Associative memory plays an important role in human intelligence and its mechanisms have
been linked to attention in machine learning. While the machine learning community's …

This paper presents a deep associative neural network (DANN) based on unsupervised
representation learning for associative memory. In brain, the knowledge is learnt by …

Dense Associative Memories or Modern Hopfield Networks have many appealing properties
of associative memory. They can do pattern completion, store a large number of memories …

Associative memories in the brain receive and store patterns of activity registered by the
sensory neurons, and are able to retrieve them when necessary. Due to their importance in …

Recently, many researches on associative memories have been made a lot of neural
network models have been proposed. Bidirectional Associative Memory (BAM) is one of …

Heretofore, neural networks with external memory are restricted to single memory with lossy
representations of memory interactions. A rich representation of relationships between …

Complex-valued associative memory (CAM) can store multi-level patterns. Dynamic
complex-valued associative memory (DCAM) can recall all stored patterns. The CAM stores …

Despite recent progress in memory augmented neural network (MANN) research,
associative memory networks with a single external memory still show limited performance …

A large number of neural network models of associative memory have been proposed in the
literature. These include the classical Hopfield networks (HNs), sparse distributed memories …

Learning to remember long sequences remains a challenging task for recurrent neural
networks. Register memory and attention mechanisms were both proposed to resolve the …