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Improved Protein Function Prediction by Combining Clustering with Ensemble ClassificationAltartouri, H., & Glasmachers, T.Journal of Advances in Information Technology (JAIT)
@article{AltartouriGlasmachers0, author = {Altartouri, Haneen and Glasmachers, Tobias}, title = {Improved Protein Function Prediction by Combining Clustering with Ensemble Classification}, journal = {Journal of Advances in Information Technology (JAIT)}, year = {in press}, }Altartouri, H., & Glasmachers, T.. (in press). Improved Protein Function Prediction by Combining Clustering with Ensemble Classification. Journal of Advances in Information Technology (JAIT).Gedächtnisverbesserung: Möglichkeiten und kritische BetrachtungCheng, S.In F. Hüttemann & Liggieri, K. (Eds.), Die Grenze "Mensch". Diskurse des Transhumanismus. Bielefeld: transcript Verlag@incollection{Cheng0, author = {Cheng, Sen}, title = {Gedächtnisverbesserung: Möglichkeiten und kritische Betrachtung}, booktitle = {Die Grenze "Mensch". Diskurse des Transhumanismus.}, editor = {Hüttemann, Felix and Liggieri, Kevin}, publisher = {transcript Verlag}, address = {Bielefeld}, year = {in press}, }Cheng, S. (in press). Gedächtnisverbesserung: Möglichkeiten und kritische Betrachtung. In F. Hüttemann & Liggieri, K. (Eds.), Die Grenze "Mensch". Diskurse des Transhumanismus.. Bielefeld: transcript Verlag.Emergence of complex dynamics of choice due to repeated exposures to extinction learningDonoso, J. R., Packheiser, J., Pusch, R., Lederer, Z., Walther, T., Uengoer, M., et al.Animal Cognition@article{DonosoPackheiserPuschEtAl0, author = {Donoso, José R. and Packheiser, Julian and Pusch, Roland and Lederer, Zhiyin and Walther, Thomas and Uengoer, Metin and Lachnit, Harald and Güntürkün, Onur and Cheng, Sen}, title = {Emergence of complex dynamics of choice due to repeated exposures to extinction learning}, journal = {Animal Cognition}, year = {in press}, doi = {bioRiv 10.1101/2020.04.17.046136.}, }Donoso, J. R., Packheiser, J., Pusch, R., Lederer, Z., Walther, T., Uengoer, M., et al. (in press). Emergence of complex dynamics of choice due to repeated exposures to extinction learning. Animal Cognition. http://doi.org/bioRiv 10.1101/2020.04.17.046136.Bridging the gap between single receptor type activity and whole-brain dynamicsJancke, D., Herlitze, S., Kringelbach, M. L., & Deco, G.The FEBS Journal@article{JanckeHerlitzeKringelbachEtAl0, author = {Jancke, Dirk and Herlitze, Stefan and Kringelbach, Morten L. and Deco, Gustavo}, title = {Bridging the gap between single receptor type activity and whole-brain dynamics}, journal = {The FEBS Journal}, month = {April}, year = {in press}, doi = {10.1111/febs.15855}, }Jancke, D., Herlitze, S., Kringelbach, M. L., & Deco, G. (in press). Bridging the gap between single receptor type activity and whole-brain dynamics. The FEBS Journal. http://doi.org/10.1111/febs.15855Fully Automated, Realistic License Plate Substitution in Real-Life ImagesKacmaz, U., Melchior, J., Horn, D., Witte, A., Schoenen, S., & Houben, S.In Proceedings of the IEEE Intelligent Transportation Systems Conference (ITSC), accepted@inproceedings{KacmazMelchiorHornEtAl0, author = {Kacmaz, Ufuk and Melchior, Jan and Horn, Daniela and Witte, Andreas and Schoenen, Sebastian and Houben, Sebastian}, title = {Fully Automated, Realistic License Plate Substitution in Real-Life Images}, booktitle = {Proceedings of the IEEE Intelligent Transportation Systems Conference (ITSC), accepted}, year = {in press}, }Kacmaz, U., Melchior, J., Horn, D., Witte, A., Schoenen, S., & Houben, S.. (in press). Fully Automated, Realistic License Plate Substitution in Real-Life Images. In Proceedings of the IEEE Intelligent Transportation Systems Conference (ITSC), accepted.Self-referential False Associations: A Self-enhanced Constructive Effect for Verbal but not Pictorial