Robust classification of hand postures against complex backgrounds. - Jochen Triesch; Christoph von der Malsburg (FG, 1996)

Binding - A Proposed Experiment and a Model. - Jochen Triesch; Christoph von der Malsburg (ICANN, 1996)

Robotic Gesture Recognition. - Jochen Triesch; Christoph von der Malsburg (Gesture Workshop, 1997)

A Gesture Interface for Human-Robot-Interaction. - Jochen Triesch; Christoph von der Malsburg (FG, 1998)

Robotic Gesture Recognition by Cue Combination. - Jochen Triesch; Christoph von der Malsburg (GI Jahrestagung, 1998)

Towards Imitation Learning of Grasping Movements by an Autonomous Robot. - Jochen Triesch; Jan Wieghardt; Eric Maël; Christoph von der Malsburg (Gesture Workshop, 1999)

GripSee: A Gesture-Controlled Robot for Object Perception and Manipulation. - Mark Becker; Efthimia Kefalea; Eric Maël; Christoph von der Malsburg; Mike Pagel; Jochen Triesch; Jan C. Vorbrüggen; Rolf P. Würtz; Stefan Zadel (Auton. Robots, 1999)

Vision based robotic gesture recognition. - Jochen Triesch (Shaker, 1999)

Self-Organized Integration of Adaptive Visual Cues for Face Tracking. - Jochen Triesch; Christoph von der Malsburg (FG, 2000)

Democratic Integration: Self-Organized Integration of Adaptive Cues. - Jochen Triesch; Christoph von der Malsburg (Neural Comput., 2001)

A System for Person-Independent Hand Posture Recognition against Complex Backgrounds. - Jochen Triesch; Christoph von der Malsburg (IEEE Trans. Pattern Anal. Mach. Intell., 2001)

Vision in natural and virtual environments. - Mary M. Hayhoe; Dana H. Ballard; Jochen Triesch; Hiroyuki Shinoda 002; Pilar Aivar; Brian T. Sullivan (ETRA, 2002)

Saccade contingent updating in virtual reality. - Jochen Triesch; Brian T. Sullivan; Mary M. Hayhoe; Dana H. Ballard (ETRA, 2002)

Classification of hand postures against complex backgrounds using elastic graph matching. - Jochen Triesch; Christoph von der Malsburg (Image Vis. Comput., 2002)

Investigating the emergence of shared attention through an embodied computational modeling approach: a progress report. - Jochen Triesch; Eric Carlson; Gedeon O. Deák; Javier Movellan (IJCNN, 2003)

Design of an Anthropomorphic Robot Head for Studying Autonomous Development and Learning. - Hyundo Kim; George York; Greg Burton; Erik Murphy-Chutorian; Jochen Triesch (ICRA, 2004)

Synergies between Intrinsic and Synaptic Plasticity in Individual Model Neurons. - Jochen Triesch (NIPS, 2004)

A Gradient Rule for the Plasticity of a Neuron's Intrinsic Excitability. - Jochen Triesch (ICANN (1), 2005)

Toward a Unified Probabilistic Framework for Object Recognition and Segmentation. - Huei-Ju Chen; Kuang-Chih Lee; Erik Murphy-Chutorian; Jochen Triesch (ISVC, 2005)

A Virtual Reality Platform for Modeling Cognitive Development. - Hector Jasso; Jochen Triesch (Biomimetic Neural Learning for Intelligent Robots, 2005)

Shared Features for Scalable Appearance-Based Object Recognition. - Erik Murphy-Chutorian; Jochen Triesch (WACV/MOTION, 2005)

Semi-autonomous Learning of Objects. - Hyundo Kim; Erik Murphy-Chutorian; Jochen Triesch (CVPR Workshops, 2006)

Exploring the role of intrinsic plasticity for the learning of sensory representations. - Nicholas Butko; Jochen Triesch (ESANN, 2006)

The combination of STDP and intrinsic plasticity yields complex dynamics in recurrent spiking networks. - Andreea Lazar; Gordon Pipa; Jochen Triesch (ESANN, 2006)

Modeling the emergence of gaze following. - Jochen Triesch (Künstliche Intell., 2006)

