Description
Explaining how neuronal activity gives rise to cognition remains the most significant challenge in cognitive neuroscience. In the first part of this talk, I will introduce neuro-cognitive multilevel causal modeling (NC-MCM), a mathematical framework that bridges the explanatory gap between neuronal activity and cognition by construing cognitive states as causally consistent abstractions of neuronal states. I will then show how the NC-MCM framework enables us to reason interchangeably about the dynamics and behavior of an organism on the neuronal and cognitive levels. In the second part of this talk, I will present an algorithm for learning NC-MCMs from neuronal activation patterns and demonstrate its ability to learn cognitive states of the nematode C. elegans from calcium imaging data.| Period | 25 Jan 2024 |
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| Held at | Österreichische Akademie der Wissenschaften (ÖAW), Austria |