StimuliWang, J., Otgaar, H., Howe, M. L., & Cheng, S.Quarterly Journal of Experimental Psychology@article{WangOtgaarHoweEtAl0, author = {Wang, Jianqin and Otgaar, Henry and Howe, Mark.L. and Cheng, Sen}, title = {Self-referential False Associations: A Self-enhanced Constructive Effect for Verbal but not Pictorial Stimuli}, journal = {Quarterly Journal of Experimental Psychology}, year = {in press}, }Wang, J., Otgaar, H., Howe, M. L., & Cheng, S.. (in press). Self-referential False Associations: A Self-enhanced Constructive Effect for Verbal but not Pictorial Stimuli. Quarterly Journal of Experimental Psychology.2021
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Recognition Receiver Operating Characteristic Curves: The Complex Influence of Input Statistics, Memory, and Decision-makingHakobyan, O., & Cheng, S.Journal of Cognitive Neuroscience, 33(6), 1032–1055
@article{HakobyanCheng2021, author = {Hakobyan, Olya and Cheng, Sen}, title = {Recognition Receiver Operating Characteristic Curves: The Complex Influence of Input Statistics, Memory, and Decision-making}, journal = {Journal of Cognitive Neuroscience}, volume = {33}, number = {6}, pages = {1032–1055}, month = {May}, year = {2021}, doi = {10.1162/jocn_a_01697}, }Hakobyan, O., & Cheng, S.. (2021). Recognition Receiver Operating Characteristic Curves: The Complex Influence of Input Statistics, Memory, and Decision-making. Journal of Cognitive Neuroscience, 33(6), 1032–1055. http://doi.org/10.1162/jocn_a_01697Darks and Lights, the `Yin–Yang′ of Vision Depends on LuminanceJancke, D.Trends in Neurosciences, 44(5), 339–341@article{Jancke2021, author = {Jancke, Dirk}, title = {Darks and Lights, the `Yin–Yang′ of Vision Depends on Luminance}, journal = {Trends in Neurosciences}, volume = {44}, number = {5}, pages = {339–341}, month = {May}, year = {2021}, doi = {10.1016/j.tins.2021.02.007}, }Jancke, D. (2021). Darks and Lights, the `Yin–Yang′ of Vision Depends on Luminance. Trends in Neurosciences, 44(5), 339–341. http://doi.org/10.1016/j.tins.2021.02.007Trial-by-trial dynamics of reward prediction error-associated signals during extinction learning and renewalPackheiser, J., Donoso, J. R., Cheng, S., Güntürkün, O., & Pusch, R.Progress in Neurobiology, 197, 101901@article{PackheiserDonosoChengEtAl2021, author = {Packheiser, Julian and Donoso, José R. and Cheng, Sen and Güntürkün, Onur and Pusch, Roland}, title = {Trial-by-trial dynamics of reward prediction error-associated signals during extinction learning and renewal}, journal = {Progress in Neurobiology}, volume = {197}, pages = {101901}, month = {February}, year = {2021}, doi = {10.1016/j.pneurobio.2020.101901}, }Packheiser, J., Donoso, J. R., Cheng, S., Güntürkün, O., & Pusch, R. (2021). Trial-by-trial dynamics of reward prediction error-associated signals during extinction learning and renewal. Progress in Neurobiology, 197, 101901. http://doi.org/10.1016/j.pneurobio.2020.101901Context-dependent extinction learning emerging from raw sensory inputs: a reinforcement learning approachWalther, T., Diekmann, N., Vijayabaskaran, S., Donoso, J. R., Manahan-Vaughan, D., Wiskott, L., & Cheng, S.Scientific Reports, 11(1)@article{WaltherDiekmannVijayabaskaranEtAl2021, author = {Walther, Thomas and Diekmann, Nicolas and Vijayabaskaran, Sandhiya and Donoso, José R. and Manahan-Vaughan, Denise and Wiskott, Laurenz and Cheng, Sen}, title = {Context-dependent extinction learning emerging from raw sensory inputs: a reinforcement learning approach}, journal = {Scientific Reports}, volume = {11}, number = {1}, month = {February}, year = {2021}, doi = {10.1038/s41598-021-81157-z}, }Walther, T., Diekmann, N., Vijayabaskaran, S., Donoso, J. R., Manahan-Vaughan, D., Wiskott, L., & Cheng, S.. (2021). Context-dependent extinction learning emerging from raw sensory inputs: a reinforcement learning approach. Scientific Reports, 