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An Overcomplete Approach to Fitting Drift-Diffusion Decision Models to Trial-By-Trial Data

Overview of attention for article published in Frontiers in Artificial Intelligence, April 2021
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14 Mendeley
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Title
An Overcomplete Approach to Fitting Drift-Diffusion Decision Models to Trial-By-Trial Data
Published in
Frontiers in Artificial Intelligence, April 2021
DOI 10.3389/frai.2021.531316
Pubmed ID
Authors

Q. Feltgen, J. Daunizeau

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 29%
Student > Master 2 14%
Student > Doctoral Student 1 7%
Student > Postgraduate 1 7%
Unknown 6 43%
Readers by discipline Count As %
Psychology 2 14%
Neuroscience 2 14%
Physics and Astronomy 2 14%
Business, Management and Accounting 1 7%
Unknown 7 50%