TU Berlin

Cognitive Modeling in dynamic Human-Machine SystemsLinda Heimisch


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Linda Heimisch


Research Assistant


Research Interests

  • Cognitive Modelling
  • Intersection of cognitive modelling and EEG
  • Methods in the cognitive sciences and neurosciences, data analysis
  • Mathematical modelling


Master's Thesis

Bringing together Cognitive Models and EEG through Hidden Semi-Markov Models. An analysis of processing stages in a Mental Rotation task

Can we gain information from neuronal data that has the potential to refine computational cognitive models, make them more plausible, or improve their predictions about human performance in cognitive tasks? In order to give an answer to this question, one also must address two underlying questions: To what extent are neuronal data a good benchmark for the true nature of mental processes? And how well do neuronal data analysis and computational cognitive modelling go together, regarding both methodological/statistical aspects and theoretical/epistemological assumptions? In my thesis I will transform neuronal data obtained from an electroencephalography (below: EEG) study into a stochastic model that will allow to quantitatively compare these data to a cognitive model that is implemented in the cognitive architecture ACT-R. Thereby, I want to evaluate whether the assumptions that the ACT-R model makes about the number and the duration of cognitive stages involved in a Mental Rotation process match with the neuronal stages extracted from the EEG data - and, in case of mismatches, propose and discuss a way how the information obtained from the EEG data could be used to improve the ACT-R model. Particular emphasis will be put on the question if the assumptions that the ACT-R model makes about the contribution of a newly developed spatial module to the Mental Rotation process have a close match in the stochastic model derived from the EEG data. 



  • since 2017      Humboldt-Universität zu Berlin
                          M.Sc. Mind and Brain - Track Brain

  • 2013 - 2017    Albert-Ludwigs-Universität Freiburg
                          B.A. Cognitive Science and Political Science



  • since 2019       Universität Potsdam
                           Student research assistant in SFB 1294
                           Data Assimilation - Project B03
                           Parameter inference and model comparison in dynamical cognitive models

  • 2017 - 2018     Max Planck Institute for Human Development, Berlin
                           Student research assistant at the Harding Center for Risk Literacy
                           Research group: Adaptive behavior and cognition


Heimisch, L. (2021, July). Combining ACT-R models with EEG data. Talk held at the 19th International Conference on Cognitive Modeling.

Link to original publication


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