Analysis of Cluttered Scenes Using an Elastic Matching Approach for Stereo Images. - Christian Eckes; Jochen Triesch; Christoph von der Malsburg (Neural Comput., 2006)

Learning to Attend - From Bottom-Up to Top-Down. - Hector Jasso; Jochen Triesch (WAPCV, 2007)

Emergence of Mirror Neurons in a Model of Gaze Following. - Jochen Triesch; Hector Jasso; Gedeon O. Deák (Adapt. Behav., 2007)

Learning sensory representations with intrinsic plasticity. - Nicholas Butko; Jochen Triesch (Neurocomputing, 2007)

To each his own: The caregiver's role in a computational model of gaze following. - Christof Teuscher; Jochen Triesch (Neurocomputing, 2007)

Synergies Between Intrinsic and Synaptic Plasticity Mechanisms. - Jochen Triesch (Neural Comput., 2007)

Fading memory and time series prediction in recurrent networks with different forms of plasticity. - Andreea Lazar; Gordon Pipa; Jochen Triesch (Neural Networks, 2007)

Understanding robustness in Random Boolean Networks. - Kai Willadsen; Jochen Triesch; Janet Wiles (ALIFE, 2008)

A Globally Asymptotically Stable Plasticity Rule for Firing Rate Homeostasis. - Prashant Joshi; Jochen Triesch (ICANN (2), 2008)

Predictive Coding in Cortical Microcircuits. - Andreea Lazar; Gordon Pipa; Jochen Triesch (ICANN (2), 2008)

From Exploration to Planning. - Cornelius Weber; Jochen Triesch (ICANN (1), 2008)

A Sparse Generative Model of V1 Simple Cells with Intrinsic Plasticity. - Cornelius Weber; Jochen Triesch (Neural Comput., 2008)

A robust biologically plausible implementation of ICA-like learning. - Felipe Gerhard; Cristina Savin; Jochen Triesch (ESANN, 2009)

Optimizing Generic Neural Microcircuits through Reward Modulated STDP. - Prashant Joshi; Jochen Triesch (ICANN (1), 2009)

Rules for information maximization in spiking neurons using intrinsic plasticity. - Prashant Joshi; Jochen Triesch (IJCNN, 2009)

A neural model for the adaptive control of saccadic eye movements. - Sohrab Saeb; Cornelius Weber; Jochen Triesch (IJCNN, 2009)

Goal-directed feature learning. - Cornelius Weber; Jochen Triesch (IJCNN, 2009)

SORN: a self-organizing recurrent neural network. - Andreea Lazar; Gordon Pipa; Jochen Triesch (Frontiers Comput. Neurosci., 2009)

Goal-directed learning of features and forward models. - Sohrab Saeb; Cornelius Weber; Jochen Triesch (Neural Networks, 2009)

Report on the IEEE 8th International Conference on Development and Learning (ICDL-2009). - Jochen Triesch; Zhengyou Zhang (IEEE Trans. Auton. Ment. Dev., 2009)

Independent Component Analysis in Spiking Neurons. - Cristina Savin; Prashant Joshi; Jochen Triesch (PLoS Comput. Biol., 2010)

Emerging Bayesian Priors in a Self-Organizing Recurrent Network. - Andreea Lazar; Gordon Pipa; Jochen Triesch (ICANN (2), 2011)

Scalable reinforcement learning through hierarchical decompositions for weakly-coupled problems. - Hazem Toutounji; Constantin A. Rothkopf; Jochen Triesch (ICDL-EPIROB, 2011)

Learning the Optimal Control of Coordinated Eye and Head Movements. - Sohrab Saeb; Cornelius Weber; Jochen Triesch (PLoS Comput. Biol., 2011)

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. - Angelo Cangelosi; Jochen Triesch (IEEE Trans. Auton. Ment. Dev., 2011)

Autonomous learning of robust visual object detection and identification on a humanoid. - Jürgen Leitner; Pramod Chandrashekhariah; Simon Harding; Mikhail Frank; Gabriele Spina; Alexander Förster; Jochen Triesch; Jürgen Schmidhuber (ICDL-EPIROB, 2012)

