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