Chapter 8: Recurrent associative networks and episodic memory

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Presentation transcript:

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

Memory classification scheme (Squire)

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

Point attractor neural network (ANN)

ann_cont.m

ann_fixpoint.m

Memory breakdown

Probabilistic RNN

Phase diagram

Noisy weights and diluted attractor networks

How o minimize interference between patterns?

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

Sparse patterns

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

Cohen-Grossberg theorem

Recurrent networks with non-symmetric weights

Further readings