J. Triesch

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The IM-CLeVeR Project : Intrinsically Motivated Cumulative Learning Versatile Robots

Julian Togelius, Francesco Mannella, Jürgen Schmidhuber, 2009 .

Emergence of Disparity Tuning during the Development of Vergence Eye Movements

J. Triesch, A. Franz, Arthur Franz, 2007, 2007 IEEE 6th International Conference on Development and Learning.

Self-organized integration of adaptive visual cues for face tracking

C. Malsburg, J. Triesch, 2000, Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580).

Using Eye Direction Cues for Gaze Following - A Developmental Model

J. Triesch, H. Jasso, 2006 .

Task demands control acquisition and storage of visual information.

Jason A. Droll, M. Hayhoe, Brian T. Sullivan, 2005, Journal of experimental psychology. Human perception and performance.

What you see is what you need.

D. Ballard, M. Hayhoe, Brian T. Sullivan, 2003, Journal of vision.

Gaze following: why (not) learn it?

C. Teuscher, J. Triesch, G. Deák, 2006, Developmental science.

Shared Features for Scalable Appearance-Based Object Recognition

Jochen Triesch, Erik Murphy-Chutorian, J. Triesch, 2005, 2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05) - Volume 1.

Analysis of Cluttered Scenes Using an Elastic Matching Approach for Stereo Images

Jochen Triesch, Christoph von der Malsburg, Christian Eckes, 2006, Neural Computation.

What can mathematical, computational and robotic models tell us about the origins of syntax?

Thomas L. Griffiths, Luc Steels, Simon Kirby, 2009 .

Combining embodied models and empirical research for understanding the development of shared attention

Ian R. Fasel, J. Movellan, I. Fasel, 2002, Proceedings 2nd International Conference on Development and Learning. ICDL 2002.

A multi-scale computational model of the effects of TMS on motor cortex

J. Triesch, S. Jun, H. Seo, 2016, bioRxiv.

Intrinsically motivated learning of visual motion perception and smooth pursuit

Yu Zhao, Jochen Triesch, Bertram E. Shi, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

Bayesian Cue Integration as a Developmental Outcome of Reward Mediated Learning

Thomas H. Weisswange, C. Rothkopf, J. Triesch, 2011, PloS one.

An active-efficient-coding model of optokinetic nystagmus.

Jochen Triesch, Bertram E. Shi, Chong Zhang, 2016, Journal of vision.

Learning multisensory cue integration on mobile robots

Jochen Triesch, Bertram E. Shi, Chong Zhang, 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Fast Temporal Dynamics of Visual Cue Integration

D. Ballard, R. Jacobs, J. Triesch, 2000, Perception.

A Gradient Rule for the Plasticity of a Neuron's Intrinsic Excitability

Jochen Triesch, J. Triesch, 2005, ICANN.

Learning Optimal Gaze Decomposition

Jochen Triesch, Eric Wiewiora, David J. Berg, 2010 .

Synergies Between Intrinsic and Synaptic Plasticity Mechanisms

Jochen Triesch, J. Triesch, 2007, Neural Computation.

A computational model of the emergence of gaze following

J. Triesch, E. Carlson, 2004 .

Robot open-Ended Autonomous Learning competition

R. Hadsell, G. Baldassarre, Francesco Mannella, 2020 .

Spike avalanches in vivo suggest a driven, slightly subcritical brain state

Jochen Triesch, Danko Nikolić, Viola Priesemann, 2014, Front. Syst. Neurosci..

Autonomous learning of robust visual object detection and identification on a humanoid

Jürgen Leitner, Jürgen Schmidhuber, Mikhail Frank, 2012, 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL).

GripSee: A Gesture-Controlled Robot for Object Perception and Manipulation

Jochen Triesch, Rolf P. Würtz, Christoph von der Malsburg, 1999, Auton. Robots.

To Care or Not to Care : Analyzing the Caregiver in a Computational Gaze Following Framework

C. Teuscher, J. Triesch, 2004 .

Binding - A Proposed Experiment and a Model

Jochen Triesch, Christoph von der Malsburg, C. Malsburg, 1996, ICANN.

