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Christian F. Doeller

2 accepted papers

2024

Evaluating alignment between humans and neural network representations in image-based learning tasks

NeurIPS 2024poster

Humans represent scenes and objects in rich feature spaces, carrying information that allows us to generalise about category memberships and abstract functions with few examples. What determines whether a neural network model generalises like a human? We tested how well the representations of $86$ p…

2023

Probing Neural Representations of Scene Perception in a Hippocampally Dependent Task Using Artificial Neural Networks

CVPR 2023poster

Deep artificial neural networks (DNNs) trained through backpropagation provide effective models of the mammalian visual system, accurately capturing the hierarchy of neural responses through primary visual cortex to inferior temporal cortex (IT). However, the ability of these networks to explain rep…

Cited by 3SourcePDFScholar