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  1. '@context': https://raw.githubusercontent.com/dandi/schema/master/releases/0.6.4/context.json
  2. about: []
  3. access:
  4. - schemaKey: AccessRequirements
  5. status: dandi:OpenAccess
  6. assetsSummary:
  7. numberOfBytes: 0
  8. numberOfFiles: 0
  9. schemaKey: AssetsSummary
  10. citation: Lecoq, Jerome A.; Garrett, Marina; Choi, Hannah; Mazzucato, Luca; Wyrick,
  11. David (2023) Allen Institute Openscope - Differential encoding of temporal context
  12. and expectation (Version draft) [Data set]. DANDI archive. https://dandiarchive.org/dandiset/000488/draft
  13. contributor:
  14. - contactPoint: []
  15. identifier: https://ror.org/03cpe7c52
  16. includeInCitation: false
  17. name: Allen Institute
  18. roleName:
  19. - dcite:Funder
  20. - dcite:Producer
  21. schemaKey: Organization
  22. url: https://alleninstitute.org/
  23. - affiliation: []
  24. email: jeromel@alleninstitute.org
  25. identifier: 0000-0002-0131-0938
  26. includeInCitation: true
  27. name: Lecoq, Jerome A.
  28. roleName:
  29. - dcite:Author
  30. - dcite:ContactPerson
  31. - dcite:DataCollector
  32. - dcite:DataCurator
  33. - dcite:DataManager
  34. - dcite:FundingAcquisition
  35. - dcite:Methodology
  36. - dcite:Producer
  37. - dcite:ProjectManager
  38. - dcite:ProjectMember
  39. - dcite:ProjectAdministration
  40. - dcite:Supervision
  41. - dcite:Validation
  42. schemaKey: Person
  43. - affiliation: []
  44. email: marinag@alleninstitute.org
  45. identifier: 0000-0002-5271-2291
  46. includeInCitation: true
  47. name: Garrett, Marina
  48. roleName:
  49. - dcite:Conceptualization
  50. - dcite:FormalAnalysis
  51. - dcite:Methodology
  52. - dcite:ProjectLeader
  53. - dcite:Software
  54. - dcite:Supervision
  55. - dcite:Author
  56. schemaKey: Person
  57. - affiliation: []
  58. email: hannahch@gatech.edu
  59. identifier: 0000-0002-8192-1121
  60. includeInCitation: true
  61. name: Choi, Hannah
  62. roleName:
  63. - dcite:Author
  64. - dcite:Conceptualization
  65. - dcite:FormalAnalysis
  66. - dcite:Methodology
  67. - dcite:ProjectLeader
  68. - dcite:Supervision
  69. schemaKey: Person
  70. - affiliation: []
  71. email: lmazzuca@uoregon.edu
  72. includeInCitation: true
  73. name: Mazzucato, Luca
  74. roleName:
  75. - dcite:Author
  76. - dcite:FormalAnalysis
  77. - dcite:ProjectLeader
  78. - dcite:Software
  79. - dcite:Supervision
  80. - dcite:Visualization
  81. schemaKey: Person
  82. - affiliation: []
  83. email: davidgwyrick@gmail.com
  84. includeInCitation: true
  85. name: Wyrick, David
  86. roleName:
  87. - dcite:Author
  88. - dcite:FormalAnalysis
  89. - dcite:Methodology
  90. - dcite:ProjectMember
  91. - dcite:Researcher
  92. - dcite:Software
  93. - dcite:Visualization
  94. - dcite:ContactPerson
  95. schemaKey: Person
  96. dateCreated: '2023-04-21T17:07:16.030644+00:00'
  97. description: "This dataset was collected for the Predictive Coding project, as part
  98. of the Allen Institute for Brain Science's OpenScope project. \n\nThe experimental
  99. design involved visual stimulation with sequences of 4 natural scene images (ABCD)
  100. that are repeated many times, with an occasional rare oddball image in the 4th place
  101. in the sequence (ABCX). There are 10 unique oddball images which are each shown
  102. 10 times during the recording session. The main sequence (ABCD) is shown thousands
  103. of times. In addition to the oddball blocks there are control conditions where the
  104. 4 main sequence images and 10 oddball images are shown either entirely randomly,
  105. or where pairwise image transitions are maintained, but the overall sequence is
  106. shuffled (example pairs: AB, BC, CD, CX, XA, etc). \n\nDuring this stimulus paradigm,
  107. 2-photon calcium imaging was used to record neural activity in three cortical areas
  108. (one area per recording session): the primary visual cortex, higher order visual
  109. area PM, and the retrosplenial cortex, across multiple cortical depths. During the
  110. recordings, mice were free to run on a circular disk and running speed was measured,
  111. along with pupil diameter and eye position. In each mouse, two of the three areas
  112. were imaged, and the third had a retrograde tracer (rAAV-mRuby2) injected to label
  113. inputs to that region. No differences in physiology were identified between retrogradely
  114. labeled and non-labeled neurons, thus this information was not included in the primary
  115. study of this dataset. \n\nResults are provided in the form of normalized calcium
  116. traces (dF/F) for all recorded neurons, along with running speed, pupil measurements,
  117. and the timing of all stimulus events. "
  118. ethicsApproval:
  119. - contactPoint:
  120. schemaKey: ContactPoint
  121. identifier: Allen Institute institutional Animal Care and Use Committee
  122. schemaKey: EthicsApproval
  123. id: DANDI:000488/draft
  124. identifier: DANDI:000488
  125. keywords:
  126. - neocortex
  127. - pyramidal neurons
  128. - two-photon calcium imaging
  129. - mouse VisP
  130. - prediction
  131. - predictive coding
  132. license:
  133. - spdx:CC-BY-4.0
  134. manifestLocation:
  135. - https://api.dandiarchive.org/api/dandisets/000488/versions/draft/assets/
  136. name: Allen Institute Openscope - Differential encoding of temporal context and expectation
  137. protocol:
  138. - https://doi.org/10.1038/s41593-019-0550-9
  139. relatedResource: []
  140. repository: https://dandiarchive.org
  141. schemaKey: Dandiset
  142. schemaVersion: 0.6.4
  143. studyTarget:
  144. - 'The objective of this study was to ask whether prediction (expected sequence information)
  145. and prediction error (unexpected oddball) signals are present at different stages
  146. of the visual hierarchy. Retrosplenial cortex is an associational area involved
  147. in scene processing and spatial navigation that provides feedback to the primary
  148. visual cortex (VISp), and to higher visual area PM (VISpm). The predictive coding
  149. framework posits that prediction error signals are produced in lower regions and
  150. propagated up to higher areas in the higherarchy to update internal predictions
  151. about the environment, while predictions based on learned expectations are feed
  152. back to lower areas to minimize activity associated with expected stimuli. This
  153. dataset allows testing of these predictions in 3 hierarchically connected areas
  154. using naturalistic stimuli in behaving mice. . '
  155. url: https://dandiarchive.org/dandiset/000488/draft
  156. version: draft
  157. wasGeneratedBy: []
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