datacite.yml 2.8 KB

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  1. authors:
  2. -
  3. firstname: "Stefan"
  4. lastname: "Appelhoff"
  5. affiliation: "Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany"
  6. id: "ORCID:0000-0001-8002-0877"
  7. -
  8. firstname: "Ralph"
  9. lastname: "Hertwig"
  10. affiliation: "Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany"
  11. id: "ORCID:0000-0002-9908-9556"
  12. -
  13. firstname: "Bernhard"
  14. lastname: "Spitzer"
  15. affiliation: "Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany"
  16. id: "ORCID:0000-0001-9752-932X"
  17. title: "The mpib_ecomp_sourcedata dataset"
  18. description: |
  19. When judging the average value of sample stimuli (e.g., numbers) people tend
  20. to either over- or underweight extreme sample values, depending on task
  21. context. In a context of overweighting, recent work has shown that extreme
  22. sample values were overly represented also in neural signals, in terms of an
  23. anti-compressed geometry of number samples in multivariate
  24. electroencephalography (EEG) patterns. Here, we asked whether neural
  25. representational geometries may also reflect underweighting of extreme values
  26. (i.e., compression) which has been observed behaviorally in a great variety
  27. of tasks.
  28. keywords:
  29. - cognitive neuroscience
  30. - decision-making
  31. - numerical cognition
  32. - sequential sampling
  33. - value distortions
  34. - compression
  35. - anti-compression
  36. - EEG
  37. - electroencephalography
  38. - eyetracking
  39. - representational similarity analysis
  40. - RSA
  41. - multivariate pattern analysis
  42. - MVPA
  43. - computational modeling
  44. # "reftype": IsSupplementTo, IsDescribedBy, or IsReferencedBy
  45. # "id": doi:, arxiv:, or pmid:
  46. # "citation": any string
  47. references:
  48. -
  49. reftype: "IsSupplementTo"
  50. id: doi:10.1101/2022.03.31.486560
  51. citation: "Appelhoff, S., Hertwig, R. & Spitzer, B. EEG-representational geometries and psychometric distortions in approximate numerical judgment. (2022) doi:10.1101/2022.03.31.486560"
  52. -
  53. reftype: "IsDescribedBy"
  54. id: doi:10.5281/zenodo.6411313
  55. citation: "Appelhoff, Stefan. (2022). eComp Experiment Code (2022.1.0). Zenodo. https://doi.org/10.5281/zenodo.6411319"
  56. -
  57. reftype: "IsReferencedBy"
  58. id: doi:10.5281/zenodo.6411287
  59. citation: "Appelhoff, Stefan. (2022). eComp Analysis Code (1.0.0). Zenodo. https://doi.org/10.5281/zenodo.6411288"
  60. -
  61. reftype: "IsReferencedBy"
  62. citation: "https://gin.g-node.org/sappelhoff/mpib_ecomp_dataset"
  63. -
  64. reftype: "IsReferencedBy"
  65. citation: "https://gin.g-node.org/sappelhoff/mpib_ecomp_derivatives"
  66. license:
  67. name: "Open Data Commons Public Domain Dedication and License (PDDL) v1.0"
  68. url: "https://opendatacommons.org/licenses/pddl/1-0/"
  69. funding:
  70. - "Max Planck Institute for Human Development"
  71. resourcetype: Dataset
  72. templateversion: 1.2