Simulation of chaotic EEG patterns with a dynamic model of the olfactory system
Biological Cybernetics
1994 Special Issue: A model of hippocampal function
Neural Networks - Special issue: models of neurodynamics and behavior
The role of the hippocampus in solving the Morris water maze
Neural Computation
Neuromodulation, theta rhythm and rat spatial navigation
Neural Networks - Computational models of neuromodulation
Memory encoding by theta phase precession in the hippocampal network
Neural Computation
A model of spatial map formation in the hippocampus of the rat
Neural Computation
Context-Dependent Adaptive Behavior Generated in the Theta Phase Coding Network
Neural Information Processing
Dynamic Brain - from Neural Spikes to Behaviors
Biomimetic approach to tacit learning based on compound control
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Disambiguation in spatial navigation with theta phase coding
Neurocomputing
ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
Simulation of human episodic memory by using a computational model of the hippocampus
Advances in Artificial Intelligence - Special issue on artificial intelligence in neuroscience and systems biology: lessons learnt, open problems, and the road ahead
How reward can induce reverse replay of behavioral sequences in the hippocampus
ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I
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The rodent hippocampus has been thought to represent the spatial environment as a cognitive map. The associative connections in the hippocampus imply that a neural entity represents the map as a geometrical network of hippocampal cells in terms of a chart. According to recent experimental observations, the cells fire successively relative to the theta oscillation of the local field potential, called theta phase precession, when the animal is running. This observation suggests the learning of temporal sequences with asymmetric connections in the hippocampus, but it also gives rather inconsistent implications on the formation of the chart that should consist of symmetric connections for space coding.In this study, we hypothesize that the chart is generated with theta phase coding through the integration of asymmetric connections. Our computer experiments use a hippocampal network model to demonstrate that a geometrical network is formed through running experiences in a few minutes. Asymmetric connections are found to remain and distribute heterogeneously in the network. The obtained network exhibits the spatial localization of activities at each instance as the chart does and their propagation that represents behavioral motions with multidirectional properties. We conclude that theta phase precession and the Hebbian rule with a time delay can provide the neural principles for learning the cognitive map.