Year |
Citation |
Score |
2020 |
Bonilla-Quintana M, Wörgötter F, Tetzlaff C, Fauth M. Modeling the Shape of Synaptic Spines by Their Actin Dynamics. Frontiers in Synaptic Neuroscience. 12: 9. PMID 32218728 DOI: 10.3389/Fnsyn.2020.00009 |
0.318 |
|
2020 |
Wörgötter F, Ziaeetabar F, Pfeiffer S, Kaya O, Kulvicius T, Tamosiunaite M. Humans Predict Action using Grammar-like Structures. Scientific Reports. 10: 3999. PMID 32132602 DOI: 10.1038/S41598-020-60923-5 |
0.303 |
|
2020 |
Lüddecke T, Wörgötter F. Fine-grained action plausibility rating Robotics and Autonomous Systems. 129: 103511. DOI: 10.1016/J.Robot.2020.103511 |
0.364 |
|
2020 |
Wörgötter F, Tamosiunaite M. Helping a robot to understand human actions and objects: a grammatical view Artificial Life and Robotics. 25: 388-392. DOI: 10.1007/S10015-020-00600-Y |
0.312 |
|
2019 |
Herzog S, Tetzlaff C, Wörgötter F. Evolving artificial neural networks with feedback. Neural Networks : the Official Journal of the International Neural Network Society. 123: 153-162. PMID 31874331 DOI: 10.1016/J.Neunet.2019.12.004 |
0.315 |
|
2019 |
Tamosiunaite M, Aein MJ, Braun JM, Kulvicius T, Markievicz I, Kapociute-Dzikiene J, Valteryte R, Haidu A, Chrysostomou D, Ridge B, Krilavicius T, Vitkute-Adzgauskiene D, Beetz M, Madsen O, Ude A, et al. Cut & recombine: reuse of robot action components based on simple language instructions: The International Journal of Robotics Research. 38: 1179-1207. DOI: 10.1177/0278364919865594 |
0.312 |
|
2019 |
Aein MJ, Aksoy EE, Wörgötter F. Library of Actions : Implementing a Generic Robot Execution Framework by Using Manipulation Action Semantics The International Journal of Robotics Research. 38: 910-934. DOI: 10.1177/0278364919850295 |
0.318 |
|
2019 |
Lüddecke T, Kulvicius T, Wörgötter F. Context-based affordance segmentation from 2D images for robot actions Robotics and Autonomous Systems. 119: 92-107. DOI: 10.1016/J.Robot.2019.05.005 |
0.345 |
|
2018 |
Braun JM, Wörgötter F, Manoonpong P. Modular Neural Mechanisms for Gait Phase Tracking, Prediction, and Selection in Personalizable Knee-Ankle-Foot-Orthoses. Frontiers in Neurorobotics. 12: 37. PMID 30090061 DOI: 10.3389/Fnbot.2018.00037 |
0.306 |
|
2018 |
Ambe Y, Aoi S, Nachstedt T, Manoonpong P, Wörgötter F, Matsuno F. Simple analytical model reveals the functional role of embodied sensorimotor interaction in hexapod gaits. Plos One. 13: e0192469. PMID 29489831 DOI: 10.1371/Journal.Pone.0192469 |
0.339 |
|
2018 |
Herzog S, Wörgötter F, Parlitz U. Data-Driven Modeling and Prediction of Complex Spatio-Temporal Dynamics in Excitable Media Frontiers in Applied Mathematics and Statistics. 4. DOI: 10.3389/Fams.2018.00060 |
0.309 |
|
2018 |
Savarimuthu TR, Buch AG, Schlette C, Wantia N, Robmann J, Martinez D, Alenya G, Torras C, Ude A, Nemec B, Kramberger A, Worgotter F, Aksoy EE, Papon J, Haller S, et al. Teaching a Robot the Semantics of Assembly Tasks Ieee Transactions On Systems, Man, and Cybernetics. 48: 670-692. DOI: 10.1109/Tsmc.2016.2635479 |
0.309 |
|
2018 |
