Jochen Triesch

176 papers A* 4A 1B 18C 2Misc 2Journal 81Unranked 64

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Predictive coding with spiking neural networks: A survey. Neural Networks Antony W. N'Dri, William Gebhardt, Céline Teulière, Fleur Zeldenrust, Rajesh P. N. Rao, Jochen Triesch, Alexander Ororbia
2026	J	`jnl`	Seeing the whole in the parts with self-supervised representation learning. Neurocomputing Arthur Aubret, Céline Teulière, Jochen Triesch
2026	J	`jnl`	Temporal Slowness in Central Vision Drives Semantic Object Learning. CoRR Timothy Schaumlöffel, Arthur Aubret, Gemma Roig, Jochen Triesch
2025	J	`jnl`	An Extensible Open Source Software Designed for Virtual Reality-Based Testing and Treatment of Vision Disorders. ACM Trans. Appl. Percept. Johann Schneider, Yu Yi Yang, Maria Fronius, Juliane Tittes, Jochen Triesch
2025	—	`conf`	Canalizing Babbling: Development-Inspired Goal Sampling for Visuo-Motor Learning. ICDL Marco G. Fedozzi, Francesco Rea, Giulio Sandini, Jochen Triesch, Alessandra Sciutti
2025	J	`jnl`	From Kicking to Causality: Simulating Infant Agency Detection with a Robust Intrinsic Reward. CoRR Xia Xu, Jochen Triesch
2025	J	`jnl`	Hierarchical Residuals Exploit Brain-Inspired Compositionality. CoRR Francisco M. López, Jochen Triesch
2025	J	`jnl`	Human Gaze Boosts Object-Centered Representation Learning. CoRR Timothy Schaumlöffel, Arthur Aubret, Gemma Roig, Jochen Triesch
2025	—	`conf`	MIMo grows! Simulating body and sensory development in a multimodal infant model. ICDL Francisco M. López, Miles Lenz, Marco G. Fedozzi, Arthur Aubret, Jochen Triesch
2025	J	`jnl`	MIMo grows! Simulating body and sensory development in a multimodal infant model. CoRR Francisco M. López, Miles Lenz, Marco G. Fedozzi, Arthur Aubret, Jochen Triesch
2025	J	`jnl`	Re-assessing the evidence for mental rotation abilities in children using computational models. CoRR Arthur Aubret, Jochen Triesch
2025	J	`jnl`	Seeing the Whole in the Parts in Self-Supervised Representation Learning. CoRR Arthur Aubret, Céline Teulière, Jochen Triesch
2025	—	`conf`	Simulated Cortical Magnification Supports Self-Supervised Object Learning. ICDL Zhengyang Yu, Arthur Aubret, Chen Yu, Jochen Triesch
2025	J	`jnl`	Simulated Cortical Magnification Supports Self-Supervised Object Learning. CoRR Zhengyang Yu, Arthur Aubret, Chen Yu, Jochen Triesch
2025	J	`jnl`	Stabilizing sequence learning in stochastic spiking networks with GABA-Modulated STDP. Neural Networks Marius N. Vieth, Jochen Triesch
2025	—	`conf`	SynapFlow: A Modular Framework Towards Large-Scale Analysis of Dendritic Spines. ICCVW Pamela Osuna-Vargas, Altug Kamacioglu, Dominik F. Aschauer, Petros E. Vlachos, Sercan Alipek, Jochen Triesch, Simon Rumpel, Matthias Kaschube
2025	J	`jnl`	SynapFlow: A Modular Framework Towards Large-Scale Analysis of Dendritic Spines. CoRR Pamela Osuna-Vargas, Altug Kamacioglu, Dominik F. Aschauer, Petros E. Vlachos, Sercan Alipek, Jochen Triesch, Simon Rumpel, Matthias Kaschube
2024	J	`jnl`	A spiking neural network for active efficient coding. Frontiers Robotics AI Thomas Barbier, Céline Teulière, Jochen Triesch
2024	J	`jnl`	Accelerating spiking neural network simulations with PymoNNto and PymoNNtorch. Frontiers Neuroinformatics Marius N. Vieth, Ali Rahimi, Ashena Gorgan Mohammadi, Jochen Triesch, Mohammad Ganjtabesh
2024	J	`jnl`	Active Gaze Behavior Boosts Self-Supervised Object Learning. CoRR Zhengyang Yu, Arthur Aubret, Marcel C. Raabe, Jane Yang, Chen Yu, Jochen Triesch
2024	—	`conf`	Learning Object Semantic Similarity with Self-Supervision. ICDL Arthur Aubret, Timothy Schaumlöffel, Gemma Roig, Jochen Triesch
