Michael H. Herzog
Orcid: 0000-0001-5433-1030
According to our database1,
Michael H. Herzog
authored at least 32 papers
between 1998 and 2024.
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Bibliography
2024
Latent Noise Segmentation: How Neural Noise Leads to the Emergence of Segmentation and Grouping.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
2023
NeuroImage, September, 2023
Frontiers Comput. Sci., 2023
Frequency-Based Vulnerability Analysis of Deep Learning Models against Image Corruptions.
CoRR, 2023
2022
Correction: Bayesian regression explains how human participants handle parameter uncertainty.
PLoS Comput. Biol., 2022
Proceedings of the 33rd British Machine Vision Conference 2022, 2022
2021
Novelty is not surprise: Human exploratory and adaptive behavior in sequential decision-making.
PLoS Comput. Biol., 2021
PLoS Comput. Biol., 2021
2020
PLoS Comput. Biol., 2020
PLoS Comput. Biol., 2020
2019
PLoS Comput. Biol., 2019
Running Large-Scale Simulations on the Neurorobotics Platform to Understand Vision - The Case of Visual Crowding.
Frontiers Neurorobotics, 2019
2015
Targets but not flankers are suppressed in crowding as revealed by EEG frequency tagging.
NeuroImage, 2015
2014
Different colors of light lead to different adaptation and activation as determined by high-density EEG.
NeuroImage, 2014
Frontiers Comput. Neurosci., 2014
2012
Decoding stimulus-related information from single-trial EEG responses based on voltage topographies.
Pattern Recognit., 2012
PLoS Comput. Biol., 2012
2011
Corrigendum to "Electrical source dynamics in three functional localizer paradigms" [NeuroImage 53 (2010) 257-267].
NeuroImage, 2011
2010
The Geometry of Visual Perception: Retinotopic and Nonretinotopic Representations in the Human Visual System.
Proc. IEEE, 2010
2009
Non-retinotopic feature integration decreases response-locked brain activity as revealed by electrical neuroimaging.
NeuroImage, 2009
2007
2003
Local Interactions in Neural Networks Explain Global Effects in Gestalt Processing and Masking.
Neural Comput., 2003
Dynamics of neuronal populations modeled by a Wilson-Cowan system account for the transient visibility of masked stimuli.
Neurocomputing, 2003
1998
Biol. Cybern., 1998