Hauptinhalt

Veröffentlichungen

Patente

Patent Jahr

D. Velychko and D. Endres. Eine Methode und Algorithmus zur reliablen Schätzung von Pose und Skelett in Bewegungsaufzeichnungssystemen mit aktiven Markern. pending, EP18194701.1, Sep. 2018.

BibTeX

2018

C. Coetzee and D. Endres et al. System, method and apparatus for detecting Malaria. Filed, Mar. 2018.

BibTeX

2018

Sammelwerke

Volume Jahr

D. Endres, M. Alam, and D. Şotropa, editors. Graph-Based Representation and Reasoning, volume 24 of International Conference on Conceptual Structures. Springer, 2018.

DOI: 10.1007%2F978-3-030-23182-8

2019 

 P. Chapman, D. Endres, and N. Pernelle, editors. Graph-Based Representation and Reasoning, volume 23 of International Conference on Conceptual Structures. Springer, 2018.

DOI: 10.1007/978-3-319-91379-7 BibTeX

2018

Buchkapitel

Kapitel Jahr

Mukovskiy, A.; Taubert, N.; Endres, D.; Vassallo, C.; Naveau, M.; Stasse, O.; Souères, P. & Giese, M. A.
Laumond, J.-P.; Mansard, N.; Lasserre, J.-B. & et al. , J. L. (Eds.)
Modeling of coordinated human body motion by learning of structured dynamic representations
Geometric and Numerical Foundations of Movements, Springer, 2017 , 117 , 237-268

DOI: 10.1007/978-3-319-51547-2 BibTeX

2017

Endres, D.; Chiovetto, E. & Giese, M.
Laumond, J. & Naoko, A. (Eds.)
Bayesian approaches for learning of primitive-based compact representations of complex human activities
Dance notation and robot motion, Springer, 2015 , 117-137

DOI: 10.1007/978-3-319-25739-6 6 BibTeX PDF

2015

Artikel in referierten Journals

Artikel Jahr

Stolz, C.; Endres, D. & Müller, E.
Threat-Conditioned contexts modulate the late positive potential to faces -- a mobile EEG/virtual reality study.
Psychophysiology, 2018. in press.

2018

Velychko, D.; Knopp, B. & Endres, D.
Making the Coupled Gaussian Process Dynamical Model Modular and Scalable with Variational Approximations.
Entropy, 2018 , 20

DOI: 10.3390/e20100724 BibTeX PDF

2018

Junker, M.; Endres, D.; Sun, Z.; Dicke, P.; Giese, M. & Thier, P.
Learning from the past: A reverberation of past errors in the cerebellar climbing fiber signal.
PLoS Biology, 2018 , 16 , e2004344

DOI: 10.1371/journal.pbio.2004344 BibTeX PDF

2018

Chiovetto, E.; Curio, C.; Endres*, D. & Giese*, M.
Perceptual integration of kinematic components in the recognition of emotional facial expressions.
Journal of Vision, 2018 , 18 , 13

DOI: 10.1167/18.4.13 BibTeX PDF

2018

Quaglio, P.; Yegenoglu, A.; Torre, E.; Endres*, D. & Grün*, S.
Detection and Evaluation of Spatio-Temporal Spike Patterns in Massively Parallel Spike Train Data with SPADE.
Frontiers in Computational Neuroscience, 2017 , 11 , 41

DOI: 10.3389/fncom.2017.00041 BibTeX PDF

2017

Clever, D.; Harant, M.; Mombaur, K.; Naveau, M.; Stasse, O. & Endres, D.
COCoMoPL: A Novel Approach for Humanoid Walking Generation Combining Optimal Control, Movement Primitives and Learning and its Transfer to the Real Robot HRP-2.
IEEE Robotics and Automation Letters, 2017 , 2 , 977-984

DOI: 10.1109/LRA.2017.2657000 BibTeX PDF

2017

Hechler, T.; Endres, D. & Thorwart, A.
Why Harmless Sensations Might Hurt in Individuals with Chronic Pain: About Heightened Prediction and Perception of Pain in the Mind.
Frontiers in Psychology, 2016 , 7 , 1638

