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Learning-related feedforward inhibitory connectivity growth required for memory precision

Author

Listed:
  • Sarah Ruediger

    (Friedrich Miescher Institute, Maulbeerstrasse 66)

  • Claudia Vittori

    (Friedrich Miescher Institute, Maulbeerstrasse 66
    C.so Raffaello 30)

  • Ewa Bednarek

    (Friedrich Miescher Institute, Maulbeerstrasse 66)

  • Christel Genoud

    (Friedrich Miescher Institute, Maulbeerstrasse 66)

  • Piergiorgio Strata

    (C.so Raffaello 30)

  • Benedetto Sacchetti

    (C.so Raffaello 30)

  • Pico Caroni

    (Friedrich Miescher Institute, Maulbeerstrasse 66)

Abstract

Memories made with precision Learning and memory tasks are associated with the addition of new synapses in the brain, but the function of this structural plasticity is not clear. A study of the rearrangement of circuits within the hippocampus and cerebellum in response to learning reveals a robust, long-lasting and reversible increase in the number of synapses that trigger feedforward inhibition. This synapse growth has a vital role in maintaining the precision of the memory and the learned behaviour.

Suggested Citation

  • Sarah Ruediger & Claudia Vittori & Ewa Bednarek & Christel Genoud & Piergiorgio Strata & Benedetto Sacchetti & Pico Caroni, 2011. "Learning-related feedforward inhibitory connectivity growth required for memory precision," Nature, Nature, vol. 473(7348), pages 514-518, May.
    • Handle: RePEc:nat:nature:v:473:y:2011:i:7348:d:10.1038_nature09946
    DOI: 10.1038/nature09946
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    Cited by:

    1. Matthias Griebel & Dennis Segebarth & Nikolai Stein & Nina Schukraft & Philip Tovote & Robert Blum & Christoph M. Flath, 2023. "Deep learning-enabled segmentation of ambiguous bioimages with deepflash2," Nature Communications, Nature, vol. 14(1), pages 1-14, December.

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