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Cellular tagging as a neural network mechanism for behavioural tagging

Author

Listed:
  • Masanori Nomoto

    (Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama
    CREST, JST, University of Toyama)

  • Noriaki Ohkawa

    (Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama
    CREST, JST, University of Toyama)

  • Hirofumi Nishizono

    (CREST, JST, University of Toyama
    Life Science Research Center, University of Toyama)

  • Jun Yokose

    (Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama
    CREST, JST, University of Toyama)

  • Akinobu Suzuki

    (Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama
    CREST, JST, University of Toyama)

  • Mina Matsuo

    (Life Science Research Center, University of Toyama)

  • Shuhei Tsujimura

    (Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama
    CREST, JST, University of Toyama)

  • Yukari Takahashi

    (Jikei University School of Medicine)

  • Masashi Nagase

    (Jikei University School of Medicine)

  • Ayako M. Watabe

    (Jikei University School of Medicine)

  • Fusao Kato

    (Jikei University School of Medicine)

  • Kaoru Inokuchi

    (Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama
    CREST, JST, University of Toyama)

Abstract

Behavioural tagging is the transformation of a short-term memory, induced by a weak experience, into a long-term memory (LTM) due to the temporal association with a novel experience. The mechanism by which neuronal ensembles, each carrying a memory engram of one of the experiences, interact to achieve behavioural tagging is unknown. Here we show that retrieval of a LTM formed by behavioural tagging of a weak experience depends on the degree of overlap with the neuronal ensemble corresponding to a novel experience. The numbers of neurons activated by weak training in a novel object recognition (NOR) task and by a novel context exploration (NCE) task, denoted as overlapping neurons, increases in the hippocampal CA1 when behavioural tagging is successfully achieved. Optical silencing of an NCE-related ensemble suppresses NOR–LTM retrieval. Thus, a population of cells recruited by NOR is tagged and then preferentially incorporated into the memory trace for NCE to achieve behavioural tagging.

Suggested Citation

  • Masanori Nomoto & Noriaki Ohkawa & Hirofumi Nishizono & Jun Yokose & Akinobu Suzuki & Mina Matsuo & Shuhei Tsujimura & Yukari Takahashi & Masashi Nagase & Ayako M. Watabe & Fusao Kato & Kaoru Inokuchi, 2016. "Cellular tagging as a neural network mechanism for behavioural tagging," Nature Communications, Nature, vol. 7(1), pages 1-11, November.
    • Handle: RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms12319
    DOI: 10.1038/ncomms12319
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    Cited by:

    1. Akinobu Suzuki & Sakurako Kosugi & Emi Murayama & Eri Sasakawa & Noriaki Ohkawa & Ayumu Konno & Hirokazu Hirai & Kaoru Inokuchi, 2022. "A cortical cell ensemble in the posterior parietal cortex controls past experience-dependent memory updating," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    2. Khaled Ghandour & Tatsuya Haga & Noriaki Ohkawa & Chi Chung Alan Fung & Masanori Nomoto & Mostafa R. Fayed & Hirotaka Asai & Masaaki Sato & Tomoki Fukai & Kaoru Inokuchi, 2025. "Parallel processing of past and future memories through reactivation and synaptic plasticity mechanisms during sleep," Nature Communications, Nature, vol. 16(1), pages 1-19, December.
    3. Masanori Nomoto & Emi Murayama & Shuntaro Ohno & Reiko Okubo-Suzuki & Shin-ichi Muramatsu & Kaoru Inokuchi, 2022. "Hippocampus as a sorter and reverberatory integrator of sensory inputs," Nature Communications, Nature, vol. 13(1), pages 1-15, December.

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