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A sensory memory to preserve visual representations across eye movements

Author

Listed:
  • Amir Akbarian

    (University of Utah)

  • Kelsey Clark

    (University of Utah)

  • Behrad Noudoost

    (University of Utah)

  • Neda Nategh

    (University of Utah
    University of Utah)

Abstract

Saccadic eye movements (saccades) disrupt the continuous flow of visual information, yet our perception of the visual world remains uninterrupted. Here we assess the representation of the visual scene across saccades from single-trial spike trains of extrastriate visual areas, using a combined electrophysiology and statistical modeling approach. Using a model-based decoder we generate a high temporal resolution readout of visual information, and identify the specific changes in neurons’ spatiotemporal sensitivity that underly an integrated perisaccadic representation of visual space. Our results show that by maintaining a memory of the visual scene, extrastriate neurons produce an uninterrupted representation of the visual world. Extrastriate neurons exhibit a late response enhancement close to the time of saccade onset, which preserves the latest pre-saccadic information until the post-saccadic flow of retinal information resumes. These results show how our brain exploits available information to maintain a representation of the scene while visual inputs are disrupted.

Suggested Citation

  • Amir Akbarian & Kelsey Clark & Behrad Noudoost & Neda Nategh, 2021. "A sensory memory to preserve visual representations across eye movements," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-26756-0
    DOI: 10.1038/s41467-021-26756-0
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    References listed on IDEAS

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    1. Frank Bremmer & Jan Churan & Markus Lappe, 2017. "Heading representations in primates are compressed by saccades," Nature Communications, Nature, vol. 8(1), pages 1-13, December.
    2. Marc A. Sommer & Robert H. Wurtz, 2006. "Influence of the thalamus on spatial visual processing in frontal cortex," Nature, Nature, vol. 444(7117), pages 374-377, November.
    3. Behrad Noudoost & Tirin Moore, 2011. "Control of visual cortical signals by prefrontal dopamine," Nature, Nature, vol. 474(7351), pages 372-375, June.
    4. Sujaya Neupane & Daniel Guitton & Christopher C. Pack, 2016. "Two distinct types of remapping in primate cortical area V4," Nature Communications, Nature, vol. 7(1), pages 1-11, April.
    5. Marc Zirnsak & Nicholas A. Steinmetz & Behrad Noudoost & Kitty Z. Xu & Tirin Moore, 2014. "Visual space is compressed in prefrontal cortex before eye movements," Nature, Nature, vol. 507(7493), pages 504-507, March.
    6. Ana Calabrese & Joseph W Schumacher & David M Schneider & Liam Paninski & Sarah M N Woolley, 2011. "A Generalized Linear Model for Estimating Spectrotemporal Receptive Fields from Responses to Natural Sounds," PLOS ONE, Public Library of Science, vol. 6(1), pages 1-16, January.
    7. Yaser Merrikhi & Kelsey Clark & Eddy Albarran & Mohammadbagher Parsa & Marc Zirnsak & Tirin Moore & Behrad Noudoost, 2017. "Spatial working memory alters the efficacy of input to visual cortex," Nature Communications, Nature, vol. 8(1), pages 1-10, April.
    8. John Ross & M. Concetta Morrone & David C. Burr, 1997. "Compression of visual space before saccades," Nature, Nature, vol. 386(6625), pages 598-601, April.
    9. Jonathan W. Pillow & Jonathon Shlens & Liam Paninski & Alexander Sher & Alan M. Litke & E. J. Chichilnisky & Eero P. Simoncelli, 2008. "Spatio-temporal correlations and visual signalling in a complete neuronal population," Nature, Nature, vol. 454(7207), pages 995-999, August.
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    Cited by:

    1. Geyu Weng & Amir Akbarian & Kelsey Clark & Behrad Noudoost & Neda Nategh, 2024. "Neural correlates of perisaccadic visual mislocalization in extrastriate cortex," Nature Communications, Nature, vol. 15(1), pages 1-14, December.

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