Mapping multidimensional content representations to neural and behavioral expressions of episodic memory.

ABSTRACT: Human neuroimaging studies have shown that the contents of episodic memories are represented in distributed patterns of neural activity. However, these studies have mostly been limited to decoding simple, unidimensional properties of stimuli. Semantic encoding models, in contrast, offer a means for characterizing the rich, multidimensional information that comprises episodic memories. Here, we extensively sampled four human fMRI subjects to build semantic encoding models and then applied these models to reconstruct content from natural scene images as they were viewed and recalled from memory. First, we found that multidimensional semantic information was successfully reconstructed from activity patterns across visual and lateral parietal cortices, both when viewing scenes and when recalli

SUBMITTER: Wang Y 

PROVIDER: S-EPMC10424734 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature