Veröffentlichungen

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

DOI: 10.1007/978-3-030-23182-8 BibTeX

 P. Chapman, D. Endres & 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

A. Schütz, C., A. Schubö, D. Endres & H. Lachnit, editors.  Abstracts of the 60th conference of experimental psychologists. Pabst Science Publishers, 2018.

DOI: 10.23668/psycharchives.913 PDF

Raghuveer, D. & Endres, D. (2023).
Active Inference and Psychology of Expectations: A Study of Formalizing ViolEx. In: , et al. Active Inference. IWAI 2022. Communications in Computer and Information Science, vol 1721. Springer, Cham.

DOI: 10.1007/978-3-031-28719-0_17 BibTeX

Mukovskiy, A., Taubert, N., Endres, D., Vassallo, C., Naveau, M., Stasse, O., Souères, P. & Giese; M. A. (2017)
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

Endres, D., Chiovetto, E. & Giese, M. (2015)
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

Riedl, L., Matuszkiewicz, K., Hierasimowicz, K., Endres, D., Siebold, K., Berdugo, M. B., Jansen, A.(2025)
Wissenschaft ohne Schranken: Diamond Open Access, Kommerzialisierung, Wissenschaftsbewertung und Publikationsdiversität aus interdisziplinärer Perspektive
o-bob. Das offene Bibliotheksjournal/Herausgeber VDB 12 (1), 1-9

DOI: 10.5282/o-bib/6136 BibTeX PDF

Leh, A., Endres, D., Hegele, M (2025)
Dancing through the uncanny valley: On the likeability of model-generated dance movements.
Psychology of Aesthetics, Creativity and the Arts

DOI: 10.1037/aca0000726 BibTeX PDF

Chuang, L., Augustat, N., Bierwirth, P., Lees, T., Pizzagalli, D. A., Endres, D., Müller, E. M. (2025)
Individual differences in dopamine-related traits influence mood effects of dopamine D2-antagonist and antidepressant treatment expectations
International Journal of Neuropsychopharmacology 

DOI: 10.1093/ijnp/pyaf067 BibTeX PDF

Caie, B., Endres, D., Khan, A. Z., Blohm, G. et al. (2025)
Choice anticipation as gated accumulation of sensory predictions.
Journal of Neurophysiology, 2025 133:4, 1159-1175.

DOI: 10.1152/jn.00041.2024 BibTex PDF

AL Eckert, E Fuehrer, C Schmitter, B Straube, K Fiehler, D Endres. (2025)
Modelling sensory attenuation as Bayesian causal inference across two datasets.
Plos one 20 (1)

https://doi.org/10.1371/journal.pone.0317924 BibTex PDF

Pabst K, Gkanias E, Webb B, Homberg U, Endres D (2024)
A computational model for angular velocity integration in a locust heading circuit.
Plos Computational Biology 20 (12): e1012155

https://doi.org/10.1371/journal.pcbi.1012155 BibTex PDF

L Kirchner, T Kube, M Berg, AL Eckert, B Straube, D Endres, W Rief (2024)
Social expectations in depression.
Nature Reviews Psychology 4 (1), 20-34

10.1038/s44159-024-00386-x BibTex PDF

Lukas Kirchner, Anna-Lena Eckert, Max Berg, Dominik Endres, Benjamin Straube, Winfried Rief (2024)
An active inference approach to interpersonal differences in depression
New Ideas in Psychology, Volume 74, 2024, 101092, ISSN 0732-118X

https://doi.org/10.1016/j.newideapsych.2024.101092 BibTex PDF

Augustat, N., Endres, D. & Mueller, E.M. (2024)
Uncertainty of treatment efficacy moderates placebo effects on reinforcement learning.
Scientific Report 14 (1)-14421

https://doi.org/10.1038/s41598-024-64240-z BibTex PDF

Nestor Zaragoza-Jimenez, Hauke Niehaus, Ina Thome, Christoph Vogelbacher, Gabriele Ende, Inge Kamp-Becker, Dominik Endres, Andreas Jansen (2024)
Modeling face recognition in the predictive coding framework: A combined computational modeling and functional imaging study.
Cortex, Volume 168, 2023, Page 203-225, ISSN 0010-9452

https://doi.org/10.1016/j.cortex.2023.05.021 BibTex PDF

Meibodi, N., Abbasi, H., Schubö, A. et al. (2024)
Distracted by Previous Experience: Integrating Selection History, Current Task Demands and Saliency in an Algorithmic Model.
Comput Brain Behav

DOI: 10.1007/s42113-024-00197-6 BibTex PDF

Leh, A., Endres, D., Hegele, M. (2023)
A primitive-based representation of dance: modulations by experience and perceptual validity
Journal of Neurophysiology, 2023 130:5, 1214-1225.

DOI: 10.1152/jn.00161.2023 BibTex PDF

Zittrell, F., Pabst, K., Carlomagno, E., Rosner, R., Pegel, U., Endres, D., Homberg, U., (2023)
Integration of optic flow into the sky compass network in the brain of the desert locust
Frontiers in Neural Circuits, 2023 17

DOI: 10.3389/fncir.2023.1111310  BibTeX  PDF

Herzog, P., Feldmann, M., Kube, T., Langs, G., Gärtner, T., Rauh, E., Doerr, R., Hillert, A., Voderholzer, U., Rief, W., Endres, D. & Brakemeier, E.-L. (2022)
Inpatient psychotherapy for depression in a large routine clinical care sample: A Bayesian approach to examining clinical outcomes and predictors of change
Journal of Affective Disorders, 305:133-143.

DOI: 10.1016/j.jad.2022.02.057 BibTex PDF

Alam, M., Braun, T., Endres, D., Yun, B. (2022)
Special issue on conceptual structures
Annals of Mathematics and Artificial Intelligence, 2022, 90, 1079-1082

DOI: 10.1007/s10472-022-09819-w  BibTeX  PDF 

Stroth, S., Niehaus, H., Wolff, N., Poustka, L., Roessner, V., Kamp-Becker, I. & Endres, D. (2022)
Subdimensions of social-communication behavior in autism—A replication study
Journal of Child Psychology and Psychiatry Advances.

DOI: 10.1002/jcv2.12077 BibTex PDF

Eckert, A., Pabst, K., Endres, D. (2022)
A Bayesian model for chronic pain 
Frontiers in Pain Research 3

DOI: 10.3389/fpain.2022.966034 BibTeX PDF

Binz, M., Gershman, S. J., Schulz, E. & Endres, D. (2022)
Heuristics from bounded meta-learned inference.
Psychological review, 129(5), 1042–1077. 

DOI: 10.1037/rev0000330 BibTex PDF

Panitz, C., Endres, D., Buchholz, M., Khosrowtaj, Z., Sperl, M. F. J., Mueller, E. M., Schubö, A., Schütz, A. C., Teige-Mocigemba, S. & Pinquart, M. (2021)
A Revised Framework for the Investigation of Expectation Update Versus Maintenance in the Context of Expectation Violations: The ViolEx 2.0 Model
Frontiers in Psychology, 12.

DOI: 10.3389/fpsyg.2021.726432 BibTex PDF

Schubert, M. & Endres, D. (2021)
More Plausible Models of Body Ownership Could Benefit Virtual Reality Applications
Computers, 10(9).

DOI: 10.3390/computers10090108 BibTex PDF

Pinquart, M., Endres, D., Teige-Mocigemba, S., Panitz, C. & Schütz, A. C. (2021)
Why expectations do or do not change after expectation violation: A comparison of seven models.
Consciousness and Cognition, 89:103086.