Ziaeetabar F, Kulvicius T, Tamosiunaite M, Wörgötter F. Recognition and prediction of manipulation actions using Enriched Semantic Event Chains Robotics and Autonomous Systems. 110: 173-188. DOI: 10.1016/J.Robot.2018.10.005 |
0.331 |
|
2017 |
Strub C, Schöner G, Wörgötter F, Sandamirskaya Y. Dynamic Neural Fields with Intrinsic Plasticity. Frontiers in Computational Neuroscience. 11: 74. PMID 28912706 DOI: 10.3389/Fncom.2017.00074 |
0.366 |
|
2017 |
Aoi S, Manoonpong P, Ambe Y, Matsuno F, Wörgötter F. Adaptive Control Strategies for Interlimb Coordination in Legged Robots: A Review. Frontiers in Neurorobotics. 11: 39. PMID 28878645 DOI: 10.3389/Fnbot.2017.00039 |
0.355 |
|
2017 |
Herzog S, Wörgötter F, Kulvicius T. Generation of movements with boundary conditions based on optimal control theory Robotics and Autonomous Systems. 94: 1-11. DOI: 10.1016/J.Robot.2017.04.006 |
0.334 |
|
2017 |
Aksoy EE, Orhan A, Wörgötter F. Semantic Decomposition and Recognition of Long and Complex Manipulation Action Sequences International Journal of Computer Vision. 122: 84-115. DOI: 10.1007/S11263-016-0956-8 |
0.311 |
|
2016 |
Manoonpong P, Petersen D, Kovalev A, Wörgötter F, Gorb SN, Spinner M, Heepe L. Enhanced Locomotion Efficiency of a Bio-inspired Walking Robot using Contact Surfaces with Frictional Anisotropy. Scientific Reports. 6: 39455. PMID 28008936 DOI: 10.1038/Srep39455 |
0.323 |
|
2016 |
Lyzwa D, Wörgötter F. Neural and Response Correlations to Complex Natural Sounds in the Auditory Midbrain. Frontiers in Neural Circuits. 10: 89. PMID 27891078 DOI: 10.3389/Fncir.2016.00089 |
0.318 |
|
2015 |
Fauth M, Wörgötter F, Tetzlaff C. Formation and Maintenance of Robust Long-Term Information Storage in the Presence of Synaptic Turnover. Plos Computational Biology. 11: e1004684. PMID 26713858 DOI: 10.1371/Journal.Pcbi.1004684 |
0.332 |
|
2015 |
Grinke E, Tetzlaff C, Wörgötter F, Manoonpong P. Synaptic plasticity in a recurrent neural network for versatile and adaptive behaviors of a walking robot. Frontiers in Neurorobotics. 9: 11. PMID 26528176 DOI: 10.3389/Fnbot.2015.00011 |
0.42 |
|
2015 |
Dasgupta S, Goldschmidt D, Wörgötter F, Manoonpong P. Distributed recurrent neural forward models with synaptic adaptation and CPG-based control for complex behaviors of walking robots. Frontiers in Neurorobotics. 9: 10. PMID 26441629 DOI: 10.3389/Fnbot.2015.00010 |
0.548 |
|
2015 |
Xiong X, Worgotter F, Manoonpong P. Adaptive and Energy Efficient Walking in a Hexapod Robot Under Neuromechanical Control and Sensorimotor Learning. Ieee Transactions On Cybernetics. PMID 26441437 DOI: 10.1109/Tcyb.2015.2479237 |
0.379 |
|
2015 |
Tetzlaff C, Dasgupta S, Kulvicius T, Wörgötter F. The Use of Hebbian Cell Assemblies for Nonlinear Computation. Scientific Reports. 5: 12866. PMID 26249242 DOI: 10.1038/Srep12866 |
0.547 |
|
2015 |
Fauth M, Wörgötter F, Tetzlaff C. The formation of multi-synaptic connections by the interaction of synaptic and structural plasticity and their functional consequences. Plos Computational Biology. 11: e1004031. PMID 25590330 DOI: 10.1371/Journal.Pcbi.1004031 |
0.335 |
|
2015 |
