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Jul 20, 2018
Bucher, Alica; Voss, Andreas, 2018, "Judging the mood of the crowd: Attention is focused on happy faces [Dataset]", https://doi.org/10.11588/data/MES8FE, heiDATA, V1
Previous research on valence biases in face perception revealed inconsistent findings either proposing angry or happy faces to be detected more efficiently. We argue that the typical experimental task in this field, the face-in-the-crowd (FiC) paradigm, lacks ecological validity...
ZIP Archive - 121.6 MB - MD5: 7da63024e807da9052ca806945497962
Data
ZIP Archive - 105.5 MB - MD5: 87060832bb2930000272cfbe6dd13ca9
Data
ZIP Archive - 167.2 MB - MD5: 55a91d7df7debaff84fda2f44da1a206
Data
Jun 22, 2018
Voss, Andreas; Mertens, Ulf K.; Radev, Stefan T., 2018, "Learning the Likelihood: Using DeepInference for the Estimation of Diffusion-Model and Lévy Flight Parameters [Dataset]", https://doi.org/10.11588/data/HY4OBJ, heiDATA, V1
In the corresponding paper, we use the recently develop DeepInference architecture as a general likelihood-free method to estimate parameters of cognitive models. DeepInference is a machine-learning algorithm based on the training of convolutional neural networks. In a first step...
Comma Separated Values - 5.6 MB - MD5: 4cb682a8cf1c929ff224b331f0a03e87
Data
Study 1
Comma Separated Values - 5.6 MB - MD5: 4261f03c9ad44f74d70d1cd8df25b19e
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Study 1
Comma Separated Values - 5.6 MB - MD5: 3a0ad8ddae6194b0107ec3cfd6c49fbb
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Study 2
Comma Separated Values - 5.6 MB - MD5: e09cc5c58d194102e6563455ac619bfc
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Study 2
Plain Text - 1.6 KB - MD5: c2010ae74645692614b4d4e637e8b4b1
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