1971.

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Chapter 8: Recurrent associative networks and episodic memory

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  1. Chapter 8: Recurrent associative networks and episodic memory Fundamentals of Computational Neuroscience Dec 09

  2. Memory classification scheme (Squire)

  3. Auto-associative memory and the hippocampus David Marr: Simple memory: a theory for archicortex, 1971

  4. Point attractor neural network (ANN)

  5. ann_cont.m

  6. ann_fixpoint.m

  7. Memory breakdown

  8. Probabilistic RNN

  9. Phase diagram

  10. Noisy weights and diluted attractor networks

  11. How o minimize interference between patterns?

  12. Expansion re-coding (e.g. dentate gyrus)

  13. Sparse patterns

  14. Three nodes with  and -  coupling: Lorenz attractor

  15. Cohen-Grossberg theorem

  16. Recurrent networks with non-symmetric weights

  17. Further readings

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