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2018

  • The Interaction between Semantic Representation and Episodic Memory
    Fang, J., Rüther, N., Bellebaum, C., Wiskott, L., & Cheng, S.
    Neural Computation, 30(2), 293–332
  • Drift Theory in Continuous Search Spaces: Expected Hitting Time of the (1+1)-ES with 1/5 Success Rule
    Akimoto, Y., Auger, A., & Glasmachers, T.
    In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) ACM
    link 1802.03209.pdf
  • Anticipatory coarticulation in non-speeded arm movements can be motor-equivalent, carry-over coarticulation always is
    Hansen, E., Grimme, B., Reimann, H., & Schöner, G.
    Experimental Brain Research
    reprint
  • Automatisierte Videoanalyse
    Horn, D., Ibisch, A., & Tschentscher, M.
    In C. Moritz & Corsten, M. (Eds.), Handbuch Qualitative Videoanalyse (pp. 445–456) Springer VS Verlag
  • Unsupervised Acquisition of Human Body Models
    Walther, T., & Würtz, R. P.
    Cognitive Systems Research, 47, 68–84
    Article Additional material
  • Doing without metarepresentation: Scenario construction explains the epistemic generativity and privileged status of episodic memory
    Werning, M., & Cheng, S.
    Behavioral and Brain Sciences, 41

2017

  • Unsupervised Acquisition of Human Body Models using Principles of Organic Computing
    Walther, T., & Würtz, R. P.
    ArXiv e-prints
  • A Neural Dynamic Architecture for Reaching and Grasping Integrates Perception and Movement Generation and Enables On-Line Updating
    Knips, G., Zibner, S. K. U., Reimann, H., & Schöner, G.
    Frontiers in Neurorobotics, 11(March), 9:1–14
    reprint
  • Gaussian-binary restricted Boltzmann machines for modeling natural image statistics
    Melchior, J., Wang, N., & Wiskott, L.
    PLOS ONE, 12(2), 1–24
  • Gedächtnisverbesserung: Möglichkeiten und kritische Betrachtung
    Cheng, S.
    In F. Hüttemann & Liggieri, K. (Eds.), Die Grenze . Diskurse des Transhumanismus. (p. invited contribution) Bielefeld: transcript Verlag
  • Consolidation of Episodic Memory: An Epiphenomenon of Semantic Learning
    Cheng, S.
    In N. Axmacher & Rasch, B. (Eds.), Cognitive Neuroscience of Memory Consolidation (pp. 57–72) Cham, Switzerland: Springer International Publishing
  • Experience-Dependency of Reliance on Local Visual and Idiothetic Cues for Spatial Representations Created in the Absence of Distal Information
    Draht, F., Zhang, S., Rayan, A., Schönfeld, F., Wiskott, L., & Manahan-Vaughan, D.
    Frontiers in Behavioral Neuroscience, 11(92)
  • Extensions of Hierarchical Slow Feature Analysis for Efficient Classification and Regression on High-Dimensional Data
    Escalante-B., A. N.
    Doctoral thesis, Ruhr University Bochum, Faculty of Electrical Engineering and Information Technology
    PhD Thesis
  • A Fast Incremental BSP Tree Archive for Non-dominated Points
    Glasmachers, T.
    In Evolutionary Multi-Criterion Optimization (EMO) Springer
    pdf code
  • Limits of End-to-End Learning
    Glasmachers, T.
    In Proceedings of the 9th Asian Conference on Machine Learning (ACML)
    pdf code proceedings
  • Global Convergence of the (1+1) Evolution Strategy
    Glasmachers, T.
    arxiv.org
    pdf arXiv.org
  • Cue Integration by Similarity Rank List Coding — Application to Invariant Object Recognition
    Grieben, R., & Würtz, R. P.
    In Proceedings of IEEE International Workshops on Foundations and Applications of Self* Systems (pp. 132–137)
    pdf
  • Texture attribute synthesis and transfer using feed-forward CNNs
    Irmer, T., Glasmachers, T., & Maji, S.