2024	J	`jnl`	Learning Object Semantic Similarity with Self-Supervision. CoRR Arthur Aubret, Timothy Schaumlöffel, Gemma Roig, Jochen Triesch
2024	J	`jnl`	MIMo: A Multimodal Infant Model for Studying Cognitive Development. IEEE Trans. Cogn. Dev. Syst. Dominik Mattern, Pierre Schumacher, Francisco M. López, Marcel C. Raabe, Markus Roland Ernst, Arthur Aubret, Jochen Triesch
2024	—	`conf`	Self-Calibrating Saccade-Vergence Interactions. ICDL Francisco M. López, Marcel C. Raabe, Bertram E. Shi, Jochen Triesch
2024	—	`conf`	Self-Supervised Learning of Color Constancy. ICDL Markus Roland Ernst, Francisco M. López, Arthur Aubret, Roland W. Fleming, Jochen Triesch
2024	J	`jnl`	Self-Supervised Learning of Color Constancy. CoRR Markus Roland Ernst, Francisco M. López, Arthur Aubret, Roland W. Fleming, Jochen Triesch
2024	—	`conf`	Self-supervised Visual Learning from Interactions with Objects. ECCV (75) Arthur Aubret, Céline Teulière, Jochen Triesch
2024	J	`jnl`	Self-supervised visual learning from interactions with objects. CoRR Arthur Aubret, Céline Teulière, Jochen Triesch
2023	—	`conf`	Advancing Brain Tumor Detection with Multiple Instance Learning on Magnetic Resonance Spectroscopy Data. ICANN (4) Diyuan Lu, Gerhard Kurz, Nenad Polomac, Iskra Gacheva, Elke Hattingen, Jochen Triesch
2023	J	`jnl`	Biological complexity facilitates tuning of the neuronal parameter space. PLoS Comput. Biol. Marius Schneider, Alexander D. Bird, Albert Gidon, Jochen Triesch, Peter Jedlicka, Hermann Cuntz
2023	—	`conf`	CIPER: Combining Invariant and Equivariant Representations Using Contrastive and Predictive Learning. ICANN (3) Xia Xu, Jochen Triesch
2023	J	`jnl`	CIPER: Combining Invariant and Equivariant Representations Using Contrastive and Predictive Learning. CoRR Xia Xu, Jochen Triesch
2023	B	`conf`	CRE: Circle relationship embedding of patches in vision transformer. ESANN Zhengyang Yu, Jochen Triesch
2023	—	`conf`	Caregiver Talk Shapes Toddler Vision: A Computational Study of Dyadic Play. ICDL Timothy Schaumlöffel, Arthur Aubret, Gemma Roig, Jochen Triesch
2023	J	`jnl`	Caregiver Talk Shapes Toddler Vision: A Computational Study of Dyadic Play. CoRR Timothy Schaumlöffel, Arthur Aubret, Gemma Roig, Jochen Triesch
2023	—	`conf`	Eye-Hand Coordination Develops from Active Multimodal Compression. ICDL Francisco M. López, Bertram E. Shi, Jochen Triesch
2023	J	`jnl`	Guest Editorial Special Issue on Intrinsically Motivated Open-Ended Learning (IMOL). IEEE Trans. Cogn. Dev. Syst. Kathryn Kasmarik, Gianluca Baldassarre, Vieri Giuliano Santucci, Jochen Triesch
2023	J	`jnl`	Learning Abstract Representations Through Lossy Compression of Multimodal Signals. IEEE Trans. Cogn. Dev. Syst. Charles Wilmot, Gianluca Baldassarre, Jochen Triesch
2023	J	`jnl`	MIMo: A Multi-Modal Infant Model for Studying Cognitive Development. CoRR Dominik Mattern, Pierre Schumacher, Francisco M. López, Marcel C. Raabe, Markus Roland Ernst, Arthur Aubret, Jochen Triesch
2023	—	`conf`	Predictive Coding Light: learning compact visual codes by combining excitatory and inhibitory spike timing-dependent plasticity CVPR Workshops Antony W. N'Dri, Thomas Barbier, Céline Teulière, Jochen Triesch
2023	J	`jnl`	REAL-X - Robot Open-Ended Autonomous Learning Architecture: Building Truly End-to-End Sensorimotor Autonomous Learning Systems. IEEE Trans. Cogn. Dev. Syst. Emilio Cartoni, Davide Montella, Jochen Triesch, Gianluca Baldassarre
2023	—	`conf`	Saccade Amplitude Statistics are Explained by Cortical Magnification. ICDL Marcel C. Raabe, Francisco M. López, Zhengyang Yu, Spencer Caplan, Chen Yu, Bertram E. Shi, Jochen Triesch
