Related Experiment Video
Updated: Oct 13, 2026

A Lateralized Odor Learning Model in Neonatal Rats for Dissecting Neural Circuitry Underpinning Memory Formation
Published on: August 18, 2014
Nested-Clique Network Model of Neural Associative Memory
Asieh Abolpour Mofrad1, Matthew G Parker2
1Selmer Center, Department of Informatics, University of Bergen, Bergen 5020, Norway Asieh.Mofrad@uib.no.
Abstract:
Clique-based neural associative memories introduced by Gripon and Berrou (GB), have been shown to have good performance, and in our previous work we improved the learning capacity and retrieval rate by local coding and precoding in the presence of partial erasures. We now take a step forward and consider nested-clique graph structures for the network. The GB model stores patterns as small cliques, and we here replace these by nested cliques. Simulation results show that the nested-clique structure enhances the clique-based model.
Related Concept Videos
Neural Circuits
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
Higher Mental Functions of Brain: Learning and Memory
Associative Learning
Classical conditioning, also known...
Storage
Implicit Memories
One key aspect of implicit...
Cognitive Neuroscience Approach

