Chapter 8 recurrent associative networks and episodic memory
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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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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

Memory classification scheme (Squire)


Auto associative memory and the hippocampus

Auto-associative memory and the hippocampus

David Marr:

Simple memory: a theory for archicortex, 1971


Point attractor neural network ann

Point attractor neural network (ANN)


Ann cont m

ann_cont.m


Ann fixpoint m

ann_fixpoint.m


Memory breakdown

Memory breakdown


Probabilistic rnn

Probabilistic RNN


Phase diagram

Phase diagram


Noisy weights and diluted attractor networks

Noisy weights and diluted attractor networks


How o minimize interference between patterns

How o minimize interference between patterns?


Expansion re coding e g dentate gyrus

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


Sparse patterns

Sparse patterns


Three nodes with and coupling lorenz attractor

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


Cohen grossberg theorem

Cohen-Grossberg theorem


Recurrent networks with non symmetric weights

Recurrent networks with non-symmetric weights


Further readings

Further readings


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