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Fred H. Hamker
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- affiliation: Chemnitz University of Technology, Faculty of Computer Science, Germany
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2020 – today
- 2024
- [j38]Javier Baladron
, Fred H. Hamker
Re-Thinking the Organization of Cortico-Basal Ganglia-Thalamo-Cortical Loops. Cogn. Comput. 16(5): 2405-2410 (2024) - [c24]Michael Teichmann
Robustness of Biologically Grounded Neural Networks Against Image Perturbations. ICANN (10) 2024: 220-230 - [c23]Torsten Fietzek
A Brain-Inspired Model of Reaching and Adaptation on the iCub Robot. ROSE 2024: 1-7 - 2023
- [j37]René Larisch
Detecting Anomalies in System Logs With a Compact Convolutional Transformer. IEEE Access 11: 113464-113479 (2023) - [j36]Micha Burkhardt
A large-scale neurocomputational model of spatial cognition integrating memory with vision. Neural Networks 167: 473-488 (2023) - [j35]Javier Baladron, Julien Vitay, Torsten Fietzek
The contribution of the basal ganglia and cerebellum to motor learning: A neuro-computational approach. PLoS Comput. Biol. 19(4) (2023) - [j34]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) - [c22]René Larisch
Exploring the Role of Feedback Inhibition for the Robustness Against Corruptions on Event-Based Data. ICANN (8) 2023: 197-208 - 2022
- [j33]Oliver Maith, Helge Ulo Dinkelbach
BOLD Monitoring in the Neural Simulator ANNarchy. Frontiers Neuroinformatics 16: 790966 (2022) - [j32]Helge Ulo Dinkelbach
Auto-Selection of an Optimal Sparse Matrix Format in the Neuro-Simulator ANNarchy. Frontiers Neuroinformatics 16: 877945 (2022) - [c21]Torsten Fietzek
ANNarchy - iCub: An Interface for Easy Interaction between Neural Network Models and the iCub Robot. CIVEMSA 2022: 1-6 - [c20]Aida Farahani
Deep Neural Networks for Geometric Shape Deformation. KI 2022: 90-95 - 2021
- [j31]Oliver Maith
Optimal attention tuning in a neuro-computational model of the visual cortex-basal ganglia-prefrontal cortex loop. Neural Networks 142: 534-547 (2021) - [j30]Michael Teichmann
Performance of biologically grounded models of the early visual system on standard object recognition tasks. Neural Networks 144: 210-228 (2021) - [j29]René Larisch
Sensory coding and contrast invariance emerge from the control of plastic inhibition over emergent selectivity. PLoS Comput. Biol. 17(11) (2021) - 2020
- [j28]John Nassour
Concrete Action Representation Model: From Neuroscience to Robotics. IEEE Trans. Cogn. Dev. Syst. 12(2): 272-284 (2020) - [j27]Tran Duy Hoa
A Humanoid Robot Learns to Recover Perturbation During Swinging Motion. IEEE Trans. Syst. Man Cybern. Syst. 50(10): 3701-3712 (2020) - [c19]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: 383-390
2010 – 2019
- 2019
- [c18]John Nassour, Fred H. Hamker
Enfolded Textile Actuator for Soft Wearable Robots. CBS 2019: 60-65 - [i1]René Larisch, Michael Teichmann, Fred H. Hamker:
A Neural Spiking Approach Compared to Deep Feedforward Networks on Stepwise Pixel Erasement. CoRR abs/1912.03201 (2019) - 2018
- [j26]Payam Atoofi, Fred H. Hamker
Learning of Central Pattern Generator Coordination in Robot Drawing. Frontiers Neurorobotics 12: 44 (2018) - [c17]Deepanshu Makkar, Payam Atoofi, Fred H. Hamker
Motor Program Learning for Humanoid Robot Drawing. Humanoids 2018: 1-9 - [c16]Yuxiang Pan, Fred H. Hamker
Humanoid Robot Grasping with a Soft Gripper Through a Learned Inverse Model of a Central Pattern Generator and Tactile Servoing. Humanoids 2018: 1-9 - [c15]René Larisch, Michael Teichmann
A Neural Spiking Approach Compared to Deep Feedforward Networks on Stepwise Pixel Erasement. ICANN (1) 2018: 253-262 - [c14]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: 164-169 - [c13]Sidhdharthkumar Vaghani, Yuxiang Pan, Fred H. Hamker
Gait Transition Between Simple and Complex Locomotion in Humanoid Robots. SAB 2018: 114-125 - 2017
- [j25]Lorenz Gönner
Predictive Place-Cell Sequences for Goal-Finding Emerge from Goal Memory and the Cognitive Map: A Computational Model. Frontiers Comput. Neurosci. 11: 84 (2017) - [c12]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: 2143-2154 - 2016
- [j24]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): 81-89 (2016) - [c11]Francesc Villagrasa, Javier Baladron, Fred H. Hamker
Fast and Slow Learning in a Neuro-Computational Model of Category Acquisition. ICANN (1) 2016: 248-255 - [c10]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: 447-454 - 2015
