Fred H. Hamker

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 30

Top Topics

Computational Model

Shape Deformation

Top Venues

Neural Networks

Frontiers Comput. Neurosci.

Frontiers Neuroinformatics

PLoS Comput. Biol.

Publications

Javier Baladron, Fred H. Hamker
Re-Thinking the Organization of Cortico-Basal Ganglia-Thalamo-Cortical Loops. Cogn. Comput. 16 (5) (2024)
Torsten Fietzek, Christoph Ruff, Fred H. Hamker
A Brain-Inspired Model of Reaching and Adaptation on the iCub Robot. ROSE (2024)
Javier Baladron, Julien Vitay, Torsten Fietzek, Fred H. Hamker
The contribution of the basal ganglia and cerebellum to motor learning: A neuro-computational approach. PLoS Comput. Biol. 19 (4) (2023)
René Larisch, Lucien Berger, Fred H. Hamker
Exploring the Role of Feedback Inhibition for the Robustness Against Corruptions on Event-Based Data. ICANN (8) (2023)
Javier Baladron, Julien Vitay, Torsten Fietzek, Fred H. Hamker
Correction: The contribution of the basal ganglia and cerebellum to motor learning: A neuro-computational approach. PLoS Comput. Biol. 19 (6) (2023)
Micha Burkhardt, Julia Bergelt, Lorenz Gönner, Helge Ulo Dinkelbach, Frederik Beuth, Alex Schwarz, Andrej Bicanski, Neil Burgess, Fred H. Hamker
A large-scale neurocomputational model of spatial cognition integrating memory with vision. Neural Networks 167 (2023)
René Larisch, Julien Vitay, Fred H. Hamker
Detecting Anomalies in System Logs With a Compact Convolutional Transformer. IEEE Access 11 (2023)
Torsten Fietzek, Helge Ulo Dinkelbach, Fred H. Hamker
ANNarchy - iCub: An Interface for Easy Interaction between Neural Network Models and the iCub Robot. CIVEMSA (2022)
Helge Ulo Dinkelbach, Badr-Eddine Bouhlal, Julien Vitay, Fred H. Hamker
Auto-Selection of an Optimal Sparse Matrix Format in the Neuro-Simulator ANNarchy. Frontiers Neuroinformatics 16 (2022)
Aida Farahani, Julien Vitay, Fred H. Hamker
Deep Neural Networks for Geometric Shape Deformation. KI (2022)
Oliver Maith, Helge Ulo Dinkelbach, Javier Baladron, Julien Vitay, Fred H. Hamker
BOLD Monitoring in the Neural Simulator ANNarchy. Frontiers Neuroinformatics 16 (2022)
Oliver Maith, Alex Schwarz, Fred H. Hamker
Optimal attention tuning in a neuro-computational model of the visual cortex-basal ganglia-prefrontal cortex loop. Neural Networks 142 (2021)
Michael Teichmann, René Larisch, Fred H. Hamker
Performance of biologically grounded models of the early visual system on standard object recognition tasks. Neural Networks 144 (2021)
René Larisch, Lorenz Gönner, Michael Teichmann, Fred H. Hamker
Sensory coding and contrast invariance emerge from the control of plastic inhibition over emergent selectivity. PLoS Comput. Biol. 17 (11) (2021)
Enrico Schröder, Mirko Mählisch, Julien Vitay, Fred H. Hamker
Monocular 3D Object Detection Using Feature Map Transformation: Towards Learning Perspective-Invariant Scene Representations. IRC (2020)
Tran Duy Hoa, Fred H. Hamker, John Nassour
A Humanoid Robot Learns to Recover Perturbation During Swinging Motion. IEEE Trans. Syst. Man Cybern. Syst. 50 (10) (2020)
John Nassour, Tran Duy Hoa, Payam Atoofi, Fred H. Hamker
Concrete Action Representation Model: From Neuroscience to Robotics. IEEE Trans. Cogn. Dev. Syst. 12 (2) (2020)
René Larisch, Michael Teichmann, Fred H. Hamker
A Neural Spiking Approach Compared to Deep Feedforward Networks on Stepwise Pixel Erasement. CoRR (2019)
John Nassour, Fred H. Hamker
Enfolded Textile Actuator for Soft Wearable Robots. CBS (2019)
Deepanshu Makkar, Payam Atoofi, Fred H. Hamker, John N. Nassour
Motor Program Learning for Humanoid Robot Drawing. Humanoids (2018)
Yuxiang Pan, Fred H. Hamker, John Nassour
Humanoid Robot Grasping with a Soft Gripper Through a Learned Inverse Model of a Central Pattern Generator and Tactile Servoing. Humanoids (2018)
Payam Atoofi, Fred H. Hamker, John Nassour
Learning of Central Pattern Generator Coordination in Robot Drawing. Frontiers Neurorobotics 12 (2018)
René Larisch, Michael Teichmann, Fred H. Hamker
A Neural Spiking Approach Compared to Deep Feedforward Networks on Stepwise Pixel Erasement. ICANN (1) (2018)
Sidhdharthkumar Vaghani, Yuxiang Pan, Fred H. Hamker, John Nassour
Gait Transition Between Simple and Complex Locomotion in Humanoid Robots. SAB (2018)
John Nassour, Vishal Ghadiya, Vincent Hugel, Fred H. Hamker
Design of new Sensory Soft Hand: Combining air-pump actuation with superimposed curvature and pressure sensors. RoboSoft (2018)
Lorenz Gönner, Julien Vitay, Fred H. Hamker
Predictive Place-Cell Sequences for Goal-Finding Emerge from Goal Memory and the Cognitive Map: A Computational Model. Frontiers Comput. Neurosci. 11 (2017)
Winfried Lötzsch, Julien Vitay, Fred H. Hamker
Training a deep policy gradient-based neural network with asynchronous learners on a simulated robotic problem. GI-Jahrestagung (2017)
Julia Bergelt, Fred H. Hamker
Suppression of displacement detection in the presence and absence of eye movements: a neuro-computational perspective. Biol. Cybern. 110 (1) (2016)
Amirhossein Jamalian, Frederik Beuth, Fred H. Hamker
The Performance of a Biologically Plausible Model of Visual Attention to Localize Objects in a Virtual Reality. ICANN (2) (2016)
Francesc Villagrasa, Javier Baladron, Fred H. Hamker
Fast and Slow Learning in a Neuro-Computational Model of Category Acquisition. ICANN (1) (2016)
Henning Schroll, Andreas Horn, Christine Gröschel, Christof Brücke, Götz Lütjens, Gerd-Helge Schneider, Joachim K. Krauss, Andrea A. Kühn, Fred H. Hamker
Differential contributions of the globus pallidus and ventral thalamus to stimulus-response learning in humans. NeuroImage 122 (2015)
Javier Baladron, Fred H. Hamker
A spiking neural network based on the basal ganglia functional anatomy. Neural Networks 67 (2015)
Benny Liebold, René Richter, Michael Teichmann, Fred H. Hamker, Peter Ohler
Human Capacities for Emotion Recognition and their Implications for Computer Vision. i-com 14 (2) (2015)
Arash Kermani Kolankeh, Michael Teichmann, Fred H. Hamker
Competition improves robustness against loss of information. Frontiers Comput. Neurosci. 9 (2015)
Fred H. Hamker
Spatial Cognition of Humans and Brain-inspired Artificial Agents. Künstliche Intell. 29 (1) (2015)
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
A Hierarchical System for a Distributed Representation of the Peripersonal Space of a Humanoid Robot. IEEE Trans. Auton. Ment. Dev. 6 (4) (2014)
Julien Vitay, Helge U. Dinkelbach, Fred H. Hamker
ANNarchy: a code generation approach to neural simulations on parallel hardware. Frontiers Neuroinformatics 9 (2014)
Frederik Beuth, Amirhossein Jamalian, Fred H. Hamker
How Visual Attention and Suppression Facilitate Object Recognition? ICANN (2014)
Julien Vitay, Fred H. Hamker
Timing and expectation of reward: a neuro-computational model of the afferents to the ventral tegmental area. Frontiers Neurorobotics 8 (2014)
Arnold Ziesche, Fred H. Hamker
Brain circuits underlying visual stability across eye movements - converging evidence for a neuro-computational model of area LIP. Frontiers Comput. Neurosci. 8 (2014)
Fred H. Hamker
Neural Learning of Cognitive Control. Künstliche Intell. 26 (4) (2012)
Michael Teichmann, Jan Wiltschut, Fred H. Hamker
Learning Invariance from Natural Images Inspired by Observations in the Primary Visual Cortex. Neural Comput. 24 (5) (2012)
Henning Schroll, Julien Vitay, Fred H. Hamker
Working memory and response selection: A computational account of interactions among cortico-basalganglio-thalamic loops. Neural Networks 26 (2012)
Julien Vitay, Fred H. Hamker
A Neuroscientific View on the Role of Emotions in Behaving Cognitive Agents. Künstliche Intell. 25 (3) (2011)
Julien Vitay, Fred H. Hamker
A computational model of basal ganglia and its role in memory retrieval in rewarded visual memory tasks. Frontiers Comput. Neurosci. 4 (2010)
Julien Vitay, Jérémy Fix, Fred H. Hamker, Henning Schroll, Frederik Beuth
Biological Models of Reinforcement Learning. Künstliche Intell. 23 (3) (2009)
Fred H. Hamker, Marc Zirnsak, Dirk Calow, Markus Lappe
The Peri-Saccadic Perception of Objects and Space. PLoS Comput. Biol. 4 (2) (2008)
Julien Vitay, Fred H. Hamker
Sustained Activities and Retrieval in a Computational Model of the Perirhinal Cortex. J. Cogn. Neurosci. 20 (11) (2008)
Julien Vitay, Fred H. Hamker
On the Role of Dopamine in Cognitive Vision. WAPCV (2007)
Fred H. Hamker, Marc Zirnsak
V4 receptive field dynamics as predicted by a systems-level model of visual attention using feedback from the frontal eye field. Neural Networks 19 (9) (2006)
Fred H. Hamker
The emergence of attention by population-based inference and its role in distributed processing and cognitive control of vision. Comput. Vis. Image Underst. 100 (1-2) (2005)
Fred H. Hamker
A Population-Based Inference Framework for Feature-Based Attention in Natural Scenes. BVAI (2005)
Fred H. Hamker
Predictions of a model of spatial attention using sum- and max-pooling functions. Neurocomputing 56 (2004)
Fred H. Hamker
Modeling Attention: From Computational Neuroscience to Computer Vision. WAPCV (2004)
Fred H. Hamker, James Worcester
Object Detection in Natural Scenes by Feedback. Biologically Motivated Computer Vision (2002)
Fred H. Hamker
Life-long learning Cell Structures--continuously learning without catastrophic interference. Neural Networks 14 (4-5) (2001)
Jürgen Paetz, Fred H. Hamker, Sven Thöne
About the Analysis of Septic Shock Patient Data. ISMDA (2000)
Fred H. Hamker
Visuelle Aufmerksamkeit und lebenslanges Lernen im Wahrnehmungs-Handlungs-Zyklus. Künstliche Intell. 14 (4) (2000)
Dietmar Heinke, Fred H. Hamker
Comparing neural networks: a benchmark on growing neural gas, growing cell structures, and fuzzy ARTMAP. IEEE Trans. Neural Networks 9 (6) (1998)