A gesture interface for human-robot-interaction

Jochen Triesch, Christoph von der Malsburg, C. Malsburg, 1998, Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition.

Modeling the development of causality and occlusion perception in infants

J. Triesch, Arthur Franz, 2008, 2008 7th IEEE International Conference on Development and Learning.

Intrinsic Motivations Drive Learning of Eye Movements: An Experiment with Human Adults

Jochen Triesch, Peter Redgrave, Maria De Marsico, 2015, PloS one.

Learning independent causes in natural images explains the spacevariant oblique effect

Jochen Triesch, Constantin A. Rothkopf, Thomas H. Weisswange, 2009, 2009 IEEE 8th International Conference on Development and Learning.

Visual Working Memory Contents Bias Ambiguous Structure from Motion Perception

K. Gegenfurtner, J. Triesch, Matteo Valsecchi, 2013, PloS one.

A unified computational model of the development of object unity, object permanence, and occluded object trajectory perception.

J. Triesch, A. Franz, 2010, Infant behavior & development.

Infant Behavior and Development unified computational model of the development of object unity , bject permanence , and occluded object trajectory perception

J. Triesch, .. Franz, 2010 .

Watch the hands: infants can learn to follow gaze by seeing adults manipulate objects.

J. Triesch, G. Deák, L. Sepeta, 2014, Developmental science.

A robotic model of the development of gaze following

J. Triesch, H. Jasso, G. Deák, 2008, 2008 7th IEEE International Conference on Development and Learning.

Coordination in Behavior and Cognition

Karl J. Friston, E. Miller, P. König, 2010 .

Learning to share: The emergence of joint attention in human infancy.

J. Triesch, G. Deák, Anna M. Krasno, 2013 .

What Leads To Shared Attention? Maternal Cues and Infant Responses During Object Play

Jochen Triesch, Hector Jasso, Gedeon O. Deák, 2018 .

Title Watch the hands : infants can learn to follow gaze by seeing adults manipulate objects Permalink

J. Triesch, G. Deák, L. Sepeta, 2014 .

Modeling TMS-induced I-waves in human motor cortex.

J. Triesch, U. Ziemann, C. Zrenner, 2015, Progress in brain research.

Top-down influences on ambiguous perception: the role of stable and transient states of the observer

Jochen Triesch, Matteo Valsecchi, Lisa Scocchia, 2014, Front. Hum. Neurosci..

The Rôle of a priori Biases in Unsupervised Learning of Visual Representations : A Robotics Experiment

Jochen Triesch, J. Triesch, 2001 .

Infants in Control: Rapid Anticipation of Action Outcomes in a Gaze-Contingent Paradigm

Jochen Triesch, Constantin A. Rothkopf, Jantina Bolhuis, 2012, PloS one.

Reservoir Computing for Sensory Prediction and Classification in Adaptive Agents

C. Weber, M. Asada, J. Triesch, 2008 .

Epileptogenesis due to glia-mediated synaptic scaling

Jochen Triesch, Michael Meyer-Hermann, Cristina Savin, 2009, Journal of The Royal Society Interface.

Task-specific modulation of memory for object features in natural scenes

Alan E. Robinson, J. Triesch, 2008, Advances in cognitive psychology.

Neural oligarchy: how synaptic plasticity breeds neurons with extreme influence

Florence I. Kleberg, J. Triesch, 2018, bioRxiv.

Chapter 16 : Origins of shared attention in human infants

Jochen Triesch, Gedeon O. Deák, J. Triesch, 2005 .

Competition for synaptic building blocks shapes synaptic plasticity

Anh Duong Vo, J. Triesch, Anne-Sophie Hafner, 2017, bioRxiv.

Competition for synaptic building blocks shapes synaptic plasticity

Anh Duong Vo, J. Triesch, Anne-Sophie Hafner, 2018, bioRxiv.

Plasticity-Driven Self-Organization under Topological Constraints Accounts for Non-Random Features of Cortical Synaptic Wiring

J. Triesch, Daniel Miner, 2015, bioRxiv.

The emergence of gaze following Gaze following : why ( not ) learn it ?

