Fred H. Hamker

62 papers C 1Misc 1Journal 41Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Discomfort detection during automated driving using temporal transformers. Frontiers Comput. Sci. Maha Assarzadeh, Franziska Hartwich, Julien Vitay, Franziska Bocklisch, Fred H. Hamker
2025	J	`jnl`	A systematic analysis of the joint effects of ganglion cells, lagged LGN cells, and intercortical inhibition on spatiotemporal processing and direction selectivity. Neural Networks René Larisch, Fred H. Hamker
2024	—	`conf`	A Brain-Inspired Model of Reaching and Adaptation on the iCub Robot. ROSE Torsten Fietzek, Christoph Ruff, Fred H. Hamker
2024	J	`jnl`	Re-Thinking the Organization of Cortico-Basal Ganglia-Thalamo-Cortical Loops. Cogn. Comput. Javier Baladron, Fred H. Hamker
2024	—	`conf`	Robustness of Biologically Grounded Neural Networks Against Image Perturbations. ICANN (10) Michael Teichmann, René Larisch, Fred H. Hamker
2023	J	`jnl`	A large-scale neurocomputational model of spatial cognition integrating memory with vision. Neural Networks Micha Burkhardt, Julia Bergelt, Lorenz Gönner, Helge Ülo Dinkelbach, Frederik Beuth, Alex Schwarz, Andrej Bicanski, Neil Burgess, Fred H. Hamker
2023	J	`jnl`	Correction: The contribution of the basal ganglia and cerebellum to motor learning: A neuro-computational approach. PLoS Comput. Biol. Javier Baladron, Julien Vitay, Torsten Fietzek, Fred H. Hamker
2023	J	`jnl`	Detecting Anomalies in System Logs With a Compact Convolutional Transformer. IEEE Access René Larisch, Julien Vitay, Fred H. Hamker
2023	—	`conf`	Exploring the Role of Feedback Inhibition for the Robustness Against Corruptions on Event-Based Data. ICANN (8) René Larisch, Lucien Berger, Fred H. Hamker
2023	J	`jnl`	The contribution of the basal ganglia and cerebellum to motor learning: A neuro-computational approach. PLoS Comput. Biol. Javier Baladron, Julien Vitay, Torsten Fietzek, Fred H. Hamker
2022	—	`conf`	ANNarchy - iCub: An Interface for Easy Interaction between Neural Network Models and the iCub Robot. CIVEMSA Torsten Fietzek, Helge Ülo Dinkelbach, Fred H. Hamker
2022	J	`jnl`	Auto-Selection of an Optimal Sparse Matrix Format in the Neuro-Simulator ANNarchy. Frontiers Neuroinformatics Helge Ülo Dinkelbach, Badr-Eddine Bouhlal, Julien Vitay, Fred H. Hamker
2022	J	`jnl`	BOLD Monitoring in the Neural Simulator ANNarchy. Frontiers Neuroinformatics Oliver Maith, Helge Ülo Dinkelbach, Javier Baladron, Julien Vitay, Fred H. Hamker
2022	Misc	`conf`	Deep Neural Networks for Geometric Shape Deformation. KI Aida Farahani, Julien Vitay, Fred H. Hamker
2021	J	`jnl`	Optimal attention tuning in a neuro-computational model of the visual cortex-basal ganglia-prefrontal cortex loop. Neural Networks Oliver Maith, Alex Schwarz, Fred H. Hamker
2021	J	`jnl`	Performance of biologically grounded models of the early visual system on standard object recognition tasks. Neural Networks Michael Teichmann, René Larisch, Fred H. Hamker
2021	J	`jnl`	Sensory coding and contrast invariance emerge from the control of plastic inhibition over emergent selectivity. PLoS Comput. Biol. René Larisch, Lorenz Gönner, Michael Teichmann, Fred H. Hamker
2020	J	`jnl`	A Humanoid Robot Learns to Recover Perturbation During Swinging Motion. IEEE Trans. Syst. Man Cybern. Syst. Tran Duy Hoa, Fred H. Hamker, John Nassour
2020	J	`jnl`	Concrete Action Representation Model: From Neuroscience to Robotics. IEEE Trans. Cogn. Dev. Syst. John Nassour, Tran Duy Hoa, Payam Atoofi, Fred H. Hamker