11(1). http://doi.org/10.1038/s41598-021-81157-zApplication of Reinforcement Learning to a Mining SystemFidencio, A., Naro, D., & Glasmachers, T.In 19th IEEE World Symposium on Applied Machine Intelligence and Informatics (SAMI′2021)@inproceedings{FidencioNaroGlasmachers2021, author = {Fidencio, Aline and Naro, Daniele and Glasmachers, Tobias}, title = {Application of Reinforcement Learning to a Mining System}, booktitle = {19th IEEE World Symposium on Applied Machine Intelligence and Informatics (SAMI′2021)}, year = {2021}, }Fidencio, A., Naro, D., & Glasmachers, T.. (2021). Application of Reinforcement Learning to a Mining System. In 19th IEEE World Symposium on Applied Machine Intelligence and Informatics (SAMI′2021).Convergence Analysis of the Hessian Estimation Evolution StrategyGlasmachers, T., & Krause, O.Evolutionary Computation Journal (ECJ) MIT Press@techreport{GlasmachersKrause2021, author = {Glasmachers, Tobias and Krause, Oswin}, title = {Convergence Analysis of the Hessian Estimation Evolution Strategy}, year = {2021}, }Glasmachers, T., & Krause, O. (2021). Convergence Analysis of the Hessian Estimation Evolution Strategy (Evolutionary Computation Journal (ECJ). Evolutionary Computation Journal (ECJ). MIT Press.A neural dynamic process model of combined bottom-up and top-down guidance in triple conjunction visual searchGrieben, R., & Schöner, G.In T. Fitch, Lamm, C., Leder, H., & Teßmar-Raible, K. (Eds.), Proceedings of the 43nd Annual Conference of the Cognitive Science Society Cognitive Science Society@inproceedings{GriebenSchöner2021, author = {Grieben, Raul and Schöner, Gregor}, title = {A neural dynamic process model of combined bottom-up and top-down guidance in triple conjunction visual search}, booktitle = {Proceedings of the 43nd Annual Conference of the Cognitive Science Society}, editor = {Fitch, Tecumseh and Lamm, Claus and Leder, Helmut and Teßmar-Raible, Kristin}, publisher = {Cognitive Science Society}, year = {2021}, }Grieben, R., & Schöner, G.. (2021). A neural dynamic process model of combined bottom-up and top-down guidance in triple conjunction visual search. In T. Fitch, Lamm, C., Leder, H., & Teßmar-Raible, K. (Eds.), Proceedings of the 43nd Annual Conference of the Cognitive Science Society. Cognitive Science Society.Automated Selection of High-Quality Synthetic Images for Data-Driven Machine Learning: A Study on Traffic SignsHorn, D., Janssen, L., & Houben, S.In Proceedings of the IEEE Intelligent Vehicles Symposium (IV) (pp. 832–837)@inproceedings{HornJanssenHouben2021, author = {Horn, Daniela and Janssen, Lars and Houben, Sebastian}, title = {Automated Selection of High-Quality Synthetic Images for Data-Driven Machine Learning: A Study on Traffic Signs}, booktitle = {Proceedings of the IEEE Intelligent Vehicles Symposium (IV)}, pages = {832–837}, year = {2021}, }Horn, D., Janssen, L., & Houben, S.. (2021). Automated Selection of High-Quality Synthetic Images for Data-Driven Machine Learning: A Study on Traffic Signs. In Proceedings of the IEEE Intelligent Vehicles Symposium (IV) (pp. 832–837).Exploring Slow Feature Analysis for Extracting Generative Latent FactorsMenne, M., Schüler, M., & Wiskott, L.In Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods SCITEPRESS - Science and Technology Publications@inproceedings{MenneSchülerWiskott2021, author = {Menne, Max and Schüler, Merlin and Wiskott, Laurenz}, title = {Exploring Slow Feature Analysis for Extracting Generative Latent Factors}, booktitle = {Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods}, publisher = {SCITEPRESS - Science and Technology Publications}, year = {2021}, doi = {10.5220/0010391401200131}, }Menne, M., Schüler, M., & Wiskott, L.. (2021). Exploring Slow Feature Analysis for Extracting Generative Latent Factors. In Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods. SCITEPRESS - Science and Technology Publications. http://doi.org/10.5220/00103914012001312020