    In Winter Conference on Applications of Computer Vision (WACV) IEEE
    pdf
  • Catching the voltage gradient—asymmetric boost of cortical spread generates motion signals across visual cortex: a brief review with special thanks to Amiram Grinvald
    Jancke, D.
    Neurophoton., 4(3), 031206
  • Intrinsically Motivated Acquisition of Modular Slow Features for Humanoids in Continuous and Non-Stationary Environments
    Kompella, V. R., & Wiskott, L.
    arXiv preprint arXiv:1701.04663
  • Qualitative and Quantitative Assessment of Step Size Adaptation Rules
    Krause, O., Glasmachers, T., & Igel, C.
    In Conference on Foundations of Genetic Algorithms (FOGA) ACM
    pdf
  • Mouse Tracking Shows Attraction to Alternative Targets While Grounding Spatial Relations
    Lins, J., & Schöner, G.
    In Proceedings of the 39th Annual Conference of the Cognitive Science Society (to appear) Austin, TX: Cognitive Science Society
  • A Neural-Dynamic Architecture for Concurrent Estimation of Object Pose and Identity
    Lomp, O., Faubel, C., & Schöner, G.
    Frontiers in Neurorobotics, 11(April), 23
    reprint
  • From grid cells to place cells with realistic field sizes
    Neher, T., Azizi, A. H., & Cheng, S.
    PLoS ONE, 12(7), e0181618
  • A multi-joint model of quiet , upright stance accounts for the “uncontrolled manifold”-structure of joint variance
    Reimann, H., & Schöner, G.
    Biological Cybernetics, in press
    preprint
  • A neural dynamic model generates descriptions of object-oriented actions
    Richter, M., Lins, J., & Schöner, G.
    Topics in Cognitive Science, 9(1), 35–47
    A neural dynamic model generates descriptions of object-oriented actions (PDF)
  • Reaching for objects : a neural process account in a developmental perspective
    Schöner, G., Tekülve, J., & Zibner, S.
    In D. Corbetta & Santello, M. (Eds.), The selection and production of goal-directed behaviors: Neural correlates, development, learning, and modeling of reach-to-grasp movements Taylor & Francis
    preprint
  • Dynamic Neural Fields with Intrinsic Plasticity
    Strub, C., Schöner, G., Wörgötter, F., & Sandamirskaya, Y.
    Frontiers in Computational Neuroscience, 11(August), 74
    reprint
  • A simulated car-park environment for the evaluation of video-based on-site parking guidance systems
    Tschentscher, M., Pruß, B., & Horn, D.
    In Proceedings of the IEEE Intelligent Vehicles Symposium (IV) (pp. 1571–1576)
    Paper
  • Graph-based predictable feature analysis
    Weghenkel, B., Fischer, A., & Wiskott, L.
    Machine Learning, 1–22
    preprint
  • Taxonomy and Unity of Memory
    Werning, M., & Cheng, S.
    In S. Bernecker & Michaelian, K. (Eds.), The Routledge Handbook of Philosophy of Memory (p. forthcoming) London: Routledge
  • No need for meta-representation: How scenario construction explains the epistemic generativity and privileged epistemic status of episodic memory
    Werning, M., & Cheng, S.
    Behavioral and Brain Sciences, in press

2016

  • Topological Schemas of Cognitive Maps and Spatial Learning
    Babichev, A., Cheng, S., & Dabaghian, Y. A.
    Frontiers in Computational Neuroscience, 10, 18
  • What is episodic memory if it is a natural kind?
    Cheng, S., & Werning, M.
    Synthese, 193(5), 1345–1385
  • Dissociating memory traces and scenario construction in mental time travel
    Cheng, S., Werning, M., & Suddendorf, T.
    Neuroscience & Biobehavioral Reviews, 60, 82–89
  • Fast model selection by limiting SVM training times
    Demircioğlu, A., Horn, D., Glasmachers, T., Bischl, B., & Weihs, C.
    arxiv.org
    pdf arXiv.org
  • A Unified View on Multi-class Support Vector Classification
    Doğan, Ü., Glasmachers, T., & Igel, C.