DOI: 10.3389/fpsyg.2016.01638 BibTeX PDF

2016

Clever, D.; Harant, M.; Koch, K. H.; Mombaur, K. & Endres, D.
A novel approach for the generation of complex humanoid walking sequences based on a combination of optimal control and learning of movement primitives.
Robotics and Autonomous Systems, 2016 , 83 , 287-298

DOI: 10.1016/j.robot.2016.06.001 BibTeX

2016

Doolittle, E.; Gingras, B.; Endres, D. & Fitch, W.
Overtone-based pitch selection in hermit thrush song: Unexpected convergence with scale construction in human music.
Proceedings of the National Academy of Sciences of the United States of America, 2014 , 111 , 16616-16621

DOI: 10.1073/pnas.1406023111 BibTeX PDF

2014

Endres, D.; Chiovetto, E. & Giese, M.
Model selection for the extraction of movement primitives.
Frontiers in Computational Neuroscience, 2013 , 7 , 185

DOI: 10.3389/fncom.2013.00185 BibTeX PDF

2013

Endres, D.; Meirovitch, Y.; Flash, T. & Giese, M.
Segmenting sign language into motor primitives with Bayesian binning.
Frontiers in Computational Neuroscience, 2013 , 7 , 68

DOI: 10.3389/fncom.2013.00185 BibTeX PDF

2013

Endres, D.; Christensen, A.; Omlor, L. & Giese, M. A.
Emulating human observers with Bayesian binning: segmentation of action streams.
ACM Transactions on Applied Perception (TAP), 2011 , 8 , 16:1-12

DOI: 10.1145/2010325.2010326 BibTeX PDF

2011

Endres, D.; Földiák, P. & Priss, U.
An Application of Formal Concept Analysis to Semantic Neural Decoding.
Annals of Mathematics and Artificial Intelligence, 2010 , 57 , 233-248

DOI: 10.1007/s10472-010-9196-8 BibTeX

2010

Endres, D.; Schindelin, J.; Földiák, P. & Oram, M.
Modelling spike trains and determining latencies with Bayesian binning.
Journal of Physiology (Paris), 2010 , 104

DOI: 10.1016/j.jphysparis.2009.11.015 BibTeX

2010

Endres, D. & Oram, M.
Feature extraction from spike trains with Bayesian binning: 'latency is where the signal starts'.
Journal of Computational Neuroscience, 2010 , 29 , 149-169

DOI: 10.1007/s10827-009-0157-3 BibTeX PDF

2010

Földiák, P. & Endres, D.
Sparse coding.
Scholarpedia, 2008 , 3 , 2984

DOI: 10.4249/scholarpedia.2984 BibTeX PDF

2008

Endres, D. & Földiák, P.
Exact Bayesian Bin Classification: a fast alternative to Bayesian Classification and its application to neural response analysis.
Journal of Computational Neuroscience, 2008 , 24 , 24-35

DOI: 10.1007/s10827-007-0039-5 BibTeX PDF

2008

Endres, D. & Földiák, P.
Bayesian bin distribution inference and mutual information.
IEEE Transactions on Information Theory, 2005 , 51 , 3766-3779

DOI: 10.1109/TIT.2005.856954 BibTeX PDF

2005

Endres, D. & Schindelin, J.
A new metric for probability distributions.
IEEE Transactions on Information Theory, 2002 , 49 , 1858-1860

DOI: 10.1109/TIT.2003.813506 BibTeX PDF

2002

Endres, D. & Riegler, P.
Learning dynamics on different timescales.
Journal of Physics A: Mathematical and General, 1999 , 32 , 8655-8663

DOI: 10.1088/0305-4470/32/49/306 BibTeX

1999

Artikel bei referierten Konferenzen

Artikel Jahr

Schubert, M. & Endres, D.
Empirically evaluating the similarty model by Geist, Lengnink and Wille.
Proceedings of ICCS 2018, 2018 , 88-95

DOI: 10.1007/978-3-319-91379-7 BibTeX

2018

Velychko, D.; Knopp, B. & Endres, D.
The Coupled Variational Gaussian Process Dynamical Model
Proceedings of ICANN 2017, 2017 , 291-299