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Improving sensory representations using episodic memoryGörler, R., Wiskott, L., & Cheng, S.Hippocampus, 30(6), 638–656
@article{GörlerWiskottCheng2020, author = {Görler, Richard and Wiskott, Laurenz and Cheng, Sen}, title = {Improving sensory representations using episodic memory}, journal = {Hippocampus}, volume = {30}, number = {6}, pages = {638–656}, month = {December}, year = {2020}, doi = {10.1002/hipo.23186}, }Görler, R., Wiskott, L., & Cheng, S.. (2020). Improving sensory representations using episodic memory. Hippocampus, 30(6), 638–656. http://doi.org/10.1002/hipo.23186Automatic Tuning of RatSLAM′s Parameters by Irace and Iterative Closest PointMenezes, M. C., Muñoz, M. E. S., Freitas, E. P., Cheng, S., Walther, T., Neto, A. A., et al.In IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society (pp. 562–568)@inproceedings{MenezesMuñozFreitasEtAl2020, author = {Menezes, M. C. and Muñoz, M. E. S. and Freitas, E. P. and Cheng, S. and Walther, T. and Neto, A. A. and Ribeiro, P. R. A. and Oliveira, A. C. M.}, title = {Automatic Tuning of RatSLAM′s Parameters by Irace and Iterative Closest Point}, booktitle = {IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society}, pages = {562–568}, month = {October}, year = {2020}, doi = {10.1109/IECON43393.2020.9254718}, }Menezes, M. C., Muñoz, M. E. S., Freitas, E. P., Cheng, S., Walther, T., Neto, A. A., et al. (2020). Automatic Tuning of RatSLAM′s Parameters by Irace and Iterative Closest Point. In IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society (pp. 562–568). http://doi.org/10.1109/IECON43393.2020.9254718Perception of the difference between past and present stimulus: A rare orientation illusion may indicate incidental access to prediction error-like signalsStaadt, R., Philipp, S. T., Cremers, J. L., Kornmeier, J., & Jancke, D.PLOS ONE, 15(5), e0232349@article{StaadtPhilippCremersEtAl2020, author = {Staadt, Robert and Philipp, Sebastian T. and Cremers, Joschka L. and Kornmeier, Jürgen and Jancke, Dirk}, title = {Perception of the difference between past and present stimulus: A rare orientation illusion may indicate incidental access to prediction error-like signals}, journal = {PLOS ONE}, volume = {15}, number = {5}, pages = {e0232349}, month = {May}, year = {2020}, doi = {10.1371/journal.pone.0232349}, }Staadt, R., Philipp, S. T., Cremers, J. L., Kornmeier, J., & Jancke, D.. (2020). Perception of the difference between past and present stimulus: A rare orientation illusion may indicate incidental access to prediction error-like signals. PLOS ONE, 15(5), e0232349. http://doi.org/10.1371/journal.pone.0232349Separable gain control of ongoing and evoked activity in the visual cortex by serotonergic inputAzimi, Z., Barzan, R., Spoida, K., Surdin, T., Wollenweber, P., Mark, M. D., et al.eLife, 9@article{AzimiBarzanSpoidaEtAl2020, author = {Azimi, Zohre and Barzan, Ruxandra and Spoida, Katharina and Surdin, Tatjana and Wollenweber, Patric and Mark, Melanie D and Herlitze, Stefan and Jancke, Dirk}, title = {Separable gain control of ongoing and evoked activity in the visual cortex by serotonergic input}, journal = {eLife}, volume = {9}, month = {April}, year = {2020}, doi = {10.7554/elife.53552}, }Azimi, Z., Barzan, R., Spoida, K., Surdin, T., Wollenweber, P., Mark, M. D., et al. (2020). Separable gain control of ongoing and evoked activity in the visual cortex by serotonergic input. eLife, 9. http://doi.org/10.7554/elife.53552Motor Habituation: Theory and ExperimentAerdker, S., Feng, J., & Schöner, G.10th Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob 2020) pp. 160-167@article{AerdkerFengSchöner2020, author = {Aerdker, S. and Feng, J. and Schöner, G.