A bio-inspired attention model of anticipation in gaze-contingency experiments with infants. - Rodolfo Marraffa; Valerio Sperati; Daniele Caligiore; Jochen Triesch; Gianluca Baldassarre (ICDL-EPIROB, 2012)

A unified model of the joint development of disparity selectivity and vergence control. - Yu Zhao 031; Constantin A. Rothkopf; Jochen Triesch; Bertram E. Shi (ICDL-EPIROB, 2012)

A Unified Account of Gaze Following. - Hector Jasso; Jochen Triesch; Gedeon O. Deák; Joshua M. Lewis (IEEE Trans. Auton. Ment. Dev., 2012)

Generalization and Interference in Human Motor Control. - Luca Lonini; Christos Dimitrakakis; Constantin A. Rothkopf; Jochen Triesch (Computational and Robotic Models of the Hierarchical Organization of Behavior, 2013)

Autonomous learning of active multi-scale binocular vision. - Luca Lonini; Yu Zhao 031; Pramod Chandrashekhariah; Bertram E. Shi; Jochen Triesch (ICDL-EPIROB, 2013)

A Curious Vision System for Autonomous and Cumulative Object Learning. - Pramod Chandrashekhariah; Gabriele Spina; Jochen Triesch (VISIGRAPP (Selected Papers), 2013)

Let it Learn - A Curious Vision System for Autonomous Object Learning. - Pramod Chandrashekhariah; Gabriele Spina; Jochen Triesch (VISAPP (2), 2013)

Robust active binocular vision through intrinsically motivated learning. - Luca Lonini; Sébastien Forestier; Céline Teulière; Yu Zhao 031; Bertram E. Shi; Jochen Triesch (Frontiers Neurorobotics, 2013)

Network Self-Organization Explains the Statistics and Dynamics of Synaptic Connection Strengths in Cortex. - Pengsheng Zheng; Christos Dimitrakakis; Jochen Triesch (PLoS Comput. Biol., 2013)

OpenEyeSim - A platform for biomechanical modeling of oculomotor control. - Alexander Priamikov; Jochen Triesch (ICDL-EPIROB, 2014)

Autonomous learning of smooth pursuit and vergence through active efficient coding. - T. N. Vikram; Céline Teulière; Chong Zhang 002; Bertram E. Shi; Jochen Triesch (ICDL-EPIROB, 2014)

Intrinsically motivated learning of visual motion perception and smooth pursuit. - Chong Zhang 002; Yu Zhao 031; Jochen Triesch; Bertram E. Shi (ICRA, 2014)

Hide and Seek - An Active Binocular Object Tracking System. - Pramod Chandrashekhariah; Jochen Triesch (VISAPP (3), 2014)

Emergence of task-dependent representations in working memory circuits. - Cristina Savin; Jochen Triesch (Frontiers Comput. Neurosci., 2014)

Robust development of synfire chains from multiple plasticity mechanisms. - Pengsheng Zheng; Jochen Triesch (Frontiers Comput. Neurosci., 2014)

Cortical Function, Normative Models of. - Jochen Triesch (Encyclopedia of Computational Neuroscience, 2014)

Real-time activity recognition via deep learning of motion features. - Kishore Konda; Pramod Chandrashekhariah; Roland Memisevic; Jochen Triesch (ESANN, 2015)

Active maintenance of binocular correspondence leads to orientation alignment of visual receptive fields. - Thusitha N. Chandrapala; Bertram E. Shi; Jochen Triesch (ICDL-EPIROB, 2015)

Seeing [u] aids vocal learning: Babbling and imitation of vowels using a 3D vocal tract model, reinforcement learning, and reservoir computing. - Max Murakami; Bernd J. Kröger; Peter Birkholz; Jochen Triesch (ICDL-EPIROB, 2015)

The role of contrast sensitivity in the development of binocular vision: A computational study. - Alexander Priamikov; Vikram Narayan; Bertram E. Shi; Jochen Triesch (ICDL-EPIROB, 2015)