    Journal of Machine Learning Research, 17(45), 1–32
    pdf jmlr.org
  • Theoretical analysis of the optimal free responses of graph-based SFA for the design of training graphs.
    Escalante-B., A. N., & Wiskott, L.
    Journal of Machine Learning Research, 17(157), 1–36
    Theoretical analysis of the optimal free responses of graph-based SFA for the design of training graphs
  • Improved graph-based SFA: Information preservation complements the slowness principle
    Escalante-B., A. N., & Wiskott, L.
    e-print arXiv:1601.03945
    Improved graph-based SFA: Information preservation complements the slowness principle
  • Phase based forgery detection of JPEG anti forensics
    Fahmy, G., & Wurtz, R.
    In Signal Processing and Information Technology (ISSPIT), 2016 IEEE International Symposium on (pp. 144–149) IEEE
  • Finite Sum Acceleration vs. Adaptive Learning Rates for the Training of Kernel Machines on a Budget
    Glasmachers, T.
    In NIPS workshop on Optimization for Machine Learning
    pdf code
  • Small Stochastic Average Gradient Steps
    Glasmachers, T.
    In NIPS workshop on Optimizing the Optimizers
    pdf
  • Nonlinear dynamics in the perceptual grouping of connected surfaces
    Hock, H. S., & Schöner, G.
    Vision Research, 126, 80–96
    reprint
  • A Comparative Study on Large Scale Kernelized Support Vector Machines
    Horn, D., Demirciğlu, A., Bischl, B., Glasmachers, T., & Weihs, C.
    Advances in Data Analysis and Classification (ADAC), 1–17
    springer.com
  • Unbounded Population MO-CMA-ES for the Bi-Objective BBOB Test Suite
    Krause, O., Glasmachers, T., Hansen, N., & Igel, C.
    In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO)
    pdf
  • Multi-objective Optimization with Unbounded Solution Sets
    Krause, O., Glasmachers, T., & Igel, C.
    In NIPS workshop on Bayesian Optimization
    pdf
  • Developing Dynamic Field Theory Architectures for Embodied Cognitive Systems with cedar
    Lomp, O., Richter, M., Zibner, S. K. U., & Schöner, G.
    Frontiers in Neurorobotics, 10(November), 14
    reprint
  • Anytime Bi-Objective Optimization with a Hybrid Multi-Objective CMA-ES (HMO-CMA-ES)
    Loshchilov, I., & Glasmachers, T.
    In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO)
    pdf
  • How to Center Deep Boltzmann Machines
    Melchior, J., Fischer, A., & Wiskott, L.
    Journal of Machine Learning Research, 17(99), 1–61
  • Fast Change Detection for Camera-based Surveillance Systems
    Michael, M., Feist, C., Schuller, F., & Tschentscher, M.
    In Proceedings of the IEEE International Conference on Intelligent Transportation Systems (Vol. 19, pp. 1–8)
    Fast Change Detection for Camera-based Surveillance Systems
  • Coordination of muscle torques stabilizes upright standing posture: an UCM analysis
    Park, E., Reimann, H., & Schöner, G.
    Experimental Brain Research, 234(6), 1757–1767
    preprint
  • Separating Timing, Movement Conditions and Individual Differences in the Analysis of Human Movement
    Raket, L. L., Grimme, B., Schöner, G., Igel, C., & Markussen, B.
    PLoS Computational Biology, 12(9), 1–27
    reprint
  • Temporal asymmetry in dark-bright processing initiates propagating activity across primary visual cortex
    Rekauzke, S., Nortmann, N., Staadt, R., Hock, H. S., Schöner, G., & Jancke, D.
    J Neurosci, 36(6), 1902–1913
    pdf
  • A neural dynamic model parses object-oriented actions
    Richter, M., Lins, J., & Schöner, G.
    In A. Papafragou, Grodner, D., Mirman, D., & Trueswell, J. C. (Eds.), Proceedings of the 38th Annual Conference of the Cognitive Science Society (pp. 1931–1936) Austin, TX: Cognitive Science Society
    pdf
  • A computational model of spatial encoding in the hippocampus
    Schönfeld, F.
    Doctoral thesis, Ruhr-Universität Bochum
  • Melanopsin variants as intrinsic optogenetic On and Off switches for transient versus sustained activation of G protein pathways
    Spoida, K., Eickelbeck, D., Karapinar, R., Eckhardt, T., Mark, M. D., Jancke, D., et al.
    Curr Biol., 26(9), 1206–1212
  • A neural process model of learning to sequentially organize and activate pre-reaches
    Tekülve, J., Zibner, S. K. U., & Schöner, G.
    In Development and Learning and Epigenetic Robotics (ICDL-Epirob), 2016 Joint IEEE International Conferences on
    A neural process model of learning to sequentially organize and activate pre-reaches
  • "Self-Improving System Integration" – Preface for the SISSY′16 Workshop
    Tomforde, S., Rudolph, S., Bellman, K., & Würtz, R. P.
    In Proc. ICAC (p. 275)
    pdf
  • An Organic Computing Perspective on Self-Improving System Interweaving at Runtime
    Tomforde, S., Rudolph, S., Bellman, K., & Würtz, R. P.
    In Proc. ICAC (pp. 276–284)
    pdf
  • Supervised Classification
    Weihs, C., & Glasmachers, T.
    In C. Weihs, Jannach, D., Vatolkin, I., & Rudolph, G. (Eds.), Music Data Analysis: Foundations and Applications

2015

  • Phase based detection of JPEG counter forensics
    Fahmy, G., Alqallaf, A., & Wurtz, R.
    In 2015 IEEE International Conference on Electronics, Circuits, and Systems (ICECS) (pp. 37–40)
    pdf
  • Memory Storage Fidelity in the Hippocampal Circuit: The Role of Subregions and Input Statistics
    Neher, T., Cheng, S., & Wiskott, L.
    PLOS Computational Biology, 11(5), 1–25
  • Self-organization of synchronous activity propagation in neuronal networks driven by local excitation
    Bayati, M., Valizadeh, A., Abbassian, A., & Cheng, S.
    Frontiers in Computational Neuroscience, 9, 69
  • A smartphone-controlled autonomous robot
    Bodenstein, C., Tremer, M., Overhoff, J., & Würtz, R. P.
    In Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, Zhangjiajie, China, Aug. 15-17 (pp. 2360–2367)
    pdf
  • Evoking plasticity through sensory stimulation: Implications for learning and rehabilitation
    Dinse, H. R., & Tegenthoff, M.
    e-Neuroforum, 1(1),
    pdf
  • Theoretical Analysis of the Optimal Free Responses of Graph-Based SFA for the Design of Training Graphs
    Escalante-B., A. N., & Wiskott, L.
    e-print arXiv:1509.08329 (Accepted in Journal of Machine Learning Research)
  • Reconstruction of Images from Gabor Graphs with Applications in Facial Image Processing
    Günther, M., Böhringer, S., Wieczorek, D., & Würtz, R. P.
    International Journal of Wavelets, Multiresolution and Information Processing, 13(4), 1550019-1–25
    pdf
  • Resting BOLD fluctuations in the primary somatosensory cortex correlate with tactile acuity
    Haag, L. M., Heba, S., Lenz, M., Glaubitz, B., Höffken, O., Kalisch, T., et al.
    Cortex, 64, 20–28
    pdf
  • Carry-over coarticulation in joint angles
    Hansen, E., Grimme, B., Reimann, H., & Schöner, G.
    Experimental Brain Research, 233(9), 2555–2569
    reprint
  • Video-based Parking Space Detection: Localisation of Vehicles and Development of an Infrastructure for a Routeing System
    Horn, D., & Brüggenthies, M.
    In Proceedings of the Forum Bauinformatik (pp. 175–182)
    Paper
  • Park marking-based vehicle self-localization with a fisheye topview system
    Houben, S., Neuhausen, M., Michael, M., Kesten, R., Mickler, F., & Schuller, F.
