Ruprecht-Karls-Universitaet Heidelberg


New research project

Dr. Anna-Lena Schubert received a grant to study the neurocognitive process parameters of cognitive abilities.

Recent Publications

Zaehringer, J. K., Falquez, R., Schubert, A.-L., Nees, F., & Barnow, S. (2018). Neural Correlates of Reappraisal Considering Working Memory Capacity and Cognitive Flexibility. Brain Imaging and Behavior. doi: 10.1007/s11682-017-9788-6
Schubert, A.-L., Hagemann, D., & Frischkorn, G. T. (2017). Is general intelligence little more than the speed of higher-order processing? Journal of Experimental Psychology: General, 146, 1498-1512. doi: 10.1037/xge0000325

Research Topics

Mathematical modeling of individual differences in cognition

Modeling behavioral responses such as response times and accuracies in cognitive processing tasks with mathematical models, such as the diffusion model, provides a powerful possibility to access different process within these tasks. Often these models not only use aggregate measures of performance, for example mean response times or accuracy, but these models use the information of the whole distribution of response times of correct and incorrect responses. Thus, these models may provide more sophisticated measures for specific processes in these tasks. Specifically, we are interested in how far inter-individual differences in the parameters of mathematical models refer to traits of a person and whether they predict inter-individual differences in other personality traits such as general intelligence.

Related Publication:
Schubert, A.-L., Hagemann, D., Voss, A., & Bergmann, K. (in press). Evaluating the model fit of diffusion models with the root mean square error of approximation. Journal of Mathematical Psychology. doi: 10.1016/
Schubert, A.-L., Frischkorn, G. T., Hagemann, D., Voss, A. (2016) Trait Characteristics of Diffusion Model Parameters. Journal of Intelligence, 4, 7, doi:10.3390/jintelligence4030007. (PDF)

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Editor: Martin Lingnau
Last Change: 28.07.2016