Data assimilation in dynamical cognitive science
Research output: Contribution to journal › Journal article › Research › peer-review
Dynamical models make specific assumptions about cognitive processes that generate human behavior. In data assimilation, these models are tested against time-ordered data. Recent progress on Bayesian data assimilation demonstrates that this approach combines the strengths of statistical modeling of individual differences with the those of dynamical cognitive models.
Original language | English |
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Journal | Trends in Cognitive Sciences |
Volume | 26 |
Issue number | 2 |
Pages (from-to) | 99-102 |
Number of pages | 4 |
ISSN | 1364-6613 |
DOIs | |
Publication status | Published - Feb 2022 |
Bibliographical note
Funding Information:
This work was supported by Deutsche Forschungsgemeinschaft (DFG) via Collaborative Research Centers SFB 1294 , Project-ID 318763901 , and SFB 1287 , Project-ID 317633480 .
Publisher Copyright:
© 2021 Elsevier Ltd
- data assimilation, dynamical cognitive models, sequential likelihood
Research areas
ID: 389895029