}, title = {Motor Habituation: Theory and Experiment}, journal = {10th Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob 2020) pp. 160-167}, year = {2020}, }Aerdker, S., Feng, J., & Schöner, G.. (2020). Motor Habituation: Theory and Experiment. 10th Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob 2020) pp. 160-167.Improving the performance of EEG decoding using anchored-STFT in conjunction with gradient norm adversarial augmentationAli, O., Saif-ur-Rehman, M., Dyck, S., Glasmachers, T., Iossifidis, I., & Klaes, C.arXiv.org@techreport{AliSaif-ur-RehmanDyckEtAl2020, author = {Ali, Omair and Saif-ur-Rehman, Muhammad and Dyck, Susanne and Glasmachers, Tobias and Iossifidis, Ioannis and Klaes, Christian}, title = {Improving the performance of EEG decoding using anchored-STFT in conjunction with gradient norm adversarial augmentation}, institution = {arXiv.org}, number = {2011.14694}, year = {2020}, }Ali, O., Saif-ur-Rehman, M., Dyck, S., Glasmachers, T., Iossifidis, I., & Klaes, C. (2020). Improving the performance of EEG decoding using anchored-STFT in conjunction with gradient norm adversarial augmentation (No. 2011.14694). arXiv.org.A Versatile Combination of Classifiers for Protein Function PredictionAltartouri, H., & Glasmachers, T.The Twelfth International Conference on Bioinformatics, Biocomputational Systems and Biotechnologies@aricle{AltartouriGlasmachers2020, author = {Altartouri, Haneen and Glasmachers, Tobias}, title = {A Versatile Combination of Classifiers for Protein Function Prediction}, year = {2020}, }Altartouri, H., & Glasmachers, T.. (2020). A Versatile Combination of Classifiers for Protein Function Prediction. The Twelfth International Conference on Bioinformatics, Biocomputational Systems and Biotechnologies.The Hessian Estimation Evolution StrategyGlasmachers, T., & Krause, O.In Parallel Problem Solving from Nature (PPSN XVII) Springer@inproceedings{GlasmachersKrause2020, author = {Glasmachers, Tobias and Krause, Oswin}, title = {The Hessian Estimation Evolution Strategy}, booktitle = {Parallel Problem Solving from Nature (PPSN XVII)}, publisher = {Springer}, year = {2020}, }Glasmachers, T., & Krause, O. (2020). The Hessian Estimation Evolution Strategy. In Parallel Problem Solving from Nature (PPSN XVII). Springer.Scene memory and spatial inhibition in visual search: A neural dynamic process model and new experimental evidenceGrieben, R., Tekülve, J., Zibner, S. K. U., Lins, J., Schneegans, S., & Schöner, G.Attention, Perception, & Psychophysics@article{GriebenTekülveZibnerEtAl2020, author = {Grieben, Raul and Tekülve, Jan and Zibner, Stephan K.U. and Lins, Jonas and Schneegans, Sebastian and Schöner, Gregor}, title = {Scene memory and spatial inhibition in visual search: A neural dynamic process model and new experimental evidence}, journal = {Attention, Perception, & Psychophysics}, year = {2020}, doi = {10.3758/s13414-019-01898-y}, }Grieben, R., Tekülve, J., Zibner, S. K. U., Lins, J., Schneegans, S., & Schöner, G.. (2020). Scene memory and spatial inhibition in visual search: A neural dynamic process model and new experimental evidence. Attention, Perception, & Psychophysics. http://doi.org/10.3758/s13414-019-01898-yLatent Representation Prediction NetworksHlynsson, H. D., Schüler, M., Schiewer, R., Glasmachers, T., & Wiskott, L.arXiv preprint arXiv:2009.09439@article{HlynssonSchülerSchiewerEtAl2020, author = {Hlynsson, Hlynur Davíð and Schüler, Merlin and Schiewer, Robin and Glasmachers, Tobias and Wiskott, Laurenz}, title = {Latent Representation Prediction Networks}, journal = {arXiv preprint arXiv:2009.09439}, year = {2020}, }Hlynsson, H. D., Schüler, M., Schiewer, R., Glasmachers, T., & Wiskott, L.. (2020). Latent Representation Prediction Networks. arXiv preprint arXiv:2009.09439.Fully Automated Traffic Sign Substitution in Real-World Images for Large-Scale Data AugmentationHorn, D., & Houben, S.In Proceedings of the IEEE Intelligent Vehicles Symposium (IV) (pp. 