Chatterjee S, Nachstedt T, Tamosiunaite M, Wörgötter F, Enomoto Y, Ariizumi R, Matsuno F, Manoonpong P. Learning and Chaining of Motor Primitives for Goal-Directed Locomotion of a Snake-Like Robot with Screw-Drive Units International Journal of Advanced Robotic Systems. 12: 176. DOI: 10.5772/61621 |
0.356 |
|
2015 |
Auth JM, Nachstedt T, Tetzlaff C, Wörgötter F. Stimulus discrimination and association with Hebbian cell assemblies Bmc Neuroscience. 16: 287. DOI: 10.1186/1471-2202-16-S1-P287 |
0.375 |
|
2015 |
Nachstedt T, Wörgötter F, Tetzlaff C. Towards a biological plausible model of the interaction of long-term memory and working memory Bmc Neuroscience. 16: 254. DOI: 10.1186/1471-2202-16-S1-P254 |
0.349 |
|
2015 |
Herpich J, Wörgötter F, Tetzlaff C. Interaction between memories in an abstract mathematical model based on the Hebbian cell assembly hypothesis Bmc Neuroscience. 16: 253. DOI: 10.1186/1471-2202-16-S1-P253 |
0.365 |
|
2015 |
Dasgupta S, Tetzlaff C, Kulvicius T, Wörgötter F. Self-organization of computation in neural systems by interaction between homeostatic and synaptic plasticity Bmc Neuroscience. 16. DOI: 10.1186/1471-2202-16-S1-O5 |
0.543 |
|
2015 |
Fauth MJ, Wörgötter F, Tetzlaff C. Collective information storage in multiple synapses enables fast learning and slow forgetting Bmc Neuroscience. 16: 1-1. DOI: 10.1186/1471-2202-16-S1-O15 |
0.35 |
|
2015 |
Worgotter F, Geib C, Tamosiunaite M, Aksoy EE, Piater J, Xiong H, Ude A, Nemec B, Kraft D, Kruger N, Wachter M, Asfour T. Structural bootstrapping-A novel, generative mechanism for faster and more efficient acquisition of action-knowledge Ieee Transactions On Autonomous Mental Development. 7: 140-154. DOI: 10.1109/Tamd.2015.2427233 |
0.353 |
|
2015 |
Goldschmidt D, Dasgupta S, Wörgötter F, Manoonpong P. A neural path integration mechanism for adaptive vector navigation in autonomous agents Proceedings of the International Joint Conference On Neural Networks. 2015. DOI: 10.1109/IJCNN.2015.7280400 |
0.423 |
|
2015 |
Tetzlaff C, Dasgupta S, Kulvicius T, Wörgötter F. The Use of Hebbian Cell Assemblies for Nonlinear Computation Scientific Reports. 5. DOI: 10.1038/srep12866 |
0.366 |
|
2015 |
Aksoy EE, Tamosiunaite M, Wörgötter F. Model-free incremental learning of the semantics of manipulation actions Robotics and Autonomous Systems. 71: 118-133. DOI: 10.1016/J.Robot.2014.11.003 |
0.348 |
|
2015 |
Ren G, Chen W, Dasgupta S, Kolodziejski C, Wörgötter F, Manoonpong P. Multiple chaotic central pattern generators with learning for legged locomotion and malfunction compensation Information Sciences. 294: 666-682. DOI: 10.1016/J.Ins.2014.05.001 |
0.547 |
|
2014 |
Dasgupta S, Wörgötter F, Manoonpong P. Neuromodulatory adaptive combination of correlation-based learning in cerebellum and reward-based learning in basal ganglia for goal-directed behavior control. Frontiers in Neural Circuits. 8: 126. PMID 25389391 DOI: 10.3389/Fncir.2014.00126 |
0.521 |
|
2014 |
Goldschmidt D, Wörgötter F, Manoonpong P. Biologically-inspired adaptive obstacle negotiation behavior of hexapod robots. Frontiers in Neurorobotics. 8: 3. PMID 24523694 DOI: 10.3389/Fnbot.2014.00003 |
0.368 |
|
2014 |
