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Feedforward and feedback interactions between visual cortical areas use different population activity patterns

Author

Listed:
  • João D. Semedo

    (Carnegie Mellon University)

  • Anna I. Jasper

    (Albert Einstein College of Medicine)

  • Amin Zandvakili

    (Albert Einstein College of Medicine)

  • Aravind Krishna

    (Albert Einstein College of Medicine)

  • Amir Aschner

    (Albert Einstein College of Medicine)

  • Christian K. Machens

    (Champalimaud Foundation)

  • Adam Kohn

    (Albert Einstein College of Medicine
    Albert Einstein College of Medicine
    Albert Einstein College of Medicine)

  • Byron M. Yu

    (Carnegie Mellon University
    Carnegie Mellon University)

Abstract

Brain function relies on the coordination of activity across multiple, recurrently connected brain areas. For instance, sensory information encoded in early sensory areas is relayed to, and further processed by, higher cortical areas and then fed back. However, the way in which feedforward and feedback signaling interact with one another is incompletely understood. Here we investigate this question by leveraging simultaneous neuronal population recordings in early and midlevel visual areas (V1–V2 and V1–V4). Using a dimensionality reduction approach, we find that population interactions are feedforward-dominated shortly after stimulus onset and feedback-dominated during spontaneous activity. The population activity patterns most correlated across areas were distinct during feedforward- and feedback-dominated periods. These results suggest that feedforward and feedback signaling rely on separate “channels”, which allows feedback signals to not directly affect activity that is fed forward.

Suggested Citation

  • João D. Semedo & Anna I. Jasper & Amin Zandvakili & Aravind Krishna & Amir Aschner & Christian K. Machens & Adam Kohn & Byron M. Yu, 2022. "Feedforward and feedback interactions between visual cortical areas use different population activity patterns," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-28552-w
    DOI: 10.1038/s41467-022-28552-w
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    References listed on IDEAS

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    Cited by:

    1. Edward A. B. Horrocks & Fabio R. Rodrigues & Aman B. Saleem, 2024. "Flexible neural population dynamics govern the speed and stability of sensory encoding in mouse visual cortex," Nature Communications, Nature, vol. 15(1), pages 1-23, December.
    2. Joao Barbosa & Rémi Proville & Chris C. Rodgers & Michael R. DeWeese & Srdjan Ostojic & Yves Boubenec, 2023. "Early selection of task-relevant features through population gating," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    3. Sara Borgomaneri & Marco Zanon & Paolo Di Luzio & Antonio Cataneo & Giorgio Arcara & Vincenzo Romei & Marco Tamietto & Alessio Avenanti, 2023. "Increasing associative plasticity in temporo-occipital back-projections improves visual perception of emotions," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    4. Toshiyuki Hirabayashi & Yuji Nagai & Yuki Hori & Yukiko Hori & Kei Oyama & Koki Mimura & Naohisa Miyakawa & Haruhiko Iwaoki & Ken-ichi Inoue & Tetsuya Suhara & Masahiko Takada & Makoto Higuchi & Takaf, 2024. "Multiscale chemogenetic dissection of fronto-temporal top-down regulation for object memory in primates," Nature Communications, Nature, vol. 15(1), pages 1-17, December.

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