2020	—	`conf`	Monocular 3D Object Detection Using Feature Map Transformation: Towards Learning Perspective-Invariant Scene Representations. IRC Enrico Schröder, Mirko Mählisch, Julien Vitay, Fred H. Hamker
2019	J	`jnl`	A Neural Spiking Approach Compared to Deep Feedforward Networks on Stepwise Pixel Erasement. CoRR René Larisch, Michael Teichmann, Fred H. Hamker
2019	—	`conf`	Enfolded Textile Actuator for Soft Wearable Robots. CBS John Nassour, Fred H. Hamker
2018	—	`conf`	A Neural Spiking Approach Compared to Deep Feedforward Networks on Stepwise Pixel Erasement. ICANN (1) René Larisch, Michael Teichmann, Fred H. Hamker
2018	—	`conf`	Design of new Sensory Soft Hand: Combining air-pump actuation with superimposed curvature and pressure sensors. RoboSoft John Nassour, Vishal Ghadiya, Vincent Hugel, Fred H. Hamker
2018	—	`conf`	Gait Transition Between Simple and Complex Locomotion in Humanoid Robots. SAB Sidhdharthkumar Vaghani, Yuxiang Pan, Fred H. Hamker, John Nassour
2018	—	`conf`	Humanoid Robot Grasping with a Soft Gripper Through a Learned Inverse Model of a Central Pattern Generator and Tactile Servoing. Humanoids Yuxiang Pan, Fred H. Hamker, John Nassour
2018	J	`jnl`	Learning of Central Pattern Generator Coordination in Robot Drawing. Frontiers Neurorobotics Payam Atoofi, Fred H. Hamker, John Nassour
2018	—	`conf`	Motor Program Learning for Humanoid Robot Drawing. Humanoids Deepanshu Makkar, Payam Atoofi, Fred H. Hamker, John N. Nassour
2017	J	`jnl`	Predictive Place-Cell Sequences for Goal-Finding Emerge from Goal Memory and the Cognitive Map: A Computational Model. Frontiers Comput. Neurosci. Lorenz Gönner, Julien Vitay, Fred H. Hamker
2017	—	`conf`	Training a deep policy gradient-based neural network with asynchronous learners on a simulated robotic problem. GI-Jahrestagung Winfried Lötzsch, Julien Vitay, Fred H. Hamker
2016	—	`conf`	Fast and Slow Learning in a Neuro-Computational Model of Category Acquisition. ICANN (1) Francesc Villagrasa, Javier Baladron, Fred H. Hamker
2016	J	`jnl`	Suppression of displacement detection in the presence and absence of eye movements: a neuro-computational perspective. Biol. Cybern. Julia Bergelt, Fred H. Hamker
2016	—	`conf`	The Performance of a Biologically Plausible Model of Visual Attention to Localize Objects in a Virtual Reality. ICANN (2) Amirhossein Jamalian, Frederik Beuth, Fred H. Hamker
2015	J	`jnl`	A spiking neural network based on the basal ganglia functional anatomy. Neural Networks Javier Baladron, Fred H. Hamker
2015	J	`jnl`	ANNarchy: a code generation approach to neural simulations on parallel hardware. Frontiers Neuroinformatics Julien Vitay, Helge U. Dinkelbach, Fred H. Hamker
2015	J	`jnl`	Competition improves robustness against loss of information. Frontiers Comput. Neurosci. Arash Kermani Kolankeh, Michael Teichmann, Fred H. Hamker
2015	J	`jnl`	Differential contributions of the globus pallidus and ventral thalamus to stimulus-response learning in humans. NeuroImage Henning Schroll, Andreas Horn, Christine Gröschel, Christof Brücke, Götz Lütjens, Gerd-Helge Schneider, Joachim K. Krauss, Andrea A. Kühn, Fred H. Hamker
2015	J	`jnl`	Human Capacities for Emotion Recognition and their Implications for Computer Vision. i-com Benny Liebold, René Richter, Michael Teichmann, Fred H. Hamker, Peter Ohler
2015	J	`jnl`	Spatial Cognition of Humans and Brain-inspired Artificial Agents. Künstliche Intell. Fred H. Hamker
