Structured interconnectivity optimizes neural geometry for balancing specificity and generalization in object recognition.

ABSTRACT: Balancing specificity and generalization in object recognition is a significant challenge for biological and artificial visual systems. Here, we investigated how the brain addresses this challenge by examining the relationship between interconnectivity of neural networks, dimensionality of neural space, and levels of abstraction in representing objects, employing combined neurophysiological data from macaques and computational modeling. We found that higher interconnectivity within area TEa of macaques' inferior temporal (IT) cortex was associated with lower dimensionality and greater generalization, while lower interconnectivity within area TEO correlated with higher dimensionality and greater specificity. To establish a causal link, we developed a brain-inspired computational model const

SUBMITTER: Zhang Y 

PROVIDER: S-EPMC12855958 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature