Jochen Triesch

Orcid: 0000-0001-8166-2441

Affiliations:
  • Goethe-Universität Frankfurt, Frankfurt am Main, Germany
  • University of California, San Diego, Department of Cognitive Science, USA (former)
  • Ruhr-Universität Bochum, Germany (former)


According to our database1, Jochen Triesch authored at least 142 papers between 1996 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
MIMo: A Multimodal Infant Model for Studying Cognitive Development.
IEEE Trans. Cogn. Dev. Syst., August, 2024

Accelerating spiking neural network simulations with PymoNNto and PymoNNtorch.
Frontiers Neuroinformatics, 2024

Self-Calibrating Saccade-Vergence Interactions.
Proceedings of the IEEE International Conference on Development and Learning, 2024

Self-Supervised Learning of Color Constancy.
Proceedings of the IEEE International Conference on Development and Learning, 2024

Learning Object Semantic Similarity with Self-Supervision.
Proceedings of the IEEE International Conference on Development and Learning, 2024

Self-supervised Visual Learning from Interactions with Objects.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
REAL-X - Robot Open-Ended Autonomous Learning Architecture: Building Truly End-to-End Sensorimotor Autonomous Learning Systems.
IEEE Trans. Cogn. Dev. Syst., December, 2023

Learning Abstract Representations Through Lossy Compression of Multimodal Signals.
IEEE Trans. Cogn. Dev. Syst., 2023

Guest Editorial Special Issue on Intrinsically Motivated Open-Ended Learning (IMOL).
IEEE Trans. Cogn. Dev. Syst., 2023

Biological complexity facilitates tuning of the neuronal parameter space.
PLoS Comput. Biol., 2023

MIMo: A Multi-Modal Infant Model for Studying Cognitive Development.
CoRR, 2023

Time to augment self-supervised visual representation learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Caregiver Talk Shapes Toddler Vision: A Computational Study of Dyadic Play.
Proceedings of the IEEE International Conference on Development and Learning, 2023

Saccade Amplitude Statistics are Explained by Cortical Magnification.
Proceedings of the IEEE International Conference on Development and Learning, 2023

Eye-Hand Coordination Develops from Active Multimodal Compression.
Proceedings of the IEEE International Conference on Development and Learning, 2023

CIPER: Combining Invariant and Equivariant Representations Using Contrastive and Predictive Learning.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023

Advancing Brain Tumor Detection with Multiple Instance Learning on Magnetic Resonance Spectroscopy Data.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023

CRE: Circle relationship embedding of patches in vision transformer.
Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

Predictive Coding Light: learning compact visual codes by combining excitatory and inhibitory spike timing-dependent plasticity<sup>*</sup>.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Learning torsional eye movements through active efficient coding.
Neuromorph. Comput. Eng., 2022

Sequence and Circle: Exploring the Relationship Between Patches.
CoRR, 2022

Time to augment contrastive learning.
CoRR, 2022

Embodied vision for learning object representations.
CoRR, 2022

Diagnosing Epileptogenesis with Deep Anomaly Detection.
Proceedings of the Machine Learning for Healthcare Conference, 2022

MIMo: A Multi-Modal Infant Model for Studying Cognitive Development in Humans and AIs.
Proceedings of the IEEE International Conference on Development and Learning, 2022

Toddler-inspired embodied vision for learning object representations.
Proceedings of the IEEE International Conference on Development and Learning, 2022

2021
Active head rolls enhance sonar-based auditory localization performance.
PLoS Comput. Biol., 2021

EEG microstate periodicity explained by rotating phase patterns of resting-state alpha oscillations.
NeuroImage, 2021

PymoNNto: A Flexible Modular Toolbox for Designing Brain-Inspired Neural Networks.
Frontiers Neuroinformatics, 2021

Multiple Instance Learning for Brain Tumor Detection from Magnetic Resonance Spectroscopy Data.
CoRR, 2021

Learning Abstract Representations through Lossy Compression of Multi-Modal Signals.
CoRR, 2021

Human-Expert-Level Brain Tumor Detection Using Deep Learning with Data Distillation And Augmentation.
Proceedings of the IEEE International Conference on Acoustics, 2021

A Computational Model of the Effect of Short-Term Monocular Deprivation on Binocular Rivalry in the Context of Amblyopia.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Spike Timing-Based Unsupervised Learning of Orientation, Disparity, and Motion Representations in a Spiking Neural Network.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
An Event-by-Event Approach for Velocity Estimation and Object Tracking With an Active Event Camera.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2020

An open-ended learning architecture to face the REAL 2020 simulated robot competition.
CoRR, 2020

Towards Early Diagnosis of Epilepsy from EEG Data.
Proceedings of the Machine Learning for Healthcare Conference, 2020

Integration of Vergence, Cyclovergence, and Saccades through Active Efficient Coding.
Proceedings of the Joint IEEE 10th International Conference on Development and Learning and Epigenetic Robotics, 2020

Self-Calibrating Active Binocular Vision via Active Efficient Coding with Deep Autoencoders.
Proceedings of the Joint IEEE 10th International Conference on Development and Learning and Epigenetic Robotics, 2020

Unsupervised Learning of Spatio-Temporal Receptive Fields from an Event-Based Vision Sensor.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

Recurrent Feedback Improves Recognition of Partially Occluded Objects.
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

Staging Epileptogenesis with Deep Neural Networks.
Proceedings of the BCB '20: 11th ACM International Conference on Bioinformatics, 2020

Retinal Slip Estimation and Object Tracking with an Active Event Camera.
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020

2019
Autonomous Development of Active Binocular and Motion Vision Through Active Efficient Coding.
Frontiers Neurorobotics, 2019

Recurrent Connectivity Aids Recognition of Partly Occluded Objects.
CoRR, 2019

Residual Deep Convolutional Neural Network for EEG Signal Classification in Epilepsy.
CoRR, 2019

REAL-2019: Robot open-Ended Autonomous Learning competition.
Proceedings of the NeurIPS 2019 Competition and Demonstration Track, 2019

Within Reach? Learning to touch objects without prior models.
Proceedings of the Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics, 2019

Recurrent Connections Aid Occluded Object Recognition by Discounting Occluders.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019

A Deep Residual Neural Network Based Framework for Epileptogenesis Detection in a Rodent Model with Single-Channel EEG Recordings.
Proceedings of the 12th International Congress on Image and Signal Processing, 2019

2018
Bridging structure and function: A model of sequence learning and prediction in primary visual cortex.
PLoS Comput. Biol., 2018

Stage-Wise Learning of Reaching Using Little Prior Knowledge.
Frontiers Robotics AI, 2018

Robot End Effector Tracking Using Predictive Multisensory Integration.
Frontiers Neurorobotics, 2018

Learning Hierarchical Integration of Foveal and Peripheral Vision for Vergence Control by Active Efficient Coding.
Proceedings of the From Animals to Animats 15, 2018

An Active Efficient Coding Model of Binocular Vision Development Under Normal and Abnormal Rearing Conditions.
Proceedings of the From Animals to Animats 15, 2018

Learning to Touch Objects Through Stage-Wise Deep Reinforcement Learning.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Autonomous learning of cyclovergence control based on Active Efficient Coding.
Proceedings of the 2018 Joint IEEE 8th International Conference on Development and Learning and Epigenetic Robotics, 2018

2017
A model of human motor sequence learning explains facilitation and interference effects based on spike-timing dependent plasticity.
PLoS Comput. Biol., 2017

Joint Learning of Binocularly Driven Saccades and Vergence by Active Efficient Coding.
Frontiers Neurorobotics, 2017

Learning multisensory neural controllers for robot arm tracking.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Learning of binocular fixations using anomaly detection with deep reinforcement learning.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Learning multisensory cue integration on mobile robots.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Autonomous, self-calibrating binocular vision based on learned attention and active efficient coding.
Proceedings of the 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2017

Learning of active binocular vision in a biomechanical model of the oculomotor system.
Proceedings of the 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2017

2016
Plasticity-Driven Self-Organization under Topological Constraints Accounts for Non-random Features of Cortical Synaptic Wiring.
PLoS Comput. Biol., 2016

