Causality in cognitive neuroscience: concepts, challenges, and distributional robustness

14 Feb 2020 Sebastian Weichwald Jonas Peters

While probabilistic models describe the dependence structure between observed variables, causal models go one step further: they predict, for example, how cognitive functions are affected by external interventions that perturb neuronal activity. In this review and perspective article, we introduce the concept of causality in the context of cognitive neuroscience and review existing methods for inferring causal relationships from data... (read more)

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