DOI: 10.1007/978-3-319-68600-4 34 BibTeX

2017

Yegenoglu, A.; Quaglio, P.; Torre, E.; Grün, S. & Endres, D.
Exploring the Usefulness of Formal Concept Analysis for Robust Detection of Spatio-Temporal Spike Patterns in Massively Parallel Spike Trains.
Proceedings of ICCS 2016, Springer, 2016 , 3-16
BEST PAPER AWARD

DOI: 10.1007/978-3-319-40985-6 1 BibTeX

2016

Koch, K.; Clever, D.; Mombauer, K. & Endres, D.
Learning Movement Primitives from Optimal and Dynamically Feasible Trajectories for Humanoid Walking.
Proceedings of the IEEE-RAS International Conference on Humanoid Robotics (Humanoids 2015), 2015 , 866-873

DOI: 10.1109/HUMANOIDS.2015.7363463 BibTeX

2015

Velychko, D. & Endres, D.
The variational Gaussian process dynamical model.
Proceedings of the AABI Workshop, NIPS 2015, 2015 , 1-6

BibTeX

2015

Velychko, D.; Endres, D.; Taubert, N. & Giese, M.
Coupling Gaussian Process Dynamical Models with Product-of-Experts Kernels.
Proceedings of the 24th International Conference on Artificial Neural Networks, LNCS 8681, Springer, 2014 , 603-610

DOI: 10.1007/978-3-319-11179-7 76 BibTeX PDF

2014

Taubert, N.; Löffler, M.; Ludolph, N.; Christensen, A.; Endres, D. & Giese, M.
A virtual reality setup for controllable, stylized real-time interactions between humans and avatars with sparse Gaussian process dynamical models.
Proceedings of the ACM Symposium on Applied Perception, 2013 , 41-44

DOI: 10.1145/2492494.2492515 BibTeX PDF

2013

Endres, D.; Adam, R.; Giese, M. & Noppeney, U.
Understanding the Semantic Structure of Human fMRI Brain Recordings With Formal Concept Analysis.
Proceedings of the 10h International Conference on Formal Concept Analysis (ICFCA 2012), LNAI 7278, Springer, 2012 , 96-111

DOI: 10.1007/978-3-642-29892-9_13 BibTeX PDF

2012

Taubert, N.; Christensen, A.; Endres, D. & Giese, M.
Online simulation of emotional interactive behaviors with hierarchical Gaussian process dynamical models.
Proceedings of the ACM Symposium on Applied Perception, ACM, 2012 , 25-32

DOI: 10.1145/2338676.2338682 BibTeX PDF

2012

Endres, D.; Neumann, H.; Kolesnik, M. & Giese, M.
Hooligan Detection: the Effects of Saliency and Expert Knowledge.
Proceedings of the 4th International Conference for Imaging in Crime Detection and Prevention (ICDP 2011), IET, 2011 , 1-6
BEST PAPER AWARD

DOI: 10.1049/ic.2011.0131 BibTeX

2011

Endres, D.; Christensen, A.; Omlor, L. & Giese, M. A.
Edelkamp, S. & Bach, J. (Eds.)
Segmentation of action streams: human observers vs. Bayesian binning.
KI 2011, LNAI 7006, Springer, 2011 , 75-86
BEST APPLIED PAPER AWARD

DOI: 10.1007/978-3-642-24455-1 7 BibTeX PDF

2011

Oberhoff, D.; Endres, D.; Giese, M. & Kolesnik, M.
Edelkamp, S. & Bach, J. (Eds.)
Gates for Handling Occlusion in Bayesian Models of Images.
KI2011, LNAI 7006, Springer, 2011 , 228-232

DOI: 10.1007/978-3-642-24455-1 21 BibTeX PDF

2011

Taubert, N.; Endres, D.; Christensen, A. & Giese, M.
Edelkamp, S. & Bach, J. (Eds.)
Shaking hands in latent space: modeling emotional interactions with Gaussian process latent variable models.
KI2011, LNAI 7006, Springer, 2011 , 330-334

