Region selection: segmentation, classification and task relevance in a single grouping mechanism. - Fred Henrik Hamker; Horst-Michael Gross (ICNN, 1996)

Task-relevant relaxation network for visuo-motory systems. - Fred Henrik Hamker; Horst-Michael Groß (ICPR, 1996)

Object Selection with Dynamic Neural Maps. - Fred Henrik Hamker; Horst-Michael Gross (ICANN, 1997)

Comparing neural networks: a benchmark on growing neural gas, growing cell structures, and fuzzy ARTMAP. - Dietmar Heinke; Fred H. Hamker (IEEE Trans. Neural Networks, 1998)

Visuelle Aufmerksamkeit und lebenslanges Lernen im Wahrnehmungs-Handlungs-Zyklus. - Fred Henrik Hamker (1999)

About the Analysis of Septic Shock Patient Data. - Jürgen Paetz; Fred H. Hamker; Sven Thöne (ISMDA, 2000)

Visuelle Aufmerksamkeit und lebenslanges Lernen im Wahrnehmungs-Handlungs-Zyklus. - Fred H. Hamker (Künstliche Intell., 2000)

Life-long learning Cell Structures–continuously learning without catastrophic interference. - Fred H. Hamker (Neural Networks, 2001)

Object Detection in Natural Scenes by Feedback. - Fred H. Hamker; James Worcester (Biologically Motivated Computer Vision, 2002)

Modeling Attention: From Computational Neuroscience to Computer Vision. - Fred H. Hamker (WAPCV, 2004)

Predictions of a model of spatial attention using sum- and max-pooling functions. - Fred H. Hamker (Neurocomputing, 2004)

A Population-Based Inference Framework for Feature-Based Attention in Natural Scenes. - Fred H. Hamker (BVAI, 2005)

The emergence of attention by population-based inference and its role in distributed processing and cognitive control of vision. - Fred H. Hamker (Comput. Vis. Image Underst., 2005)

V4 receptive field dynamics as predicted by a systems-level model of visual attention using feedback from the frontal eye field. - Fred H. Hamker; Marc Zirnsak (Neural Networks, 2006)

On the Role of Dopamine in Cognitive Vision. - Julien Vitay; Fred H. Hamker (WAPCV, 2007)

Sustained Activities and Retrieval in a Computational Model of the Perirhinal Cortex. - Julien Vitay; Fred H. Hamker (J. Cogn. Neurosci., 2008)

The Peri-Saccadic Perception of Objects and Space. - Fred H. Hamker; Marc Zirnsak; Dirk Calow; Markus Lappe (PLoS Comput. Biol., 2008)

Biological Models of Reinforcement Learning. - Julien Vitay; Jérémy Fix; Fred H. Hamker; Henning Schroll; Frederik Beuth (Künstliche Intell., 2009)

A computational model of basal ganglia and its role in memory retrieval in rewarded visual memory tasks. - Julien Vitay; Fred H. Hamker (Frontiers Comput. Neurosci., 2010)

A Neuroscientific View on the Role of Emotions in Behaving Cognitive Agents. - Julien Vitay; Fred H. Hamker (Künstliche Intell., 2011)

Neural Learning of Cognitive Control. - Fred H. Hamker (Künstliche Intell., 2012)

Learning Invariance from Natural Images Inspired by Observations in the Primary Visual Cortex. - Michael Teichmann; Jan Wiltschut; Fred H. Hamker (Neural Comput., 2012)

Working memory and response selection: A computational account of interactions among cortico-basalganglio-thalamic loops. - Henning Schroll; Julien Vitay; Fred H. Hamker (Neural Networks, 2012)

How Visual Attention and Suppression Facilitate Object Recognition? - Frederik Beuth; Amirhossein Jamalian; Fred H. Hamker (ICANN, 2014)

Brain circuits underlying visual stability across eye movements - converging evidence for a neuro-computational model of area LIP. - Arnold Ziesche; Fred H. Hamker (Frontiers Comput. Neurosci., 2014)

