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Katharina Dobs
Katharina Dobs
Professor, Justus Liebig University Giessen
Bestätigte E-Mail-Adresse bei psychol.uni-giessen.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
How face perception unfolds over time
K Dobs, L Isik, D Pantazis, N Kanwisher
Nature communications 10 (1), 1258, 2019
2262019
Brain-like functional specialization emerges spontaneously in deep neural networks
K Dobs, J Martinez, AJE Kell, N Kanwisher
Science Advances 8 (11), eabl8913, 2022
1242022
Using artificial neural networks to ask ‘why’ questions of minds and brains
N Kanwisher, M Khosla, K Dobs
Trends in Neurosciences, 2023
1232023
Use and usefulness of dynamic face stimuli for face perception studies—A review of behavioral findings and methodology
K Dobs, I Bülthoff, J Schultz
Frontiers in psychology 9, 1355, 2018
1012018
Quantifying human sensitivity to spatio-temporal information in dynamic faces
K Dobs, I Bülthoff, M Breidt, QC Vuong, C Curio, J Schultz
Vision Research 100, 78-87, 2014
792014
Identity information content depends on the type of facial movement
K Dobs, I Bülthoff, J Schultz
Scientific reports 6 (1), 34301, 2016
512016
Near-optimal integration of facial form and motion
K Dobs, WJ Ma, L Reddy
Scientific reports 7 (1), 11002, 2017
432017
Task-dependent enhancement of facial expression and identity representations in human cortex
K Dobs, J Schultz, I Bülthoff, JL Gardner
NeuroImage 172, 689-702, 2018
382018
Behavioral signatures of face perception emerge in deep neural networks optimized for face recognition
K Dobs, J Yuan, J Martinez, N Kanwisher
Proceedings of the National Academy of Sciences 120 (32), e2220642120, 2023
28*2023
CNNs reveal the computational implausibility of the expertise hypothesis
N Kanwisher, P Gupta, K Dobs
Iscience 26 (2), 2023
122023
Why Are Face and Object Processing Segregated in the Human Brain? Testing Computational Hypotheses with Deep Convolutional Neural Networks
K Dobs, A Kell, I Palmer, M Cohen, N Kanwisher
Conference on Cognitive Computational Neuroscience, 2019
112019
How face perception unfolds over time. Nat Commun 10: 1258
K Dobs, L Isik, D Pantazis, N Kanwisher
92019
Using task-optimized neural networks to understand why brains have specialized processing for faces
K Dobs, AJE Kell, J Martinez, M Cohen, N Kanwisher
Journal of Vision 20 (11), 660-660, 2020
32020
Artificial intelligence meets body sense: task-driven neural networks reveal computational principles of the proprioceptive pathway
LE van Dyck, F Bremmer, K Dobs
Signal Transduction and Targeted Therapy 9 (1), 171, 2024
12024
Models of vision need some action
C Rothkopf, F Bremmer, K Fiehler, K Dobs, J Triesch
PsyArXiv, 2023
12023
Deep neural networks optimized for both face detection and face discrimination most accurately predict face-selective neurons in macaque inferior temporal cortex
K Kar, N Kanwisher, K Dobs
Conference on Cognitive Computational Neuroscience, Conference on Cognitive …, 2023
12023
Human-like face pareidolia emerges in deep neural networks optimized for face and object recognition
P Gupta, K Dobs
PLOS Computational Biology 21 (1), e1012751, 2025
2025
Idiosyncratic facial motions: Uncovering identity information in facial movements through a landmark-based analysis
H Nizamoğlu, K Dobs
Journal of Vision 24 (10), 545-545, 2024
2024
Efficient Inverse Graphics with Differentiable Generative Models Explains Trial-level Face Discriminations and Robustness of Face Perception to Unusual Viewing Angles
H Yilmaz, M Muellner, JB Tenenbaum, K Dobs, I Yildirim
Journal of Vision 24 (10), 1354-1354, 2024
2024
Using deep neural networks to test possible origins of human face perception
K Dobs
Journal of Vision 23 (9), 4678-4678, 2023
2023
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