Jochen Triesch - Publications

Affiliations: 
Frankfurt Institute for Advanced Studies, Fijaš, Slovakia 
Area:
Neural Computation
Website:
http://fias.uni-frankfurt.de/~triesch/

75 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
2021 Vieth M, Stöber TM, Triesch J. PymoNNto: A Flexible Modular Toolbox for Designing Brain-Inspired Neural Networks. Frontiers in Neuroinformatics. 15: 715131. PMID 34790108 DOI: 10.3389/fninf.2021.715131  0.755
2019 Groden M, Weigand M, Triesch J, Jedlicka P, Cuntz H. A Model of Brain Folding Based on Strong Local and Weak Long-Range Connectivity Requirements. Cerebral Cortex (New York, N.Y. : 1991). PMID 31808811 DOI: 10.1093/Cercor/Bhz249  0.514
2018 Wijesinghe LP, Triesch J, Shi BE. Robot End Effector Tracking Using Predictive Multisensory Integration. Frontiers in Neurorobotics. 12: 66. PMID 30386227 DOI: 10.3389/Fnbot.2018.00066  0.316
2017 Rosenow F, van Alphen N, Becker A, Chiocchetti A, Deichmann R, Deller T, Freiman T, Freitag CM, Gehrig J, Hermsen AM, Jedlicka P, Kell C, Klein KM, Knake S, Kullmann DM, ... ... Triesch J, et al. Personalized translational epilepsy research - Novel approaches and future perspectives: Part I: Clinical and network analysis approaches. Epilepsy & Behavior : E&B. PMID 28917501 DOI: 10.1016/J.Yebeh.2017.06.041  0.555
2017 Bauer S, van Alphen N, Becker A, Chiocchetti A, Deichmann R, Deller T, Freiman T, Freitag CM, Gehrig J, Hermsen AM, Jedlicka P, Kell C, Klein KM, Knake S, Kullmann DM, ... ... Triesch J, et al. Personalized translational epilepsy research - Novel approaches and future perspectives: Part II: Experimental and translational approaches. Epilepsy & Behavior : E&B. PMID 28917498 DOI: 10.1016/J.Yebeh.2017.06.040  0.555
2017 Wang Q, Rothkopf CA, Triesch J. A model of human motor sequence learning explains facilitation and interference effects based on spike-timing dependent plasticity. Plos Computational Biology. 13: e1005632. PMID 28767646 DOI: 10.1371/Journal.Pcbi.1005632  0.765
2016 Priamikov A, Fronius M, Shi B, Triesch J. OpenEyeSim: A biomechanical model for simulation of closed-loop visual perception. Journal of Vision. 16: 25. PMID 28006074 DOI: 10.1167/16.15.25  0.301
2016 Zhang C, Triesch J, Shi BE. An active-efficient-coding model of optokinetic nystagmus. Journal of Vision. 16: 10. PMID 27832268 DOI: 10.1167/16.14.10  0.304
2016 Sharpee TO, Destexhe A, Kawato M, Sekulić V, Skinner FK, Wójcik DK, Chintaluri C, Cserpán D, Somogyvári Z, Kim JK, Kilpatrick ZP, Bennett MR, Josić K, Elices I, Arroyo D, ... ... Triesch J, et al. 25th Annual Computational Neuroscience Meeting: CNS-2016 Bmc Neuroscience. 17: 54. PMID 27534393 DOI: 10.1186/S12868-016-0283-6  0.481
2015 Hartmann C, Lazar A, Nessler B, Triesch J. Where's the Noise? Key Features of Spontaneous Activity and Neural Variability Arise through Learning in a Deterministic Network. Plos Computational Biology. 11: e1004640. PMID 26714277 DOI: 10.1371/Journal.Pcbi.1004640  0.497
2015 Hartmann C, Lazar A, Triesch J. Key features of neural variability emerge from self-organized sequence learning in a deterministic neural network Bmc Neuroscience. 16: 266. DOI: 10.1186/1471-2202-16-S1-P266  0.48
2015 Teulière C, Forestier S, Lonini L, Zhang C, Zhao Y, Shi B, Triesch J. Self-calibrating smooth pursuit through active efficient coding Robotics and Autonomous Systems. 71: 3-12. DOI: 10.1016/J.Robot.2014.11.006  0.303
2014 Savin C, Triesch J. Emergence of task-dependent representations in working memory circuits. Frontiers in Computational Neuroscience. 8: 57. PMID 24904395 DOI: 10.3389/Fncom.2014.00057  0.569
2014 Deák GO, Krasno AM, Triesch J, Lewis J, Sepeta L. Watch the hands: infants can learn to follow gaze by seeing adults manipulate objects. Developmental Science. 17: 270-81. PMID 24387193 DOI: 10.1111/Desc.12122  0.653
2014 Lonini L, Dimitrakakis C, Rothkopf CA, Triesch J. Generalization and interference in human motor control Computational and Robotic Models of the Hierarchical Organization of Behavior. 155-176. DOI: 10.1007/978-3-642-39875-9_8  0.734
