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2020

Nassour, J., Hamker, F.H. (in press)
Enfolded Textile Actuator for Soft Wearable Robots
2019 IEEE International Conference on Cyborg and Bionic Systems. 18-20 September, 2019. Technical University of Munich, Germany.

Schröder, E., Braun, S., Mählisch, M., Vitay, J, Hamker, F.H. (2020)
Feature Map Transformation for Fusion of Multi-Sensor Object Detection Networks for Autonomous Driving
Computer Vision Conference (CVC 2019). In: Arai K., Kapoor S. (eds.) Advances in Computer Vision. CVC 2019. AISC 944:118-131. doi:10.1007/978-3-030-17798-0_12.
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2019

Nassour, J., Hamker, F.H. (2019)
Tactile and Proximity Servoing by A Multi-modal Sensory Soft Hand
Wearable Robotics: Challenges and Trends. WeRob 2018. - Springer, Cham. Biosystems & Biorobotics book series (BIOSYSROB) 22:396-400. doi:10.1007/978-3-030-01887-0_76.

Schmid, K., Vitay, J., Hamker, F. H. (2019)
Forward Models in the Cerebellum using Reservoirs and Perturbation Learning
Conference on Cognitive Computational Neuroscience. 2019, Berlin, Germany. doi:10.32470/CCN.2019.1139-0.
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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.

Nassour, J., Vaghani, S., Hamker, F.H. (2019)
Design of Soft Exosuit for Elbow Assistance Using Butyl Tubes Rubber and Textile
Wearable Robotics: Challenges and Trends (Werob2018) Springer, Cham. Biosystems & Biorobotics book series (BIOSYSROB) 22:420-424. doi:10.1007/978-3-030-01887-0_81.

2018

Pan, Y., Hamker, F.H., Nassour, J. (2018)
Humanoid robot grasping with a soft gripper through a learned inverse model of a central pattern generator and tactile servoing
IEEE International Conference on Humanoid Robots (HUMANOIDS 2018). Beijing, China, November 6-9.

Nassour, J., Ghadiya, V., Hugel, V., Hamker, F.H. (2018)
Design of New Sensory Soft Hand: Combining Air-Pump Actuation with Superimposed Curvature and Pressure Sensors
The First IEEE-RAS International Conference on Soft Robotics (RoboSoft2018). Livorno, Italy, April 24-28. doi:10.1109/robosoft.2018.8404914.

Vaghani, S., Pan, Y., Hamker, F.H., Nassour, J. (2018)
Gait Transition between Simple and Complex Locomotion in Humanoid Robots
International Conference on the Simulation of Adaptive Behavior (SAB2018). Frankfurt, Germany, 26 July. doi:10.1007/978-3-319-97628-0_10.

Larisch, R., Teichman, M., Hamker, F.H. (2018)
A Neural Spiking Approach Compared to Deep Feedforward Networks on Stepwise Pixel Erasement
Artificial Neural Networks and Machine Learning - ICANN 2018. - Cham : Springer International Publishing. 253-262. doi:10.1007/978-3-030-01418-6_25.

Makkar, D., Atoofi, P., Hamker, F.H., Nassour, J. (2018)
Motor Program Learning for Humanoid Robot Drawing
IEEE International Conference on Humanoid Robots (HUMANOIDS 2018). Beijing, China, November 6-9.

Schröder, E., Mählisch, M., Vitay, J., Hamker, F.H. (2018)
Fusion of Camera and Lidar Data for Object Detection using Neural Networks
12. Workshop Fahrerassistenzsysteme und automatisiertes Fahren FAS2018. Waiting im Altmühltal, 26.09.-28.09.2018, Uni-DAS e.V., 138-146.
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Winter, M., Kronfeld, Th., Brunnett, G., Dinkelbach, H.-Ü. (2018)
Semi-Automatic Task Planning of Virtual Humans in Digital Factory Settings
Proceedings of CAD'18 CAD Solutions LLC. 283-287. doi:10.14733/cadconfP.2018.283-287.

