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2019

  • Moment Vector Encoding of Protein Sequences for Supervised Classification
    Altartouri, H., & Glasmachers, T.
    In Practical Applications of Computational Biology and Bioinformatics, 13th International Conference (pp. 25–35) Springer International Publishing
  • CaMello-XR enables visualization and optogenetic control of Gq/11 signals and receptor trafficking in GPCR-specific domains
    Eickelbeck, D., Karapinar, R., Jack, A., Suess, S. T., Barzan, R., Azimi, Z., et al.
    Communications Biology, 2(1)
  • Emerging category representation in the visual forebrain hierarchy of pigeons (Columba livia)
    Azizi, A. H., Pusch, R., Koenen, C., Klatt, S., Bröcker, F., Thiele, S., et al.
    Behavioural Brain Research, 356, 423–434
  • 6DoF Vehicle Pose Estimation Using Segmentation-Based Part Correspondences
    Barowski, T., Szczot, M., & Houben, S.
    In Proceedings of the IEEE Intelligent Transportation Systems Conference (ITSC), accepted
  • Global Convergence of the (1+1) Evolution Strategy
    Glasmachers, T.
    Evolutionary Computation Journal (ECJ)
  • How do memory modules differentially contribute to familiarity and recollection?
    Hakobyan, O., & Cheng, S.
    Behavioural and Brain Sciences, accepted
  • Measuring the Data Efficiency of Deep Learning Methods
    Hlynsson, H., Escalante-B., A., & Wiskott, L.
    In Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods SCITEPRESS - Science and Technology Publications
  • Learning gradient-based ICA by neurally estimating mutual information
  • 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, 16(2), 289–304
  • A process account of the UnControlled Manifold uncontrolled manifold structure of joint space variance in pointing movements
    Martin, V., Reimann, H., & Schöner, G.
    Biological Cybernetics
  • Fusing Shape-from-Silhouette and the Sparsity Driven Detector for Camera-Based 3D Multi-Object Localization with Occlusions
    Michael, M., Horn, D., & Houben, S.
    In Proceedings of the IEEE Intelligent Transportation Systems Conference (ITSC), accepted
  • Vehicle Shape and Color Classification Using Convolutional NeuralNetwork
    Nafzi, M., Brauckmann, M., & Glasmachers, T.
    arxiv.org
  • Dual SVM Training on a Budget
    Qaadan, S., Schüler, M., & Glasmachers, T.
    In Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods SCITEPRESS - Science and Technology Publications
  • Modeling macroscopic material behavior with machine learning algorithms trained by micromechanical simulations
    Reimann, D., Chandra, K., ul Hassan, H., Vajragupta, N., Glasmachers, T., Junker, P., & Hartmaier, A.
    Frontiers in Materials, section Computational Materials Science
  • SpikeDeeptector: A deep-learning based method for detection of neural spiking activity
    Saif-ur-Rehman, M., Lienkämper, R., Parpaley, Y., Wellmer, J., Liu, C., Lee, B., et al.
    Journal of Neural Engineering
  • Generation of Natural Traffic Sign Images Using Domain Translation with Cycle-Consistent Generative Adversarial Networks
    Spata, D., Horn, D., & Houben, S.
    In Proceedings of the IEEE Intelligent Vehicles Symposium (IV) (pp. 622–628)