2014	J	`jnl`	A Hierarchical System for a Distributed Representation of the Peripersonal Space of a Humanoid Robot. IEEE Trans. Auton. Ment. Dev. 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
2014	J	`jnl`	Brain circuits underlying visual stability across eye movements - converging evidence for a neuro-computational model of area LIP. Frontiers Comput. Neurosci. Arnold Ziesche, Fred H. Hamker
2014	C	`conf`	How Visual Attention and Suppression Facilitate Object Recognition? ICANN Frederik Beuth, Amirhossein Jamalian, Fred H. Hamker
2014	J	`jnl`	Timing and expectation of reward: a neuro-computational model of the afferents to the ventral tegmental area. Frontiers Neurorobotics Julien Vitay, Fred H. Hamker
2012	J	`jnl`	Learning Invariance from Natural Images Inspired by Observations in the Primary Visual Cortex. Neural Comput. Michael Teichmann, Jan Wiltschut, Fred H. Hamker
2012	J	`jnl`	Neural Learning of Cognitive Control. Künstliche Intell. Fred H. Hamker
2012	J	`jnl`	Working memory and response selection: A computational account of interactions among cortico-basalganglio-thalamic loops. Neural Networks Henning Schroll, Julien Vitay, Fred H. Hamker
2011	J	`jnl`	A Neuroscientific View on the Role of Emotions in Behaving Cognitive Agents. Künstliche Intell. Julien Vitay, Fred H. Hamker
2010	J	`jnl`	A computational model of basal ganglia and its role in memory retrieval in rewarded visual memory tasks. Frontiers Comput. Neurosci. Julien Vitay, Fred H. Hamker
2009	J	`jnl`	Biological Models of Reinforcement Learning. Künstliche Intell. Julien Vitay, Jérémy Fix, Fred H. Hamker, Henning Schroll, Frederik Beuth
2008	J	`jnl`	Sustained Activities and Retrieval in a Computational Model of the Perirhinal Cortex. J. Cogn. Neurosci. Julien Vitay, Fred H. Hamker
2008	J	`jnl`	The Peri-Saccadic Perception of Objects and Space. PLoS Comput. Biol. Fred H. Hamker, Marc Zirnsak, Dirk Calow, Markus Lappe
2007	—	`conf`	On the Role of Dopamine in Cognitive Vision. WAPCV Julien Vitay, Fred H. Hamker
2006	J	`jnl`	V4 receptive field dynamics as predicted by a systems-level model of visual attention using feedback from the frontal eye field. Neural Networks Fred H. Hamker, Marc Zirnsak
2005	—	`conf`	A Population-Based Inference Framework for Feature-Based Attention in Natural Scenes. BVAI Fred H. Hamker
2005	J	`jnl`	The emergence of attention by population-based inference and its role in distributed processing and cognitive control of vision. Comput. Vis. Image Underst. Fred H. Hamker
2004	—	`conf`	Modeling Attention: From Computational Neuroscience to Computer Vision. WAPCV Fred H. Hamker
2004	J	`jnl`	Predictions of a model of spatial attention using sum- and max-pooling functions. Neurocomputing Fred H. Hamker
2002	—	`conf`	Object Detection in Natural Scenes by Feedback. Biologically Motivated Computer Vision Fred H. Hamker, James Worcester
2001	J	`jnl`	Life-long learning Cell Structures--continuously learning without catastrophic interference. Neural Networks Fred H. Hamker
2000	—	`conf`	About the Analysis of Septic Shock Patient Data. ISMDA Jürgen Paetz, Fred H. Hamker, Sven Thöne
2000	J	`jnl`	Visuelle Aufmerksamkeit und lebenslanges Lernen im Wahrnehmungs-Handlungs-Zyklus. Künstliche Intell. Fred H. Hamker
1998	J	`jnl`	Comparing neural networks: a benchmark on growing neural gas, growing cell structures, and fuzzy ARTMAP. IEEE Trans. Neural Networks Dietmar Heinke, Fred H. Hamker