An active efficient coding model of the optokinetic nystagmus.
CoRR, 2016

Global and local statistical regularities control visual attention to object sequences.
Proceedings of the 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2016

Self-calibrating active depth perception via motion parallax.
Proceedings of the 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2016

Look and learn: A model of gaze-contingent learning.
Proceedings of the 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2016

2015
Self-calibrating smooth pursuit through active efficient coding.
Robotics Auton. Syst., 2015

Where's the Noise? Key Features of Spontaneous Activity and Neural Variability Arise through Learning in a Deterministic Network.
PLoS Comput. Biol., 2015

On the utility of sparse neural representations in adaptive behaving agents.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

The role of contrast sensitivity in the development of binocular vision: A computational study.
Proceedings of the 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2015

Seeing [u] aids vocal learning: Babbling and imitation of vowels using a 3D vocal tract model, reinforcement learning, and reservoir computing.
Proceedings of the 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2015

Active maintenance of binocular correspondence leads to orientation alignment of visual receptive fields.
Proceedings of the 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2015

Real-time activity recognition via deep learning of motion features.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

2014
Cortical Function, Normative Models of.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Robust development of synfire chains from multiple plasticity mechanisms.
Frontiers Comput. Neurosci., 2014

Emergence of task-dependent representations in working memory circuits.
Frontiers Comput. Neurosci., 2014

Hide and Seek - An Active Binocular Object Tracking System.
Proceedings of the VISAPP 2014, 2014

Intrinsically motivated learning of visual motion perception and smooth pursuit.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Autonomous learning of smooth pursuit and vergence through active efficient coding.
Proceedings of the 4th International Conference on Development and Learning and on Epigenetic Robotics, 2014

OpenEyeSim - A platform for biomechanical modeling of oculomotor control.
Proceedings of the 4th International Conference on Development and Learning and on Epigenetic Robotics, 2014

2013
Network Self-Organization Explains the Statistics and Dynamics of Synaptic Connection Strengths in Cortex.
PLoS Comput. Biol., 2013

Robust active binocular vision through intrinsically motivated learning.
Frontiers Neurorobotics, 2013

Let it Learn - A Curious Vision System for Autonomous Object Learning.
Proceedings of the VISAPP 2013, 2013

A Curious Vision System for Autonomous and Cumulative Object Learning.
Proceedings of the Computer Vision, Imaging and Computer Graphics - Theory and Applications, 2013

Autonomous learning of active multi-scale binocular vision.
Proceedings of the 2013 IEEE Third Joint International Conference on Development and Learning and Epigenetic Robotics, 2013

Generalization and Interference in Human Motor Control.
Proceedings of the Computational and Robotic Models of the Hierarchical Organization of Behavior, 2013

2012
A Unified Account of Gaze Following.
IEEE Trans. Auton. Ment. Dev., 2012

A unified model of the joint development of disparity selectivity and vergence control.
Proceedings of the 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, 2012

A bio-inspired attention model of anticipation in gaze-contingency experiments with infants.
Proceedings of the 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, 2012

Autonomous learning of robust visual object detection and identification on a humanoid.
Proceedings of the 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, 2012

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.
IEEE Trans. Auton. Ment. Dev., 2011

Learning the Optimal Control of Coordinated Eye and Head Movements.
PLoS Comput. Biol., 2011

Scalable reinforcement learning through hierarchical decompositions for weakly-coupled problems.
Proceedings of the 1st International Conference on Development and Learning and on Epigenetic Robotics, 2011

Emerging Bayesian Priors in a Self-Organizing Recurrent Network.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

2010
Independent Component Analysis in Spiking Neurons.
PLoS Comput. Biol., 2010

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

Goal-directed learning of features and forward models.
Neural Networks, 2009

SORN: a self-organizing recurrent neural network.
Frontiers Comput. Neurosci., 2009

Goal-directed feature learning.
Proceedings of the International Joint Conference on Neural Networks, 2009

A neural model for the adaptive control of saccadic eye movements.
Proceedings of the International Joint Conference on Neural Networks, 2009

Rules for information maximization in spiking neurons using intrinsic plasticity.
Proceedings of the International Joint Conference on Neural Networks, 2009

