Visual and motor signatures of locomotion dynamically shape apopulation code for feature detection in Drosophila

Abstract

Natural vision is dynamic: as an animal moves, its visual input changes dramatically. How can the visual system reliably extract local features from an input dominated by self-generated signals? In Drosophila, diverse local visual features are represented by a group of projection neurons with distinct tuning properties. Here we describe a connectome-based volumetric imaging strategy to measure visually evoked neural activity across this population. We show that local visual features are jointly represented across the population, and that a shared gain factor improves trial-to-trial coding fidelity. A subset of these neurons, tuned to small objects, is modulated by two independent signals associated with self-movement, a motor-related signal and a visual motion signal associated with rotation of the animal. These two inputs adjust the sensitivity of these feature detectors across the locomotor cycle, selectively reducing their gain during saccades and restoring it during intersaccadic intervals. This work reveals a strategy for reliable feature detection during locomotion.

Data availability

All software and code is available on GitHub. Main analysis, modeling and figure generation code can be found here: https://github.com/mhturner/glom_pop; Visual stimulus code can be found here: https://github.com/ClandininLab/visanalysis and here: https://github.com/ClandininLab/flystim. Extracted ROI responses and associated stimulus metadata, along with raw imaging data, can be found in a Dryad repository here: https://doi.org/10.5061/dryad.h44j0zpp8.

The following data sets were generated

Article and author information

Author details

  1. Maxwell H Turner

    Department of Neurobiology, Stanford University, Stanford, United States
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-4164-9995
  2. Avery Krieger

    Department of Neurobiology, Stanford University, Stanford, United States
    Competing interests
    The authors declare that no competing interests exist.
  3. Michelle M Pang

    Department of Neurobiology, Stanford University, Stanford, United States
    Competing interests
    The authors declare that no competing interests exist.
  4. Thomas R Clandinin

    Department of Neurobiology, Stanford University, Stanford, United States
    For correspondence
    trc@stanford.edu
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-6277-6849

Funding

National Institutes of Health (F32-MH118707)

  • Maxwell H Turner

National Institutes of Health (K99-EY032549)

  • Maxwell H Turner

National Institutes of Health (R01-EY022638)

  • Thomas R Clandinin

National Institutes of Health (R01NS110060)

  • Thomas R Clandinin

National Science Foundation (GRFP)

  • Avery Krieger

National Defense Science and Engineering Graduate (Fellowship)

  • Michelle M Pang

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Reviewing Editor

  1. Matthieu Louis, University of California, Santa Barbara, United States

Version history

  1. Preprint posted: July 14, 2022 (view preprint)
  2. Received: August 10, 2022
  3. Accepted: October 25, 2022
  4. Accepted Manuscript published: October 27, 2022 (version 1)
  5. Accepted Manuscript updated: October 28, 2022 (version 2)
  6. Version of Record published: November 11, 2022 (version 3)

Copyright

© 2022, Turner et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 1,819
    views
  • 221
    downloads
  • 17
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Maxwell H Turner
  2. Avery Krieger
  3. Michelle M Pang
  4. Thomas R Clandinin
(2022)
Visual and motor signatures of locomotion dynamically shape apopulation code for feature detection in Drosophila
eLife 11:e82587.
https://doi.org/10.7554/eLife.82587

Share this article

https://doi.org/10.7554/eLife.82587

Further reading

    1. Neuroscience
    Alexandra L Jellinger, Rebecca L Suthard ... Steve Ramirez
    Research Article

    Negative memories engage a brain and body-wide stress response in humans that can alter cognition and behavior. Prolonged stress responses induce maladaptive cellular, circuit, and systems-level changes that can lead to pathological brain states and corresponding disorders in which mood and memory are affected. However, it is unclear if repeated activation of cells processing negative memories induces similar phenotypes in mice. In this study, we used an activity-dependent tagging method to access neuronal ensembles and assess their molecular characteristics. Sequencing memory engrams in mice revealed that positive (male-to-female exposure) and negative (foot shock) cells upregulated genes linked to anti- and pro-inflammatory responses, respectively. To investigate the impact of persistent activation of negative engrams, we chemogenetically activated them in the ventral hippocampus over 3 months and conducted anxiety and memory-related tests. Negative engram activation increased anxiety behaviors in both 6- and 14-month-old mice, reduced spatial working memory in older mice, impaired fear extinction in younger mice, and heightened fear generalization in both age groups. Immunohistochemistry revealed changes in microglial and astrocytic structure and number in the hippocampus. In summary, repeated activation of negative memories induces lasting cellular and behavioral abnormalities in mice, offering insights into the negative effects of chronic negative thinking-like behaviors on human health.

    1. Neuroscience
    Alexandra H Leighton, Juliette E Cheyne, Christian Lohmann
    Research Article

    Synaptic inputs to cortical neurons are highly structured in adult sensory systems, such that neighboring synapses along dendrites are activated by similar stimuli. This organization of synaptic inputs, called synaptic clustering, is required for high-fidelity signal processing, and clustered synapses can already be observed before eye opening. However, how clustered inputs emerge during development is unknown. Here, we employed concurrent in vivo whole-cell patch-clamp and dendritic calcium imaging to map spontaneous synaptic inputs to dendrites of layer 2/3 neurons in the mouse primary visual cortex during the second postnatal week until eye opening. We found that the number of functional synapses and the frequency of transmission events increase several fold during this developmental period. At the beginning of the second postnatal week, synapses assemble specifically in confined dendritic segments, whereas other segments are devoid of synapses. By the end of the second postnatal week, just before eye opening, dendrites are almost entirely covered by domains of co-active synapses. Finally, co-activity with their neighbor synapses correlates with synaptic stabilization and potentiation. Thus, clustered synapses form in distinct functional domains presumably to equip dendrites with computational modules for high-capacity sensory processing when the eyes open.