DOI: 10.1007/978-3-642-24455-1_32 BibTeX

2011

Endres, D. & Földiák, P.
Koller, D.; Schuurmans, D.; Bengio, Y. & Bottou, L. (Eds.)
Interpreting the neural code with Formal Concept Analysis.
Advances in Neural Information Processing Systems 21, 2009 , 425-432

URL:  http://books.nips.cc/nips21.html BibTeX

2009

Endres, D.; Földiák, P. & Priss, U.
An Application of Formal Concept Analysis to Neural Decoding.
Proceedings of the Sixth International Conference on Concept Lattices and Their Applications (CLA2008), 2009

URL: http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-433/ BibTeX PDF

2009

Endres, D.; Oram, M.; Schindelin, J. & Földiák, P.
Platt, J.; Koller, D.; Singer, Y. & Roweis, S. (Eds.)
Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms.
Advances in Neural Information Processing Systems 20, 2008 , 393-400

URL: http://books.nips.cc/nips20.html BibTeX PDF

2008

Endres, D. & Földiák, P.
Quadratic programming for learning sparse codes.
Proceedings of the ninth international conference on artificial neural networks (ICANN99), IEE, IEE Conference Publication No. 470. London: Institution of Electrical Engineers, 1999 , 2 , 593-596

BibTeX PDF

1999

Preprints

Preprint Jahr

Binz, M., & Endres, D. 
Emulating Human Developmental Stages with Bayesian Neural Networks.
arXiv preprint, 2019.

arXiv: 1902.07579

2019 

Binz, M., & Endres, D. 
Where Do Human Heuristics Come From?
arXiv preprint, 2019.

arXiv: 1902.07580

2019

Zu Vorträgen eingeladen

Vortrag Jahr

Endres, D.
Humanoid Walking Generation - A Novel Approach Combining Optimal Control, Movement Primitives and Learning (COCoMoPL) and its transfer to the real robot HRP-2.
Presented at the IEEE International Conference on Simulation, Modeling, and Programming for Autonomous Robots, San Francisco, USA, 2016.

DOI: 10.1109/LRA.2017.2657000 BibTeX

2016

Endres, D.
Unifying movement primitives and optimal control for efficient humanoid gait planners -- validation on HRP-2.
Presented at the Faculty of Life Sciences, University of Pretoria, South Africa, 2016.

BibTeX

2016

D. Endres.
Unifying movement primitives and optimal control for efficient humanoid gait planners – validation in OpenHRP.
Presented at the Sports Science Colloquium, Univ. Giessen, Germany, 2016.

BibTeX

2016

D. Clever and D. Endres.
Unifying movement primitives and optimal control for efficient humanoid gait planners – validation in OpenHRP.
Tandem Talk, presented at the ORB Colloquium, Univ. Heidelberg, Germany, 2016.

BibTeX

2016

D. Endres. Making the relational structure of neural data explicit with Formal Concept Analysis.
Presented at the Frankfurt Institute for Advanced Studies, Germany, 2016.

BibTeX

2016

D. Endres.
Is human movement primitive perception Bayes-optimal?
Presented at the SFB-TRR 135/1 retreat at Rauischolzhausen Castle, Germany, 2015.

BibTeX

2015

D. Endres.
Making the relational structure of neural data explicit with Formal Concept Analysis.
Presented at the Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience Juelich Research Centre and JARA Juelich, Germany, 2015.

BibTeX

2015

D. Endres.
Making the latent category structure of fMRI data explicit with Formal Concept Analysis.
Presented at the Dagstuhl seminar 14381 on Neural-Symbolic Learning and Reasoning, Schloss Dagstuhl, Germany, 2014.

BibTeX

2014

D. Endres.
Complexity determination of movement primitive extraction models.
Tutorial at the KOROIBOT summer school, Heidelberg, Germany, 2014.

BibTex

2014

D. Endres and M.A. Giese.
Hooligan detection: the effects of saliency and expert knowledge.
Presented at the Graduiertenkolleg of the Institute of Neural Information Processing, University of Ulm, Germany, 2011.

