NDLI: A neural network model self-organizing a cognitive map using theta phase precession

Content Provider	IEEE Xplore Digital Library
Author	Wagatsuma, H. Yamaguchi, Y.
Copyright Year	1999
Description	Author affiliation: Dept. of Inf. Sci., Tokyo Denki Univ., Saitama, Japan (Wagatsuma, H.)
Abstract	The cognitive map is thought to consist of place cells in the hippocampus. We hypothesize that "theta phase precession", a characteristic relation between the firing of the place cell and local field theta rhythm, contributes to the generation of the cognitive map as a network of place cells. We propose a network model of the hippocampus based on the hypothesis. In our model, the entorhinal cortex (EC) receives sensory-inputs of local views. The dynamic pattern of theta phase precession is generated by mutual synchronization of neural oscillators in the EC. In CA3, neural units receive inputs from the EC and the cognitive map is self-organized in the recurrent neural network. In the computer experiments, inheritance of theta phase precession in CA3 results in a kind of phase wave propagating along a 2-D plane. The 2-D plane is define as the desired array of place cells in accordance with their place fields. The wave propagation deriving from theta phase precession globally controls the synaptic modification among place cells so that their network is self-organized as the cognitive map.
Starting Page	199
Ending Page	204
File Size	503427
Page Count	6
File Format	PDF
ISBN	0780357310
ISSN	1062922X
DOI	10.1109/ICSMC.1999.823178
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-10-12
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Hippocampus Fires Rhythm Robustness Brain modeling Biological neural networks Educational institutions Information systems Character generation
Content Type	Text
Resource Type	Article

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