2023	A*	`conf`	Time to augment self-supervised visual representation learning. ICLR Arthur Aubret, Markus Roland Ernst, Céline Teulière, Jochen Triesch
2022	—	`conf`	Diagnosing Epileptogenesis with Deep Anomaly Detection. MLHC Amr Farahat, Diyuan Lu, Sebastian Bauer, Valentin Neubert, Lara Sophie Costard, Felix Rosenow, Jochen Triesch
2022	J	`jnl`	Embodied vision for learning object representations. CoRR Arthur Aubret, Céline Teulière, Jochen Triesch
2022	J	`jnl`	Learning torsional eye movements through active efficient coding. Neuromorph. Comput. Eng. Qingpeng Zhu, Chong Zhang, Jochen Triesch, Bertram E. Shi
2022	—	`conf`	MIMo: A Multi-Modal Infant Model for Studying Cognitive Development in Humans and AIs. ICDL Dominik Mattern, Francisco M. López, Markus Roland Ernst, Arthur Aubret, Jochen Triesch
2022	J	`jnl`	Sequence and Circle: Exploring the Relationship Between Patches. CoRR Zhengyang Yu, Jochen Triesch
2022	J	`jnl`	Time to augment contrastive learning. CoRR Arthur Aubret, Markus Roland Ernst, Céline Teulière, Jochen Triesch
2022	—	`conf`	Toddler-inspired embodied vision for learning object representations. ICDL Arthur Aubret, Céline Teulière, Jochen Triesch
2021	—	`conf`	A Computational Model of the Effect of Short-Term Monocular Deprivation on Binocular Rivalry in the Context of Amblyopia. ICANN (1) Norman Seeliger, Jochen Triesch
2021	J	`jnl`	Active head rolls enhance sonar-based auditory localization performance. PLoS Comput. Biol. Lakshitha P. Wijesinghe, Melville Wohlgemuth, Richard Hau Yue So, Jochen Triesch, Cynthia F. Moss, Bertram E. Shi
2021	J	`jnl`	EEG microstate periodicity explained by rotating phase patterns of resting-state alpha oscillations. NeuroImage Frederic von Wegner, Sebastian Bauer, Felix Rosenow, Jochen Triesch, Helmut Laufs
2021	Misc	`conf`	Human-Expert-Level Brain Tumor Detection Using Deep Learning with Data Distillation And Augmentation. ICASSP Diyuan Lu, Nenad Polomac, Iskra Gacheva, Elke Hattingen, Jochen Triesch
2021	J	`jnl`	Learning Abstract Representations through Lossy Compression of Multi-Modal Signals. CoRR Charles Wilmot, Jochen Triesch
2021	J	`jnl`	Learning Hierarchical Integration of Foveal and Peripheral Vision for Vergence Control by Active Efficient Coding. CoRR Zhetuo Zhao, Jochen Triesch, Bertram E. Shi
2021	J	`jnl`	Multiple Instance Learning for Brain Tumor Detection from Magnetic Resonance Spectroscopy Data. CoRR Diyuan Lu, Gerhard Kurz, Nenad Polomac, Iskra Gacheva, Elke Hattingen, Jochen Triesch
2021	J	`jnl`	PymoNNto: A Flexible Modular Toolbox for Designing Brain-Inspired Neural Networks. Frontiers Neuroinformatics Marius N. Vieth, Tristan M. Stöber, Jochen Triesch
2021	J	`jnl`	Recurrent Feedback Improves Recognition of Partially Occluded Objects. CoRR Markus Roland Ernst, Jochen Triesch, Thomas Burwick
2021	J	`jnl`	Self-Calibrating Active Binocular Vision via Active Efficient Coding with Deep Autoencoders. CoRR Charles Wilmot, Bertram E. Shi, Jochen Triesch
2021	—	`conf`	Spike Timing-Based Unsupervised Learning of Orientation, Disparity, and Motion Representations in a Spiking Neural Network. CVPR Workshops Thomas Barbier, Céline Teulière, Jochen Triesch
2020	J	`jnl`	An Event-by-Event Approach for Velocity Estimation and Object Tracking With an Active Event Camera. IEEE J. Emerg. Sel. Topics Circuits Syst. Qingpeng Zhu, Jochen Triesch, Bertram E. Shi
2020	J	`jnl`	An open-ended learning architecture to face the REAL 2020 simulated robot competition. CoRR Emilio Cartoni, Davide Montella, Jochen Triesch, Gianluca Baldassarre