2013 Pamplona D, Triesch J, Rothkopf CA. Power spectra of the natural input to the visual system. Vision Research. 83: 66-75. PMID 23458676 DOI: 10.1016/J.Visres.2013.01.011  0.753
2013 Wang Q, Bolhuis J, Rothkopf C, Kolling T, Knopf M, Triesch J. Infants in Control - Rapid Learning of Action Outcomes by 6 and 8-Month-Olds in a Gaze-Contingent Paradigm Journal of Vision. 13: 922-922. DOI: 10.1167/13.9.922  0.765
2013 Pamplona D, Triesch J, Rothkopf CA. Can the imaging process explain ganglion cells anisotropies Perception. 42: 144-144. DOI: 10.1068/V130730  0.753
2012 Wang Q, Bolhuis J, Rothkopf CA, Kolling T, Knopf M, Triesch J. Infants in control: rapid anticipation of action outcomes in a gaze-contingent paradigm. Plos One. 7: e30884. PMID 22363507 DOI: 10.1371/Journal.Pone.0030884  0.771
2012 Pamplona D, Triesch J, Rothkopf CA. The statistics of looking: Deriving properties of retinal ganglion cells across the visual field Journal of Vision. 12: 771-771. DOI: 10.1167/12.9.771  0.753
2012 Jasso H, Triesch J, Deák G, Lewis JM. A unified account of gaze following Ieee Transactions On Autonomous Mental Development. 4: 257-272. DOI: 10.1109/Tamd.2012.2208640  0.664
2012 Zhao Y, Rothkopf CA, Triesch J, Shi BE. A unified model of the joint development of disparity selectivity and vergence control 2012 Ieee International Conference On Development and Learning and Epigenetic Robotics, Icdl 2012. DOI: 10.1109/DevLrn.2012.6400876  0.732
2011 Saeb S, Weber C, Triesch J. Learning the optimal control of coordinated eye and head movements. Plos Computational Biology. 7: e1002253. PMID 22072953 DOI: 10.1371/Journal.Pcbi.1002253  0.764
2011 Weisswange TH, Rothkopf CA, Rodemann T, Triesch J. Bayesian cue integration as a developmental outcome of reward mediated learning. Plos One. 6: e21575. PMID 21750717 DOI: 10.1371/journal.pone.0021575  0.747
2011 Toutounji H, Rothkopf CA, Triesch J. Scalable reinforcement learning through hierarchical decompositions for weakly-coupled problems 2011 Ieee International Conference On Development and Learning, Icdl 2011. DOI: 10.1109/DEVLRN.2011.6037351  0.754
2011 Lazar A, Pipa G, Triesch J. Emerging Bayesian priors in a self-organizing recurrent network Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6792: 127-134. DOI: 10.1007/978-3-642-21738-8_17  0.65
2010 Simmering VR, Triesch J, Deák GO, Spencer JP. To Model or Not to Model? A Dialogue on the Role of Computational Modeling in Developmental Science. Child Development Perspectives. 4: 152-158. PMID 21625352 DOI: 10.1111/j.1750-8606.2010.00134.x  0.621
2010 Franz A, Triesch J. A unified computational model of the development of object unity, object permanence, and occluded object trajectory perception. Infant Behavior & Development. 33: 635-53. PMID 20864178 DOI: 10.1016/j.infbeh.2010.07.018  0.454
2010 Savin C, Joshi P, Triesch J. Independent component analysis in spiking neurons. Plos Computational Biology. 6: e1000757. PMID 20421937 DOI: 10.1371/Journal.Pcbi.1000757  0.676
2010 Rothkopf C, Weisswange T, Triesch J. A walk through the woods explains the space variant oblique effect Journal of Vision. 9: 1049-1049. DOI: 10.1167/9.8.1049  0.747
2010 Robinson AE, Triesch J, Hayhoe MM, Droll JA, Sullivan BT. Change blindness during multiple interactions with a single object Journal of Vision. 6: 986-986. DOI: 10.1167/6.6.986  0.54
2010 Rothkopf C, Weisswange T, Triesch J. Computational modeling of multisensory object perception Multisensory Object Perception in the Primate Brain. 21-53. DOI: 10.1007/978-1-4419-5615-6_3  0.748
2009 Lazar A, Pipa G, Triesch J. SORN: a self-organizing recurrent neural network. Frontiers in Computational Neuroscience. 3: 23. PMID 19893759 DOI: 10.3389/Neuro.10.023.2009  0.65
2009 Saeb S, Weber C, Triesch J. Goal-directed learning of features and forward models. Neural Networks : the Official Journal of the International Neural Network Society. 22: 586-92. PMID 19616917 DOI: 10.1016/J.Neunet.2009.06.049  0.764
2009 Savin C, Triesch J, Meyer-Hermann M. Epileptogenesis due to glia-mediated synaptic scaling. Journal of the Royal Society, Interface / the Royal Society. 6: 655-68. PMID 18986963 DOI: 10.1098/Rsif.2008.0387  0.606