2017

Lötzsch, W., Vitay, J., Hamker, F.H. (2017)
Training a deep policy gradient-based neural network with asynchronous learners on a simulated robotic problem
In: 47. Jahrestagung der Gesellschaft für Informatik e.V. (GI). 2143-2154. doi:10.18420/in2017_214.
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Jamalian, A., Bergelt, J., Dinkelbach, H.U., Hamker, F.H. (2017)
Spatial Attention Improves Object Localization: A Biologically Plausible Neuro-Computational Model for Use in Virtual Reality
In: The IEEE International Conference on Computer Vision (ICCV). 2724-2729. doi:10.1109/ICCVW.2017.320.
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2016

Jamalian, A., Beuth, F., Hamker, F. H. (2016)
Attentive Robot Vision
In: M. Eibl, M. Gaedke (Eds.), Proc Studierendensymposium Informatik 2016 der TU Chemnitz (TUCSI 2016), 161-164. ISBN: 978-3-944640-85-3.
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Schwarz, A., Beuth, F., Hamker, F. H. (2016)
Learning of Spatial Invariances for Object-Ground Separation
In: M. Eibl, M. Gaedke (Eds.), Proc Studierendensymposium Informatik 2016 der TU Chemnitz (TUCSI 2016), 127-132. ISBN: 978-3-944640-85-3.
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Gussev, J., Dinkelbach, H. Ü., Beuth, F., Hamker, F. H. (2016)
Reinforcement Learning with Object Localization in a Virtual Environment
In: M. Eibl, M. Gaedke (Eds.), Proc Studierendensymposium Informatik 2016 der TU Chemnitz (TUCSI 2016), 111-116. ISBN: 978-3-944640-85-3.
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Jüngel, S., Beuth, F., Hamker, F. H. (2016)
Entwicklung einer virtuellen Versuchsumgebung zur experimentellen Untersuchung von Raumorientierung und visueller Aufmerksamkeit
In: M. Eibl, M. Gaedke (Eds.), Proc Studierendensymposium Informatik 2016 der TU Chemnitz (TUCSI 2016), 87-98. ISBN: 978-3-944640-85-3.
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Jamalian, A., Beuth, F., Hamker, F.H. (2016)
The Performance of a Biologically Plausible Model of Visual Attention to Localize Objects in a Virtual Reality
In: A.E.P. Villa et al. (Eds.): ICANN 2016, Part II, LNCS 9887. 447-454. doi:10.1007/978-3-319-44781-0_53.
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Villagrasa, F., Baladron, J., Hamker, F.H. (2016)
Fast and Slow Learning in a Neuro-Computational Model of Category Acquisition
In: A.E.P. Villa et al. (Eds.): ICANN 2016, Part I, LNCS 9886. 248-255. doi:10.1007/978-3-319-44778-0_29.
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2015

Beuth, F., Hamker, F. H. (2015)
Attention as cognitive, holistic control of the visual system
In: T. Villmann, F.-M. Schleif (Eds.), Proc Workshop New Challenges in Neural Computation - NC² 2015, Machine Learning Reports 03/2015, 133-140. ISSN: 1865-3960.
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Supplementary Material

Teichmann, M., Hamker, F. H. (2015)
Intrinsic Plasticity: A Simple Mechanism to Stabilize Hebbian Learning in Multilayer Neural Networks
In: T. Villmann, F.-M. Schleif (Eds.), Proc Workshop New Challenges in Neural Computation - NC² 2015, Machine Learning Reports 03/2015, 103-111. ISSN: 1865-3960.
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2014

Beuth, F., Jamalian, A., Hamker, F.H. (2014)
How Visual Attention and Suppression Facilitate Object Recognition?
In: Wermter, S., Weber, C., Duch, W., Honkela, T., Koprinkova-Hristova, P., Magg, S., Palm, G., Villa, A.E.P. (Eds.), Artificial Neural Networks and Machine Learning - ICANN 2014, 24th International Conference on Artificial Neural Networks, Lecture Notes in Computer Science 8681, Springer Heidelberg, 2014. 459-466.
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Truschzinski, M., Müller, N., Dinkelbach, H.Ü., Protzel, P., Hamker, F.H., Ohler, P. (2014)
Deducing human emotions by robots: Computing basic non-verbal expressions of performed actions during a work task
IEEE Multi-conference on Systems and Control (MSC2014)/International Symposium on Intelligent Control (ISIC).