2020	J	`jnl`	Human-Expert-Level Brain Tumor Detection Using Deep Learning with Data Distillation and Augmentation. CoRR Diyuan Lu, Nenad Polomac, Iskra Gacheva, Elke Hattingen, Jochen Triesch
2020	—	`conf`	Integration of Vergence, Cyclovergence, and Saccades through Active Efficient Coding. ICDL-EPIROB Qingpeng Zhu, Jochen Triesch, Bertram E. Shi
2020	B	`conf`	Recurrent Feedback Improves Recognition of Partially Occluded Objects. ESANN Markus Roland Ernst, Jochen Triesch, Thomas Burwick
2020	—	`conf`	Retinal Slip Estimation and Object Tracking with an Active Event Camera. AICAS Qingpeng Zhu, Jochen Triesch, Bertram E. Shi
2020	—	`conf`	Self-Calibrating Active Binocular Vision via Active Efficient Coding with Deep Autoencoders. ICDL-EPIROB Charles Wilmot, Bertram E. Shi, Jochen Triesch
2020	—	`conf`	Staging Epileptogenesis with Deep Neural Networks. BCB Diyuan Lu, Sebastian Bauer, Valentin Neubert, Lara Sophie Costard, Felix Rosenow, Jochen Triesch
2020	J	`jnl`	Staging Epileptogenesis with Deep Neural Networks. CoRR Diyuan Lu, Sebastian Bauer, Valentin Neubert, Lara Sophie Costard, Felix Rosenow, Jochen Triesch
2020	—	`conf`	Towards Early Diagnosis of Epilepsy from EEG Data. MLHC Diyuan Lu, Sebastian Bauer, Valentin Neubert, Lara Sophie Costard, Felix Rosenow, Jochen Triesch
2020	J	`jnl`	Towards Early Diagnosis of Epilepsy from EEG Data. CoRR Diyuan Lu, Sebastian Bauer, Valentin Neubert, Lara Sophie Costard, Felix Rosenow, Jochen Triesch
2020	—	`conf`	Unsupervised Learning of Spatio-Temporal Receptive Fields from an Event-Based Vision Sensor. ICANN (2) Thomas Barbier, Céline Teulière, Jochen Triesch
2019	—	`conf`	A Deep Residual Neural Network Based Framework for Epileptogenesis Detection in a Rodent Model with Single-Channel EEG Recordings. CISP-BMEI Diyuan Lu, Sebastian Bauer, Valentin Neubert, Lara Sophie Costard, Felix Rosenow, Jochen Triesch
2019	J	`jnl`	Autonomous Development of Active Binocular and Motion Vision Through Active Efficient Coding. Frontiers Neurorobotics Alexander Lelais, Jonas Mahn, Vikram Narayan, Chong Zhang, Bertram E. Shi, Jochen Triesch
2019	—	`conf`	REAL-2019: Robot open-Ended Autonomous Learning competition. NeurIPS (Competition and Demos) Emilio Cartoni, Francesco Mannella, Vieri Giuliano Santucci, Jochen Triesch, Elmar Rueckert, Gianluca Baldassarre
2019	—	`conf`	Recurrent Connections Aid Occluded Object Recognition by Discounting Occluders. ICANN (3) Markus Roland Ernst, Jochen Triesch, Thomas Burwick
2019	J	`jnl`	Recurrent Connections Aid Occluded Object Recognition by Discounting Occluders. CoRR Markus Roland Ernst, Jochen Triesch, Thomas Burwick
2019	J	`jnl`	Recurrent Connectivity Aids Recognition of Partly Occluded Objects. CoRR Markus Roland Ernst, Jochen Triesch, Thomas Burwick
2019	J	`jnl`	Residual Deep Convolutional Neural Network for EEG Signal Classification in Epilepsy. CoRR Diyuan Lu, Jochen Triesch
2019	—	`conf`	Within Reach? Learning to touch objects without prior models. ICDL-EPIROB François De La Bourdonnaye, Céline Teulière, Thierry Chateau, Jochen Triesch
2018	—	`conf`	An Active Efficient Coding Model of Binocular Vision Development Under Normal and Abnormal Rearing Conditions. SAB Lukas Klimmasch, Johann Schneider, Alexander Lelais, Bertram E. Shi, Jochen Triesch
2018	—	`conf`	Autonomous learning of cyclovergence control based on Active Efficient Coding. ICDL-EPIROB Qingpeng Zhu, Chong Zhang, Jochen Triesch, Bertram E. Shi
2018	J	`jnl`	Bridging structure and function: A model of sequence learning and prediction in primary visual cortex. PLoS Comput. Biol. Christian Klos, Daniel Miner, Jochen Triesch