    Journal of Real-Time Image Processing, 1–16
    pdf
  • Arbitrary object localization and tracking via multiple-camera surveillance system embedded in a parking garage
    Ibisch, A., Houben, S., Michael, M., Kesten, R., & Schuller, F.
    In SPIE/IS&T Electronic Imaging International Society for Optics and Photonics
  • Continual curiosity-driven skill acquisition from high-dimensional video inputs for humanoid robots
    Kompella, V. R., Stollenga, M., Luciw, M., & Schmidhuber, J.
    Artificial Intelligence
  • Automatic face classification in Cushing′s syndrome and acromegaly: Review, current results and future perspectives
    Kosilek, R. P., Frohner, R., Würtz, R. P., Berr, C. M., Schopohl, J., Reincke, M., & Schneider, H. J.
    European Journal of Endocrinology, 173(4), M39–M44
  • A CMA-ES with Multiplicative Covariance Matrix Updates
    Krause, O., & Glasmachers, T.
    In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO)
    pdf code
  • Parsing of action sequences: A neural dynamics approach
    Lobato, D., Sandamirskaya, Y., Richter, M., & Schöner, G.
    Paladyn, Journal of Behavioral Robotics, 6(1), 119–135
    reprint
  • Learning the condition of satisfaction of an elementary behavior in dynamic field theory
    Luciw, M., Kazerounian, S., Lahkman, K., Richter, M., & Sandamirskaya, Y.
    Paladyn, Journal of Behavioral Robotics, 6(1), 180–190
    pdf
  • Task-specific stability of abundant systems: Structure of variance and motor equivalence
    Mattos, D., Schöner, G., Zatsiorsky, V. M., & Latash, M. L.
    Neuroscience, 310, 600–615
    reprint
  • Motor equivalence during multi-finger accurate force production
    Mattos, D., Schöner, G., Zatsiorsky, V. M., & Latash, M. L.
    Experimental Brain Research, 233, 487–502
    pdf
  • Extending Traffic Light Recognition: Efficient Classification of Phase and Pictogram
    Michael, M., & Schlipsing, M.
    In Proceedings of the IEEE International Joint Conference on Neural Networks
    Paper
  • Memory Storage Fidelity in the Hippocampal Circuit: The Role of Subregions and Input Statistics
    Neher, T., Cheng, S., & Wiskott, L.
    PLoS Computational Biology, 11(5), e1004250
  • Memory Storage Fidelity in the Hippocampal Circuit: The Role of Subregions and Input Statistics
    Neher, T., Cheng, S., & Wiskott, L.
    PLoS Comput Biol, 11, e1004250
  • Visual homeostatic processing in V1: When probability meets dynamics
    Nortmann, N., Rekauzke, S., Azimi, Z., Onat, S., König, P., & Jancke, D.
    Frontiers in Systems Neuroscience , 9
  • Primary Visual Cortex Represents the Difference Between Past and Present
    Nortmann, N., Rekauzke, S., Onat, S., König, P., & Jancke, D.
    Cerebral Cortex, 25(6), 1427–1440
  • The Dynamics of Neural Activation Variables
    Reimann, H., Lins, J., & Schöner, G.
    Paladyn, Journal of Behavioral Robotics, 6(1), 57–70
    pdf
  • Predictable Feature Analysis.
    Richthofer, S., & Wiskott, L.
    In Workshop New Challenges in Neural Computation 2015 (NC2) (pp. 68–75)
  • Predictable Feature Analysis.
    Richthofer, S., & Wiskott, L.
    In 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA) (pp. 190–196)
  • State-dependencies of learning across brain scales
    Ritter, P., Born, J., Brecht, M., Dinse, H. R., Heinemann, U., Pleger, B., et al.
    Frontiers in Computational Neuroscience, 9
    pdf
  • Artificial Neural Networks — Methods and Applications in Bio-/Neuroinformatics
    Sandamirskaya, Y., & Storck, T.
    In P. Koprinkova-Hristova, Mladenov, V., & Kasabov, N. K. (Eds.) (Vol. 4) Springer
    pdf
  • Modeling place field activity with hierarchical slow feature analysis
    Schoenfeld, F., & Wiskott, L.