Timing and expectation of reward: a neuro-computational model of the afferents to the ventral tegmental area. - Julien Vitay; Fred H. Hamker (Frontiers Neurorobotics, 2014)

A Hierarchical System for a Distributed Representation of the Peripersonal Space of a Humanoid Robot. - Marco Antonelli; Agostino Gibaldi; Frederik Beuth; Angel Juan Duran; Andrea Canessa; Manuela Chessa; Fabio Solari; Angel P. del Pobil; Fred H. Hamker; Eris Chinellato; Silvio P. Sabatini (IEEE Trans. Auton. Ment. Dev., 2014)

Competition improves robustness against loss of information. - Arash Kermani Kolankeh; Michael Teichmann; Fred H. Hamker (Frontiers Comput. Neurosci., 2015)

ANNarchy: a code generation approach to neural simulations on parallel hardware. - Julien Vitay; Helge U. Dinkelbach; Fred H. Hamker (Frontiers Neuroinformatics, 2015)

Human Capacities for Emotion Recognition and their Implications for Computer Vision. - Benny Liebold; René Richter; Michael Teichmann; Fred H. Hamker; Peter Ohler (i-com, 2015)

Spatial Cognition of Humans and Brain-inspired Artificial Agents. - Fred H. Hamker (Künstliche Intell., 2015)

Differential contributions of the globus pallidus and ventral thalamus to stimulus-response learning in humans. - Henning Schroll; Andreas Horn; Christine Gröschel; Christof Brücke; Götz Lütjens; Gerd-Helge Schneider; Joachim K. Krauss; Andrea A. Kühn; Fred H. Hamker (NeuroImage, 2015)

A spiking neural network based on the basal ganglia functional anatomy. - Javier Baladron; Fred H. Hamker (Neural Networks, 2015)

The Performance of a Biologically Plausible Model of Visual Attention to Localize Objects in a Virtual Reality. - Amirhossein Jamalian; Frederik Beuth; Fred H. Hamker (ICANN (2), 2016)

Fast and Slow Learning in a Neuro-Computational Model of Category Acquisition. - Francesc Villagrasa; Javier Baladron; Fred H. Hamker (ICANN (1), 2016)

Suppression of displacement detection in the presence and absence of eye movements: a neuro-computational perspective. - Julia Bergelt; Fred H. Hamker (Biol. Cybern., 2016)

Training a deep policy gradient-based neural network with asynchronous learners on a simulated robotic problem. - Winfried Lötzsch; Julien Vitay; Fred H. Hamker (GI-Jahrestagung, 2017)

Predictive Place-Cell Sequences for Goal-Finding Emerge from Goal Memory and the Cognitive Map: A Computational Model. - Lorenz Gönner; Julien Vitay; Fred H. Hamker (Frontiers Comput. Neurosci., 2017)

Motor Program Learning for Humanoid Robot Drawing. - Deepanshu Makkar; Payam Atoofi; Fred H. Hamker; John N. Nassour (Humanoids, 2018)

Humanoid Robot Grasping with a Soft Gripper Through a Learned Inverse Model of a Central Pattern Generator and Tactile Servoing. - Yuxiang Pan; Fred H. Hamker; John Nassour (Humanoids, 2018)

A Neural Spiking Approach Compared to Deep Feedforward Networks on Stepwise Pixel Erasement. - René Larisch; Michael Teichmann; Fred H. Hamker (ICANN (1), 2018)

Design of new Sensory Soft Hand: Combining air-pump actuation with superimposed curvature and pressure sensors. - John Nassour; Vishal Ghadiya; Vincent Hugel; Fred H. Hamker (RoboSoft, 2018)

Gait Transition Between Simple and Complex Locomotion in Humanoid Robots. - Sidhdharthkumar Vaghani; Yuxiang Pan; Fred H. Hamker; John Nassour (SAB, 2018)

Learning of Central Pattern Generator Coordination in Robot Drawing. - Payam Atoofi; Fred H. Hamker; John Nassour (Frontiers Neurorobotics, 2018)

