[Extracted from DiVA, the publication database at KTH.]

Natesan, D.; Saxena, N.; Ekeberg, Ö.; Sane, S. (2019):
Tuneable reflexes control antennal positioning in flying hawkmoths.
Nature Communications 10: [Details]
Kann, V.; Ekeberg, Ö. (2018):
Student based program development.
[Conference paper] 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education, ITiCSE 2018, Larnaca, Cyprus, 2 July 2018 through 4 July 2018; ITiCSE 2018 Proceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education 379-379 [Details]
Akhmetova, D.; Iakymchuk, R.; Ekeberg, Ö.; Laure, E. (2017):
Performance study of multithreaded MPI and Openmp tasking in a large scientific code.
[Conference paper] 31st IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2017, Orlando, United States, 29 May 2017 through 2 June 2017; Proceedings - 2017 IEEE 31st International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2017 756-765 [Details]
Wang, R.; Herman, P.; Ekeberg, Ö.; Gäverth, J.; Fagergren, A.; Forssberg, H. (2017):
Neural and non-neural related properties in the spastic wrist flexors - An optimization study.
Medical Engineering and Physics 47: 198-209 [Details]
Lindkvist, E.; Ekeberg, Ö.; Norberg, J. (2017):
Strategies for sustainable management of renewable resources during environmental change.
Proceedings of the Royal Society of London. Biological Sciences 284: [Details]
Natesan, D.; Saxena, N.; Ekeberg, Ö.; Sane, S. (2016):
Airflow mediated antennal positioning in flying hawkmoths.
Integrative and Comparative Biology 56: E159-E159 [Details]
Ekeberg, Ö.; Fransén, E.; Hellgren Kotaleski, J.; Herman, P.; Kumar, A.; Lansner, A.; Lindeberg, T. (2016):
Computational Brain Science at CST, CSC, KTH.
Other [Details]
Widing, E.; Ekeberg, Ö. (2015):
Tailoring biomechanical model meshes for aero-acoustic simulations.
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization : [Details]
Manfredi, L.; Assaf, T.; Mintchev, S.; Marrazza, S.; Capantini, L.; Orofino, S.; Ascari, L.; Grillner, S.; Wallén, P.; Ekeberg, Ö.; Stefanini, C.; Dario, P. (2013):
A bioinspired autonomous swimming robot as a tool for studying goal-directed locomotion.
Biological Cybernetics 107: 513-527 [Details]
Kamali Sarvestani, I.; Ekeberg, Ö. (2013):
Internal Connectivity of the GlobusPallidus and the Arbitration System.
Manuscript (preprint) [Details]
Lindahl, M.; Sarvestani, I.; Ekeberg, Ö.; Hällgren Kotaleski, J. (2013):
Signal enhancement in the output stage of the basal ganglia by synaptic short-term plasticity in the direct, indirect, and hyperdirect pathways.
Frontiers in Computational Neuroscience 7: UNSP 76 [Details]
Bicanski, A.; Ryczko, D.; Knuesel, J.; Harischandra, N.; Charrier, V.; Ekeberg, Ö.; Cabelguen, J.; Ijspeert, A. (2013):
Decoding the mechanisms of gait generation in salamanders by combining neurobiology, modeling and robotics.
Biological Cybernetics 107: 545-564 [Details]
Kamali Sarvestani, I.; Kozlov, A.; Harischandra, N.; Grillner, S.; Ekeberg, Ö. (2013):
A computational model of visually guided locomotion in lamprey.
Biological Cybernetics 107: 497-512 [Details]
Harischandra, N.; Knuesel, J.; Kozlov, A.; Bicanski, A.; Cabelguen, J.; Ijspeert, A.; Ekeberg, Ö. (2011):
Sensory feedback plays a significant role in generating walking gait and in gait transition in salamanders - a simulation study.
Frontiers in Neurorobotics 5: 3:1-3:13 [Details]
Kamali Sarvestani, I.; Lindahl, M.; Hellgren Kotaleski, J.; Ekeberg, Ö. (2011):
The arbitration-extension hypothesis - A hierarchical interpretation of the functional organization of the basal ganglia.
Frontiers in Systems Neuroscience 5: 13 [Details]
Harischandra, N.; Cabelguen, J.; Ekeberg, Ö. (2010):
A 3D musculo-mechanical model of the salamander for the study of different gaits and modes of locomotion.
Frontiers in neurorobotics 4: 112 [Details]
Djurfeldt, M.; Hjorth, J.; Eppler, J.; Dudani, N.; Helias, M.; Potjans, T.; Bhalla, U.; Diesmann, M.; Hellgren Kotaleski, J.; Ekeberg, Ö. (2010):
Run-Time Interoperability Between Neuronal Network Simulators Based on the MUSIC Framework.
Neuroinformatics 8: 43-60 [Details]
Chiel, H.; Ting, L.; Ekeberg, Ö.; Hartmann, M. (2009):
The Brain in Its Body - Motor Control and Sensing in a Biomechanical Context.
