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metadata.yaml
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about: []
access:
- schemaKey: AccessRequirements
status: dandi:OpenAccess
assetsSummary:
approach:
- name: microscopy approach; cell population imaging
schemaKey: ApproachType
- name: behavioral approach
schemaKey: ApproachType
dataStandard:
- identifier: RRID:SCR_015242
name: Neurodata Without Borders (NWB)
schemaKey: StandardsType
measurementTechnique:
- name: behavioral technique
schemaKey: MeasurementTechniqueType
numberOfBytes: 62572042499
numberOfFiles: 135
numberOfSubjects: 4
schemaKey: AssetsSummary
species: []
variableMeasured:
- BehavioralTimeSeries
- PlaneSegmentation
citation: Najafi, Farzaneh; Churchland, Anne K. (2022) Excitatory and inhibitory subnetworks
are equally selective during decision-making and emerge simultaneously during learning
(Version draft) [Data set]. DANDI archive. https://dandiarchive.org/dandiset/000016/draft
contributor:
- identifier: 0000-0001-6454-2448
includeInCitation: true
name: Najafi, Farzaneh
roleName:
- dcite:Author
- dcite:ContactPerson
schemaKey: Person
- identifier: 0000-0002-3205-3794
includeInCitation: true
name: Churchland, Anne K.
roleName:
- dcite:Author
schemaKey: Person
dateCreated: '2020-03-19T19:10:05.697000+00:00'
description: "This package contains data, in NWB (Neurodata Without Borders) format,
from the 4 mice included in \"Najafi, Farzaneh, Gamaleldin F. Elsayed, Robin Cao,
Eftychios Pnevmatikakis, Peter E. Latham, John P. Cunningham, and Anne K. Churchland.
\"Excitatory and inhibitory subnetworks are equally selective during decision-making
and emerge simultaneously during learning.\" Neuron 105, no. 1 (2020): 165-179.\u201D
Each NWB file represents the data and metadata associated with one recording session.
In each NWB file, the metadata related to the session (mouse name, session date/time,
lab/institution name, etc.) can be found under \"general\". Information related
to ROI-segmentation such as ROI mask, ROI type (excitatory or inhibitory), poor
or good quality, etc. can be found under \"modules/Image-Segmentation/pln-seg\".
Trial information (e.g. start, end times, trial types, trial outcomes, etc.) can
be found under \"trials\". Recorded trial-segmented neuronal responses aligned to
different time event (e.g. stimulus start, animal choice, etc.) can be found under
\"modules/ Trial-based-Segmentation\". A jupyter notebook presenting in detail how
to work with NWB files is provided at https://github.com/ttngu207/najafi-2018-nwb/blob/master/notebooks/Najafi-2018_example.ipynb."
ethicsApproval: []
id: DANDI:000016/draft
identifier: DANDI:000016
keywords: []
license:
- spdx:CC-BY-4.0
manifestLocation:
- https://api.dandiarchive.org/api/dandisets/000016/versions/draft/assets/
name: Excitatory and inhibitory subnetworks are equally selective during decision-making
and emerge simultaneously during learning
protocol: []
relatedResource:
- identifier: doi:10.14224/1.37693
name: "Dataset from \"Najafi, Farzaneh, Gamaleldin F. Elsayed, Robin Cao, Eftychios
Pnevmatikakis, Peter E. Latham, John P. Cunningham, and Anne K. Churchland. \"Excitatory
and inhibitory subnetworks are equally selective during decision-making and emerge
simultaneously during learning.\" Neuron 105, no. 1 (2020): 165-179.\u201D"
relation: dcite:IsDerivedFrom
repository: CSHL Labs
schemaKey: Resource
url: http://repository.cshl.edu/id/eprint/37693/
- identifier: DOI:10.1101/354340
name: Excitatory and inhibitory subnetworks are equally selective during decision-making
and emerge simultaneously during learning
relation: dcite:IsDescribedBy
schemaKey: Resource
url: https://doi.org/10.1101/354340
- identifier: DOI:10.1016/j.neuron.2019.09.045
name: Excitatory and Inhibitory Subnetworks Are Equally Selective during Decision-Making
and Emerge Simultaneously during Learning
relation: dcite:IsDescribedBy
schemaKey: Resource
url: https://doi.org/10.1016/j.neuron.2019.09.045
repository: https://dandiarchive.org/
schemaKey: Dandiset
schemaVersion: 0.6.0
studyTarget: []
url: https://dandiarchive.org/dandiset/000016/draft
version: draft
wasGeneratedBy: []