Dasgupta S, Manoonpong P, Wörgötter F. Reservoir of neurons with adaptive time constants: a hybrid model for robust motor-sensory temporal processing Bmc Neuroscience. 15. DOI: 10.1186/1471-2202-15-S1-P9 |
0.557 |
|
2014 |
Nachstedt T, Wörgötter F, Tetzlaff C. Self-organized cell assembly formation Bmc Neuroscience. 15: 30. DOI: 10.1186/1471-2202-15-S1-P30 |
0.353 |
|
2014 |
Tetzlaff C, Dasgupta S, Wörgötter F. The association between cell assemblies and transient dynamics Bmc Neuroscience. 15. DOI: 10.1186/1471-2202-15-S1-P10 |
0.542 |
|
2014 |
Xiong X, Wörgötter F, Manoonpong P. Neuromechanical control for hexapedal robot walking on challenging surfaces and surface classification Robotics and Autonomous Systems. 62: 1777-1789. DOI: 10.1016/J.Robot.2014.07.008 |
0.331 |
|
2014 |
Agostini A, Torras C, Wörgötter F. Learning weakly correlated cause-effects for gardening with a cognitive system Engineering Applications of Artificial Intelligence. 36: 178-194. DOI: 10.1016/J.Engappai.2014.07.017 |
0.302 |
|
2014 |
Schlette C, Buch AG, Aksoy EE, Steil T, Papon J, Savarimuthu TR, Wörgötter F, Krüger N, Roßmann J. A new benchmark for pose estimation with ground truth from virtual reality Production Engineering. 8: 745-754. DOI: 10.1007/S11740-014-0552-0 |
0.333 |
|
2014 |
Zeidan B, Dasgupta S, Wörgötter F, Manoonpong P. Adaptive landmark-based navigation system using learning techniques Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8575: 121-131. DOI: 10.1007/978-3-319-08864-8_12 |
0.415 |
|
2013 |
Fauth M, Tetzlaff C, Wörgötter F. Modelling the interaction of structural and synaptic plasticity Bmc Neuroscience. 14: 416. DOI: 10.1186/1471-2202-14-S1-P416 |
0.342 |
|
2013 |
Manoonpong P, Kolodziejski C, Wörgötter F, Morimoto J. Combining correlation-based and reward-based learning in neural control for policy improvement Advances in Complex Systems. 16. DOI: 10.1142/S021952591350015X |
0.343 |
|
2013 |
Hesse F, Wörgötter F. A goal-orientation framework for self-organizing control Advances in Complex Systems. 16. DOI: 10.1142/S0219525913500021 |
0.346 |
|
2013 |
Wörgötter F, Aksoy EE, Krüger N, Piater J, Ude A, Tamosiunaite M. A simple ontology of manipulation actions based on hand-object relations Ieee Transactions On Autonomous Mental Development. 5: 117-134. DOI: 10.1109/Tamd.2012.2232291 |
0.334 |
|
2013 |
Dasgupta S, Wörgötter F, Morimoto J, Manoonpong P. Neural combinatorial learning of goal-directed behavior with reservoir critic and reward modulated hebbian plasticity Proceedings - 2013 Ieee International Conference On Systems, Man, and Cybernetics, Smc 2013. 993-1000. DOI: 10.1109/SMC.2013.174 |
0.437 |
|
2013 |
Kulvicius T, Biehl M, Aein MJ, Tamosiunaite M, Wörgötter F. Interaction learning for dynamic movement primitives used in cooperative robotic tasks Robotics and Autonomous Systems. 61: 1450-1459. DOI: 10.1016/J.Robot.2013.07.009 |
0.366 |
|
2013 |
Dasgupta S, Wörgötter F, Manoonpong P. Information dynamics based self-adaptive reservoir for delay temporal memory tasks Evolving Systems. 4: 235-249. DOI: 10.1007/S12530-013-9080-Y |
0.529 |
|
2012 |