DOI: 10.1049/ic.2011.0131 BibTeX PDF

2011

D. Endres, J. Schindelin, P. Földiák, and M. Oram.
Modelling spike trains with Bayesian binning: what do we gain by adding nonstationary rate distributions and refractory periods?
Presented at the Graduiertenkolleg of the Institute of Neural Information Processing, University of Ulm, Germany, 2011.

BibTeX

2011

D. Endres and P. Földiák.
Interpreting the neural code with Formal Concept Analysis.
Presented at the Max-Planck Institute for biological cybernetics, Tübingen, Germany, 2009.

BibTeX

2009

D. Endres, J. Schindelin, P. Földiák, and M. Oram.
Modelling spike trains with Bayesian binning: what do we gain by adding nonstationary rate distributions and refractory periods?
Presented as an internet seminar at the University of Newcastle, UK, 2009.

BibTeX

2009

D. Endres, J. Schindelin, P. Földiák, and M. Oram.
Feature extraction from spike trains with Bayesian binning: ’latency is where the signal starts’.
Presented at the DTC workshop of the Institute of Adaptive and Neural Computation, School of Informatics, University of Edinburgh, UK, 2009.

DOI: 10.1007/s10827-009-0157-3 BibTeX

2009

D. Endres and P. Földiák.
Interpreting the neural code with formal concept analysis.
Presented at the Hertie Institute for Clinical Brain Sciences, University Clinic Tübingen, Germany, 2008.

BibTeX PDF

2008

D. Endres, J. Schindelin, P. Földiák, and M. Oram.
Feature extraction from spike trains with Bayesian binning.
Presented at the spatiotemporal patterns and synfire chains workshop, Newcastle, UK, 2008.

BibTeX

2008

D. Endres and P. Földiák.
Estimating mutual information by Bayesian binning.
Presented at the workshop on Methods of Information Theory in Computational Neuroscience, Computational Neuronscience Meeting (CNS), Edinburgh, UK, 2006.

BibTeX PDF

2006

D. Endres.
Sparse coding in V1.
Presented at the University of Würzburg, Department of Physiology, Würzburg, Germany, 2006.

BibTex

2006

D. Endres.
Project time planning using cpm/pert methods.
Presented at the University of Würzburg, Department of Psychology, Würzburg, Germany, 2005.

BibTeX

2005

Vorträge

Vortrag Jahr

Endres, D.
Exploring the Usefulness of Formal Concept Analysis for Robust Detection of Spatio-Temporal Spike Patterns in Massively Parallel Spike Trains.
Presented at the International Conference on Conceptual Structures 2016, Annecy, France, 2016.

DOI: 10.1007/978-3-319-40985-6_1 BibTeX

2016

Endres, D.
Complexity Determination of Movement Primitive Extraction Models.
Presented at the 6th International Conference on Brain and Cognitive Engineering, Tübingen, Germany, 2014.

BibTex

2014

Endres, D.; Smilgin, A.; Dicke P.; Giese, M. & Thier, P.
Comparing models for relating spikes to kinematic parameters in motoneurons and Purkinje cells.
Presented at the 2014 Primate Neurobiology Conference, Tübingen, Germany, 2014.

BibTex

2014

Endres, D.; Adam, R.; Noppeney, U. & Giese, M.
Explicit coding in the brain: data-driven semantic analysis of human fMRI BOLD responses with Formal Concept Analysis.
Presented at the 35th European Conference on Visual Perception (ECVP 2012), Alghero, Italy, 2012.

DOI: 10.3389/conf.fncom.2012.55.00056 BibTeX

2012

Endres, D.; Adam, R.; Giese, M. & Noppeney, U.
Understanding the Semantic Structure of Human fMRI Brain Recordings With Formal Concept Analysis.
Presented at the 10h International Conference on Formal Concept Analysis (ICFCA 2012), Leuven, Belgium, 2012.

DOI: 10.1007/978-3-642-29892-9_13 BibTeX PDF

2012

Endres, D.; Neumann, H.; Kolesnik, M. & Giese, M.
Hooligan Detection: the Effects of Saliency and Expert Knowledge.
Presented at the 4th International Conference for Imaging in Crime Detection and Prevention (ICDP 2011), Kingston, UK, 2011.