C. Teuscher, J. Triesch, G. Deák, 2006 .

Building a Model of Infant Social Interaction

Jochen Triesch, Joshua M. Lewis, Hector Jasso, 2010 .

Ongoing brain rhythms shape I-wave properties in a computational model

J. Triesch, N. Schaworonkow, 2017, Brain Stimulation.

Dynamic Coordination in the Brain

Karl J. Friston, Peter König, Angus W. Macdonald, 2010 .

Nonrandom network connectivity comes in pairs

J. Triesch, Felix Z Hoffmann, 2016, Network Neuroscience.

Embodied vision for learning object representations

J. Triesch, Céline Teulière, A. Aubret, 2022, ArXiv.

Precise Synaptic Efficacy Alignment Suggests Potentiation Dominated Learning

J. Triesch, Daniel Miner, Christoph Hartmann, 2016, Front. Neural Circuits.

Simulation of electromyographic recordings following transcranial magnetic stimulation.

B. Hordacre, Bahar Moezzi, M. Ridding, 2018, Journal of neurophysiology.

Report on the IEEE 8th International Conference on Development and Learning (ICDL-2009)

Zhengyou Zhang, Jochen Triesch, Zhengyou Zhang, 2009, IEEE Transactions on Autonomous Mental Development.

The development of active binocular vision under normal and alternate rearing conditions.

Bertram E. Shi, J. Triesch, M. Fronius, 2021, eLife.

A Multi-Scale Computational Model of the effects of TMS on Motor Cortex

J. Triesch, S. Jun, H. Seo, 2016, bioRxiv.

A multi-scale computational model of the effects of TMS on motor cortex.

J. Triesch, S. Jun, H. Seo, 2017, F1000Research.

Degeneracy in epilepsy: Multiple Routes to Hyperexcitable Brain Circuits and their Repair

J. Triesch, Rishikesh Narayanan, P. Jedlicka, 2022, 2206.09621.

Personalized translational epilepsy research — Novel approaches and future perspectives Part I: Clinical and network analysis approaches

C. Freitag, R. Deichmann, J. Triesch, 2017, Epilepsy & Behavior.

Personalized translational epilepsy research — Novel approaches and future perspectives Part II: Experimental and translational approaches

C. Freitag, R. Deichmann, J. Triesch, 2017, Epilepsy & Behavior.

Time to augment contrastive learning

J. Triesch, Céline Teulière, A. Aubret, 2022, 2207.13492.

Coordination in Sensory Integration

Jochen Triesch, Constantin A. Rothkopf, Thomas H. Weisswange, 2010 .

Biological complexity facilitates tuning of the neuronal parameter space

J. Triesch, A. Gidon, P. Jedlicka, 2021, bioRxiv.

A mathematical model of neuroimmune interactions in epileptogenesis for discovering treatment strategies

J. Triesch, A. Vezzani, P. Jedlicka, 2022, iScience.

Learning torsional eye movements through active efficient coding

Bertram E. Shi, J. Triesch, Chong Zhang, 2022, Neuromorph. Comput. Eng..

Degeneracy in epilepsy: multiple routes to hyperexcitable brain circuits and their repair

Tristan M. Stöber, J. Triesch, Rishikesh Narayanan, 2022, Communications biology.

Sequence and Circle: Exploring the Relationship Between Patches

J. Triesch, Zhengyang Yu, 2022, 2210.09871.

Diagnosing Epileptogenesis with Deep Anomaly Detection

J. Triesch, F. Rosenow, S. Bauer, 2022, Machine Learning in Health Care.

A reinforcement learning model of social referencing

J. Triesch, H. Jasso, G. Deák, 2008, 2008 7th IEEE International Conference on Development and Learning.

Using transfer entropy to measure the patterns of information flow though cortex: application to MEG recordings from a visual Simon task

G. Pipa, J. Triesch, M. Wibral, 2009, BMC Neuroscience.

Toddler-inspired embodied vision for learning object representations

J. Triesch, Céline Teulière, A. Aubret, 2022, 2022 IEEE International Conference on Development and Learning (ICDL).

Time to augment self-supervised visual representation learning

J. Triesch, Céline Teulière, A. Aubret, 2022, 2207.13492.

How to learn with intentional mistakes: NoisyEnsembles to overcome poor tissue quality for deep learning in computational pathology

J. Triesch, P. Wild, Paul K. Ziegler, 2022, Frontiers in Medicine.

Toddler-inspired learning induces hierarchical object representations

J. Triesch, Céline Teulière, A. Aubret, 2022 .

Fully automated detection of dendritic spines in 3D live cell imaging data using deep convolutional neural networks

M. Kaschube, J. Triesch, S. Rumpel, 2023, bioRxiv.

MIMo: A Multi-Modal Infant Model for Studying Cognitive Development in Humans and AIs

J. Triesch, A. Aubret, M. Ernst, 2022, 2022 IEEE International Conference on Development and Learning (ICDL).

Active head rolls enhance sonar-based auditory localization performance

Lakshitha P. Wijesinghe, Melville J. Wohlgemuth, Bertram E. Shi, 2021, PLoS Comput. Biol..

Learning Abstract Representations Through Lossy Compression of Multimodal Signals

G. Baldassarre, J. Triesch, Charles Wilmot, 2021, IEEE Transactions on Cognitive and Developmental Systems.

The development of active binocular vision under normal and alternate rearing conditions

Jochen Triesch, Bertram E. Shi, Johann Schneider, 2020, bioRxiv.

Active efficient coding explains the development of binocular vision and its failure in amblyopia

Jochen Triesch, Bertram E. Shi, Samuel Eckmann, 2019, Proceedings of the National Academy of Sciences.

An Active Efficient Coding Model of Binocular Vision Development Under Normal and Abnormal Rearing Conditions

Jochen Triesch, Bertram E. Shi, Lukas Klimmasch, 2018, SAB.

Learning of Active Binocular Vision in a Biomechanical Model of the Oculomotor System

Jochen Triesch, Bertram E. Shi, Lukas Klimmasch, 2017, bioRxiv.

Learning multisensory neural controllers for robot arm tracking

Jochen Triesch, Marco Antonelli, Bertram E. Shi, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Self-calibrating active depth perception via motion parallax

Nak Young Chong, Jochen Triesch, Sungmoon Jeong, 2016, 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).

Active maintenance of binocular correspondence leads to orientation alignment of visual receptive fields

Jochen Triesch, Bertram E. Shi, Thusitha N. Chandrapala, 2015, 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).

Autonomous learning of smooth pursuit and vergence through active efficient coding

Jochen Triesch, Bertram E. Shi, Tadmeri Narayan Vikram, 2014, 4th International Conference on Development and Learning and on Epigenetic Robotics.

A unified model of the joint development of disparity selectivity and vergence control

Yu Zhao, Jochen Triesch, Bertram E. Shi, 2012, 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL).

Independent Component Analysis in Spiking Neurons

Jochen Triesch, Prashant Joshi, Cristina Savin, 2010, PLoS Comput. Biol..

Implementations and Implications of Foveated Vision

Jochen Triesch, Cornelius Weber, C. Weber, 2009 .

A Sparse Generative Model of V1 Simple Cells with Intrinsic Plasticity

Cornelius Weber, Jochen Triesch, C. Weber, 2008, Neural Computation.

Non-commercial Research and Educational Use including without Limitation Use in Instruction at Your Institution, Sending It to Specific Colleagues That You Know, and Providing a Copy to Your Institution's Administrator. All Other Uses, Reproduction and Distribution, including without Limitation Comm

Jochen Triesch, Nicholas Butko, J. Triesch, 2022 .

Exploring the role of intrinsic plasticity for the learning of sensory representations

Jochen Triesch, Nicholas Butko, J. Triesch, 2006, ESANN.

Bridging structure and function: A model of sequence learning and prediction in primary visual cortex

Jochen Triesch, Christian Klos, Daniel Miner, 2018, PLoS Comput. Biol..

Slicing, sampling, and distance-dependent effects affect network measures in simulated cortical circuit structures

Jochen Triesch, Daniel C. Miner, J. Triesch, 2014, Front. Neuroanat..

A unifying theory of synaptic long-term plasticity based on a sparse distribution of synaptic strength

Jochen Triesch, Daniel Krieg, J. Triesch, 2014, Front. Synaptic Neurosci..

2007 Special Issue: Fading memory and time series prediction in recurrent networks with different forms of plasticity

Gordon Pipa, Jochen Triesch, Andreea Lazar, 2007 .

Seeing [u] aids vocal learning: Babbling and imitation of vowels using a 3D vocal tract model, reinforcement learning, and reservoir computing

Jochen Triesch, Peter Birkholz, Bernd J. Kröger, 2015, 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).

Goal-directed feature learning

Cornelius Weber, Jochen Triesch, C. Weber, 2009, 2009 International Joint Conference on Neural Networks.

From Exploration to Planning

Cornelius Weber, Jochen Triesch, C. Weber, 2008, ICANN.

Competition for a limited supply of synaptic building blocks predicts multiplicative synaptic normalization and heterosynaptic plasticity

Jochen Triesch, Anne-Sophie Hafner, J. Triesch, 2017 .

A NeuroRobotic Model of Infant Looking Behavior

J. Triesch, Richard Veale, D. Migliore, 2011 .

EEG-triggered TMS reveals stronger brain state-dependent modulation of motor evoked potentials at weaker stimulation intensities

Jochen Triesch, Christoph Zrenner, Ulf Ziemann, 2018, Brain Stimulation.

Computational Modeling of Multisensory Object Perception

Jochen Triesch, Constantin A. Rothkopf, Thomas H. Weisswange, 2010 .

What’s “up”? Working memory contents can bias orientation processing

Jochen Triesch, Lisa Scocchia, Guido Marco Cicchini, 2013, Vision Research.

Emergence of Mirror Neurons in a Model of Gaze Following

Jochen Triesch, Hector Jasso, Gedeon O. Deák, 2007, Adapt. Behav..

CIPER: Combining Invariant and Equivariant Representations Using Contrastive and Predictive Learning

J. Triesch, Xia Xu, 2023, 2302.02330.

Hierarchical sensor data fusion by probabilistic cue integration for robust 3D object tracking

J. Triesch, J. Denzler, O. Kahler, 2004, 6th IEEE Southwest Symposium on Image Analysis and Interpretation, 2004..

EEG microstate periodicity explained by rotating phase patterns of resting-state alpha oscillations

J. Triesch, H. Laufs, F. Rosenow, 2020, NeuroImage.

From Animals to Animats 15

John Hallam, Jochen Triesch, Xiaofeng Xiong, 2018, Lecture Notes in Computer Science.

Neuronal Tension May Co-Shape V 1 Orientation Maps

C. Weber, J. Triesch, 2022 .

Learning to Attend - From Bottom-Up to Top-Down

Jochen Triesch, Hector Jasso, J. Triesch, 2008, WAPCV.

A Virtual Reality Platform for Modeling Cognitive Development

Jochen Triesch, Hector Jasso, J. Triesch, 2005, Biomimetic Neural Learning for Intelligent Robots.

25th Annual Computational Neuroscience Meeting: CNS-2016

Morten L. Kringelbach, Majid Nili Ahmadabadi, Anders M. Dale, 2016, BMC Neuroscience.

Classification of hand postures against complex backgrounds using elastic graph matching

Jochen Triesch, Christoph von der Malsburg, C. Malsburg, 2002, Image Vis. Comput..

Robust classification of hand postures against complex backgrounds

Jochen Triesch, Christoph von der Malsburg, C. Malsburg, 1996, Proceedings of the Second International Conference on Automatic Face and Gesture Recognition.

A Model of Brain Folding Based on Strong Local and Weak Long-Range Connectivity Requirements.

Jochen Triesch, Hermann Cuntz, Moritz Groden, 2019, Cerebral cortex.