DOI: 10.1016/j.concog.2021.103086 BibTex PDF

Kern, P., Assaneo, M., Endres, D., Poeppel, D. & Rimmele, J. (2021)
Preferred auditory temporal processing regimes and auditorymotor synchronization.
Psychonomic Bulletin & Review, 28(6):1860-1873

DOI: 10.3758/s13423-021-01933-w BibTex PDF

Stettler, M., Azizpour Lindy, T., Taubert, N., Giese, M.,

Physiologically-inspired models for the recognition of dynamic facial expressions

Journal of Vision, 20(11)

DOI: 10.1167/jov.20.11.668  BibTeX  

Knopp, B., Velychko, D., Dreibrodt, J. & Endres, D. (2019)
Predicting perceived naturalness of human animations based on generative movement primitive models.
ACM Trans. Appl. Percept., 16(3)

DOI: 10.1145/3355401 BibTex PDF

Stolz, C.; Endres, D. & Müller, E. (2019)
Threat-Conditioned contexts modulate the late positive potential to faces — a mobile EEG/virtual reality study.
Psychophysiology, 56(4):e13308

DOI: 10.1111/psyp.13308 BibTex PDF

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

DOI: 10.3390/e20100724 BibTeX PDF

Junker, M., Endres, D., Sun, Z., Dicke, P., Giese, M. & Thier, P. (2018)
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

Chiovetto, E., Curio, C., Endres*, D. & Giese*, M. (2018)
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

Quaglio, P., Yegenoglu, A., Torre, E., Endres*, D. & Grün*, S. (2017)
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

Clever, D., Harant, M., Mombaur, K., Naveau, M., Stasse, O. & Endres, D. (2017)
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

Hechler, T., Endres, D. & Thorwart, A. (2016)
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

Clever, D., Harant, M., Koch, K. H., Mombaur, K. & Endres, D. (2016)
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 PDF

Taubert, N., Li, J., Endres, D., Giese, M.

Dependence of the perception of emotional body movements on concurrent social motor behavior

Journal of Vision 2015, 15(12)

DOI: 10.1167/15.12.505  BibTeX

Fard, P., Endres, D., Giese, M.

After-effects in the learning of sensorimotor mappings for the visually-guided control of hand gestures

Journal of Vision 2015, 15(12)

DOI: 10.1167/15.12.986  BibTeX

Doolittle, E., Gingras, B., Endres, D. & Fitch, W. (2014)
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

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

DOI: 10.3389/fncom.2013.00185 BibTeX PDF

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

DOI: 10.3389/fncom.2013.00185 BibTeX PDF

Endres, D., Christensen, A.; Omlor, L. & Giese, M. A. (2011)
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

Endres, D., Földiák, P. & Priss, U. (2010)
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 PDF

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

DOI: 10.1016/j.jphysparis.2009.11.015 BibTeX PDF

Endres, D. & Oram, M. (2010)
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

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

DOI: 10.4249/scholarpedia.2984 BibTeX PDF

Endres, D. & Földiák, P. (2008)
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

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

DOI: 10.1109/TIT.2005.856954 BibTeX PDF

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

DOI: 10.1109/TIT.2003.813506 BibTeX PDF

Endres, D. & Riegler, P. (1999)
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 PDF

Langsdorf, L., Goehringer, F., Schween, R., Schenk, T. & Hegele, M.
Additional cognitive load decreases performance but not adaptation to a visuomotor transformation.
Acta Psychologica, 226:103586.

DOI: 10.1016/j.actpsy.2022.103586 BibTex PDF

Weilnhammer, V., Fritsch, M., Chikermane, M., Eckert, A.-L., Kanthak, K., Stuke, H., Kaminski, J. & Sterzer, P.
An active role of inferior frontal cortex in conscious experience.
Current Biology, 31(13):2868- 2880.e8.

DOI: 10.1016/j.cub.2021.04.043 BibTex PDF

Forano M*, Schween R*, Taylor JA, Hegele M & Franklin DW.
Direct and indirect cues can enable dual-adaptation, but through different learning processes.
J Neurophysiol: /in press/
*equal contribution

DOI: 10.1152/jn.00166.2021 DOI (bioRxiv): 10.1101/2021.04.09.439164 PDF

Langsdorf L, Maresch J, Hegele M, McDougle SD* & Schween R*.
Prolonged response time helps eliminate residual errors in visuomotor adaptation.
Psychonomic Bulletin & Review 28: 834-844, 2021
*equal contribution