Tetzlaff C, Kolodziejski C, Timme M, Wörgötter F. Analysis of synaptic scaling in combination with hebbian plasticity in several simple networks. Frontiers in Computational Neuroscience. 6: 36. PMID 22719724 DOI: 10.3389/Fncom.2012.00036 |
0.584 |
|
2012 |
Ainge JA, Tamosiunaite M, Wörgötter F, Dudchenko PA. Hippocampal place cells encode intended destination, and not a discriminative stimulus, in a conditional T-maze task. Hippocampus. 22: 534-43. PMID 21365712 DOI: 10.1002/Hipo.20919 |
0.307 |
|
2012 |
Ning K, Wörgötter F. Control system development for a novel wire-driven hyper-redundant chain robot, 3D-trunk Ieee/Asme Transactions On Mechatronics. 17: 949-959. DOI: 10.1109/Tmech.2011.2151202 |
0.303 |
|
2012 |
Abramov A, Pauwels K, Papon J, Wörgötter F, Dellen B. Real-time segmentation of stereo videos on a portable system with a mobile GPU Ieee Transactions On Circuits and Systems For Video Technology. 22: 1292-1305. DOI: 10.1109/Tcsvt.2012.2199389 |
0.342 |
|
2012 |
Ren G, Chen W, Kolodziejski C, Wörgötter F, Dasgupta S, Manoonpong P. Multiple chaotic central pattern generators for locomotion generation and leg damage compensation in a hexapod robot Ieee International Conference On Intelligent Robots and Systems. 2756-2761. DOI: 10.1109/IROS.2012.6385573 |
0.423 |
|
2012 |
Ning K, Kulvicius T, Tamosiunaite M, Wörgötter F. A novel trajectory generation method for robot control Journal of Intelligent and Robotic Systems: Theory and Applications. 68: 165-184. DOI: 10.1007/S10846-012-9683-8 |
0.333 |
|
2012 |
Dasgupta S, Wörgötter F, Manoonpong P. Information Theoretic Self-organised Adaptation in Reservoirs for Temporal Memory Tasks Communications in Computer and Information Science. 311: 31-40. DOI: 10.1007/978-3-642-32909-8_4 |
0.378 |
|
2011 |
Tetzlaff C, Kolodziejski C, Timme M, Wörgötter F. Synaptic scaling in combination with many generic plasticity mechanisms stabilizes circuit connectivity. Frontiers in Computational Neuroscience. 5: 47. PMID 22203799 DOI: 10.3389/Fncom.2011.00047 |
0.583 |
|
2011 |
Tetzlaff C, Kolodziejski C, Timme M, Wörgötter F. Synaptic scaling generically stabilizes circuit connectivity Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-P372 |
0.588 |
|
2011 |
Aksoy EE, Abramov A, Dörr J, Ning K, Dellen B, Wörgötter F. Learning the semantics of object-action relations by observation International Journal of Robotics Research. 30: 1229-1249. DOI: 10.1177/0278364911410459 |
0.377 |
|
2011 |
Markelić I, Kjær-Nielsen A, Pauwels K, Baunegaard With Jensen L, Chumerin N, Vidugiriene A, Tamosiunaite M, Rotter A, Van Hulle M, Krüger N, Wörgötter F. The driving school system: Learning basic driving skills from a teacher in a real car Ieee Transactions On Intelligent Transportation Systems. 12: 1135-1146. DOI: 10.1109/Tits.2011.2157690 |
0.33 |
|
2011 |
Tamosiunaite M, Nemec B, Ude A, Wörgötter F. Learning to pour with a robot arm combining goal and shape learning for dynamic movement primitives Robotics and Autonomous Systems. 59: 910-922. DOI: 10.1016/J.Robot.2011.07.004 |
0.348 |
|
2011 |