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3

Silvestro Micera, Johannes Schemmel, Szabolcs Káli, 2017, BMC Neuroscience.

Synergies between Intrinsic and Synaptic Plasticity in Individual Model Neurons

Jochen Triesch, J. Triesch, 2004, NIPS.

A possible representation of reward in the learning of saccades

Cornelius Weber, Jochen Triesch, C. Weber, 2006 .

Reinforcement Learning Embedded in Brains and Robots

Stefan Wermter, Mark Elshaw, Jochen Triesch, 2008 .

7 Reinforcement Learning Embedded in Brains and Robots

C. Weber, J. Triesch, S. Wermter, 2008 .

Learning the Optimal Control of Coordinated Eye and Head Movements

Cornelius Weber, Jochen Triesch, Sohrab Saeb, 2011, PLoS Comput. Biol..

Imitation learning based on an intrinsic motivation mechanism for efficient coding

Jochen Triesch, J. Triesch, 2013, Front. Psychol..

Vision based robotic gesture recognition

Jochen Triesch, J. Triesch, 1999 .

Multiple Instance Learning for Brain Tumor Detection from Magnetic Resonance Spectroscopy Data pdf

Gerhard Kurz, Jochen Triesch, Elke Hattingen, 2021, ArXiv.

Human-Expert-Level Brain Tumor Detection Using Deep Learning with Data Distillation And Augmentation pdf

Jochen Triesch, Diyuan Lu, Nenad Polomac, 2020, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A model of human motor sequence learning explains facilitation and interference effects based on spike-timing dependent plasticity

Quan Wang, Jochen Triesch, Constantin A. Rothkopf, 2017, PLoS Comput. Biol..

Understanding robustness in Random Boolean Networks

Janet Wiles, Jochen Triesch, Kai Willadsen, 2008, ALIFE.

A Model of TMS-induced I-waves in Motor Cortex

Jochen Triesch, Cătălin V. Rusu, Max Murakami, 2014, Brain Stimulation.

Robot End Effector Tracking Using Predictive Multisensory Integration

Jochen Triesch, Bertram E. Shi, Lakshitha P. Wijesinghe, 2018, Front. Neurorobot..

Goal-directed learning of features and forward models

Cornelius Weber, Jochen Triesch, Sohrab Saeb, 2009, Neural Networks.

Learning gaze following in space: a computational model

Jochen Triesch, Boris Lau, J. Triesch, 2004 .

A phenomenological model of neuroimmune interactions in epileptogenesis

J. Triesch, A. Vezzani, P. Jedlicka, 2021 .

Spike timing-based unsupervised learning of orientation, disparity, and motion representations in a spiking neural network*

Jochen Triesch, Céline Teulière, Thomas Barbier, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Staging Epileptogenesis with Deep Neural Networks

Jochen Triesch, Diyuan Lu, Sebastian Bauer, 2020, BCB.

A Deep Residual Neural Network Based Framework for Epileptogenesis Detection in a Rodent Model with Single-Channel EEG Recordings

Jochen Triesch, Diyuan Lu, Sebastian Bauer, 2019, 2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI).

Toward a Unified Probabilistic Framework for Object Recognition and Segmentation

Jochen Triesch, Erik Murphy-Chutorian, Kuang-chih Lee, 2005, ISVC.

Criticality meets learning: Criticality signatures in a self-organizing recurrent neural network

Jochen Triesch, Viola Priesemann, Bruno Del Papa, 2017, PloS one.

SORN: A Self-Organizing Recurrent Neural Network

Gordon Pipa, Jochen Triesch, Andreea Lazar, 2009, Front. Comput. Neurosci..

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

Christof Teuscher, Jochen Triesch, C. Teuscher, 2007, Neurocomputing.

Robust development of synfire chains from multiple plasticity mechanisms

Jochen Triesch, Pengsheng Zheng, J. Triesch, 2014, Front. Comput. Neurosci..

Engineering Sciences (Aerospace Engineering)

Robert R. Bitmead, Jochen Triesch, Emanuel Todorov, 2006 .