Optimizing Generic Neural Microcircuits through Reward Modulated STDP.
Proceedings of the Artificial Neural Networks, 2009

A robust biologically plausible implementation of ICA-like learning.
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

2008
A Sparse Generative Model of V1 Simple Cells with Intrinsic Plasticity.
Neural Comput., 2008

From Exploration to Planning.
Proceedings of the Artificial Neural Networks, 2008

Predictive Coding in Cortical Microcircuits.
Proceedings of the Artificial Neural Networks, 2008

A Globally Asymptotically Stable Plasticity Rule for Firing Rate Homeostasis.
Proceedings of the Artificial Neural Networks, 2008

Understanding robustness in Random Boolean Networks.
Proceedings of the Eleventh International Conference on the Synthesis and Simulation of Living Systems, 2008

2007
Fading memory and time series prediction in recurrent networks with different forms of plasticity.
Neural Networks, 2007

Synergies Between Intrinsic and Synaptic Plasticity Mechanisms.
Neural Comput., 2007

To each his own: The caregiver's role in a computational model of gaze following.
Neurocomputing, 2007

Learning sensory representations with intrinsic plasticity.
Neurocomputing, 2007

Emergence of Mirror Neurons in a Model of Gaze Following.
Adapt. Behav., 2007

Learning to Attend - From Bottom-Up to Top-Down.
Proceedings of the Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint, 2007

2006
Analysis of Cluttered Scenes Using an Elastic Matching Approach for Stereo Images.
Neural Comput., 2006

Modeling the emergence of gaze following.
Künstliche Intell., 2006

The combination of STDP and intrinsic plasticity yields complex dynamics in recurrent spiking networks.
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

Exploring the role of intrinsic plasticity for the learning of sensory representations.
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

Semi-autonomous Learning of Objects.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006

2005
Shared Features for Scalable Appearance-Based Object Recognition.
Proceedings of the 7th IEEE Workshop on Applications of Computer Vision / IEEE Workshop on Motion and Video Computing (WACV/MOTION 2005), 2005

A Virtual Reality Platform for Modeling Cognitive Development.
Proceedings of the Biomimetic Neural Learning for Intelligent Robots, 2005

Toward a Unified Probabilistic Framework for Object Recognition and Segmentation.
Proceedings of the Advances in Visual Computing, First International Symposium, 2005

A Gradient Rule for the Plasticity of a Neuron's Intrinsic Excitability.
Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

2004
Synergies between Intrinsic and Synaptic Plasticity in Individual Model Neurons.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Design of an Anthropomorphic Robot Head for Studying Autonomous Development and Learning.
Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004

2002
Classification of hand postures against complex backgrounds using elastic graph matching.
Image Vis. Comput., 2002

Saccade contingent updating in virtual reality.
Proceedings of the Eye Tracking Research & Application Symposium, 2002

Vision in natural and virtual environments.
Proceedings of the Eye Tracking Research & Application Symposium, 2002

2001
A System for Person-Independent Hand Posture Recognition against Complex Backgrounds.
IEEE Trans. Pattern Anal. Mach. Intell., 2001

Democratic Integration: Self-Organized Integration of Adaptive Cues.
Neural Comput., 2001

2000
Self-Organized Integration of Adaptive Visual Cues for Face Tracking.
Proceedings of the 4th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2000), 2000

1999
Vision based robotic gesture recognition.
PhD thesis, 1999

GripSee: A Gesture-Controlled Robot for Object Perception and Manipulation.
Auton. Robots, 1999

Towards Imitation Learning of Grasping Movements by an Autonomous Robot.
Proceedings of the Gesture-Based Communication in Human-Computer Interaction, 1999

1998
Robotic Gesture Recognition by Cue Combination.
Proceedings of the Informatik '98, 1998

A Gesture Interface for Human-Robot-Interaction.
Proceedings of the 3rd International Conference on Face & Gesture Recognition (FG '98), 1998

1997
Robotic Gesture Recognition.
Proceedings of the Gesture and Sign Language in Human-Computer Interaction, 1997

1996
Binding - A Proposed Experiment and a Model.
Proceedings of the Artificial Neural Networks, 1996

Robust classification of hand postures against complex backgrounds.
Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG '96), 1996


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