On the utility of sparse neural representations in adaptive behaving agents. - Thusitha N. Chandrapala; Bertram E. Shi; Jochen Triesch (IJCNN, 2015)

Where's the Noise? Key Features of Spontaneous Activity and Neural Variability Arise through Learning in a Deterministic Network. - Christoph Hartmann; Andreea Lazar; Bernhard Nessler; Jochen Triesch (PLoS Comput. Biol., 2015)

Self-calibrating smooth pursuit through active efficient coding. - Céline Teulière; Sébastien Forestier; Luca Lonini; Chong Zhang 002; Yu Zhao 031; Bertram E. Shi; Jochen Triesch (Robotics Auton. Syst., 2015)

Look and learn: A model of gaze-contingent learning. - Max Murakami; Jantina Bolhuis; Thorsten Kolling; Monika Knopf; Jochen Triesch (ICDL-EPIROB, 2016)

Self-calibrating active depth perception via motion parallax. - Tanapol Prucksakorn; Sungmoon Jeong; Jochen Triesch; Hosun Lee; Nak Young Chong (ICDL-EPIROB, 2016)

Global and local statistical regularities control visual attention to object sequences. - Alexa R. Romberg; Yayun Zhang; Benjamin Newman; Jochen Triesch; Chen Yu 001 (ICDL-EPIROB, 2016)

An active efficient coding model of the optokinetic nystagmus. - Chong Zhang 002; Jochen Triesch; Bertram E. Shi (CoRR, 2016)

Plasticity-Driven Self-Organization under Topological Constraints Accounts for Non-random Features of Cortical Synaptic Wiring. - Daniel Miner; Jochen Triesch (PLoS Comput. Biol., 2016)

Learning of active binocular vision in a biomechanical model of the oculomotor system. - Lukas Klimmasch; Alexander Lelais; Alexander Lichtenstein; Bertram E. Shi; Jochen Triesch (ICDL-EPIROB, 2017)

Autonomous, self-calibrating binocular vision based on learned attention and active efficient coding. - Qingpeng Zhu; Jochen Triesch; Bertram E. Shi (ICDL-EPIROB, 2017)

Learning multisensory cue integration on mobile robots. - Chong Zhang 002; Jochen Triesch; Bertram E. Shi (ICRA, 2017)

Learning of binocular fixations using anomaly detection with deep reinforcement learning. - François De La Bourdonnaye; Céline Teulière; Thierry Chateau; Jochen Triesch (IJCNN, 2017)

Learning multisensory neural controllers for robot arm tracking. - Lakshitha P. Wijesinghe; Marco Antonelli; Jochen Triesch; Bertram E. Shi (IJCNN, 2017)

Joint Learning of Binocularly Driven Saccades and Vergence by Active Efficient Coding. - Qingpeng Zhu; Jochen Triesch; Bertram E. Shi (Frontiers Neurorobotics, 2017)

A model of human motor sequence learning explains facilitation and interference effects based on spike-timing dependent plasticity. - Quan Wang 003; Constantin A. Rothkopf; Jochen Triesch (PLoS Comput. Biol., 2017)

Autonomous learning of cyclovergence control based on Active Efficient Coding. - Qingpeng Zhu; Chong Zhang 002; Jochen Triesch; Bertram E. Shi (ICDL-EPIROB, 2018)

Learning to Touch Objects Through Stage-Wise Deep Reinforcement Learning. - François De La Bourdonnaye; Céline Teulière; Jochen Triesch; Thierry Chateau (IROS, 2018)

An Active Efficient Coding Model of Binocular Vision Development Under Normal and Abnormal Rearing Conditions. - Lukas Klimmasch; Johann Schneider; Alexander Lelais; Bertram E. Shi; Jochen Triesch (SAB, 2018)

Learning Hierarchical Integration of Foveal and Peripheral Vision for Vergence Control by Active Efficient Coding. - Zhetuo Zhao; Jochen Triesch; Bertram E. Shi (SAB, 2018)

Robot End Effector Tracking Using Predictive Multisensory Integration. - Lakshitha P. Wijesinghe; Jochen Triesch; Bertram E. Shi (Frontiers Neurorobotics, 2018)