2018	—	`ed.`	From Animals to Animats 15 - 15th International Conference on Simulation of Adaptive Behavior, SAB 2018, Frankfurt/Main, Germany, August 14-17, 2018, Proceedings SAB Poramate Manoonpong, Jørgen Christian Larsen, Xiaofeng Xiong, John Hallam, Jochen Triesch
2018	—	`conf`	Learning Hierarchical Integration of Foveal and Peripheral Vision for Vergence Control by Active Efficient Coding. SAB Zhetuo Zhao, Jochen Triesch, Bertram E. Shi
2018	A	`conf`	Learning to Touch Objects Through Stage-Wise Deep Reinforcement Learning. IROS François De La Bourdonnaye, Céline Teulière, Jochen Triesch, Thierry Chateau
2018	J	`jnl`	Robot End Effector Tracking Using Predictive Multisensory Integration. Frontiers Neurorobotics Lakshitha P. Wijesinghe, Jochen Triesch, Bertram E. Shi
2018	J	`jnl`	Stage-Wise Learning of Reaching Using Little Prior Knowledge. Frontiers Robotics AI François De La Bourdonnaye, Céline Teulière, Jochen Triesch, Thierry Chateau
2017	J	`jnl`	A model of human motor sequence learning explains facilitation and interference effects based on spike-timing dependent plasticity. PLoS Comput. Biol. Quan Wang, Constantin A. Rothkopf, Jochen Triesch
2017	—	`conf`	Autonomous, self-calibrating binocular vision based on learned attention and active efficient coding. ICDL-EPIROB Qingpeng Zhu, Jochen Triesch, Bertram E. Shi
2017	J	`jnl`	Joint Learning of Binocularly Driven Saccades and Vergence by Active Efficient Coding. Frontiers Neurorobotics Qingpeng Zhu, Jochen Triesch, Bertram E. Shi
2017	A*	`conf`	Learning multisensory cue integration on mobile robots. ICRA Chong Zhang, Jochen Triesch, Bertram E. Shi
2017	B	`conf`	Learning multisensory neural controllers for robot arm tracking. IJCNN Lakshitha P. Wijesinghe, Marco Antonelli, Jochen Triesch, Bertram E. Shi
2017	—	`conf`	Learning of active binocular vision in a biomechanical model of the oculomotor system. ICDL-EPIROB Lukas Klimmasch, Alexander Lelais, Alexander Lichtenstein, Bertram E. Shi, Jochen Triesch
2017	B	`conf`	Learning of binocular fixations using anomaly detection with deep reinforcement learning. IJCNN François De La Bourdonnaye, Céline Teulière, Thierry Chateau, Jochen Triesch
2016	J	`jnl`	An active efficient coding model of the optokinetic nystagmus. CoRR Chong Zhang, Jochen Triesch, Bertram E. Shi
2016	—	`conf`	Global and local statistical regularities control visual attention to object sequences. ICDL-EPIROB Alexa R. Romberg, Yayun Zhang, Benjamin Newman, Jochen Triesch, Chen Yu
2016	—	`conf`	Look and learn: A model of gaze-contingent learning. ICDL-EPIROB Max Murakami, Jantina Bolhuis, Thorsten Kolling, Monika Knopf, Jochen Triesch
2016	J	`jnl`	Plasticity-Driven Self-Organization under Topological Constraints Accounts for Non-random Features of Cortical Synaptic Wiring. PLoS Comput. Biol. Daniel Miner, Jochen Triesch
2016	—	`conf`	Self-calibrating active depth perception via motion parallax. ICDL-EPIROB Tanapol Prucksakorn, Sungmoon Jeong, Jochen Triesch, Hosun Lee, Nak Young Chong
2015	—	`conf`	Active maintenance of binocular correspondence leads to orientation alignment of visual receptive fields. ICDL-EPIROB Thusitha N. Chandrapala, Bertram E. Shi, Jochen Triesch
2015	B	`conf`	On the utility of sparse neural representations in adaptive behaving agents. IJCNN Thusitha N. Chandrapala, Bertram E. Shi, Jochen Triesch
2015	B	`conf`	Real-time activity recognition via deep learning of motion features. ESANN Kishore Konda, Pramod Chandrashekhariah, Roland Memisevic, Jochen Triesch