Krüger N, Geib C, Piater J, Petrick R, Steedman M, Wörgötter F, Ude A, Asfour T, Kraft D, Omrčen D, Agostini A, Dillmann R. ObjectAction Complexes: Grounded abstractions of sensorymotor processes Robotics and Autonomous Systems. 59: 740-757. DOI: 10.1016/J.Robot.2011.05.009 |
0.322 |
|
2010 |
Kolodziejski C, Tetzlaff C, Wörgötter F. Closed-Form Treatment of the Interactions between Neuronal Activity and Timing-Dependent Plasticity in Networks of Linear Neurons. Frontiers in Computational Neuroscience. 4: 134. PMID 21152348 DOI: 10.3389/Fncom.2010.00134 |
0.332 |
|
2010 |
Pauwels K, Krüger N, Lappe M, Wörgötter F, Van Hulle MM. A cortical architecture on parallel hardware for motion processing in real time. Journal of Vision. 10: 18. PMID 20884483 DOI: 10.1167/10.10.18 |
0.334 |
|
2010 |
Dellen B, Wessel R, Clark JW, Wörgötter F. Motion processing with wide-field neurons in the retino-tecto-rotundal pathway. Journal of Computational Neuroscience. 28: 47-64. PMID 19795201 DOI: 10.1007/S10827-009-0186-Y |
0.331 |
|
2010 |
Thompson AM, Porr B, Wörgötter F. Learning and reversal learning in the subcortical limbic system: A computational model Adaptive Behavior. 18: 211-236. DOI: 10.1177/1059712309353612 |
0.31 |
|
2010 |
Pugeault N, Wörgötter F, Krüger N. Visual Primitives: Local, Condensed, Semantically Rich Visual Descriptors And Their Applications In Robotics International Journal of Humanoid Robotics. 7: 379-405. DOI: 10.1142/S0219843610002209 |
0.343 |
|
2010 |
Steingrube S, Timme M, Wörgötter F, Manoonpong P. Self-organized adaptation of a simple neural circuit enables complex robot behaviour Nature Physics. 6: 224-230. DOI: 10.1038/Nphys1508 |
0.607 |
|
2010 |
Tamosiunaite M, Porr B, Wörgötter F. Erratum to: Self-influencing synaptic plasticity: recurrent changes of synaptic weights can lead to specific functional properties Journal of Computational Neuroscience. 28: 621-621. DOI: 10.1007/S10827-010-0218-7 |
0.319 |
|
2010 |
Tamosiunaite M, Ainge J, Kulvicius T, Porr B, Dudchenko P, Wörgötter F. Erratum to: Path-finding in real and simulated rats: assessing the influence of path characteristics on navigation learning Journal of Computational Neuroscience. 28: 619-619. DOI: 10.1007/S10827-010-0217-8 |
0.343 |
|
2010 |
Schröder-Schetelig J, Manoonpong P, Wörgötter F. Using efference copy and a forward internal model for adaptive biped walking Autonomous Robots. 29: 357-366. DOI: 10.1007/S10514-010-9199-7 |
0.363 |
|
2009 |
Butz M, van Ooyen A, Wörgötter F. A model for cortical rewiring following deafferentation and focal stroke. Frontiers in Computational Neuroscience. 3: 10. PMID 19680468 DOI: 10.3389/Neuro.10.010.2009 |
0.327 |
|
2009 |
Thompson AM, Porr B, Wörgötter F. Behavioral inhibition during reversal learning in the limbic system: a computational model Bmc Neuroscience. 10: 8. DOI: 10.1186/1471-2202-10-S1-P8 |
0.33 |
|
2009 |
Tetzlaff C, Okujeni S, Egert U, Wörgötter F, Butz M. Self-organized criticality of developing artificial neuronal networks and dissociated cell cultures Bmc Neuroscience. 10: 215. DOI: 10.1186/1471-2202-10-S1-P215 |
0.306 |
|
2009 |
