Modeling perceptual learning: difficulties and how they can be overcome. - Michael H. Herzog; Manfred Fahle (Biol. Cybern., 1998)

Dynamics of neuronal populations modeled by a Wilson-Cowan system account for the transient visibility of masked stimuli. - Udo Ernst; Axel Etzold; Michael H. Herzog; Christian W. Eurich (Neurocomputing, 2003)

Local Interactions in Neural Networks Explain Global Effects in Gestalt Processing and Masking. - Michael H. Herzog; Udo A. Ernst; Axel Etzold; Christian W. Eurich (Neural Comput., 2003)

Feature Fusion Reveals Slow and Fast Visual Memories. - Frank Scharnowski; Frouke Hermens; Thomas Kammer; Haluk Ögmen; Michael H. Herzog (J. Cogn. Neurosci., 2007)

Consciousness & the small network argument. - Michael H. Herzog; Michael Esfeld; Wulfram Gerstner (Neural Networks, 2007)

Non-retinotopic feature integration decreases response-locked brain activity as revealed by electrical neuroimaging. - Gijs Plomp; Manuel R. Mercier; Thomas U. Otto; Olaf Blanke; Michael H. Herzog (NeuroImage, 2009)

Electrical source dynamics in three functional localizer paradigms. - Gijs Plomp; Christoph M. Michel; Michael H. Herzog (NeuroImage, 2010)

The Geometry of Visual Perception: Retinotopic and Nonretinotopic Representations in the Human Visual System. - Haluk Ögmen; Michael H. Herzog (Proc. IEEE, 2010)

Corrigendum to "Electrical source dynamics in three functional localizer paradigms" [NeuroImage 53 (2010) 257-267]. - Gijs Plomp; Christoph M. Michel; Michael H. Herzog (NeuroImage, 2011)

Paradoxical Evidence Integration in Rapid Decision Processes. - Johannes Rüter; Nicolas Marcille; Henning Sprekeler; Wulfram Gerstner; Michael H. Herzog (PLoS Comput. Biol., 2012)

Decoding stimulus-related information from single-trial EEG responses based on voltage topographies. - Athina Tzovara; Micah M. Murray; Gijs Plomp; Michael H. Herzog; Christoph M. Michel; Marzia De Lucia (Pattern Recognit., 2012)

Why vision is not both hierarchical and feedforward. - Michael H. Herzog; Aaron Michael Clarke (Frontiers Comput. Neurosci., 2014)

Neural correlates of visual crowding. - Vitaly Chicherov; Gijs Plomp; Michael H. Herzog (NeuroImage, 2014)

Different colors of light lead to different adaptation and activation as determined by high-density EEG. - Mirjam Münch; Gijs Plomp; Evelina Thunell; A. Kawasaki; Jean-Louis Scartezzini; Michael H. Herzog (NeuroImage, 2014)

Targets but not flankers are suppressed in crowding as revealed by EEG frequency tagging. - Vitaly Chicherov; Michael H. Herzog (NeuroImage, 2015)

Running Large-Scale Simulations on the Neurorobotics Platform to Understand Vision - The Case of Visual Crowding. - Alban Bornet; Jacques Kaiser; Alexander Kroner; Egidio Falotico; Alessandro Ambrosano; Kepa Cantero; Michael H. Herzog; Gregory Francis (Frontiers Neurorobotics, 2019)

Beyond Bouma's window: How to explain global aspects of crowding? - Adrien Doerig; Alban Bornet; Ruth Rosenholtz; Gregory Francis; Aaron Michael Clarke; Michael H. Herzog (PLoS Comput. Biol., 2019)

Risk prediction error signaling: A two-component response? - Marc M. Lauffs; Sophie A. Geoghan; Ophélie Favrod; Michael H. Herzog; Kerstin Preuschoff (NeuroImage, 2020)

Capsule networks as recurrent models of grouping and segmentation. - Adrien Doerig; Lynn Schmittwilken; Bilge Sayim; Mauro Manassi; Michael H. Herzog (PLoS Comput. Biol., 2020)

Bayesian regression explains how human participants handle parameter uncertainty. - Jannes Jegminat; Maya A. Jastrzebowska; Matthew V. Pachai; Michael H. Herzog; Jean-Pascal Pfister (PLoS Comput. Biol., 2020)

Bio-inspired Robustness: A Review. - Harshitha Machiraju; Oh-Hyeon Choung; Pascal Frossard; Michael H. Herzog (CoRR, 2021)

Unraveling brain interactions in vision: The example of crowding. - Maya A. Jastrzebowska; Vitaly Chicherov; Bogdan Draganski; Michael H. Herzog (NeuroImage, 2021)

Shrinking Bouma's window: How to model crowding in dense displays. - Alban Bornet; Adrien Doerig; Michael H. Herzog; Gregory Francis; Erik Van der Burg (PLoS Comput. Biol., 2021)

Novelty is not surprise: Human exploratory and adaptive behavior in sequential decision-making. - He A. Xu; Alireza Modirshanechi; Marco P. Lehmann; Wulfram Gerstner; Michael H. Herzog (PLoS Comput. Biol., 2021)

CLAD: A Contrastive Learning based Approach for Background Debiasing. - Ke Wang; Harshitha Machiraju; Oh-Hyeon Choung; Michael H. Herzog; Pascal Frossard (BMVC, 2022)

Empirical Advocacy of Bio-inspired Models for Robust Image Recognition. - Harshitha Machiraju; Oh-Hyeon Choung; Michael H. Herzog; Pascal Frossard (CoRR, 2022)

A comment on Guo et al. [arXiv: 2206.11228]. - Ben Lonnqvist; Harshitha Machiraju; Michael H. Herzog (CoRR, 2022)

Correction: Bayesian regression explains how human participants handle parameter uncertainty. - Jannes Jegminat; Maya A. Jastrzebowska; Matthew V. Pachai; Michael H. Herzog; Jean-Pascal Pfister (PLoS Comput. Biol., 2022)

Frequency-Based Vulnerability Analysis of Deep Learning Models against Image Corruptions. - Harshitha Machiraju; Michael H. Herzog; Pascal Frossard (CoRR, 2023)

Specific Gestalt principles cannot explain (un)crowding. - Oh-Hyeon Choung; Einat Rashal; Marina Kunchulia; Michael H. Herzog (Frontiers Comput. Sci., 2023)

Pre-stimulus alpha activity modulates long-lasting unconscious feature integration. - Maëlan Q. Menétrey; Michael H. Herzog; David Pascucci (NeuroImage, 2023)

Latent Noise Segmentation: How Neural Noise Leads to the Emergence of Segmentation and Grouping. - Ben Lonnqvist; Zhengqing Wu; Michael H. Herzog (ICML, 2024)

Contour Integration Underlies Human-Like Vision. - Ben Lonnqvist; Elsa Scialom; Abdülkadir Gökce; Zehra Merchant; Michael H. Herzog; Martin Schrimpf (CoRR, 2025)