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acknowledgement: We thank the Allen Institute founder, Paul G. Allen, for his vision,
  encouragement, and support; Allan Jones for providing the crucial environment that
  enabled our large-scale team effort; Andrew Haun for helpful comments and assistance
  with creating the noise stimulus; Jonathan Lang for assistance filming the naturalistic
  stimuli; and Larissa Albantakis, Leonardo S. Barbosa, Tom Bugnon, Graham Findlay,
  Marcello Massimini, and Shuntaro Sasai for helpful discussions.
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  - name: microscopy approach; cell population imaging
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  - name: behavioral approach
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    name: Neurodata Without Borders (NWB)
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  - name: behavioral technique
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citation: Lecoq, Jerome; Mayner, Will (2023) Allen Institute Openscope - Measuring
  Stimulus-Evoked Neurophysiological Differentiation in Distinct Populations of Neurons
  in Mouse Visual Cortex (Version 0.230515.1917) [Data set]. DANDI archive. https://doi.org/10.48324/dandi.000036/0.230515.1917
contributor:
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  email: jeromel@alleninstitute.org
  identifier: 0000-0002-0131-0938
  includeInCitation: true
  name: Lecoq, Jerome
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  - dcite:Methodology
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  url: https://alleninstitute.org/person/jerome-lecoq/
- affiliation: []
  email: wmayner@gmail.com
  identifier: 0000-0002-9737-6260
  includeInCitation: true
  name: Mayner, Will
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  url: http://willmayner.com
dateCreated: '2020-08-18T08:05:48.731000+00:00'
datePublished: '2023-05-15T19:17:45.768158+00:00'
description: 'Despite significant progress in understanding neural coding, it remains
  unclear how the coordinated activity of large populations of neurons relates to
  what an observer actually perceives. Since neurophysiological differences must underlie
  differences among percepts, differentiation analysis-quantifying distinct patterns
  of neurophysiological activity-has been proposed as an "inside-out" approach that
  addresses this question. This methodology contrasts with "outside-in" approaches
  such as feature tuning and decoding analyses, which are defined in terms of extrinsic
  experimental variables. Here, we used two-photon calcium imaging in mice of both
  sexes to systematically survey stimulus-evoked neurophysiological differentiation
  (ND) in excitatory neuronal populations in layers (L)2/3, L4, and L5 across five
  visual cortical areas (primary, lateromedial, anterolateral, posteromedial, and
  anteromedial) in response to naturalistic and phase-scrambled movie stimuli. We
  find that unscrambled stimuli evoke greater ND than scrambled stimuli specifically
  in L2/3 of the anterolateral and anteromedial areas, and that this effect is modulated
  by arousal state and locomotion. By contrast, decoding performance was far above
  chance and did not vary substantially across areas and layers. Differentiation also
  differed within the unscrambled stimulus set, suggesting that differentiation analysis
  may be used to probe the ethological relevance of individual stimuli.


  For more details, consult the associated publication : https://doi.org/10.1523/eneuro.0280-21.2021'
doi: 10.48324/dandi.000036/0.230515.1917
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id: DANDI:000036/0.230515.1917
identifier: DANDI:000036
keywords:
- two photon imaging
- visual stimuli
- mice
- openscope
license:
- spdx:CC-BY-4.0
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name: Allen Institute Openscope - Measuring Stimulus-Evoked Neurophysiological Differentiation
  in Distinct Populations of Neurons in Mouse Visual Cortex
protocol: []
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    version: 0.1.0
relatedResource:
- identifier: 10.1523/eneuro.0280-21.2021
  name: Measuring Stimulus-Evoked Neurophysiological Differentiation in Distinct Populations
    of Neurons in Mouse Visual Cortex
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  repository: eNeuro
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  url: https://doi.org/10.1523/eneuro.0280-21.2021
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url: https://dandiarchive.org/dandiset/000036/0.230515.1917
version: 0.230515.1917
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