Neural Control of Actions Involving Different Coordinate Systems

Stefan Wermter, Mark Elshaw, Jochen Triesch, 2007 .

Sequence and Circle: Exploring the Relationship Between Patches

J. Triesch, Zhengyang Yu, 2022, ArXiv.

Saccade contingent updating in virtual reality

Jochen Triesch, Dana H. Ballard, Mary M. Hayhoe, 2002, ETRA.

Can reinforcement learning explain the development of causal inference in multisensory integration?

Jochen Triesch, Tobias Rodemann, Constantin A Rothkopf, 2009, 2009 IEEE 8th International Conference on Development and Learning.

Recurrent Connections Aid Occluded Object Recognition by Discounting Occluders pdf

Jochen Triesch, Thomas Burwick, Markus Roland Ernst, 2019, ICANN.

Scalable reinforcement learning through hierarchical decompositions for weakly-coupled problems

Jochen Triesch, Constantin A. Rothkopf, Hazem Toutounji, 2011, 2011 IEEE International Conference on Development and Learning (ICDL).

Optimizing Generic Neural Microcircuits through Reward Modulated STDP

Jochen Triesch, Prashant Joshi, J. Triesch, 2009, ICANN.

Differential effects of visual attention and working memory on binocular rivalry.

Jochen Triesch, Matteo Valsecchi, Karl R Gegenfurtner, 2014, Journal of vision.

Object perception is selectively slowed by a visually similar working memory load.

Alan E. Robinson, J. Triesch, Alberto Manzi, 2008, Journal of vision.

The dynamic connectome

J. Triesch, S. Rumpel, 2016, e-Neuroforum.

Plasticity-Driven Self-Organization under Topological Constraints Accounts for Non-random Features of Cortical Synaptic Wiring

Jochen Triesch, Daniel Miner, J. Triesch, 2015, bioRxiv.

Network Self-Organization Explains the Statistics and Dynamics of Synaptic Connection Strengths in Cortex

Christos Dimitrakakis, Jochen Triesch, Pengsheng Zheng, 2013, PLoS Comput. Biol..

OpenEyeSim: A biomechanical model for simulation of closed-loop visual perception.

Jochen Triesch, Alexander Priamikov, Bertram Shi, 2016, Journal of vision.

Synaptic logistics: Competing over shared resources

J. Triesch, Anne-Sophie Hafner, 2023, Molecular and Cellular Neuroscience.

Ongoing brain rhythms shape I-wave properties in a computational model

Jochen Triesch, Natalie Schaworonkow, J. Triesch, 2017, Brain Stimulation.

Self-calibrating smooth pursuit through active efficient coding

Yu Zhao, Jochen Triesch, Bertram E. Shi, 2015, Robotics Auton. Syst..

A System for Person-Independent Hand Posture Recognition against Complex Backgrounds

Jochen Triesch, Christoph von der Malsburg, C. Malsburg, 2001, IEEE Trans. Pattern Anal. Mach. Intell..

Emergence of task-dependent representations in working memory circuits

Jochen Triesch, Cristina Savin, J. Triesch, 2014, Front. Comput. Neurosci..

4 Experimental Predictions 3 a Model of Binding Binding | a Proposed Experiment and a Model

C. von der Malsburg, K. Schulten, W. Seelen, 1996 .

Where’s the Noise? Key Features of Spontaneous Activity and Neural Variability Arise through Learning in a Deterministic Network

Jochen Triesch, Bernhard Nessler, Christoph Hartmann, 2015, PLoS Comput. Biol..

A Unified Account of Gaze Following

Jochen Triesch, Joshua M. Lewis, Hector Jasso, 2012, IEEE Transactions on Autonomous Mental Development.

Vision in natural and virtual environments

Jochen Triesch, Hiroyuki Shinoda, Dana H. Ballard, 2002, ETRA.

Power spectra of the natural input to the visual system

J. Triesch, D. Pamplona, C. A. Rothkopf, 2013, Vision Research.

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, A. Cangelosi, 2011, IEEE Transactions on Autonomous Mental Development.