2009 Weber C, Triesch J. Implementations and implications of foveated vision Recent Patents On Computer Science. 2: 75-85. DOI: 10.2174/1874479600902010075  0.647
2009 Wibral M, Vicente R, Triesch J, Pipa G. Using transfer entropy to measure the patterns of information flow though cortex: application to MEG recordings from a visual Simon task Bmc Neuroscience. 10: P232. DOI: 10.1186/1471-2202-10-S1-P232  0.613
2009 Weber C, Triesch J. Goal-directed feature learning Proceedings of the International Joint Conference On Neural Networks. 3319-3326. DOI: 10.1109/IJCNN.2009.5179064  0.618
2009 Saeb S, Weber C, Triesch J. A neural model for the adaptive control of saccadic eye movements Proceedings of the International Joint Conference On Neural Networks. 2740-2747. DOI: 10.1109/IJCNN.2009.5178878  0.765
2009 Joshi P, Triesch J. Rules for information maximization in spiking neurons using intrinsic plasticity Proceedings of the International Joint Conference On Neural Networks. 1456-1461. DOI: 10.1109/IJCNN.2009.5178625  0.489
2009 Rothkopf CA, Weisswange TH, Triesch J. Learning independent causes in natural images explains the spacevariant oblique effect 2009 Ieee 8th International Conference On Development and Learning, Icdl 2009. DOI: 10.1109/DEVLRN.2009.5175534  0.748
2009 Weisswange TH, Rothkopf CA, Rodemanny T, Triesch J. Can reinforcement learning explain the development of causal inference in multisensory integration? 2009 Ieee 8th International Conference On Development and Learning, Icdl 2009. DOI: 10.1109/DEVLRN.2009.5175531  0.748
2009 Joshi P, Triesch J. Optimizing generic neural microcircuits through reward modulated STDP Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5768: 239-248. DOI: 10.1007/978-3-642-04274-4_25  0.489
2009 Gerhard F, Savin C, Triesch J. A robust biologically plausible implementation of ICA-like learning Esann 2009 Proceedings, 17th European Symposium On Artificial Neural Networks - Advances in Computational Intelligence and Learning. 147-152.  0.719
2008 Weber C, Triesch J. A sparse generative model of V1 simple cells with intrinsic plasticity. Neural Computation. 20: 1261-84. PMID 18194109 DOI: 10.1162/Neco.2007.02-07-472  0.647
2008 Jasso H, Triesch J, Deák G. A reinforcement learning model of social referencing 2008 Ieee 7th International Conference On Development and Learning, Icdl. 286-291. DOI: 10.1109/DEVLRN.2008.4640844  0.615
2008 Kim H, Jasso H, Deák G, Triesch J. A robotic model of the development of gaze following 2008 Ieee 7th International Conference On Development and Learning, Icdl. 238-243. DOI: 10.1109/DEVLRN.2008.4640836  0.624
2008 Franz A, Triesch J. Modeling the development of causality and occlusion perception in infants 2008 Ieee 7th International Conference On Development and Learning, Icdl. 174-179. DOI: 10.1109/DEVLRN.2008.4640825  0.431
2008 Joshi P, Triesch J. A globally asymptotically stable plasticity rule for firing rate homeostasis Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5164: 567-576. DOI: 10.1007/978-3-540-87559-8_59  0.489
2008 Lazar A, Pipa G, Triesch J. Predictive coding in cortical microcircuits Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5164: 386-395. DOI: 10.1007/978-3-540-87559-8_40  0.65
2008 Weber C, Triesch J. From exploration to planning Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5163: 740-749. DOI: 10.1007/978-3-540-87536-9_76  0.618
2008 Willadsen K, Triesch J, Wiles J. Understanding robustness in random boolean networks Artificial Life Xi: Proceedings of the 11th International Conference On the Simulation and Synthesis of Living Systems, Alife 2008. 694-701.  0.763
2007 Lazar A, Pipa G, Triesch J. Fading memory and time series prediction in recurrent networks with different forms of plasticity. Neural Networks : the Official Journal of the International Neural Network Society. 20: 312-22. PMID 17556114 DOI: 10.1016/J.Neunet.2007.04.020  0.674
2007 Triesch J, Jasso H, Deák GO. Emergence of mirror neurons in a model of gaze following Adaptive Behavior. 15: 149-165. DOI: 10.1177/1059712307078654  0.634