Butz M, Wörgötter F, van Ooyen A. A model for cortical remapping and structural plasticity following focal retinal lesions Bmc Neuroscience. 10. DOI: 10.1186/1471-2202-10-S1-P206 |
0.313 |
|
2009 |
Ning K, Wörgötter F. A novel concept for building a hyper-redundant chain robot Ieee Transactions On Robotics. 25: 1237-1248. DOI: 10.1109/Tro.2009.2032968 |
0.328 |
|
2009 |
Manoonpong P, Wörgötter F. Efference copies in neural control of dynamic biped walking Robotics and Autonomous Systems. 57: 1140-1153. DOI: 10.1016/J.Robot.2009.06.007 |
0.358 |
|
2009 |
Wörgötter F, Agostini A, Krüger N, Shylo N, Porr B. Cognitive agents - a procedural perspective relying on the predictability of Object-Action-Complexes (OACs) Robotics and Autonomous Systems. 57: 420-432. DOI: 10.1016/J.Robot.2008.06.011 |
0.302 |
|
2008 |
Kulvicius T, Tamosiunaite M, Ainge J, Dudchenko P, Wörgötter F. Odor supported place cell model and goal navigation in rodents. Journal of Computational Neuroscience. 25: 481-500. PMID 18431616 DOI: 10.1007/S10827-008-0090-X |
0.307 |
|
2008 |
Kraft D, Pugeault N, Başeski E, Popović M, Kragić D, Kalkan S, Wörgötter F, Krüger N. Birth of the object: Detection of objectness and extraction of object shape through object-action complexes International Journal of Humanoid Robotics. 5: 247-265. DOI: 10.1142/S021984360800139X |
0.327 |
|
2008 |
Manoonpong P, Pasemann F, Wörgötter F. Sensor-driven neural control for omnidirectional locomotion and versatile reactive behaviors of walking machines Robotics and Autonomous Systems. 56: 265-288. DOI: 10.1016/J.Robot.2007.07.004 |
0.326 |
|
2007 |
Hennig MH, Wörgötter F. Effects of fixational eye movements on retinal ganglion cell responses: a modelling study. Frontiers in Computational Neuroscience. 1: 2. PMID 18946524 DOI: 10.3389/Neuro.10.002.2007 |
0.636 |
|
2007 |
Manoonpong P, Geng T, Kulvicius T, Porr B, Wörgötter F. Correction: Adaptive, Fast Walking in a Biped Robot under Neuronal Control and Learning. Plos Computational Biology. 3. DOI: 10.1371/Journal.Pcbi.0030191 |
0.305 |
|
2007 |
McCabe L, Prodi PD, Porr B, Wörgötter F. Shaping of STDP curve by interneuron and Ca2+ dynamics. Bmc Neuroscience. 8: 83. DOI: 10.1186/1471-2202-8-S2-P83 |
0.31 |
|
2007 |
Kulvicius T, Tamosiunaite M, Wörgötter F. Development of place cells by a simple model in a closed loop context Bmc Neuroscience. 8: 106. DOI: 10.1186/1471-2202-8-S2-P106 |
0.333 |
|
2007 |
Porr B, Kulvicius T, Wörgötter F. Improved stability and convergence with three factor learning Neurocomputing. 70: 2005-2008. DOI: 10.1016/J.Neucom.2006.10.137 |
0.331 |
|
2007 |
Kulvicius T, Porr B, Wörgötter F. Development of receptive fields in a closed-loop behavioural system Neurocomputing. 70: 2046-2049. DOI: 10.1016/J.Neucom.2006.10.132 |
0.34 |
|
2006 |
Geng T, Porr B, Wörgötter F. Fast biped walking with a sensor-driven neuronal controller and real-time online learning International Journal of Robotics Research. 25: 243-259. DOI: 10.1177/0278364906063822 |
0.36 |
|
2005 |
Krüger N, Wörgötter F. Symbolic pointillism: Computer art motivated by human brain structures Leonardo. 38: 337-340. DOI: 10.1162/0024094054762052 |
0.311 |
|
2005 |