DOI: 10.3758/s13423-020-01865-x PDF

Schween, R., McDougle, S. D., Hegele, M. & Taylor, J. A.
Assessing explicit strategies in force field adaptation.
Journal of Neurophysiology, 123(4):1552–1565

DOI: 10.1152/jn.00427.2019 BibTex PDF

Weilnhammer, V., Röd, L., Eckert, A.-L., Stuke, H., Heinz, A. & Sterzer, P.
Psychotic Experiences in Schizophrenia and Sensitivity to Sensory Evidence.
Schizophrenia Bulletin, 46(4):927–936

DOI: 10.1093/schbul/sbaa003 BibTex PDF

Schween, R., Langsdorf, L., Taylor, J. A. & Hegele, M.
How different effectors and action effects modulate the formation of separate motor memories.
Scientific Reports, 9(1):17040

DOI: 10.1038/s41598-019-53543-1 BibTex PDF

Robadey, J., Staudenmann, D., Schween, R., Gehring, D., Gollhofer, A. & Taube, W.
Lower between-limb asymmetry during running on treadmill compared to overground in subjects with laterally pronounced knee osteoarthritis.
PLOS ONE, 13(10):1–12

DOI: 10.1371/journal.pone.0205191 BibTeX PDF

Schween, R., Taylor, J. A. & Hegele, M.
Plan-based generalization shapes local implicit adaptation to opposing visuomotor transformations.
Journal of Neurophysiology, 120(6):2775-2787

DOI: 10.1152/jn.00451.2018 BibTeX PDF

Koosha, T. A., Kshirsagar, A., Augustat, N., Hahne, F., MŸhl, D., Melzig, C. A., Bremmer, F., Peters, J., Endres, D. (2025)
Staring Down the Elevator Shaft: Postural Responses to Virtual Heights in an Indoor Environment
Proceedings of the Annual Meeting of the Cognitive Science Society 47 (0)

BibTeX PDF

Peper, M., Endres, D. (2022)
37 Jahrestagung der Gesellschaft für Neuropsychologie, Marburg
Zeitschrift für Neuropsychologie

DOI: 10.1024/1016-264X/a000360 BibTeX PDF

Pabst, K., Zittrell, F., Endres, D. & Homberg, U.
A Model for Optic Flow Integration in Locust Central-Complex Neurons Tuned to Head Direction.
Proceedings of the Annual Meeting of the Cognitive Science Society.

DOI: 10.17192/fdr/90 BibTeX PDF

Niehaus, H., Stroth, S., Kamp-Becker, I., & Endres, D.
Modeling aberrant volatility estimates in Autism Spectrum Disorder.
Proceedings of the Annual Meeting of the Cognitive Science Society.

DOI: 10.17192/fdr/87 BibTeX

Meibodi, N., Schubö, A. & Endres, D.
Sensorimotor processes are not a source of much noise: sensorimotor and decision components of reaction times.
Proceedings of the Annual Meeting of the Cognitive Science Society.

DOI: 10.17192/fdr/88 BibTeX

Augustat, N., Chuang, L.-C., Panitz, C., Stolz, C., Müller*, E. M. & Endres*, D.
Modeling Reward Learning Under Placebo Expectancies: A Q-Learning Approach.
Proceedings of the Annual Meeting of the Cognitive Science Society.
*equal contribution

DOI: 10.17192/fdr/89 BibTeX

Schubert, M., Endres, D.,
Extending the bayesian causal inference of body ownership modell across time
Proceedings of the Annual Meeting of the Cognitive Science Society. volume 44

DOI: 10.17192/fdr/91  BibTeX  PDF

Raghuveer, D., Endres, D.,
Formalization and Implementation of ViolEx: An Active Inference perspective
Proceedings of the Annual Meeting of the Cognitive Science Society, volume 44

DOI: 10.17192/fdr/92 BibTeX PDF

Meibodi, N., Abbasi, H., Schubö, A. & Endres, D. M.
A model of selection history in visual attention.
Proceedings of the Annual Meeting of the Cognitive Science Society, volume 43.