Debnath, S.; Nassour, J. (2014)
Extending cortical-basal inspired reinforcement learning model with success-failure experience
Development and Learning and Epigenetic Robotics. Joint IEEE International Conferences, 293-298. doi:10.1109/DEVLRN.2014.6982996.
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Debnath, S.; Nassour, J.; Cheng, G. (2014)
Learning diverse motor patterns with a single multi-layered multi-pattern CPG for a humanoid robot
Humanoid Robots. 14th IEEE-RAS International Conference on. 1016-1021, 18-20. doi:10.1109/HUMANOIDS.2014.7041489.
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Kermani, K., Teichmann, M., Hamker, F. H. (2014)
Role of Competition in Robustness under Loss of Information in Feature Detectors
In: T. Villmann, F.-M. Schleif (Eds.), Proc Workshop New Challenges in Neural Computation - NC² 2014, Machine Learning Reports 02/2014, 16-19. ISSN: 1865-3960.
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2010

Beuth, F, Wiltschut, J, Hamker, F. H. (2010)
Attentive Stereoscopic Object Recognition.
In: T. Villmann, F.-M. Schleif (Eds.), Proc Workshop New Challenges in Neural Computation - NC² 2010, Machine Learning reports 04/2010, AG Computational Intelligence, University of Leipzig, 41-48. ISSN: 1865-3960.
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Fix, J., Schroll, H., Anton-Erxleben, K., Womelsdorf, T., Treue, S., Hamker, F. H. (2010)
Influence of spatial attention on the receptive field shape of neurons in monkey area MT
Proceedings of Neurocomp 2010, 147-152.

2009

Beuth, F., Ritter, M. (2009)
Verschmelzendes Clustering in Artmap.
In: Workshop Audiovisuelle Medien (WAM2009), Chemnitz, Germany. 93-106.
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2008

Vitay, J., Hamker, F. H. (2008)
Binding objects to cognition: A brain-like systems approach to the cognitive control of visual perception. International Conference on Cognitive Systems.
(CogSys 2008), Karlsruhe, Germany.

2005

Hamker, F. H. (2005)
A population-based inference framework for feature-based attention in natural scenes.
In: M. De Gregorio et al. (eds.), International Symposium on Brain Vision & Artificial Intelligence (BV&AI 2005), LNCS 3704. Berlin, Heidelberg: Springer-Verlag, 147 - 156.
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Hamker, F. H. (2005)
Modeling Attention: From computational neuroscience to computer vision.
In: L. Paletta et al. (eds.), Attention and Performance in Computational Vision. Second International workshop on attention and performance in computer vision (WAPCV 2004), LNCS 3368. Berlin, Heidelberg: Springer-Verlag, 118 - 132.
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2004

Hamker, F. H. (2004)
Vision as an anticipatory process.
Invited Contribution. In: H.-M. Gro� et al. (eds.), SOAVE 2004, 3rd Workshop on Self Organization of Adaptive Behavior. Fortschritt-Berichte VDI, Reihe 10, Nr. 743. D�sseldorf: VDI Verlag, 79-93.
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Hamker, F. H., Zirnsak, M., Calow, D., Lappe, M. (2004)
Planned action determines perception: A computational model of saccadic mislocalization.
In: U. Ilg et al. (eds.), Dynamic Perception. Infix Verlag, St. Augustin, 71-76.
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2002

Brause, R., Hamker, F., Paetz, J. (2002)
Septic shock diagnosis by neural networks and rule based systems.
In: Schmitt, et al. (eds.), Computational Intelligence Processing in Medical Diagnosis. Springer Verlag, New York, 323-356.