    Frontiers in Computational Neuroscience, 9(51)
  • Modeling place field activity with hierarchical slow feature analysis
    Schönfeld, F., & Wiskott, L.
    frontiers in Computational Neuroscience, 9(51)
  • Scalable real-time parking lot classification: An evaluation of image features and supervised learning algorithms
    Tschentscher, M., Koch, C., König, M., Salmen, J., & Schlipsing, M.
    In Proceedings of the IEEE International Joint Conference on Neural Networks
    Paper Poster
  • The Neural Dynamics of Goal-Directed Arm Movements: A Developmental Perspective
    Zibner, S. K. U., Tekülve, J., & Schöner, G.
    In Development and Learning and Epigenetic Robotics (ICDL-Epirob), 2015 Joint IEEE International Conferences on (pp. 154–161)
    model simulation pdf
  • The Sequential Organization of Movement is Critical to the Development of Reaching: A Neural Dynamics Account
    Zibner, S. K. U., Tekülve, J., & Schöner, G.
    In Development and Learning and Epigenetic Robotics (ICDL-Epirob), 2015 Joint IEEE International Conferences on (pp. 39–46)
    pdf

2014

  • Modeling the Dynamics of Disease States in Depression
    Demic, S., & Cheng, S.
    PLOS ONE, 9(10), 1–14
  • Touch improvement at the hand transfers to the face
    Muret, D., Dinse, H. R., Macchione, S., Urquizar, C., Farne, A., & Reilly, K. T.
    Curr. Biol., 24(16), R736–737
    pdf
  • The transformation from grid cells to place cells is robust to noise in the grid pattern
    Azizi, A. H., Schieferstein, N., & Cheng, S.
    Hippocampus, 24(8), 912–919
  • Classification and visualization based on derived image features: application to genetic syndromes
    Balliu, B., Würtz, R. P., Horsthemke, B., Wieczorek, D., & Böhringer, S.
    PLOS One, 9(11), e109033
    pdf
  • Learning to Look: a Dynamic Neural Fields Architecture for Gaze Shift Generation
    Bell, C., Storck, T., & Sandamirskaya, Y.
    In International Conference for Artificial Neural Networks, ICANN Hamburg, Germany
    pdf
  • "Self-Improving System Integration" – Preface for the SISSY14 Workshop
    Bellman, K., Tomforde, S., & Würtz, R. P.
    In Proc. SASO, London (p. 122) IEEE
    pdf
  • Interwoven Systems: Self-improving Systems Integration
    Bellman, K., Tomforde, S., & Würtz, R. P.
    In Proc. SASO, London (pp. 123–127) IEEE
    pdf
  • Tactile Acuity Charts: A Reliable Measure of Spatial Acuity
    Bruns, P., Camargo, C. J., Campanella, H., Esteve, J., Dinse, H. R., & Röder, B.
    PloS one, 9(2), e87384
    pdf
  • Optogenetic Assessment of Horizontal Interactions in Primary Visual Cortex (pg 4976, 2014)
    Chavane, F., Sharon, D., Jancke, D., Marre, O., Fregnac, Y., & Grinvald, A.
    J Neurosci, 34(26), 8930–8930
  • Slow Feature Analysis on Retinal Waves Leads to V1 Complex Cells.
    Dähne, S., Wilbert, N., & Wiskott, L.
    PLoS Comput Biol, 10(5), e1003564
  • Testing Hypotheses by Regularized Maximum Mean Discrepancy
    Danafar, S., Rancoita, P. M. V., Glasmachers, T., Whittingstall, K., & Schmidhuber, J.
    International Journal of Computer and Information Technology (IJCIT), 3(2)
    pdf arXiv.org
  • Handling Sharp Ridges with Local Supremum Transformations
    Glasmachers, T.
    In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO)
    pdf
  • Optimized Approximation Sets for Low-dimensional Benchmark Pareto Fronts
    Glasmachers, T.
    In Parallel Problem Solving from Nature (PPSN) Springer
    pdf code