Stage-Wise Learning of Reaching Using Little Prior Knowledge. - François De La Bourdonnaye; Céline Teulière; Jochen Triesch; Thierry Chateau (Frontiers Robotics AI, 2018)

Bridging structure and function: A model of sequence learning and prediction in primary visual cortex. - Christian Klos; Daniel Miner; Jochen Triesch (PLoS Comput. Biol., 2018)

A Deep Residual Neural Network Based Framework for Epileptogenesis Detection in a Rodent Model with Single-Channel EEG Recordings. - Diyuan Lu; Sebastian Bauer; Valentin Neubert; Lara Sophie Costard; Felix Rosenow; Jochen Triesch (CISP-BMEI, 2019)

Recurrent Connections Aid Occluded Object Recognition by Discounting Occluders. - Markus Roland Ernst; Jochen Triesch; Thomas Burwick (ICANN (3), 2019)

Within Reach? Learning to touch objects without prior models. - François De La Bourdonnaye; Céline Teulière; Thierry Chateau; Jochen Triesch (ICDL-EPIROB, 2019)

REAL-2019: Robot open-Ended Autonomous Learning competition. - Emilio Cartoni; Francesco Mannella; Vieri Giuliano Santucci; Jochen Triesch; Elmar Rueckert; Gianluca Baldassarre (NeurIPS (Competition and Demos), 2019)

Residual Deep Convolutional Neural Network for EEG Signal Classification in Epilepsy. - Diyuan Lu; Jochen Triesch (CoRR, 2019)

Recurrent Connectivity Aids Recognition of Partly Occluded Objects. - Markus Roland Ernst; Jochen Triesch; Thomas Burwick (CoRR, 2019)

Autonomous Development of Active Binocular and Motion Vision Through Active Efficient Coding. - Alexander Lelais; Jonas Mahn; Vikram Narayan; Chong Zhang 002; Bertram E. Shi; Jochen Triesch (Frontiers Neurorobotics, 2019)

Retinal Slip Estimation and Object Tracking with an Active Event Camera. - Qingpeng Zhu; Jochen Triesch; Bertram E. Shi (AICAS, 2020)

Staging Epileptogenesis with Deep Neural Networks. - Diyuan Lu; Sebastian Bauer; Valentin Neubert; Lara Sophie Costard; Felix Rosenow; Jochen Triesch (BCB, 2020)

Recurrent Feedback Improves Recognition of Partially Occluded Objects. - Markus Roland Ernst; Jochen Triesch; Thomas Burwick (ESANN, 2020)

Unsupervised Learning of Spatio-Temporal Receptive Fields from an Event-Based Vision Sensor. - Thomas Barbier; Céline Teulière; Jochen Triesch (ICANN (2), 2020)

Self-Calibrating Active Binocular Vision via Active Efficient Coding with Deep Autoencoders. - Charles Wilmot; Bertram E. Shi; Jochen Triesch (ICDL-EPIROB, 2020)

Integration of Vergence, Cyclovergence, and Saccades through Active Efficient Coding. - Qingpeng Zhu; Jochen Triesch; Bertram E. Shi (ICDL-EPIROB, 2020)

Towards Early Diagnosis of Epilepsy from EEG Data. - Diyuan Lu; Sebastian Bauer; Valentin Neubert; Lara Sophie Costard; Felix Rosenow; Jochen Triesch (MLHC, 2020)

An open-ended learning architecture to face the REAL 2020 simulated robot competition. - Emilio Cartoni; Davide Montella; Jochen Triesch; Gianluca Baldassarre (CoRR, 2020)

An Event-by-Event Approach for Velocity Estimation and Object Tracking With an Active Event Camera. - Qingpeng Zhu; Jochen Triesch; Bertram E. Shi (IEEE J. Emerg. Sel. Topics Circuits Syst., 2020)

Spike Timing-Based Unsupervised Learning of Orientation, Disparity, and Motion Representations in a Spiking Neural Network. - Thomas Barbier; Céline Teulière; Jochen Triesch (CVPR Workshops, 2021)