Journal of Neuroscience 29: 12807-12814 [Details]
Djurfeldt, M.; Ekeberg, Ö.; Lansner, A. (2008):
Large-scale modeling - a tool for conquering the complexity of the brain.
Frontiers in Neuroinformatics 2: 1-4 [Details]
Djurfeldt, M.; Lundqvist, M.; Johansson, C.; Rehn, M.; Ekeberg, Ö.; Lansner, A. (2008):
Brain-scale simulation of the neocortex on the IBM Blue Gene/L  supercomputer.
IBM Journal of Research and Development 52: 31-41 [Details]
Harischandra, N.; Ekeberg, Ö. (2008):
System identification of muscle-joint interactions of the cat hind limb during locomotion.
Biological Cybernetics 99: 125-138 [Details]
Roos, M.; Yamamoto, S.; Fransen, E.; Ekeberg, Ö.; Tasuku, M. (2006):
Modeling and controlling a gait training system utilizing a biarticular muscle model.
Japan Society of Mechanical Engineers Symposium on Welfare Engineering 2006: 234-235 [Details]
Pearson, K.; Ekeberg, Ö.; Bueschges, A. (2006):
Assessing sensory function in locomotor systems using neuro-mechanical simulations.
TINS - Trends in Neurosciences 29: 625-631 [Details]
Johansson, C.; Ekeberg, Ö.; Lansner, A. (2006):
Clustering of stored memories in an attractor network with local competition.
International Journal of Neural Systems 16: 393-403 [Details]
Fransén, E.; Kozlov, A.; Xie, Y.; Christensen, C.; Djurfeldt, M.; Ekeberg, Ö.; Lansner, A. (2005):
Evaluation of model scalability in parallel neural simulators.
[Conference paper] WAM-BAMM*05; [Details]
Ekeberg, Ö.; Pearson, K. (2005):
Computer simulation of stepping in the hind legs of the cat - An examination of mechanisms regulating the stance-to-swing transition.
Journal of Neurophysiology 94: 4256-4268 [Details]
De Schutter, E.; Ekeberg, Ö.; Hellgren Kotaleski, J.; Achard, P.; Lansner, A. (2005):
Biophysically detailed modelling of microcircuits and beyond.
TINS - Trends in Neurosciences 28: 562-569 [Details]
Djurfeldt, M.; Johansson, C.; Ekeberg, Ö.; Rehn, M.; Lundqvist, M.; Lansner, A. (2005):
Massively parallel simulation of brain-scale neuronal network models.
Report [Details]
Ekeberg, Ö.; Blümel, M.; Büschges, A. (2004):
Dynamic simulation of insect walking.
Arthropod structure & development 33: 287-300 [Details]
Fagergren, A.; Ekeberg, Ö.; Forssberg, H. (2003):
Control strategies correcting inaccurately programmed fingertip forces - Model predictions derived from human behavior.
Journal of Neurophysiology 89: 2904-2916 [Details]
Bem, T.; Cabelguen, J.; Ekeberg, Ö.; Grillner, S. (2003):
From swimming to walking - a single basic network for two different behaviors.
Biological Cybernetics 88: 79-90 [Details]
Sandberg, A.; Lansner, A.; Petersson, K.; Ekeberg, Ö. (2002):
A Bayesian attractor network with incremental learning.
Network 13: 179-194 [Details]
Djurfeldt, M.; Ekeberg, Ö.; Graybiel, A. (2001):
Cortex-basal ganglia interaction and attractor states.
Neurocomputing 38-40: 573-579 [Details]
Fagergren, A.; Ekeberg, Ö.; Forssberg, H. (2000):
Precision grip force dynamics - A system identification approach.
IEEE Transactions on Biomedical Engineering 47: 1366-1375 [Details]
Sandberg, A.; Lansner, A.; Petersson, K.; Ekeberg, Ö. (2000):
A palimpsest memory based on an incremental Bayesian learning rule.
Neurocomputing 32: 987-994 [Details]
Ekeberg, Ö.; Grillner, S. (1999):
Simulations of neuromuscular control in lamprey swimming.
Philosophical Transactions of the Royal Society of London. Biological Sciences 354: 895-902 [Details]
Djurfeldt, M.; Sandberg, A.; Ekeberg, Ö.; Lansner, A. (1999):
See-A framework for simulation of biologically detailed and artificial neural networks and systems.
Neurocomputing 26-27: 997-1003 [Details]
Hammarlund, P.; Ekeberg, Ö. (1998):
Large neural network simulations on multiple hardware platforms.
Journal of Computational Neuroscience 5: 443-459 [Details]
Ekeberg, Ö.; Grillner, S.; Lansner, A. (1995):
The Neural Control of Fish Swimming studied through Numerical Simulations.
Adaptive Behavior 3: 363-384 [Details]
Ekeberg, Ö. (1993):
A combined neuronal and mechanical model of fish swimming.
Biological Cybernetics 69: 363-374 [Details]