2018

  • Hippocampal Reactivation Extends for Several Hours Following Novel Experience
    Giri, B., Miyawaki, H., Mizuseki, K., Cheng, S., & Diba, K.
    The Journal of Neuroscience, 39(5), 866–875
  • A Neuro-Inspired Approach to Solve a Simultaneous Location and Mapping Task Using Shared Information in Multiple Robots Systems
    Menezes, M. C., de Freitas, E. P., Cheng, S., de Oliveira, A. C. M., & de Almeida Ribeiro, P. R.
    In 2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV) IEEE
  • Autonomous Exploration Guided by Optimisation Metaheuristic
    Santos, R. G., de Freitas, E. P., Cheng, S., de Almeida Ribeiro, P. R., & de Oliveira, A. C. M.
    In 2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV) IEEE
  • Subtraction and division of visual cortical population responses by the serotonergic system
    Azimi, Z., Spoida, K., Barzan, R., Wollenweber, P., Mark, M. D., Herlitze, S., & Jancke, D.
    Preprint at bioRxiv
  • Storage fidelity for sequence memory in the hippocampal circuit
    Bayati, M., Neher, T., Melchior, J., Diba, K., Wiskott, L., & Cheng, S.
    PLOS ONE, 13(10), e0204685
  • A neural dynamic model for the perceptual grounding of spatial and movement relations
    Richter, M.
    Doctoral thesis, Ruhr-Universität Bochum, Universitätsstr. 150, 44801 Bochum
  • The reduction of adult neurogenesis in depression impairs the retrieval of new as well as remote episodic memory
    Fang, J., Demic, S., & Cheng, S.
    PLOS ONE, 13(6), e0198406
  • TMS-induced neuronal plasticity enables targeted remodeling of visual cortical maps
    Kozyrev, V., Staadt, R., Eysel, U. T., & Jancke, D.
    Proceedings of the National Academy of Sciences, 115(25), 6476–6481
  • 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
  • Fine-Grained Vehicle Representations for Autonomous Driving
    Barowski, T., Szczot, M., & Houben, S.
    In IEEE International Conference on Intelligent Transportation Systems (ITSC) (pp. 3797–3804)
  • Self-improving System Integration – Status and Challenges After Five Years of SISSY
    Bellman, K., Botev, J., Diaconescu, A., Esterle, L., Gruhl, C., Landauer, C., et al.
    In Proceedings of IEEE International Workshops on Foundations and Applications of Self* Systems (pp. 160–167)
  • Challenges of Convex Quadratic Bi-objective Benchmark Problems
    Glasmachers, T.
    arXiv.org
  • Speeding Up Budgeted Dual SVM Training with Precomputed GSS
    Glasmachers, T., & Qaadan, S.
    (M. M. -y-G. Ruben Vera-Rodriguez Sergio Velastin & Morales, A., Eds.), The 23rd Iberoamerican Congress on Pattern Recognition
  • Speeding Up Budgeted Stochastic Gradient Descent SVM Training with Precomputed Golden Section Search
    Glasmachers, T., & Qaadan, S.
    In G. Nicosia, Pardalos, P., Giuffrida, G., Umeton, R., & Sciacca, V. (Eds.), The 4th International Conference on machine Learning, Optimization and Data science - LOD 2018
  • Sequences of discrete attentional shifts emerge from a neural dynamic architecture for conjunctive visual search that operates in continuous time
    Grieben, R., Tekülve, J., Zibner, S. K. U., Schneegans, S., & Schöner, G.
    In T. T. Rogers, Rau, M., Zhu, X., & Kalish, C. W. (Eds.), Proceedings of the 40th Annual Conference of the Cognitive Science Society (pp. 429–434)
  • 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
  • Evaluation of Synthetic Video Data in Machine Learning Approaches for Parking Space Classification
    Horn, D., & Houben, S.
    In Proceedings of the IEEE Intelligent Vehicles Symposium (IV) (pp. 2157–2162)
  • Erste Ansätze zur automatischen Erkennung von Gruppenverhalten mithilfe des Computersehens
    Horn, D., Houben, S., & Schöner, G.
    In J. Reichertz & Keysers, V. (Eds.), Emotion. Eskalation. Gewalt. (pp. 130–147) Beltz Juventa
  • Automatisierte Videoanalyse
    Horn, D., Ibisch, A., & Tschentscher, M.
    In C. Moritz & Corsten, M. (Eds.), Handbuch Qualitative Videoanalyse (pp. 445–456) Springer VS Verlag
  • A Neural Dynamic Architecture That Autonomously Builds Mental Models
    Kounatidou, P., Richter, M., & Schöner, G.
    In T. T. Rogers, Rau, M., Zhu, X., & Kalish, C. W. (Eds.), Proceedings of the 40th Annual Conference of the Cognitive Science Society (pp. 643–648)
  • Large Scale Black-box Optimization by Limited-Memory Matrix Adaptation
    Loshchilov, I., Glasmachers, T., & Beyer, H. -G.
    IEEE Transactions on Evolutionary Computation, 99
  • Challenges in High-dimensional Controller Design with Evolution Strategies
    Müller, N., & Glasmachers, T.
    In Parallel Problem Solving from Nature (PPSN XVI) Springer
  • Organic Face Graph Classification
    Nilkens, A.
    In S. Tomforde & Sick, B. (Eds.), Organic Computing: Doctoral Dissertation Colloquium 2017 (Vol. 11, pp. 79–92) kassel university press GmbH
  • Multi-Merge Budget Maintenance for Stochastic Gradient Descent SVM Training
    Qaadan, S., & Glasmachers, T.
    arXiv.org
  • Multi-Merge Budget Maintenance for Stochastic Coordinate Ascent SVM Training
    Qaadan, S., & Glasmachers, T.
    Artificial Intelligence International Conference – A2IC 2018
  • User-Centered Development of a Pedestrian Assistance System Using End-to-End Learning
    Qureshi, H. S., Glasmachers, T., & Wiczorek, R.
    In 17th IEEE International Conference on Machine Learning and Applications (ICMLA) (pp. 808–813) IEEE
  • Gradient-based Training of Slow Feature Analysis by Differentiable Approximate Whitening
    Schüler, M., Hlynsson, H. D., & Wiskott, L.
    arXiv.org
  • Unsupervised Acquisition of Human Body Models
    Walther, T., & Würtz, R. P.
    Cognitive Systems Research, 47, 68–84
  • Slowness as a Proxy for Temporal Predictability: An Empirical Comparison
    Weghenkel, B., & Wiskott, L.
    Neural Computation, 30(5), 1151–1179
  • Doing without metarepresentation: Scenario construction explains the epistemic generativity and privileged status of episodic memory
    Werning, M., & Cheng, S.
    Behavioral and Brain Sciences, 41, e34
  • Interactive Learning Without Ground Truth
    Würtz, R. P., Tomforde, S., Calma, A., Kottke, D., & Sick, B.
    In S. Tomforde & Sick, B. (Eds.), Organic Computing: Doctoral Dissertation Colloquium 2017 (Vol. 11, p. II.1–II.4) kassel university press GmbH

2017

  • PFAx: Predictable Feature Analysis to Perform Control
    Richthofer, S., & Wiskott, L.
    ArXiv e-prints
  • 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
  • Gaussian-binary restricted Boltzmann machines for modeling natural image statistics
    Melchior, J., Wang, N., & Wiskott, L.
    PLOS ONE, 12(2), 1–24
  • Generating sequences in recurrent neural networks for storing and retrieving episodic memories
    Bayati, M., Melchior, J., Wiskott, L., & Cheng, S.
    In Proc. 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2
  • 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)