A Computational Model of the Effect of Short-Term Monocular Deprivation on Binocular Rivalry in the Context of Amblyopia. - Norman Seeliger; Jochen Triesch (ICANN (1), 2021)

Human-Expert-Level Brain Tumor Detection Using Deep Learning with Data Distillation And Augmentation. - Diyuan Lu; Nenad Polomac; Iskra Gacheva; Elke Hattingen; Jochen Triesch (ICASSP, 2021)

Learning Abstract Representations through Lossy Compression of Multi-Modal Signals. - Charles Wilmot; Jochen Triesch (CoRR, 2021)

Multiple Instance Learning for Brain Tumor Detection from Magnetic Resonance Spectroscopy Data. - Diyuan Lu; Gerhard Kurz; Nenad Polomac; Iskra Gacheva; Elke Hattingen; Jochen Triesch (CoRR, 2021)

PymoNNto: A Flexible Modular Toolbox for Designing Brain-Inspired Neural Networks. - Marius N. Vieth; Tristan M. Stöber; Jochen Triesch (Frontiers Neuroinformatics, 2021)

EEG microstate periodicity explained by rotating phase patterns of resting-state alpha oscillations. - Frederic von Wegner; Sebastian Bauer; Felix Rosenow; Jochen Triesch; Helmut Laufs (NeuroImage, 2021)

Active head rolls enhance sonar-based auditory localization performance. - Lakshitha P. Wijesinghe; Melville Wohlgemuth; Richard Hau Yue So; Jochen Triesch; Cynthia F. Moss; Bertram E. Shi (PLoS Comput. Biol., 2021)

Toddler-inspired embodied vision for learning object representations. - Arthur Aubret; Céline Teulière; Jochen Triesch (ICDL, 2022)

MIMo: A Multi-Modal Infant Model for Studying Cognitive Development in Humans and AIs. - Dominik Mattern; Francisco M. López; Markus Roland Ernst; Arthur Aubret; Jochen Triesch (ICDL, 2022)

Diagnosing Epileptogenesis with Deep Anomaly Detection. - Amr Farahat; Diyuan Lu; Sebastian Bauer; Valentin Neubert; Lara Sophie Costard; Felix Rosenow; Jochen Triesch (MLHC, 2022)

Embodied vision for learning object representations. - Arthur Aubret; Céline Teulière; Jochen Triesch (CoRR, 2022)

Time to augment contrastive learning. - Arthur Aubret; Markus Roland Ernst; Céline Teulière; Jochen Triesch (CoRR, 2022)

Sequence and Circle: Exploring the Relationship Between Patches. - Zhengyang Yu; Jochen Triesch (CoRR, 2022)

Learning torsional eye movements through active efficient coding. - Qingpeng Zhu; Chong Zhang 002; Jochen Triesch; Bertram E. Shi (Neuromorph. Comput. Eng., 2022)

Predictive Coding Light: learning compact visual codes by combining excitatory and inhibitory spike timing-dependent plasticity*. - Antony W. N'Dri; Thomas Barbier; Céline Teulière; Jochen Triesch (CVPR Workshops, 2023)

CRE: Circle relationship embedding of patches in vision transformer. - Zhengyang Yu; Jochen Triesch (ESANN, 2023)

Advancing Brain Tumor Detection with Multiple Instance Learning on Magnetic Resonance Spectroscopy Data. - Diyuan Lu; Gerhard Kurz; Nenad Polomac; Iskra Gacheva; Elke Hattingen; Jochen Triesch (ICANN (4), 2023)

CIPER: Combining Invariant and Equivariant Representations Using Contrastive and Predictive Learning. - Xia Xu; Jochen Triesch (ICANN (3), 2023)

Eye-Hand Coordination Develops from Active Multimodal Compression. - Francisco M. López; Bertram E. Shi; Jochen Triesch (ICDL, 2023)

Saccade Amplitude Statistics are Explained by Cortical Magnification. - Marcel C. Raabe; Francisco M. López; Zhengyang Yu; Spencer Caplan; Chen Yu 001; Bertram E. Shi; Jochen Triesch (ICDL, 2023)

