Johannes Mehrer
Johannes Mehrer
PhD, MRC Cognition and Brain Sciences Unit, University of Cambridge
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Individual differences among deep neural network models
J Mehrer, CJ Spoerer, TC Kriegeskorte, Nikolaus, Kietzmann
Nature Communications 11, 2020
An ecologically motivated image dataset for deep learning yields better models of human vision
J Mehrer, CJ Spoerer, EC Jones, N Kriegeskorte, TC Kietzmann
Proceedings of the National Academy of Sciences 118 (8), 2021
Diverse deep neural networks all predict human IT well, after training and fitting
KR Storrs, TC Kietzmann, A Walther, J Mehrer, N Kriegeskorte
bioRxiv, 2020
Recurrent neural networks can explain flexible trading of speed and accuracy in biological vision
CJ Spoerer, TC Kietzmann, J Mehrer, I Charest, N Kriegeskorte
PLOS Computational Biology 16 (10), e1008215, 2020
Recurrent networks can recycle neural resources to flexibly trade speed for accuracy in visual recognition
CJ Spoerer, TC Kietzmann, J Mehrer, I Charest, N Kriegeskorte
BioRxiv, 677237, 2020
Deep neural networks trained with heavier data augmentation learn features closer to representations in hIT
A Hernández-García, J Mehrer, N Kriegeskorte, P König, TC Kietzmann
Conference on Cognitive Computational Neuroscience, 2018
Architecture matters: How well neural networks explain it representation does not depend on depth and performance alone
K Storrs, J Mehrer, A Walther, N Kriegeskorte
Conference on Cognitive Computational Neuroscience (CCN), 2017
Computational models of the human visual cortex: on individual differences and ecologically valid input statistics
J Mehrer
University of Cambridge, 2020
Architecture Matters: Training and Structure Both Affect How Well Deep Networks Predict Cortical Representations of Objects, Places and Faces
K Storrs, J Mehrer, A Walther, N Kriegeskorte
PERCEPTION 48, 198-198, 2019
Mokset: A shared stimulus set for ob ect vision research
SR Mok, J Mehrer, N Kriegeskorte
Modelling Human Visual Uncertainty using Bayesian Deep Neural Networks
P McClure, TC Kietzmann, J Mehrer, N Kriegeskorte
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