2015	—	`conf`	Seeing [u] aids vocal learning: Babbling and imitation of vowels using a 3D vocal tract model, reinforcement learning, and reservoir computing. ICDL-EPIROB Max Murakami, Bernd J. Kröger, Peter Birkholz, Jochen Triesch
2015	J	`jnl`	Self-calibrating smooth pursuit through active efficient coding. Robotics Auton. Syst. Céline Teulière, Sébastien Forestier, Luca Lonini, Chong Zhang, Yu Zhao, Bertram E. Shi, Jochen Triesch
2015	—	`conf`	The role of contrast sensitivity in the development of binocular vision: A computational study. ICDL-EPIROB Alexander Priamikov, Vikram Narayan, Bertram E. Shi, Jochen Triesch
2015	J	`jnl`	Where's the Noise? Key Features of Spontaneous Activity and Neural Variability Arise through Learning in a Deterministic Network. PLoS Comput. Biol. Christoph Hartmann, Andreea Lazar, Bernhard Nessler, Jochen Triesch
2014	—	`conf`	Autonomous learning of smooth pursuit and vergence through active efficient coding. ICDL-EPIROB T. N. Vikram, Céline Teulière, Chong Zhang, Bertram E. Shi, Jochen Triesch
2014	—	`ch.`	Cortical Function, Normative Models of. Encyclopedia of Computational Neuroscience Jochen Triesch
2014	J	`jnl`	Emergence of task-dependent representations in working memory circuits. Frontiers Comput. Neurosci. Cristina Savin, Jochen Triesch
2014	—	`conf`	Hide and Seek - An Active Binocular Object Tracking System. VISAPP (3) Pramod Chandrashekhariah, Jochen Triesch
2014	J	`jnl`	Intrinsically Motivated Learning of Visual Motion Perception and Smooth Pursuit. CoRR Chong Zhang, Yu Zhao, Jochen Triesch, Bertram E. Shi
2014	A*	`conf`	Intrinsically motivated learning of visual motion perception and smooth pursuit. ICRA Chong Zhang, Yu Zhao, Jochen Triesch, Bertram E. Shi
2014	—	`conf`	OpenEyeSim - A platform for biomechanical modeling of oculomotor control. ICDL-EPIROB Alexander Priamikov, Jochen Triesch
2014	J	`jnl`	Robust development of synfire chains from multiple plasticity mechanisms. Frontiers Comput. Neurosci. Pengsheng Zheng, Jochen Triesch
2013	—	`conf`	A Curious Vision System for Autonomous and Cumulative Object Learning. VISIGRAPP (Selected Papers) Pramod Chandrashekhariah, Gabriele Spina, Jochen Triesch
2013	—	`conf`	Autonomous learning of active multi-scale binocular vision. ICDL-EPIROB Luca Lonini, Yu Zhao, Pramod Chandrashekhariah, Bertram E. Shi, Jochen Triesch
2013	—	`ch.`	Generalization and Interference in Human Motor Control. Computational and Robotic Models of the Hierarchical Organization of Behavior Luca Lonini, Christos Dimitrakakis, Constantin A. Rothkopf, Jochen Triesch
2013	—	`conf`	Let it Learn - A Curious Vision System for Autonomous Object Learning. VISAPP (2) Pramod Chandrashekhariah, Gabriele Spina, Jochen Triesch
2013	J	`jnl`	Network Self-Organization Explains the Statistics and Dynamics of Synaptic Connection Strengths in Cortex. PLoS Comput. Biol. Pengsheng Zheng, Christos Dimitrakakis, Jochen Triesch
2013	J	`jnl`	Robust active binocular vision through intrinsically motivated learning. Frontiers Neurorobotics Luca Lonini, Sébastien Forestier, Céline Teulière, Yu Zhao, Bertram E. Shi, Jochen Triesch
2012	J	`jnl`	A Unified Account of Gaze Following. IEEE Trans. Auton. Ment. Dev. Hector Jasso, Jochen Triesch, Gedeon O. Deák, Joshua M. Lewis
2012	—	`conf`	A bio-inspired attention model of anticipation in gaze-contingency experiments with infants. ICDL-EPIROB Rodolfo Marraffa, Valerio Sperati, Daniele Caligiore, Jochen Triesch, Gianluca Baldassarre
2012	—	`conf`	A unified model of the joint development of disparity selectivity and vergence control. ICDL-EPIROB Yu Zhao, Constantin A. Rothkopf, Jochen Triesch, Bertram E. Shi
