Modeling the function of episodic memory in spatial learning at SFN 2022
- Xiangshuai Zeng, M.Sc.
- November 24, 2022
This November, at SFN 2022 in San Diego, I presented my research “Modeling the function of episodic memory in spatial learning” at the poster session “Episodic and episodic-like memory”. Using computational modelling I demonstrated, how episodic memory can facilitate learning in spatial navigation and compared three learning paradigms where memories are retrieved, replayed or absent. I also showed the benefits of sequential replay over random replay under certain conditions and reproduced qualitatively some experimental results by creating a hybrid learning agent where the three learning paradigms co-exist.
My research was well accepted and I was extremely happy and excited to share my results and to communicate with people who care about the brain and memory just as much as I do!
The research unit FOR 2812 "Constructing scenarios of the past: A new framework in episodic memory" is a project funded by the German Research Foundation (Deutsche Forschungsgemeinschaft, DFG). The research unit studies the cognitive and neuronal mechanisms underlying scenario construction in episodic memory. We employ and integrate approaches from Philosophy, Psychology, and Experimental and Computational Neuroscience.
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