DOI: 10.17192/fdr/64.2   PDF BibTeX

Schubert, M. & Endres, D.
The Bayesian Causal Inference of Body Ownership Model: Use in VR and Plausible Parameter Choices.
2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), pages 67-70.

DOI: 10.1109/VRW52623.2021.00019 BibTeX

Knopp, B., Velychko, D., Dreibrodt, J., Schütz, A. C. & Endres, D.
Evaluating Perceptual Predictions Based on Movement Primitive Models in VR- and Online-Experiments.
ACM Symposium on Applied Perception 2020, SAP '20, New York, NY, USA. Association for Computing Machinery.

DOI: 10.1145/3385955.3407940 BibTeX PDF

Serr, A., Schubert, M., & Endres, D.
Mathematical Similarity Models: Do We Need Incomparability to Be Precise?
Graph-Based Representation and Reasoning, pages 257-261. Springer International Publishing, Cham.

DOI: 10.1007/978-3-030-23182-8_20 BibTeX

Binz, M. & Endres, D.
Where do Heuristics come from?
Proceedings of the 41st Annual Conference of the Cognitive Science
Society 2019, pages 1402-1408.

https://arxiv.org/abs/1902.07580  PDFlink BibTeX 

Schubert, M. & Endres, D.
Empirically Evaluating the Similarity Model of Geist, Lengnink and Wille.
Graph-Based Representation and Reasoning, pages 88-95, Cham. Springer International Publishing

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

Velychko, D., Knopp, B. & Endres, D.
The Variational Coupled Gaussian Process Dynamical Model.
ICANN 2017, pages 291-299, Cham. Springer International Publishing

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

Quaglio, P., Yegenolu, A., Torre, E., Endres, D.

SPADE: Spike Pattern Detection and Evaluation in Massively Parallel Spike Trains.

First Italian Meeting on Probability and Mathematical Statistics, Torino, 19-22/6/2017

BibTeX  PDF 

Taubert, N., Li, J., Endres, D., Giese, M. A. (2016)
Perception of emotional body expressions depends on concurrent involvement in social interaction
Perception, ECVP 2015, 44: 27-28

BibTeX PDF

Yegenoglu, A., Torre, E., Endres, D., Quaglio, P., Grün, S. (2016)
spatio temporal spike pattern detection in massively parallel spike Trains using formal Concept Analysis
INM Retreat 2016, Jülich, Germany, June 7-8 (Report No. FZJ-2016-03745) JARA-BRAIN

BibTeX

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

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

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

DOI: 10.48550/arXiv.1107.4985 BibTeX PDF

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

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

Safavi, S., Ravishankar, C., Endres, D., Giese, M.

A neuro-computational approach to identity-independent encoding of facial expressions

14th Conference of Junior Neuroscientists of Tübingen

DOI：10.11116/0000-0001-5195-B  BibTeX

Giese, M. A., Ravishankar, G., Safavi, S., Endres, D. (2013)
Physiologically inspired neural model for the processing of dynamic facial expressions
10th Göttingen Meeting of the German Neuroscience Society / 34th Göttingen Neurobiology Conference Göttingen, Germany: German Neuroscience Society.

BibTeX

Beck, T. F., Wirxel, B., Wilke, C., Endres, D., Lindner, A., Giese M. A. (2013)
Comparison of Causal Inference Models for Agency attribution in goal-directed actions
Perception 42 (46-46)

BibTeX

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

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

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 PDF

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

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

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

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 PDF

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 

Endres, D., Giese, M. A.

Temporal Segmentation with Bayesian Binning

NIPS 2009 Workshop on Temporal Segmentation

BibTeX  PDF

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

Endres, D., Földiák, P.

Bayesian binning for maximising information rate of rapid serial presentation for sensory neurons.