2012	—	`conf`	Autonomous learning of robust visual object detection and identification on a humanoid. ICDL-EPIROB Jürgen Leitner, Pramod Chandrashekhariah, Simon Harding, Mikhail Frank, Gabriele Spina, Alexander Förster, Jochen Triesch, Jürgen Schmidhuber
2011	—	`conf`	Emerging Bayesian Priors in a Self-Organizing Recurrent Network. ICANN (2) Andreea Lazar, Gordon Pipa, Jochen Triesch
2011	J	`jnl`	From Infant Brains to Robots: A Report From the IEEE International Conference on Development and Learning (ICDL)-International Conference on Epigenetic Robotics (EpiRob) 2011 Conference. IEEE Trans. Auton. Ment. Dev. Angelo Cangelosi, Jochen Triesch
2011	J	`jnl`	Learning the Optimal Control of Coordinated Eye and Head Movements. PLoS Comput. Biol. Sohrab Saeb, Cornelius Weber, Jochen Triesch
2011	—	`conf`	Scalable reinforcement learning through hierarchical decompositions for weakly-coupled problems. ICDL-EPIROB Hazem Toutounji, Constantin A. Rothkopf, Jochen Triesch
2010	J	`jnl`	Independent Component Analysis in Spiking Neurons. PLoS Comput. Biol. Cristina Savin, Prashant Joshi, Jochen Triesch
2009	B	`conf`	A neural model for the adaptive control of saccadic eye movements. IJCNN Sohrab Saeb, Cornelius Weber, Jochen Triesch
2009	B	`conf`	A robust biologically plausible implementation of ICA-like learning. ESANN Felipe Gerhard, Cristina Savin, Jochen Triesch
2009	B	`conf`	Goal-directed feature learning. IJCNN Cornelius Weber, Jochen Triesch
2009	J	`jnl`	Goal-directed learning of features and forward models. Neural Networks Sohrab Saeb, Cornelius Weber, Jochen Triesch
2009	—	`conf`	Optimizing Generic Neural Microcircuits through Reward Modulated STDP. ICANN (1) Prashant Joshi, Jochen Triesch
2009	J	`jnl`	Report on the IEEE 8th International Conference on Development and Learning (ICDL-2009). IEEE Trans. Auton. Ment. Dev. Jochen Triesch, Zhengyou Zhang
2009	B	`conf`	Rules for information maximization in spiking neurons using intrinsic plasticity. IJCNN Prashant Joshi, Jochen Triesch
2009	J	`jnl`	SORN: a self-organizing recurrent neural network. Frontiers Comput. Neurosci. Andreea Lazar, Gordon Pipa, Jochen Triesch
2008	—	`conf`	A Globally Asymptotically Stable Plasticity Rule for Firing Rate Homeostasis. ICANN (2) Prashant Joshi, Jochen Triesch
2008	J	`jnl`	A Sparse Generative Model of V1 Simple Cells with Intrinsic Plasticity. Neural Comput. Cornelius Weber, Jochen Triesch
2008	—	`conf`	From Exploration to Planning. ICANN (1) Cornelius Weber, Jochen Triesch
2008	—	`conf`	Predictive Coding in Cortical Microcircuits. ICANN (2) Andreea Lazar, Gordon Pipa, Jochen Triesch
2008	C	`conf`	Understanding robustness in Random Boolean Networks. ALIFE Kai Willadsen, Jochen Triesch, Janet Wiles
2007	J	`jnl`	Emergence of Mirror Neurons in a Model of Gaze Following. Adapt. Behav. Jochen Triesch, Hector Jasso, Gedeon O. Deák
2007	J	`jnl`	Fading memory and time series prediction in recurrent networks with different forms of plasticity. Neural Networks Andreea Lazar, Gordon Pipa, Jochen Triesch
2007	J	`jnl`	Learning sensory representations with intrinsic plasticity. Neurocomputing Nicholas Butko, Jochen Triesch
2007	—	`conf`	Learning to Attend - From Bottom-Up to Top-Down. WAPCV Hector Jasso, Jochen Triesch
2007	J	`jnl`	Synergies Between Intrinsic and Synaptic Plasticity Mechanisms. Neural Comput. Jochen Triesch
2007	J	`jnl`	To each his own: The caregiver's role in a computational model of gaze following. Neurocomputing Christof Teuscher, Jochen Triesch
2006	J	`jnl`	Analysis of Cluttered Scenes Using an Elastic Matching Approach for Stereo Images. Neural Comput. Christian Eckes, Jochen Triesch, Christoph von der Malsburg