Caregiver Talk Shapes Toddler Vision: A Computational Study of Dyadic Play. - Timothy Schaumlöffel; Arthur Aubret; Gemma Roig; Jochen Triesch (ICDL, 2023)

Time to augment self-supervised visual representation learning. - Arthur Aubret; Markus Roland Ernst; Céline Teulière; Jochen Triesch (ICLR, 2023)

MIMo: A Multi-Modal Infant Model for Studying Cognitive Development. - Dominik Mattern; Pierre Schumacher; Francisco M. López; Marcel C. Raabe; Markus Roland Ernst; Arthur Aubret; Jochen Triesch (CoRR, 2023)

Biological complexity facilitates tuning of the neuronal parameter space. - Marius Schneider 002; Alexander D. Bird; Albert Gidon; Jochen Triesch; Peter Jedlicka; Hermann Cuntz (PLoS Comput. Biol., 2023)

Guest Editorial Special Issue on Intrinsically Motivated Open-Ended Learning (IMOL). - Kathryn Kasmarik; Gianluca Baldassarre; Vieri Giuliano Santucci; Jochen Triesch (IEEE Trans. Cogn. Dev. Syst., 2023)

Learning Abstract Representations Through Lossy Compression of Multimodal Signals. - Charles Wilmot; Gianluca Baldassarre; Jochen Triesch (IEEE Trans. Cogn. Dev. Syst., 2023)

REAL-X - Robot Open-Ended Autonomous Learning Architecture: Building Truly End-to-End Sensorimotor Autonomous Learning Systems. - Emilio Cartoni; Davide Montella; Jochen Triesch; Gianluca Baldassarre (IEEE Trans. Cogn. Dev. Syst., 2023)

Self-supervised Visual Learning from Interactions with Objects. - Arthur Aubret; Céline Teulière; Jochen Triesch (ECCV (75), 2024)

Learning Object Semantic Similarity with Self-Supervision. - Arthur Aubret; Timothy Schaumlöffel; Gemma Roig; Jochen Triesch (ICDL, 2024)

Self-Supervised Learning of Color Constancy. - Markus Roland Ernst; Francisco M. López; Arthur Aubret; Roland W. Fleming; Jochen Triesch (ICDL, 2024)

Self-Calibrating Saccade-Vergence Interactions. - Francisco M. López; Marcel C. Raabe; Bertram E. Shi; Jochen Triesch (ICDL, 2024)

Active Gaze Behavior Boosts Self-Supervised Object Learning. - Zhengyang Yu; Arthur Aubret; Marcel C. Raabe; Jane Yang; Chen Yu 001; Jochen Triesch (CoRR, 2024)

Accelerating spiking neural network simulations with PymoNNto and PymoNNtorch. - Marius N. Vieth; Ali Rahimi; Ashena Gorgan Mohammadi; Jochen Triesch; Mohammad Ganjtabesh (Frontiers Neuroinformatics, 2024)

A spiking neural network for active efficient coding. - Thomas Barbier; Céline Teulière; Jochen Triesch (Frontiers Robotics AI, 2024)

MIMo: A Multimodal Infant Model for Studying Cognitive Development. - Dominik Mattern; Pierre Schumacher; Francisco M. López; Marcel C. Raabe; Markus Roland Ernst; Arthur Aubret; Jochen Triesch (IEEE Trans. Cogn. Dev. Syst., 2024)

Stabilizing sequence learning in stochastic spiking networks with GABA-Modulated STDP. - Marius N. Vieth; Jochen Triesch (Neural Networks, 2025)

Seeing the Whole in the Parts in Self-Supervised Representation Learning. - Arthur Aubret; Céline Teulière; Jochen Triesch (CoRR, 2025)

Human Gaze Boosts Object-Centered Representation Learning. - Timothy Schaumlöffel; Arthur Aubret; Gemma Roig; Jochen Triesch (CoRR, 2025)

Hierarchical Residuals Exploit Brain-Inspired Compositionality. - Francisco M. López; Jochen Triesch (CoRR, 2025)

From Kicking to Causality: Simulating Infant Agency Detection with a Robust Intrinsic Reward. - Xia Xu; Jochen Triesch (CoRR, 2025)