2006 Eckes C, Triesch J, von der Malsburg C. Analysis of cluttered scenes using an elastic matching approach for stereo images. Neural Computation. 18: 1441-71. PMID 16764510 DOI: 10.1162/neco.2006.18.6.1441  0.559
2006 Triesch J, Teuscher C, Deák GO, Carlson E. Gaze following: why (not) learn it? Developmental Science. 9: 125-47. PMID 16472311 DOI: 10.1111/J.1467-7687.2006.00470.X  0.637
2006 Triesch J, Teuscher C, Deák GO. Response: Gaze following: How (not) to derive predictions from a computational model Developmental Science. 9: 156-157. DOI: 10.1111/J.1467-7687.2006.00474.X  0.639
2005 Droll JA, Hayhoe MM, Triesch J, Sullivan BT. Task demands control acquisition and storage of visual information. Journal of Experimental Psychology. Human Perception and Performance. 31: 1416-38. PMID 16366799 DOI: 10.1037/0096-1523.31.6.1416  0.502
2004 Droll J, Hayhoe MM, Triesch J, Sullivan BT. Working memory for object features is influenced by scene context Journal of Vision. 4: 152-152. DOI: 10.1167/4.8.152  0.483
2003 Triesch J, Ballard DH, Hayhoe MM, Sullivan BT. What you see is what you need. Journal of Vision. 3: 86-94. PMID 12678628 DOI: 10:1167/3.1.9  0.711
2003 Droll JA, Hayhoe MM, Triesch J, Sullivan BT. Task relevance of object features modulates the content of visual working memory Journal of Vision. 3: 28a. DOI: 10.1167/3.9.28  0.493
2002 Triesch J, Ballard DH, Jacobs RA. Fast temporal dynamics of visual cue integration. Perception. 31: 421-34. PMID 12018788 DOI: 10.1167/1.3.463  0.635
2002 Triesch J, Sullivan BT, Hayhoe MM, Ballard DH. Transient visual representations: A change blindness approach Journal of Vision. 2: 244a. DOI: 10.1167/2.7.244  0.707
2002 Triesch J, Von der Malsburg C. Classification of hand postures against complex backgrounds using elastic graph matching Image and Vision Computing. 20: 937-943. DOI: 10.1016/S0262-8856(02)00100-2  0.533
2002 Hayhoe MM, Ballard DH, Triesch J, Shinoda H, Aivar P, Sullivan B. Vision in natural and virtual environments Eye Tracking Research and Applications Symposium (Etra). 7-13.  0.711
2002 Triesch J, Sullivan BT, Hayhoe MM, Ballard DH. Saccade contingent updating in virtual reality Eye Tracking Research and Applications Symposium (Etra). 95-102.  0.704
2001 Triesch J, von der Malsburg C. Democratic integration: self-organized integration of adaptive cues. Neural Computation. 13: 2049-74. PMID 11516357 DOI: 10.1162/089976601750399308  0.545
2001 Triesch J, Von Der Malsburg C. A system for person-independent hand posture recognition against complex backgrounds Ieee Transactions On Pattern Analysis and Machine Intelligence. 23: 1449-1453. DOI: 10.1109/34.977568  0.538
2000 Triesch J, Von Der Malsburg C. Self-organized integration of adaptive visual cues for face tracking Proceedings - 4th Ieee International Conference On Automatic Face and Gesture Recognition, Fg 2000. 102-107. DOI: 10.1109/AFGR.2000.840619  0.545
1999 Becker M, Kefalea E, Maël E, Von Der Malsburg C, Pagel M, Triesch J, Vorbrüggen JC, Würtz RP, Zadel S. GripSee: a gesture-controlled robot for object perception and manipulation Autonomous Robots. 6: 203-221. DOI: 10.1023/A:1008839628783  0.714
1999 Triesch J, Wieghardt J, Maël E, Von Der Malsburg C. Towards imitation learning of grasping movements by an autonomous robot Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1739: 73-84. DOI: 10.1007/3-540-46616-9_7  0.555
1998 Triesch J, Von Der Malsburg C. A gesture interface for human-robot-interaction Proceedings - 3rd Ieee International Conference On Automatic Face and Gesture Recognition, Fg 1998. 546-551. DOI: 10.1109/AFGR.1998.671005  0.542
1998 Triesch J, von der Malsburg C. Robotic gesture recognition Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1371: 233-244. DOI: 10.1007/BFb0053003  0.551
1996 Triesch J, Von Der Malsburg C. Binding- A proposed experiment and a model Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1112: 685-690. DOI: 10.1007/3-540-61510-5_116  0.534
1996 Triesch J, von der Malsburg C. Robust classification of hand postures against complex backgrounds Proceedings of the International Conference On Automatic Face and Gesture Recognition. 170-175.  0.535
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