metadata.yaml

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access:
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  status: dandi:OpenAccess
assetsSummary:
  approach:
  - name: microscopy approach; cell population imaging
    schemaKey: ApproachType
  dataStandard:
  - identifier: RRID:SCR_015242
    name: Neurodata Without Borders (NWB)
    schemaKey: StandardsType
  measurementTechnique:
  - name: surgical technique
    schemaKey: MeasurementTechniqueType
  - name: two-photon microscopy technique
    schemaKey: MeasurementTechniqueType
  numberOfBytes: 745311363665
  numberOfFiles: 1278
  numberOfSubjects: 1188
  schemaKey: AssetsSummary
  species:
  - identifier: http://purl.obolibrary.org/obo/NCBITaxon_7227
    name: Drosophila melanogaster - Fruit fly
    schemaKey: SpeciesType
  variableMeasured:
  - ImagingPlane
  - OpticalChannel
  - TwoPhotonSeries
citation: Gonzalez, Aneysis (2022) Drosophila visual neural responses to stochastic
  stimuli (Version 0.220805.1724) [Data set]. DANDI archive. https://doi.org/10.48324/dandi.000296/0.220805.1724
contributor:
- affiliation: []
  email: aneysis.gonzalez@yale.edu
  includeInCitation: true
  name: Gonzalez, Aneysis
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  schemaKey: Person
dateCreated: '2022-07-20T15:15:55.421980+00:00'
datePublished: '2022-08-05T17:24:33.445793+00:00'
description: "Associated Reference Publication: Excitatory and inhibitory neural dynamics
  jointly tune motion detection\nNeurons integrate excitatory and inhibitory signals
  to produce their outputs, but the role of input timing in this integration remains
  poorly understood. Motion detection is a paradigmatic example of this integration,
  since theories of motion detection rely on different delays in visual signals. These
  delays allow circuits to compare scenes at different times to calculate the direction
  and speed of motion. Different motion detection circuits have different velocity
  sensitivity, but it remains untested how the response dynamics of individual cell
  types drive this tuning. Here, we sped up or slowed down specific neuron types in
  Drosophila\u2019s motion detection circuit by manipulating ion channel expression.
  Altering the dynamics of individual neuron types upstream of motion detectors increased
  their sensitivity to fast or slow visual motion, exposing distinct roles for excitatory
  and inhibitory dynamics in tuning directional signals, including a role for the
  amacrine cell CT1. A circuit model constrained by functional data and anatomy qualitatively
  reproduced the observed tuning changes. Overall, these results reveal how excitatory
  and inhibitory dynamics together tune a canonical circuit computation."
doi: 10.48324/dandi.000296/0.220805.1724
ethicsApproval: []
id: DANDI:000296/0.220805.1724
identifier: DANDI:000296
keywords: []
license:
- spdx:CC-BY-4.0
manifestLocation:
- https://dandiarchive.s3.amazonaws.com/dandisets/000296/0.220805.1724/assets.yaml
name: Drosophila visual neural responses to stochastic stimuli
protocol: []
publishedBy:
  endDate: '2022-08-05T17:24:33.445793+00:00'
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  name: DANDI publish
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  startDate: '2022-08-05T17:24:33.445793+00:00'
  wasAssociatedWith:
  - id: urn:uuid:a05d8397-7936-4282-be9a-1e6d5512a8d6
    identifier: RRID:SCR_017571
    name: DANDI API
    schemaKey: Software
    version: 0.1.0
relatedResource: []
repository: https://dandiarchive.org
schemaKey: Dandiset
schemaVersion: 0.6.3
studyTarget: []
url: https://dandiarchive.org/dandiset/000296/0.220805.1724
version: 0.220805.1724
wasGeneratedBy: []