DOI: 10.1049/ic.2011.0131 BibTeX

2011

Endres, D.; Christensen, A.; Omlor, L. & Giese, M.
Segmentation of action streams: human observers vs. Bayesian binning.
Presented at the 34th Annual German Conference on AI (KI2011), Berlin, Germany, 2011

DOI: 10.1007/978-3-642-24455-1_7 BibTeX

2011

Endres, D.; Oberhoff, D.; Giese, M. & Kolesnik, M.
Gates for Handling Occlusion in Bayesian Models of Images.
Presented at the 34th Annual German Conference on AI (KI2011), Berlin, Germany, 2011

BibTeX

2011

Taubert, N.; Endres, D.; Christensen, A. & Giese, M.
Shaking hands in latent space: modeling emotional interactions with Gaussian process latent variable models.
Presented at the 34th Annual German Conference on AI (KI2011), Berlin, Germany, 2011

BibTeX

2011

Endres, D.; Christensen, A.; Omlor, L. & Giese, M. A.
Emulating human observers with Bayesian binning: segmentation of action streams.
Presented at the Symposium on Applied Perception in Graphics and Visualization (APGV 2011), Toulouse, France, 2011

DOI: 10.1145/2010325.2010326 BibTeX PDF

2011

Beck, T.; Wilke, C.; Wirxel, B.; Endres, D.; Lindner, A. & Giese, M.
Me or not me: Causal Inference of Agency in goal-directed actions.
Presented at the VSS annual meeting, Naples, FL, USA, 2011

DOI: 10.1167/11.11.955 BibTeX

2011

Endres, D. & Földiák, P.
Interpreting the neural code with Formal Concept Analysis.
Presented as a poster spotlight at the Neural Information Processing Systems (NIPS) conference, Vancouver, British Columbia, Canada, 2008

BibTeX

2008

Endres, D. & Földiák, P.
Interpreting the neural code with Formal Concept Analysis: what does the structure of STSa neural responses tell us about faces?
Presented at the joint face lab meeting, University of St. Andrews, UK, 2008

BibTeX

2008

Endres, D.; Schindelin, J.; Földiák, P. & Oram, M.
Examining the joint neural code of latency and firing rate by Bayesian binning.
Presented at the Neural Coding meeting, Montevideo, Uruguay, 2007

BibTeX PDF

2007

Endres, D.; Priss, U.; Schindelin, J. & Földiák, P.
Sparse Formal Concept Analysis.
Presented at the International Conference on Knowledge Processing in Practice (KPP), Darmstadt, Germany, 2007

BibTeX

2007

Poster Präsentationen

Poster Jahr

Knopp, B.; Schubert, M. & Endres, D.
Influence of Segmentation on Movement Primitive Representations under Naturalistic Conditions.
Presented at KogWis 2019, Darmstadt, 2018
GK best poster award

BibTeX

2018

Müller, E.; Stolz, C. & Endres, D.
Threat-conditioned contexts modulate the late positive potential to neutral vs. angry avatars - a mobile-EEG/virtual reality study.
Presented at the Annual meeting of the Society for Psychophysical Research, Vienna, 2017

BibTeX

2017

Knopp, B.; Schubert, M. & Endres, D.
Temporal Movement Primitive Perception under Naturalistic Conditions.
Presented at the ACM Symposium for Applied Perception, Cottbus, 2017

BibTeX

2017

Stolz, C.; Endres, D. & Müller, E.
Contexts will tear us apart again: virtuelle furchtkonditionierte Kontexte modulieren das Late Positive Potential von Gesichtern.
Presented at the 43rd Conference Psychologie und Gehirn, Trier, 2017

BibTeX

2017

Fedorov, L.; Endres, D.; Vangeneuden, J. & Giese, M.
Neurodynamical model for the multi-stable perception of biological motion.
Journal of Vision, 2014 , 14(10) , 1007

DOI: 10.1167/14.10.1007 BibTeX PDF

2014

Chiovetto, E.; Endres, D.; d’Avella , A. & Giese, M.
Model selection for the extraction of EMG synergies.
Presented at the annual meeting of the Neural Control of Movement Society, NCM. Amsterdam, The Netherlands, 2014