Enfolded Textile Actuator for Soft Wearable Robots. - John Nassour; Fred H. Hamker (CBS, 2019)

Monocular 3D Object Detection Using Feature Map Transformation: Towards Learning Perspective-Invariant Scene Representations. - Enrico Schröder; Mirko Mählisch; Julien Vitay; Fred H. Hamker (IRC, 2020)

Concrete Action Representation Model: From Neuroscience to Robotics. - John Nassour; Tran Duy Hoa; Payam Atoofi; Fred H. Hamker (IEEE Trans. Cogn. Dev. Syst., 2020)

A Humanoid Robot Learns to Recover Perturbation During Swinging Motion. - Tran Duy Hoa; Fred H. Hamker; John Nassour (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Optimal attention tuning in a neuro-computational model of the visual cortex-basal ganglia-prefrontal cortex loop. - Oliver Maith; Alex Schwarz; Fred H. Hamker (Neural Networks, 2021)

Performance of biologically grounded models of the early visual system on standard object recognition tasks. - Michael Teichmann; René Larisch; Fred H. Hamker (Neural Networks, 2021)

Sensory coding and contrast invariance emerge from the control of plastic inhibition over emergent selectivity. - René Larisch; Lorenz Gönner; Michael Teichmann; Fred H. Hamker (PLoS Comput. Biol., 2021)

ANNarchy - iCub: An Interface for Easy Interaction between Neural Network Models and the iCub Robot. - Torsten Fietzek; Helge Ulo Dinkelbach; Fred H. Hamker (CIVEMSA, 2022)

Deep Neural Networks for Geometric Shape Deformation. - Aida Farahani; Julien Vitay; Fred H. Hamker (KI, 2022)

Auto-Selection of an Optimal Sparse Matrix Format in the Neuro-Simulator ANNarchy. - Helge Ulo Dinkelbach; Badr-Eddine Bouhlal; Julien Vitay; Fred H. Hamker (Frontiers Neuroinformatics, 2022)

BOLD Monitoring in the Neural Simulator ANNarchy. - Oliver Maith; Helge Ulo Dinkelbach; Javier Baladron; Julien Vitay; Fred H. Hamker (Frontiers Neuroinformatics, 2022)

Exploring the Role of Feedback Inhibition for the Robustness Against Corruptions on Event-Based Data. - René Larisch; Lucien Berger; Fred H. Hamker (ICANN (8), 2023)

Detecting Anomalies in System Logs With a Compact Convolutional Transformer. - René Larisch; Julien Vitay; Fred H. Hamker (IEEE Access, 2023)

The contribution of the basal ganglia and cerebellum to motor learning: A neuro-computational approach. - Javier Baladron; Julien Vitay; Torsten Fietzek; Fred H. Hamker (PLoS Comput. Biol., 2023)

Correction: The contribution of the basal ganglia and cerebellum to motor learning: A neuro-computational approach. - Javier Baladron; Julien Vitay; Torsten Fietzek; Fred H. Hamker (PLoS Comput. Biol., 2023)

A large-scale neurocomputational model of spatial cognition integrating memory with vision. - Micha Burkhardt; Julia Bergelt; Lorenz Gönner; Helge Ulo Dinkelbach; Frederik Beuth; Alex Schwarz; Andrej Bicanski; Neil Burgess; Fred H. Hamker (Neural Networks, 2023)

Robustness of Biologically Grounded Neural Networks Against Image Perturbations. - Michael Teichmann; René Larisch; Fred H. Hamker (ICANN (10), 2024)

A Brain-Inspired Model of Reaching and Adaptation on the iCub Robot. - Torsten Fietzek; Christoph Ruff; Fred H. Hamker (ROSE, 2024)

Re-Thinking the Organization of Cortico-Basal Ganglia-Thalamo-Cortical Loops. - Javier Baladron; Fred H. Hamker (Cogn. Comput., 2024)

A systematic analysis of the joint effects of ganglion cells, lagged LGN cells, and intercortical inhibition on spatiotemporal processing and direction selectivity. - René Larisch; Fred H. Hamker (Neural Networks, 2025)