Porr B, Wörgötter F. Inside embodiment - What means embodiment to radical constructivists? Kybernetes. 34: 105-117. DOI: 10.1108/03684920510575762 |
0.31 |
|
2005 |
Krüger N, Wörgötter F. Multi-modal primitives as functional models of hyper-columns and their use for contextual integration Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3704: 157-166. DOI: 10.1007/11565123_16 |
0.315 |
|
2004 |
Wörgötter F, Krüger N, Pugeault N, Calow D, Lappe M, Pauwels K, Van Hulle M, Tan S, Johnston A. Early cognitive vision: Using Gestalt-laws for task-dependent, active image-processing Natural Computing. 3: 293-321. DOI: 10.1023/B:Naco.0000036817.38320.Fe |
0.341 |
|
2004 |
Krüger N, Wörgötter F. Statistical and deterministic regularities: Utilization of motion and grouping in biological and artificial visual systems Advances in Imaging and Electron Physics. 131: 81-146. DOI: 10.1016/S1076-5670(04)31003-7 |
0.31 |
|
2004 |
Hennig MH, Wörgötter F. Eye micro-movements improve stimulus detection beyond the Nyquist limit in the peripheral retina Advances in Neural Information Processing Systems. |
0.589 |
|
2002 |
Porr B, Wörgötter F. Predictive learning in rate-coded neuronal networks: a theoretical approach towards classical conditioning Neurocomputing. 44: 585-590. DOI: 10.1016/S0925-2312(02)00444-7 |
0.332 |
|
2002 |
Hennig MH, Kerscher NJ, Funke K, Wörgötter F. Stochastic resonance in visual cortical neurons: Does the eye-tremor actually improve visual acuity? Neurocomputing. 44: 115-120. DOI: 10.1016/S0925-2312(02)00371-5 |
0.654 |
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2001 |
Cozzi A, Wörgötter F. COMVIS: A communication framework for computer vision International Journal of Computer Vision. 41: 183-194. DOI: 10.1023/A:1011156004656 |
0.307 |
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2000 |
Suder K, Wörgötter F, Wennekers T. Neural field description of state-dependent visual receptive field changes Neurocomputing. 32: 545-551. DOI: 10.1016/S0925-2312(00)00211-3 |
0.306 |
|
1999 |
Wörgötter F, Cozzi A, Gerdes V. A parallel noise-robust algorithm to recover depth information from radial flow fields Neural Computation. 11: 381-416. PMID 9950737 DOI: 10.1162/089976699300016700 |
0.311 |
|
1994 |
Niebur E, Wörgötter F. Design Principles of Columnar Organization in Visual Cortex Neural Computation. 6: 602-614. DOI: 10.1162/Neco.1994.6.4.602 |
0.574 |
|
1993 |
Wörgötter F, Niebur E. Cortical column design: a link between the maps of preferred orientation and orientation tuning strength? Biological Cybernetics. 70: 1-13. DOI: 10.1007/Bf00202561 |
0.58 |
|
1992 |
Wörgötter F, Niebur E, Koch C. Generation of Direction Selectivity by Isotropic Intracortical Connections Neural Computation. 4: 332-340. DOI: 10.1162/Neco.1992.4.3.332 |
0.642 |
|
1990 |
Wörgötter F, Gründel O, Eysel UT. Quantification and Comparison of Cell Properties in Cat's Striate Cortex Determined by Different Types of Stimuli. The European Journal of Neuroscience. 2: 928-941. PMID 12106080 DOI: 10.1111/J.1460-9568.1990.Tb00005.X |
0.304 |
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