A new study suggests our brains store narratives by linking related events into tree-like structures, explaining how we recall complex stories with ease.
A team from the Institute for Advanced Study, Emory University in the US, and the Weizmann Institute of Science , Israel, has developed a new mathematical framework to understand how humans store meaningful narratives in memory. Their approach uses random trees, mathematical objects that can represent branching structures, to model the way people remember stories. The study’s lead authors point out that their the goal was to create a rigorous theory of human memory for complex material stories.
Participants were asked to recall these stories, and the researchers analyzed their responses to see if their theory held true.Following this, the team used spoken narratives recorded by Labov in the 1960s and analyzed the large amount of data by relying on modern tools like AI and large language models. The researchers found that people often summarize entire episodes of a story into single sentences, leading to the conclusion that narratives are stored in memory as tree structures.
AI Tools Brain Cognitive Function Llms Memory Narratives Science Trees
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