Data-driven inference of cognitive models
We refine our machine learning technologies to massively improve the ability to infer mathematical models of complex systems from empirical data.
What do we mean by data-driven inference?
Mathematical models of dynamic complex systems primarily rely on differential or time-recursive equations. In cognitive sciences, however, the scenario is distinctly different from disciplines like physics and engineering that operate on foundational principles like Newton's laws or Maxwell's equations, facilitating the derivation and interpretation of these equations. In contrast, cognitive sciences necessitate an empirical approach due to the absence of such foundational principles. In essence, we are required to infer the governing equations of cognitive systems (behavioral and neural) based on what we can practically observe. However, these observations are inherently constrained. Given the lack of cognitive first principles, we face uncertainties regarding what to measure (i.e., state variables) and the duration (time scales and dimensionality) for which measurements should be taken. Prior research from our group and others indicates that any of these factors can compromise the entire machine learning process, resulting in models that lack replicability, explainability, predictability, and do not translate into traditional intervention mechanisms informed by control theory
Team
The inherent challenge is to observe a minor fraction of the trajectory of the select measurable variables and extrapolate inferences about the entire trajectory of all pertinent state variables.
Our Collaborators
Medical Machine Psychiatry Cognitive Translational Learning Neuropsychiatry Neuroimaging
Prof. Tim Hahn Prof. Tilo Kircher Prof. Igor Nenadić Prof. Benjamin Straube
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Neuroimaging Clinical Psychology Language Psychiatry and Technologies Neurostimulation
Prof. Andreas Jansen Prof. Stefan G. Hofmann Prof. Lucie Flek Prof. Christoph Mulert
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Dynamical Systems Cognitive Modeling Neurometabolic Cell Models and Theory Circuitry Parental Mental Health
Prof. Erfan Nozari Prof. Marieke van Vugt Dr. Sharmili E. Thanarajah Prof. Sarah Kittel- Schneider