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{ "version": "0.230602.2022", "name": "Allen Institute Openscope - Differential encoding of temporal context and expectation", "asset_count": 43, "active_uploads": 0, "size": 61460302104, "status": "Valid", "created": "2023-06-02T20:22:54.232378Z", "modified": "2023-06-02T20:22:56.580566Z", "dandiset": { "identifier": "000488", "created": "2023-04-21T17:07:16.030644Z", "modified": "2023-06-07T21:39:21.888674Z", "contact_person": "Lecoq, Jerome A.", "embargo_status": "OPEN" }, "asset_validation_errors": [], "version_validation_errors": [], "metadata": { "id": "DANDI:000488/0.230602.2022", "doi": "10.48324/dandi.000488/0.230602.2022", "url": "https://dandiarchive.org/dandiset/000488/0.230602.2022", "name": "Allen Institute Openscope - Differential encoding of temporal context and expectation", "about": [], "access": [ { "status": "dandi:OpenAccess", "schemaKey": "AccessRequirements" } ], "license": [ "spdx:CC-BY-4.0" ], "version": "0.230602.2022", "@context": "https://raw.githubusercontent.com/dandi/schema/master/releases/0.6.4/context.json", "citation": "Lecoq, Jerome A.; Garrett, Marina; Choi, Hannah; Mazzucato, Luca; Wyrick, David (2023) Allen Institute Openscope - Differential encoding of temporal context and expectation (Version 0.230602.2022) [Data set]. DANDI archive. https://doi.org/10.48324/dandi.000488/0.230602.2022", "keywords": [ "neocortex", "pyramidal neurons", "two-photon calcium imaging", "mouse VisP", "prediction", "predictive coding" ], "protocol": [ "https://doi.org/10.1038/s41593-019-0550-9" ], "schemaKey": "Dandiset", "identifier": "DANDI:000488", "repository": "https://dandiarchive.org", "contributor": [ { "url": "https://alleninstitute.org/", "name": "Allen Institute", "roleName": [ "dcite:Funder", "dcite:Producer" ], "schemaKey": "Organization", "identifier": "https://ror.org/03cpe7c52", "contactPoint": [], "includeInCitation": false }, { "name": "Lecoq, Jerome A.", "email": "jeromel@alleninstitute.org", "roleName": [ "dcite:Author", "dcite:ContactPerson", "dcite:DataCollector", "dcite:DataCurator", "dcite:DataManager", "dcite:FundingAcquisition", "dcite:Methodology", "dcite:Producer", "dcite:ProjectManager", "dcite:ProjectMember", "dcite:ProjectAdministration", "dcite:Supervision", "dcite:Validation" ], "schemaKey": "Person", "identifier": "0000-0002-0131-0938", "affiliation": [], "includeInCitation": true }, { "name": "Garrett, Marina", "email": "marinag@alleninstitute.org", "roleName": [ "dcite:Conceptualization", "dcite:FormalAnalysis", "dcite:Methodology", "dcite:ProjectLeader", "dcite:Software", "dcite:Supervision", "dcite:Author" ], "schemaKey": "Person", "identifier": "0000-0002-5271-2291", "affiliation": [], "includeInCitation": true }, { "name": "Choi, Hannah", "email": "hannahch@gatech.edu", "roleName": [ "dcite:Author", "dcite:Conceptualization", "dcite:FormalAnalysis", "dcite:Methodology", "dcite:ProjectLeader", "dcite:Supervision" ], "schemaKey": "Person", "identifier": "0000-0002-8192-1121", "affiliation": [], "includeInCitation": true }, { "name": "Mazzucato, Luca", "email": "lmazzuca@uoregon.edu", "roleName": [ "dcite:Author", "dcite:FormalAnalysis", "dcite:ProjectLeader", "dcite:Software", "dcite:Supervision", "dcite:Visualization" ], "schemaKey": "Person", "affiliation": [], "includeInCitation": true }, { "name": "Wyrick, David", "email": "davidgwyrick@gmail.com", "roleName": [ "dcite:Author", "dcite:FormalAnalysis", "dcite:Methodology", "dcite:ProjectMember", "dcite:Researcher", "dcite:Software", "dcite:Visualization", "dcite:ContactPerson" ], "schemaKey": "Person", "affiliation": [], "includeInCitation": true } ], "dateCreated": "2023-04-21T17:07:16.030644+00:00", "description": "This dataset was collected for the Predictive Coding project, as part of the Allen Institute for Brain Science's OpenScope project. \n\nThe experimental design involved visual stimulation with sequences of 4 natural scene images (ABCD) that are repeated many times, with an occasional rare oddball image in the 4th place in the sequence (ABCX). There are 10 unique oddball images which are each shown 10 times during the recording session. The main sequence (ABCD) is shown thousands of times. In addition to the oddball blocks there are control conditions where the 4 main sequence images and 10 oddball images are shown either entirely randomly, or where pairwise image transitions are maintained, but the overall sequence is shuffled (example pairs: AB, BC, CD, CX, XA, etc). \n\nDuring this stimulus paradigm, 2-photon calcium imaging was used to record neural activity in three cortical areas (one area per recording session): the primary visual cortex, higher order visual area PM, and the retrosplenial cortex, across multiple cortical depths. During the recordings, mice were free to run on a circular disk and running speed was measured, along with pupil diameter and eye position. In each mouse, two of the three areas were imaged, and the third had a retrograde tracer (rAAV-mRuby2) injected to label inputs to that region. No differences in physiology were identified between retrogradely labeled and non-labeled neurons, thus this information was not included in the primary study of this dataset. \n\nResults are provided in the form of normalized calcium traces (dF/F) for all recorded neurons, along with running speed, pupil measurements, and the timing of all stimulus events. ", "publishedBy": { "id": "urn:uuid:ed6b74b7-0a68-44df-bd06-eef19cafbdd7", "name": "DANDI publish", "endDate": "2023-06-02T20:22:54.169162+00:00", "schemaKey": "PublishActivity", "startDate": "2023-06-02T20:22:54.169162+00:00", "wasAssociatedWith": [ { "id": "urn:uuid:f9e4f6c7-e902-4646-953c-fdc2dd7b6ee0", "name": "DANDI API", "version": "0.1.0", "schemaKey": "Software", "identifier": "RRID:SCR_017571" } ] }, "studyTarget": [ "The objective of this study was to ask whether prediction (expected sequence information) and prediction error (unexpected oddball) signals are present at different stages of the visual hierarchy. Retrosplenial cortex is an associational area involved in scene processing and spatial navigation that provides feedback to the primary visual cortex (VISp), and to higher visual area PM (VISpm). The predictive coding framework posits that prediction error signals are produced in lower regions and propagated up to higher areas in the higherarchy to update internal predictions about the environment, while predictions based on learned expectations are feed back to lower areas to minimize activity associated with expected stimuli. This dataset allows testing of these predictions in 3 hierarchically connected areas using naturalistic stimuli in behaving mice. . 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