Self-organizing continuous attractor networks and motor function
Neural Networks
Cognitive Map Formation Through Sequence Encoding by Theta Phase Precession
Neural Computation
2005 Special issue: Interpreting hippocampal function as recoding and forecasting
Neural Networks - Special issue: Computational theories of the functions of the hippocampus
Heteroassociations of spatio-temporal sequences with the bidirectional associative memory
IEEE Transactions on Neural Networks
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Biologically inspired neural networks which perform temporal sequence learning and generation are frequently based on hetero-associative memories. Recent work by Jensen and Lisman has suggested that a model which connects an auto-associator module to a hetero-associator module can perform this function. We modify this architecture in a simplified model which in contrast uses a pair of connected auto-associative networks with hetero-associatively trained synapses in one of the paths between them. We simulate both models, finding that accurate and robust recall of learned sequences can easily be performed with the modified model introduced here, strongly outperforming the previous architecture.