BibTeX PDF

2014

Chiovetto, E.; Endres, D.; Curio, C. & Giese, M.
Perceptual integration of kinematic components for the recognition of emotional facial expressions.
Journal of Vision, 2014 , 14 (10), 205

DOI: 10.1167/14.10.205 BibTeX

2014

Beck, T.; Endres, D.; Lindner, A. & Giese, M.
Active Sampling supported Comparison of Causal Inference Models for Agency Attribution in Goal-Directed Actions.
Journal of Vision, 2014 , 14 , 838

DOI: 10.1167/14.10.838 BibTeX

2014

Endres, D.; Smilgin, A.; Sun, Z.; Junker, M.; Prsa, M.; Dicke, P.; Giese, M. & Thier, P.
Forces matter for relating spikes to saccade parameters in motoneurons and the oculomotor cerebellum.
Presented at the Bernstein Conference, Göttingen, Germany, 2014

DOI:10.12751/nncn.bc2014.0184 BibTeX

2014

Beck, T.; Endres, D.; Lindner, A. & Giese, M.
Agency Attribution in Goal-Directed Actions: Active Sampling Improving Bayesian Model Comparison.
Presented at the Bernstein Conference, Göttingen, Germany, 2014

DOI: 10.12751/nncn.bc2014.0149 BibTeX

2014

Endres, D. & Giese, M.
Testing the order-theoretic similarity model and making perceived similarity explicit with Formal Concept Analysis.
Presented at the 36th European Conference on Visual Perception, Bremen, Germany, 2013

BibTeX

2013

Endres, D.; Adam, R.; Noppeney, U. & Giese, M.
Connecting Brain and Mind with Formal Concept Analysis: a Data-Driven Semantic Investigation of the Explicit Coding Hypothesis.
Presented at the 10th German Neurobiology Meeting, Göttingen, Germany, 2013

BibTeX

2013

Endres, D.; Smilgin, A.; Dicke, P.; Giese, M. & Thier, P.
Simple spikes of Purkinje cells: pre-dictive, post-dictive or both?
Presented at the Bernstein Conference, Tübingen, Germany, 2013

DOI: 10.12751/nncn.bc2013.0221 BibTeX

2013

Merritt, C.; Endres, D.; Weiser, A.-K.; Karnath, H.-O. & Giese, M.
Detecting errors of human action semantics using Markov logic networks as tool to quantify behavioral deficits in apraxia.
Presented at the Bernstein Conference, Tübingen, Germany, 2013

DOI: 10.12751/nncn.bc2013.0080 BibTeX

2013

Fedorov, L.; Endres, D.; Vangeneuden, J. & Giese, M.
Neurodynamical model for the multi-stable perception of biological motion.
Presented at the Bernstein Conference, Tübingen, Germany, 2013

DOI: 10.1167/14.10.1007 BibTeX

2013

Beck, T.; Wilke, C.; Wirxel, B.; Endres, D.; Lindner, A. & Giese, M.
Me -- not me or in between? Comparison of causal inference models for agency attribution in goal-directed actions.
Presented at the Bernstein Conference, Tübingen, Germany, 2013

DOI: 10.1167/13.9.745 BibTeX

2013

Endres, D.; Adam, R.; Noppeney, U. & Giese, M.
Explicit coding in the brain: data-driven semantic analysis of human fMRI BOLD responses with Formal Concept Analysis.
Presented at Bernstein Conference, Munich, Germany, 2012

DOI: 10.3389/conf.fncom.2012.55.00056 BibTeX

2012

Beck, T.; Wilke, C.; Wirxel, B.; Endres, D.; Lindner, A. & Giese, M.
Did I do it? Causal inference of authorship in goal-directed actions.
Perception ECVP suppl., 2011 , 40 , 227

DOI: 10.3389/conf.fncom.2011.53.00128 BibTeX PDF

2011

Taubert, N.; Christensen, A.; Endres, D. & Giese, M.
Perception of synthetically generated interactive human emotional body expressions.
Perception ECVP suppl., 2012 , 41 , 101

BibTeX

2012

Beck, T.; Wilke, C.; Wirxel, B.; Endres, D.; Lindner, A. & Giese, M.
Did I do it? Causal inference of authorship in goal-directed actions for impoverished stimuli.
Perception ECVP suppl., 2012 , 41 , 255