Sixteenth Anual Computational Neuroscience Meeting CNS 2007 

DOI：10.1186/1471-2202-8-S2-P151  BibTeX  PDF

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

DOI: 10.1049/cp:19991174 BibTeX PDF

Knopp, B., Auras, D., Schütz, A. C., Endres, D., (2025)
Reading Decisions from Gaze Direction during Graphics Turing Test of Gait Animation
arXiv preprint arXiv:2503.18619

DOI: 10.48550/arXiv.2503.18619 BibTeX PDF

Brand O., Endres D., Pfarr J.K., Berger C., Lenze S., Fiehler K. & Fleming R. (2023). The Adaptive Mind Data and Code Policy.

DOI: 10.22029/jlupub-14963 PDF

Eckert, A.-L., Gounitski, Y., Guggenmos, M. & Sterzer, P.
Cross-modality evidence for reduced choice history biases in psychosis prone individuals.
PsyArXiv, 17 Mar. 2022.

DOI: 10.31234/osf.io/tb6d3 BibTeX PDF

Kirchner, L., Eckert, A., Berg, M., Endres, D., Straube, B., Rief, W.,
Better Safe than Sorry? - An Active Inference Approach to Biased Social Inference in Depression
PsyArXiv

DOI: 10.31234/osf.io/bp9re  BibTeX  PDF

Weilnhammer, V., Fritsch, M., Chikermane, M., Eckert, A.-L., Kanthak, K., Stuke, H., Kaminski, J. & Sterzer, P.
Evidence for an Active Role of Inferior Frontal Cortex in Conscious Experience.
bioRxiv.

DOI: 10.1101/2020.05.28.114645 BibTeX PDF

Weilnhammer, V., Stuke, H., Eckert, A.-L., Standvoss, K., & Sterzer, P.
Humans and mice fluctuate between external and internal modes of sensory processing.
bioRxiv.

DOI: 10.1101/2021.08.20.457079 BibTeX PDF

Meibodi, N., Abbasi, H., Schubö, A. & Endres, D.
Distracted by previous reward: integrating selection history, current task demands and saliency in a computational model.
PsyArXiv, 27 Apr. 2021.

DOI: 10.31234/osf.io/mbe5a BibTeX PDF

Kern, P., Assaneo, M. F., Endres, D., Poeppel, D., Rimmele, J. M. (2020)
Preferred auditory temporal processing regimes and auditory-motor interactions
bioRxiv 15 Nov. 2020

DOI: 10.1101/2020.11.14.382051 BibTeX PDF 

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

DOI: 10.48550/arXiv.1902.07579 BibTeX PDF

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

arXiv: 1902.07580 BibTeX PDF

Endres, D. (2023).
Dekodierung Mentaler Repräsentationen mit Formaler Begriffsanalyse. Presented at the lecture series of the GRK 2700, Philipps-Universität Marburg.

Endres, D. (2023).
Anwendungen der Formalen Begriffsanalyse in der Neurowissenschaft. Presented at the Festkolloquium of the Ernst-Schröder Zentrum, Technical University of Darmstadt, Germany.

Endres, D. (2019).
Models of Human Movement Perception and Production. Presented at the Technical University of Darmstadt, Germany.

BibTeX

Endres, D. (2019).
Models of Human Movement Perception and Production. Presented at Carl-von-Ossietzky University, Oldenburg, Germany.

BibTeX

Endres, D. (2018).
Analyse und Synthese menschlicher Bewegung und deren Wahrnehmung mit maschinellen Lernverfahren. Presented at the TU Chemnitz, Germany.

Endres, D. (2018).
Models of Human Movement Perception and Production. Maximilians University of Würzburg, Germany.

Endres, D. (2018).
Applications of Machine Learning in Virtual Reality. Presented at University of Applied Sciences G.S. Ohm, Nürnberg, Germany.

Endres, D. (2017).
Understanding the semantic structure of high-level vision and the basic representational units of motor control. Presented at the Brandenburgische TU Cottbus, Germany.

Endres, D. (2016).
Understanding the semantic structure of high-level vision and the basic representational units of motor control. Presented at the Cognitive Science Center, TU Darmstadt, Germany.

