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Higher-dimensional neural representations predict better episodic memory

Jintao Sheng, Liang Zhang, Chuqi Liu, Jing Liu, Junjiao Feng, Yu Zhou, Huinan Hu, Gui Xue

2022Science Advances26 citationsDOIOpen Access PDF

Abstract

Episodic memory enables humans to encode and later vividly retrieve information about our rich experiences, yet the neural representations that support this mental capacity are poorly understood. Using a large fMRI dataset ( n = 468) of face-name associative memory tasks and principal component analysis to examine neural representational dimensionality (RD), we found that the human brain maintained a high-dimensional representation of faces through hierarchical representation within and beyond the face-selective regions. Critically, greater RD was associated with better subsequent memory performance both within and across participants, and this association was specific to episodic memory but not general cognitive abilities. Furthermore, the frontoparietal activities could suppress the shared low-dimensional fluctuations and reduce the correlations of local neural responses, resulting in greater RD. RD was not associated with the degree of item-specific pattern similarity, and it made complementary contributions to episodic memory. These results provide a mechanistic understanding of the role of RD in supporting accurate episodic memory.

Topics & Concepts

Episodic memoryCognitive psychologyRepresentation (politics)Computer scienceSemantic memoryCognitionSimilarity (geometry)Content-addressable memoryAssociative propertyPsychologyAssociation (psychology)NeuroscienceArtificial intelligenceArtificial neural networkPure mathematicsPoliticsLawPsychotherapistMathematicsImage (mathematics)Political scienceFace Recognition and PerceptionMemory and Neural MechanismsMemory Processes and Influences
Higher-dimensional neural representations predict better episodic memory | Litcius