DOI: 10.3389/conf.fncom.2012.55.00073 BibTeX

2012

Zwanger, V.; Endres, D. & Giese, M.
Hooligan Detection: the effects of spatial and temporal expert knowledge.
Perception ECVP suppl., 2011 , 40 , 207

BibTeX PDF

2011

Beck, T.; Wilke, C.; Wirxel, B.; Endres, D.; Lindner, A. & Giese, M.
Did I do it? Causal inference of agency in goal-directed actions.
Perception ECVP suppl., 2011 , 40 , 227

DOI: 10.3389/conf.fncom.2011.53.00128 BibTeX PDF

2011

Endres, D. & Oram, M.
Modeling non-stationarity and inter-spike dependency in high-level visual cortical area STSa.
Presented at the 9th Göttingen meeting of the German neuroscience society, 2011

BibTeX

2011

Beck, T.; Wilke, C.; Wirxel, B.; Endres, D.; Lindner, A. & Giese, M.
A Bayesian graphical model for the influence of agency attribution on perception and control of self-action.
Presented at the 9th Göttingen meeting of the German neuroscience society, 2011

BibTeX

2011

Beck, T.; Wilke, C.; Wirxel, B.; Endres, D.; Lindner, A. & Giese, M.
It was (not) me: Causal Inference of Agency in goal-directed actions
Nature preceedings.
Presented at COSYNE, 2011

DOI: 10.1038/npre.2011.5858.2 BibTeX PDF

2011

Endres, D.; Höffken, M.; Vintila, F.; Bruce, N.; Bouecke, J.; Kornprobst, P.; Neumann, H. & Giese, M.
Hooligan detection: the effects of saliency and expert knowledge.
Perception ECVP suppl., 2010 , 39 , 193

DOI: 10.1049/ic.2011.0131 BibTeX

2010

Endres, D.; Christensen, C.; Beck, C.; Bouecke, J.; Omlor, L.; Neumann, H. & Giese, M.
Segmentation of action streams: comparison between human and statistically optimal performance.
Presented at the Vision Sciences Society 10th Annual Meeting, Naples, FL, USA, 2010

DOI: 10.1167/10.7.807 BibTeX

2010

Endres, D. & Földiák, P.
Interpreting the neural code with Formal Concept Analysis.
Perception ECVP suppl., 2009 , 38 , 127

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2009

Endres, D. & Földiák, P.
Interpreting the neural code with Formal Concept Analysis.
Presented at the Neural Information Processing Systems (NIPS) conference, Vancouver, British Columbia, Canada, 2008

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2008

Endres, D.; Oram, M.; Schindelin, J. & Földiák, P.
Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms.
Presented at the Neural Information Processing Systems (NIPS) conference, Vancouver, British Columbia, Canada, 2007

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2007

Oram, M.; Xiao, D. & Endres, D.
Stimulus induced decorrelation of neuronal activity in the visual system
Perception ECVP Abstract Supplement, 2007 , 36

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2007

Endres, D. & Földiák, P.
Rapid presentation is efficient for testing visual neurons (area STSa): information rate peaks in the interval [9,24] stimuli/s.
Presented at the Computational Neuronscience Meeting (CNS), Toronto, Ontario, Canada, 2007

BibTeX

2007

Endres, D. & Földiák, P.
Exact Bayesian binning and its application to neural response analysis.
Presented at the Computational and Systems Neuroscience meeting (COSYNE), Salt Lake City, Utah, USA, 2007

BibTeX

2007

Veröffentlichte Software

Software Jahr

Endres, D.
binsdfc: Spike train feature extraction by Bayesian binning.
Available at: http://www.mloss.org, 2008.
A command-line implementation of Bayesian binning with a short tutorial.
Current downloads: > 2000.

BibTeX

2008

The SEARISE consortium.
Smart eyes: Attending and recognizing instances of salient events.
Available at: http://www.searise.eu, 2011.
My contribution: high-level recognition of crowd motion patterns and avoidance of irrelevant events.

BibTeX

2011