Endres, D. (2016).
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

Endres, D. (2016).
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

D. Endres. (2016).
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

D. Clever & D. Endres. (2016).
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

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

BibTeX PDF

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

BibTeX

D. Endres. (2015).
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

D. Endres. (2014).
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 PDF

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

BibTex

D. Endres & M.A. Giese. (2011).
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

D. Endres, J. Schindelin, P. Földiák & M. Oram. (2011).
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

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

BibTeX PDF

D. Endres, J. Schindelin, P. Földiák & M. Oram. (2009).
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

D. Endres, J. Schindelin, P. Földiák & M. Oram. (2009).
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 PDF

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

BibTeX PDF

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

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

D. Endres & P. Földiák. (2006).
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

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

BibTex

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

BibTeX

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

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

BibTex

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

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

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

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

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 PDF

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

DOI：10.1007/978-3-642-24455-1_21  BibTeX

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

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

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

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 PDF

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 PDF

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 PDF

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

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

Niehaus, H., Jansen, A., Endres, D., Thome, I., Rusch, K., (2025)
Investigating expectation effects on face detection: a Bayesian model-based fMRI analysis
Clinical Neurophysiology 176, 2110876

DOI: 10.1016/j.clinph.2025.2110876 BibTeX PDF

Garcia, Y. T., Baltaretu, B., Endres, D., Fiehler, K. (2025)
Set size and encoding time influences individual object and ensemble perception in naturalistic scenes
Journal of Vision 25 (9), 2329-2329

DOI: 10.1167/jov.25.9.2329 BibTeX 

Eckert, A.-L., Guggenmos, M. & Sterzer, P.
Psychosis proneness is associated with decreased reliance on low-level prior expectations in auditory decision-making.
TeaP 2021, volume 63, page 65.

BibTeX

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

Yegenoglu, A., Quaglio, P., Torre, E., Endres, D. & Grün, S.
Spatio-Temporal Spike Pattern Recognition in Massively Parallel Spike Trains.
HBP Student Conference, Austria (Vienna), 8 Feb 2017 - 10 Feb 2017

BibTeX

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

DOI: DOI：10.1111/psyp.13308BibTeX PDF

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

BibTeX

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

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

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

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

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

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

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

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

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

DOI：10.11116/0000-0001-576A-7  BibTeX 

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

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

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

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 PDF

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

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

BibTeX

Beck, T.; Wilke, C.; Wirxel, B.; Endres, D.; Lindner, A. & Giese, M.
Did I do that? 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

Zwanger, V.; Endres, D. & Giese, M.
Hooligan Detection: the effects of spatial and temporal expert knowledge.
Perception ECVP suppl., 2011, 40, 1-239

BibTeX PDF

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

DOI: 10.3389/conf.fncom.2011.53.00128 BibTeX PDF

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

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

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

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

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

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

DOI：10.1167/10.7.807  BibTeX

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

DOI：10.48550/arXiv.2506.21997  BibTeX PDF

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

DOI：10.48550/arXiv.2506.21997  BibTeX PDF

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

BibTeX PDF

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 PDF

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

DOI：10.1007/s10827-007-0039-5  BibTeX

Endres D., Pabst K., Eckert A.L. & Schween R. (2023). A collection of identities for variational inference with exponential-family models.

DOI: 10.17192/fdr/112  PDF

Kshirsagar A., Schween R., Sun Z. & Engel D. (2023). Multi-Joint Model of Human Upright Stance.

Available at: https://github.com/alapkshirsagar/human-posture-control

Weber, I., Niehaus, H., Krause, K., Molitor, L., Peper, M., Schmidt, L., Hakel, L., Timmermann, L., Menzler, K., Knake, S. & Oehrn, C. R. (2023)
Trust your gut: vagal nerve stimulation in humans improves reinforcement learning.
Brain Communications, 3(2).

DOI: 10.1093/braincomms/fcab039 BibTex

Endres, D. (2006)
Bayesian and Information-Theoretic Tools for Neuroscience
PhD Thesis, University of St Andrews

BibTeX PDF

Endres, D., Riegler, P. (1999)
Adaptive systems on different time scales

PDF BibTeX