- [j23]Arash Kermani Kolankeh, Michael Teichmann
Competition improves robustness against loss of information. Frontiers Comput. Neurosci. 9: 35 (2015) - [j22]Julien Vitay, Helge U. Dinkelbach
ANNarchy: a code generation approach to neural simulations on parallel hardware. Frontiers Neuroinformatics 9: 19 (2015) - [j21]Benny Liebold, René Richter, Michael Teichmann
Human Capacities for Emotion Recognition and their Implications for Computer Vision. i-com 14(2): 126-137 (2015) - [j20]Fred H. Hamker
Spatial Cognition of Humans and Brain-inspired Artificial Agents. Künstliche Intell. 29(1): 83-88 (2015) - [j19]Henning Schroll, Andreas Horn
Differential contributions of the globus pallidus and ventral thalamus to stimulus-response learning in humans. NeuroImage 122: 233-245 (2015) - [j18]Javier Baladron
A spiking neural network based on the basal ganglia functional anatomy. Neural Networks 67: 1-13 (2015) - 2014
- [j17]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: 25 (2014) - [j16]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: 4 (2014) - [j15]Marco Antonelli
A Hierarchical System for a Distributed Representation of the Peripersonal Space of a Humanoid Robot. IEEE Trans. Auton. Ment. Dev. 6(4): 259-273 (2014) - [c9]Frederik Beuth, Amirhossein Jamalian, Fred H. Hamker
How Visual Attention and Suppression Facilitate Object Recognition? ICANN 2014: 459-466 - 2012
- [j14]Fred H. Hamker
Neural Learning of Cognitive Control. Künstliche Intell. 26(4): 397-401 (2012) - [j13]Michael Teichmann
Learning Invariance from Natural Images Inspired by Observations in the Primary Visual Cortex. Neural Comput. 24(5): 1271-1296 (2012) - [j12]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: 59-74 (2012) - 2011
- [j11]Julien Vitay, Fred H. Hamker
A Neuroscientific View on the Role of Emotions in Behaving Cognitive Agents. Künstliche Intell. 25(3): 235-244 (2011) - 2010
- [j10]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: 13 (2010)
2000 – 2009
- 2009
- [j9]Julien Vitay, Jérémy Fix, Fred H. Hamker, Henning Schroll, Frederik Beuth:
Biological Models of Reinforcement Learning. Künstliche Intell. 23(3): 12-18 (2009) - 2008
- [j8]Julien Vitay, Fred H. Hamker
Sustained Activities and Retrieval in a Computational Model of the Perirhinal Cortex. J. Cogn. Neurosci. 20(11): 1993-2005 (2008) - [j7]Fred H. Hamker
The Peri-Saccadic Perception of Objects and Space. PLoS Comput. Biol. 4(2) (2008) - 2007
- [c8]Julien Vitay, Fred H. Hamker
On the Role of Dopamine in Cognitive Vision. WAPCV 2007: 352-366 - 2006
- [j6]Fred H. Hamker
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): 1371-1382 (2006) - 2005
- [j5]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): 64-106 (2005) - [c7]Fred H. Hamker
A Population-Based Inference Framework for Feature-Based Attention in Natural Scenes. BVAI 2005: 147-156 - 2004
- [j4]Fred H. Hamker
Predictions of a model of spatial attention using sum- and max-pooling functions. Neurocomputing 56: 329-343 (2004) - [c6]Fred H. Hamker
Modeling Attention: From Computational Neuroscience to Computer Vision. WAPCV 2004: 118-132 - 2002
- [c5]Fred H. Hamker
Object Detection in Natural Scenes by Feedback. Biologically Motivated Computer Vision 2002: 398-407 - 2001
- [j3]Fred H. Hamker
Life-long learning Cell Structures--continuously learning without catastrophic interference. Neural Networks 14(4-5): 551-573 (2001) - 2000
- [j2]Fred H. Hamker:
Visuelle Aufmerksamkeit und lebenslanges Lernen im Wahrnehmungs-Handlungs-Zyklus. Künstliche Intell. 14(4): 68-70 (2000) - [c4]Jürgen Paetz, Fred H. Hamker
About the Analysis of Septic Shock Patient Data. ISMDA 2000: 130-137
1990 – 1999
- 1999
- [b1]Fred Henrik Hamker:
Visuelle Aufmerksamkeit und lebenslanges Lernen im Wahrnehmungs-Handlungs-Zyklus. Technische Universität Ilmenau, Germany, 1999, pp. 1-341 - 1998
- [j1]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): 1279-1291 (1998) - 1997
- [c3]Fred Henrik Hamker
Object Selection with Dynamic Neural Maps. ICANN 1997: 919-924 - 1996
- [c2]Fred Henrik Hamker, Horst-Michael Gross:
Region selection: segmentation, classification and task relevance in a single grouping mechanism. ICNN 1996: 1540-1545 - [c1]Fred Henrik Hamker
Task-relevant relaxation network for visuo-motory systems. ICPR 1996: 406-410
Coauthor Index
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