2006	B	`conf`	Exploring the role of intrinsic plasticity for the learning of sensory representations. ESANN Nicholas Butko, Jochen Triesch
2006	J	`jnl`	Modeling the emergence of gaze following. Künstliche Intell. Jochen Triesch
2006	—	`conf`	Semi-autonomous Learning of Objects. CVPR Workshops Hyundo Kim, Erik Murphy-Chutorian, Jochen Triesch
2006	B	`conf`	The combination of STDP and intrinsic plasticity yields complex dynamics in recurrent spiking networks. ESANN Andreea Lazar, Gordon Pipa, Jochen Triesch
2005	—	`conf`	A Gradient Rule for the Plasticity of a Neuron's Intrinsic Excitability. ICANN (1) Jochen Triesch
2005	—	`conf`	A Virtual Reality Platform for Modeling Cognitive Development. Biomimetic Neural Learning for Intelligent Robots Hector Jasso, Jochen Triesch
2005	—	`conf`	Shared Features for Scalable Appearance-Based Object Recognition. WACV/MOTION Erik Murphy-Chutorian, Jochen Triesch
2005	Misc	`conf`	Toward a Unified Probabilistic Framework for Object Recognition and Segmentation. ISVC Huei-Ju Chen, Kuang-Chih Lee, Erik Murphy-Chutorian, Jochen Triesch
2004	A*	`conf`	Design of an Anthropomorphic Robot Head for Studying Autonomous Development and Learning. ICRA Hyundo Kim, George York, Greg Burton, Erik Murphy-Chutorian, Jochen Triesch
2004	—	`conf`	Synergies between Intrinsic and Synaptic Plasticity in Individual Model Neurons. NIPS Jochen Triesch
2003	B	`conf`	Investigating the emergence of shared attention through an embodied computational modeling approach: a progress report. IJCNN Jochen Triesch, Eric Carlson, Gedeon O. Deák, Javier Movellan
2002	J	`jnl`	Classification of hand postures against complex backgrounds using elastic graph matching. Image Vis. Comput. Jochen Triesch, Christoph von der Malsburg
2002	B	`conf`	Saccade contingent updating in virtual reality. ETRA Jochen Triesch, Brian T. Sullivan, Mary M. Hayhoe, Dana H. Ballard
2002	B	`conf`	Vision in natural and virtual environments. ETRA Mary M. Hayhoe, Dana H. Ballard, Jochen Triesch, Hiroyuki Shinoda, Pilar Aivar, Brian T. Sullivan
2001	J	`jnl`	A System for Person-Independent Hand Posture Recognition against Complex Backgrounds. IEEE Trans. Pattern Anal. Mach. Intell. Jochen Triesch, Christoph von der Malsburg
2001	J	`jnl`	Democratic Integration: Self-Organized Integration of Adaptive Cues. Neural Comput. Jochen Triesch, Christoph von der Malsburg
2000	B	`conf`	Self-Organized Integration of Adaptive Visual Cues for Face Tracking. FG Jochen Triesch, Christoph von der Malsburg
1999	J	`jnl`	GripSee: A Gesture-Controlled Robot for Object Perception and Manipulation. Auton. Robots Mark Becker, Efthimia Kefalea, Eric Maël, Christoph von der Malsburg, Mike Pagel, Jochen Triesch, Jan C. Vorbrüggen, Rolf P. Würtz, Stefan Zadel
1999	—	`conf`	Towards Imitation Learning of Grasping Movements by an Autonomous Robot. Gesture Workshop Jochen Triesch, Jan Wieghardt, Eric Maël, Christoph von der Malsburg
1999	—	`—`	Vision based robotic gesture recognition. Jochen Triesch
1998	B	`conf`	A Gesture Interface for Human-Robot-Interaction. FG Jochen Triesch, Christoph von der Malsburg
1998	—	`conf`	Robotic Gesture Recognition by Cue Combination. GI Jahrestagung Jochen Triesch, Christoph von der Malsburg
1997	—	`conf`	Robotic Gesture Recognition. Gesture Workshop Jochen Triesch, Christoph von der Malsburg
1996	C	`conf`	Binding - A Proposed Experiment and a Model. ICANN Jochen Triesch, Christoph von der Malsburg
1996	B	`conf`	Robust classification of hand postures against complex backgrounds. FG Jochen Triesch, Christoph von der Malsburg