3 citations · 3 across the 3 of their papers we have counts for
3 papers
Evaluating alignment between humans and neural network representations in image-based learning tasks
Can Demircan, Tankred Saanum, Leonardo Pettini +5
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. W…
Probing neural representations of scene perception in a hippocampally dependent task using artificial neural networks
Markus Frey, Christian F. Doeller, Caswell Barry
Deep artificial neural networks (DNNs) trained through backpropagation provide effective models of the mammalian visual system, accurately capturing the hierarchy of neural respons…
Human brain parcellation using time courses of instantaneous connectivity
Erik S. B. van Oort, Maarten Mennes, Tobias Navarro Schröder +5
Functional neuroimaging studies have lead to understanding the brain as a collection of spatially segregated functional networks. It is thought that each of these networks is in tu…