Residual Deep Convolutional Neural Network for EEG Signal Classification in Epilepsy pdf

Jochen Triesch, Diyuan Lu, J. Triesch, 2019, ArXiv.

Autonomous learning of cyclovergence control based on Active Efficient Coding

Jochen Triesch, Bertram E. Shi, Qingpeng Zhu, 2018, 2018 Joint IEEE 8th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).

Robust active binocular vision through intrinsically motivated learning

Yu Zhao, Jochen Triesch, Bertram E. Shi, 2013, Front. Neurorobot..

The role of contrast sensitivity in the development of binocular vision: A computational study

Jochen Triesch, Bertram E. Shi, Alexander Priamikov, 2015, 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).

Transient visual representations: a change blindness approach

Jochen Triesch, Dana H. Ballard, Mary Hayhoe, 2010 .

Towards Early Diagnosis of Epilepsy from EEG Data

J. Triesch, F. Rosenow, S. Bauer, 2020, MLHC.

Joint Learning of Binocularly Driven Saccades and Vergence by Active Efficient Coding

Jochen Triesch, Bertram E. Shi, Qingpeng Zhu, 2017, Front. Neurorobot..

Design of an anthropomorphic robot head for studying autonomous development and learning

Jochen Triesch, George York, Erik Murphy-Chutorian, 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

Editorial: Linking experimental and computational connectomics

Alexander Peyser, Jochen Triesch, Abigail Morrison, 2019, Network Neuroscience.

To Model or Not to Model? A Dialogue on the Role of Computational Modeling in Developmental Science.

J. Triesch, J. Spencer, G. Deák, 2010, Child development perspectives.

A Dialogue on the Role of Computational Modeling in Developmental Science:To Model or Not to Model?

J. Triesch, J. Spencer, G. Deák, 2010 .

Contrastive Learning Through Time

J. Triesch, Felix Schneider, Zhengyang Yu, 2021 .

Learning of binocular fixations using anomaly detection with deep reinforcement learning

Thierry Chateau, Jochen Triesch, Céline Teulière, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

PymoNNto: A Flexible Modular Toolbox for Designing Brain-Inspired Neural Networks

Jochen Triesch, Marius N. Vieth, Marius Vieth, 2021, Frontiers in Neuroinformatics.

Learning Hierarchical Integration of Foveal and Peripheral Vision for Vergence Control by Active Efficient Coding

Jochen Triesch, Bertram E. Shi, Zhetuo Zhao, 2018, SAB.

Generalization and Interference in Human Motor Control

Christos Dimitrakakis, Jochen Triesch, Luca Lonini, 2013, Computational and Robotic Models of the Hierarchical Organization of Behavior.

Computational and Robotic Models of the Hierarchical Organization of Behavior

Christos Dimitrakakis, Jochen Triesch, Luca Lonini, 2012 .

A bio-inspired attention model of anticipation in gaze-contingency experiments with infants

Jochen Triesch, Daniele Caligiore, Gianluca Baldassarre, 2012, 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL).

A developmental increase of inhibition promotes the emergence of hippocampal ripples

Tristan M. Stöber, J. Triesch, I. Hanganu-Opatz, 2023, bioRxiv.

Modularity and Specialized Learning: Reexamining Behavior-Based Artificial Intelligence

Jochen Triesch, Joanna J. Bryson, Tony Jebara, 2004 .

REAL-X -- Robot open-Ended Autonomous Learning Architectures: Achieving Truly End-to-End Sensorimotor Autonomous Learning Systems

J. Triesch, Emilio Cartoni, Frankfurt Institute for Advanced Studies, 2020, 2011.13880.

Key features of neural variability emerge from self-organized sequence learning in a deterministic neural network

J. Triesch, Andreea Lazar, Christoph Hartmann, 2015, BMC Neuroscience.

Where’s the noise? Key features of neuronal variability and inference emerge from self-organized learning

Jochen Triesch, Andreea Lazar, Christoph Hartmann, 2014, bioRxiv.

On the utility of sparse neural representations in adaptive behaving agents

Jochen Triesch, Bertram E. Shi, Thusitha N. Chandrapala, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).