Florentin Wörgötter, Ph.D. - Publications

Affiliations: 
Computational Neuroscience Georg-August-Universität Göttingen, Göttingen, Niedersachsen, Germany 
Area:
Computational Neuroscience, Reinforcement Learning, Robotics
Website:
http://www.uni-goettingen.de/en/58059.html

106 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

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
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
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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