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Memory of Reading Literature in a Hippocampal Network Model Based on Theta Phase Coding

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9949))

Abstract

Using computer simulations, the authors have demonstrated that temporal compression based on theta phase coding in the hippocampus is essential for the encoding of episodic memory occurring on a behavioral timescale (> a few seconds). In this study, the memory of reading literature was evaluated using a network model based on theta phase coding. Input was derived from an eye movement sequence during reading and each fixated word was encoded by a vector computed from a statistical language model with a large text corpus. The results successfully demonstrated a memory generated by a word sequence during a 6-min reading session and this suggests a general role for theta phase coding in the formation of episodic memory.

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Acknowledgments

This work was supported by JSPS KAKENHI Grant Number 26540069.

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Correspondence to Naoyuki Sato .

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© 2016 Springer International Publishing AG

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Sato, N. (2016). Memory of Reading Literature in a Hippocampal Network Model Based on Theta Phase Coding. In: Hirose, A., Ozawa, S., Doya, K., Ikeda, K., Lee, M., Liu, D. (eds) Neural Information Processing. ICONIP 2016. Lecture Notes in Computer Science(), vol 9949. Springer, Cham. https://doi.org/10.1007/978-3-319-46675-0_7

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  • DOI: https://doi.org/10.1007/978-3-319-46675-0_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46674-3

  • Online ISBN: 978-3-319-46675-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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