Publication: Optimizing experimental design for comparing models of brain function
Optimizing experimental design for comparing models of brain function
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Daunizeau, J., Preuschoff, K., Friston, K., & Stephan, K. E. (2011). Optimizing experimental design for comparing models of brain function. PLoS Computational Biology, 7(11), e1002280. https://doi.org/10.1371/journal.pcbi.1002280
Abstract
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This article presents the first attempt to formalize the optimization of experimental design with the aim of comparing models of brain function based on neuroimaging data. We demonstrate our approach in the context of Dynamic Causal Modelling (DCM), which relates experimental manipulations to observed network dynamics (via hidden neuronal states) and provides an inference framework for selecting among candidate models. Here, we show how to optimize the sensitivity of model selection by choosing among experimental designs according to
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- Daunizeau, Jean
- Preuschoff, Kerstin
- Friston, Karl
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Daunizeau, J., Preuschoff, K., Friston, K., & Stephan, K. E. (2011). Optimizing experimental design for comparing models of brain function. PLoS Computational Biology, 7(11), e1002280. https://doi.org/10.1371/journal.pcbi.1002280
