Bergelt, J., Hamker, F.H. (2025)
Perisaccadic attentional updating in Area V4: A neuro-computational approach
European Journal of Neuroscience (EJN), 62(12):e70354. doi:10.1111/ejn.70354
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Stocks, N., Hamker, F.H. (2025)
Bridging Conflicting Views on Eye-Position Signals: A Neurocomputational Approach to Perisaccadic Perception
European Journal of Neuroscience (EJN), 62(3):e70207. doi:10.1111/ejn.70207.
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Larisch, R., Hamker, F.H. (2025)
A systematic analysis of the joint effects of ganglion cells, lagged LGN cells, and intercortical inhibition on spatiotemporal processing and direction selectivity
Neural Networks, 186:107273. doi:10.1016/j.neunet.2025.107273.
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Maith, O., Apenburg, D., Hamker, F. H. (2025)
Pallidal deep brain stimulation enhances habitual behavior in a neuro-computational basal ganglia model during a reward reversal learning task
European Journal of Neuroscience, Volume 61:e70130 doi:10.1111/ejn.70130
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Fietzek, T., Ruff, C., Hamker. F.H. (2024)
A Brain-Inspired Model of Reaching and Adaptation on the iCub Robot
2024 IEEE International Symposium on Robotic and Sensors Environments (ROSE). p. 1-7. doi:10.1109/ROSE62198.2024.10591174.
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Larisch, R., Vitay, J., Hamker, F. H. (2023)
Detecting Anomalies in System Logs With a Compact Convolutional Transformer
IEEE Access, Volume 11 doi:10.1109/ACCESS.2023.3323252
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Larisch, R., Berger, L., Hamker, F. H. (2023)
Exploring the Role of Feedback Inhibition for the Robustness Against Corruptions on Event-Based Data
ICANN 2023. LNCS Volume 14261. Springer, Cham. doi:10.1007/978-3-031-44198-1_17
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Burkhardt, M., Bergelt, J., Gönner, L., Dinkelbach, H.Ü., Beuth, F., Schwarz, A., Bicanski, A., Burgess, N., Hamker, F. H. (2023)
A Large-scale Neurocomputational Model of Spatial Cognition Integrating Memory with Vision
Neural Networks, 167:473-488. doi:10.1016/j.neunet.2023.08.034
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Baladron, J., Vitay, J., Fietzek, T. and Hamker, F. H. (2023)
The contribution of the basal ganglia and cerebellum to motor learning: a neuro-computational approach
PLoS Comput Biol 19(4): e1011024. doi:10.1371/journal.pcbi.1011024
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Maith, O., Baladron, J., Einhäuser, W., Hamker, F. H. (2023)
Exploration behavior after reversals is predicted by STN-GPe synaptic plasticity in a basal ganglia model
iScience 26(5). doi:10.1016/j.isci.2023.106599
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Dinkelbach, H.Ü, Bouhlal, B.-E., Vitay, J., Hamker, F.H. (2022)
Auto-selection of an Optimal Sparse Matrix Format in the Neuro-simulator ANNarchy
Frontiers in Neuroinformatics, 16:877945. doi:10.3389/fninf.2022.877945
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Maith, O., Dinkelbach, H.Ü, Baladron, J., Vitay, J., Hamker, F.H. (2022)
BOLD monitoring in the neural simulator ANNarchy
Frontiers in Neuroinformatics, 16. doi:10.3389/fninf.2022.790966
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Larisch, R., Teichmann, M., Gönner, L., Hamker, F.H. (2021)
Sensory coding and contrast invariance emerge from the control of plastic inhibition over emergent selectivity
PLOS Computational Biology, 17(11):e1009566. doi:10.1371/journal.pcbi.1009566
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Maith, O., Schwarz, A., Hamker, F.H. (2021)
Optimal Attention Tuning in a neuro-computational Model of the Visual Cortex - Basal Ganglia - Prefrontal Cortex Loop
Neural Networks, 142:534-547. doi:10.1016/j.neunet.2021.07.008
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Teichmann, M., Larisch, R., Hamker, F.H. (2021)
Performance of biologically grounded models of the early visual system on standard object recognition tasks
Neural Networks, 144:210-228. doi:10.1016/j.neunet.2021.08.009
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Goenner, L., Maith, O., Koulouri, I., Baladron, J., Hamker, F.H. (2020)
A spiking model of basal ganglia dynamics in stopping behavior supported by Arkypallidal neurons
European Journal of Neuroscience, 53(7):2296-2321. doi:10.1111/ejn.150862
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Bergelt, J., Hamker, F.H. (2019)
Spatial updating of attention across eye movements: A neuro-computational approach
Journal of Vision, 19(7):10, 1-23. doi:10.1167/19.7.10
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Dinkelbach, H.Ü., Vitay, J., Hamker, F.H. (2019)
Scalable simulation of rate-coded and spiking neural networks on shared memory systems
Conference on Cognitive Computational Neuroscience. 13-16 September 2019, Berlin, Germany. doi:10.32470/CCN.2019.1109-0
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Schmid, K., Vitay, J., Hamker, F. H. (2019)
Forward Models in the Cerebellum using Reservoirs and Perturbation Learning
Conference on Cognitive Computational Neuroscience. 13-16 September 2019, Berlin, Germany. doi:10.32470/CCN.2019.1139-0
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Lorenz Gönner, Julien Vitay, and Fred H. Hamker (2017).
Predictive Place-Cell Sequences for Goal-Finding Emerge from Goal Memory and the Cognitive Map: A Computational Model.
Frontiers in Computational Neuroscience 11:84. doi:10.3389/fncom.2017.00084
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Julien Vitay (2016)
[Re] Robust timing and motor patterns by taming chaos in recurrent neural networks
Rescience, 2(1). doi:10.5281/zenodo.159545
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Julien Vitay and Fred H. Hamker (2014)
Timing and expectation of reward: a neuro-computational model of the afferents to the ventral tegmental area
Frontiers in Neurorobotics. 8:4. doi:10.3389/fnbot.2014.00004
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ANNarchy (Artificial Neural Networks architect) neuro-simulator.
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Contextual Navigation Framework of the EU-funded CAVAA project
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Mesh regression library of the BMBF project ML@Karoprod.
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Microcredential "Deep Learning for Practitioners"
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Neurobotics summer school 2022.
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OnShape-CAD-Parser
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