Hamker, F. H. (2002)
How does the ventral pathway contribute to spatial attention and the planning of eye movements?
In: R. P. Würtz & M. Lappe (eds.) Dynamic Perception. St. Augustin: Infix Verlag, 83-88.
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Hamker, F. H., Worcester, J. (2002)
Object detection in natural scenes by feedback.
In: H. H. B�lthoff et al. (eds.), Biologically Motivated Computer Vision. Lecture Notes in Computer Science. Berlin, Heidelberg, New York: Springer Verlag, 398-407.
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2000

Paetz, J., Hamker, F. H., Th�ne, S. (2000)
About the Analysis of Septic Shock Patient Data.
Medical Data Analysis, Proceedings of the First International Symposium ISMDA 2000. Lecture Notes in Computer Science, vol. 1933. Heidelberg: Springer-Verlag, 130-137.
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Hamker, F. H. (2000)
Distributed competition in directed attention.
In: G. Baratoff, H. Neumann (eds.) Proceedings in Artificial Intelligence, Vol. 9. Dynamische Perzeption. Berlin: AKA, Akademische Verlagsgesellschaft, 39-44.
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1999

Hamker, F. H. (1999)
The role of feedback connections in task-driven visual search.
In: D. Heinke, G. W. Humphreys & A. Olson (eds.) Connectionist Models in Cognitive Neuroscience, Proc. of the 5th Neural Computation and Psychology Workshop (NCPW'98). London: Springer Verlag, 252-261.
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Hamker, F. H. (1999)
Life-long learning in incremental neural networks.
In: D. M. Dubois (eds.) International Journal of Computing Anticipatory Systems. CHAOS, Liege, Belgium, 3:65-74.

1998

Hamker, F. H. (1998)
Lebenslang lernfähige Zellstrukturen: Eine Lösung des Stabilitäts-Plastizitäts-Dilemmas?
In: Proceedings der CoWAN '98, Cottbus 1998. Sharker Verlag, 17-37.

Hamker, F. H., Gross, H.-M. (1998)
A lifelong learning approach for incremental neural networks.
In: Fourteenth European Meeting on Cybernatics and Systems Research (EMCSR'98), Vienna, 599-604..

1997

Hamker, F. H., Gross, H.-M. (1997)
Task-based representation in lifelong learning incremental neural networks.
In: VDI Fortschrittberichte, Reihe 8, Nr. 663, Workshop SOAVE'97 - Selbstorganisation von adaptivem Verhalten, Ilmenau, 99-108..
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Hamker, F. H., Gross, H.-M. (1997)
Object selection with dynamic neural maps.
In: Proceedings of the International Conference on Artificial Neural Networks (ICANN'97). Lausanne: Springer-Verlag, 919-924.
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Hamker, F., Pomierski, T, Gross, H.-M., Debes, K. (1997)
Ein visuomotorisches Sortiersystem auf der Basis von Farbmerkmalen.
In: VDI Fortschrittberichte, Reihe 8, Nr. 663, Workshop SOAVE'97 - Selbstorganisation von adaptivem Verhalten, Ilmenau, 232-238.
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1996

Hamker, F. H., Gross, H.-M. (1996)
Intentionale Aufmerksamkeit: Ein alternatives Konzept f�r technische visuo-motorische Systeme.
In: Proceedings des Workshops der GI-Fachgruppe 1.0.4 Bildverstehen "Aktives Sehen in technischen und biologischen Systemen", Hamburg, 101-108.
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Hamker, F. H., Gross, H.-M. (1996)
Region Selection: Segmentation, Classification and Task Relevance in a single Grouping Mechanism.
In: Proceedings of the IEEE International Conference on Neural Networks (ICNN'96), Washington, 1540-1545.

Hamker, F. H., Gross, H.-M. (1996)
Task Relevant Relaxation Network for visuo-motory Systems.
In: Proceedings of the International Conference on Pattern Recognition (ICPR'96), Vienna, 406-410.



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