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Author Correction: Stimulus-dependent representational drift in primary visual cortex

Author

Listed:
  • Tyler D. Marks

    (University of California)

  • Michael J. Goard

    (University of California
    University of California
    University of California)

Abstract

No abstract is available for this item.

Suggested Citation

  • Tyler D. Marks & Michael J. Goard, 2021. "Author Correction: Stimulus-dependent representational drift in primary visual cortex," Nature Communications, Nature, vol. 12(1), pages 1-1, December.
    • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-25825-8
    DOI: 10.1038/s41467-021-25825-8
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    Citations

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    Cited by:

    1. Luis M. Franco & Michael J. Goard, 2024. "Differential stability of task variable representations in retrosplenial cortex," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    2. Hannah Muysers & Hung-Ling Chen & Johannes Hahn & Shani Folschweiller & Torfi Sigurdsson & Jonas-Frederic Sauer & Marlene Bartos, 2024. "A persistent prefrontal reference frame across time and task rules," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    3. Zvi N. Roth & Elisha P. Merriam, 2023. "Representations in human primary visual cortex drift over time," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    4. Han Chin Wang & Amy M. LeMessurier & Daniel E. Feldman, 2022. "Tuning instability of non-columnar neurons in the salt-and-pepper whisker map in somatosensory cortex," Nature Communications, Nature, vol. 13(1), pages 1-18, December.
    5. Ravi Pancholi & Lauren Ryan & Simon Peron, 2023. "Learning in a sensory cortical microstimulation task is associated with elevated representational stability," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    6. Joel Bauer & Uwe Lewin & Elizabeth Herbert & Julijana Gjorgjieva & Carl E. Schoonover & Andrew J. P. Fink & Tobias Rose & Tobias Bonhoeffer & Mark Hübener, 2024. "Sensory experience steers representational drift in mouse visual cortex," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    7. Christoph Stöckl & Yukun Yang & Wolfgang Maass, 2024. "Local prediction-learning in high-dimensional spaces enables neural networks to plan," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    8. Percy K. Mistry & Anthony Strock & Ruizhe Liu & Griffin Young & Vinod Menon, 2023. "Learning-induced reorganization of number neurons and emergence of numerical representations in a biologically inspired neural network," Nature Communications, Nature, vol. 14(1), pages 1-21, December.

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