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Hierarchical Emergence Profiles of Human-Derived Dimensions are a Fundamental Property of Deep Neural Networks

2025-05-21

Abstract excerpt

Object recognition in the human visual system is implemented within a hierarchy characterised by increasing feature complexity. Here, we investigated whether human-derived dimensions of object knowledge show a similar progressive emergence across layers in deep neural networks (DNNs), and how this emergence is shaped by architecture, learning objective, and stimulus statistics. To test this, we predicted human-der...

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Literature Corpus work
10a376b1-8947-568e-a423-1cce7e0c05be
DOI
10.1101/2025.05.19.654977
Open publication

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Hierarchical Emergence Profiles of Human-Derived Dimensions are a Fundamental Property of Deep Neural NetworksDOI 10.1101/2025.05.19.654977
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