Memory transformations in a mechanistic model of systems memory consolidationBack to Research
In this project we try to understand how episodic to semantic memory transformations can arise in a previously proposed circuit mechanism for systems memory consolidation. We use computational neuroscience models combined with methods from machine learning and mathematical analyses to investigate how architectural and representational constraints can give rise to the transformation of memories. We try to find out how these transformations might on the one hand explain semantisation of memory content and on the other hand control factors such as hippocampus dependency of memories and consolidation speed. To test our proposed circuit mechanism, we investigate memory consolidation of olfactory memories in the Drosophila brain. For this project we collaborate closely with the Owald lab.