194–200)@inproceedings{HornHouben2020, author = {Horn, Daniela and Houben, Sebastian}, title = {Fully Automated Traffic Sign Substitution in Real-World Images for Large-Scale Data Augmentation}, booktitle = {Proceedings of the IEEE Intelligent Vehicles Symposium (IV)}, pages = {194–200}, year = {2020}, }Horn, D., & Houben, S.. (2020). Fully Automated Traffic Sign Substitution in Real-World Images for Large-Scale Data Augmentation. In Proceedings of the IEEE Intelligent Vehicles Symposium (IV) (pp. 194–200).Non-local Optimization: Imposing Structure on Optimization Problems by RelaxationMüller, N., & Glasmachers, T.arXiv.org@techreport{MüllerGlasmachers2020, author = {Müller, Nils and Glasmachers, Tobias}, title = {Non-local Optimization: Imposing Structure on Optimization Problems by Relaxation}, institution = {arXiv.org}, number = {2011.06064}, year = {2020}, }Müller, N., & Glasmachers, T.. (2020). Non-local Optimization: Imposing Structure on Optimization Problems by Relaxation (No. 2011.06064). arXiv.org.Analyzing Reinforcement Learning Benchmarks with Random Weight GuessingOller, D., Cuccu, G., & Glasmachers, T.In International Conference on Autonomous Agents and Multi-Agent Systems@inproceedings{OllerCuccuGlasmachers2020, author = {Oller, Declan and Cuccu, Giuseppe and Glasmachers, Tobias}, title = {Analyzing Reinforcement Learning Benchmarks with Random Weight Guessing}, booktitle = {International Conference on Autonomous Agents and Multi-Agent Systems}, year = {2020}, }Oller, D., Cuccu, G., & Glasmachers, T.. (2020). Analyzing Reinforcement Learning Benchmarks with Random Weight Guessing. In International Conference on Autonomous Agents and Multi-Agent Systems.Singular Sturm-Liouville Problems with Zero Potential (q=0) and Singular Slow Feature AnalysisRichthofer, S., & Wiskott, L.CoRR e-print arXiv:2011.04765@misc{RichthoferWiskott2020, author = {Richthofer, Stefan and Wiskott, Laurenz}, title = {Singular Sturm-Liouville Problems with Zero Potential (q=0) and Singular Slow Feature Analysis}, howpublished = {e-print arXiv:2011.04765}, year = {2020}, }Richthofer, S., & Wiskott, L.. (2020). Singular Sturm-Liouville Problems with Zero Potential (q=0) and Singular Slow Feature Analysis. CoRR. e-print arXiv:2011.04765.Grounding Spatial Language in Perception by Combining Concepts in a Neural Dynamic ArchitectureSabinasz, D., Richter, M., Lins, J., & Schöner, G.In S. Denison, Mack, M., Xu, Y., & Armstrong, B. C. (Eds.), Proceedings of the 42nd Annual Conference of the Cognitive Science Society (pp. 620–626) Cognitive Science Society@inproceedings{SabinaszRichterLinsEtAl2020, author = {Sabinasz, Daniel and Richter, Mathis and Lins, Jonas and Schöner, Gregor}, title = {Grounding Spatial Language in Perception by Combining Concepts in a Neural Dynamic Architecture}, booktitle = {Proceedings of the 42nd Annual Conference of the Cognitive Science Society}, editor = {Denison, Stephanie and Mack, Michael and Xu, Yang and Armstrong, Blair C}, pages = {620–626}, publisher = {Cognitive Science Society}, year = {2020}, }Sabinasz, D., Richter, M., Lins, J., & Schöner, G.. (2020). Grounding Spatial Language in Perception by Combining Concepts in a Neural Dynamic Architecture. In S. Denison, Mack, M., Xu, Y., & Armstrong, B. C. (Eds.), Proceedings of the 42nd Annual Conference of the Cognitive Science Society (pp. 620–626). Cognitive Science Society.SpikeDeep-Classifier: A deep-learning based fully automatic offline spike sorting algorithmSaif-ur-Rehman, M., Ali, O., Dyck, S., Lienkämper, R., Metzler, M., Parpaley, Y., et al.Journal of Neural Engineering@article{Saif-ur-RehmanAliDyckEtAl2020, author = {Saif-ur-Rehman, Muhammad and Ali, Omair and Dyck, Susanne and Lienkämper, Robin and Metzler, Marita and Parpaley, Yaroslav and Wellmer, Jörg and Liu, Charles and Lee, Brian and Kellis, Spencer and Andersen, Richard and Iossifidis, Ioannis and Glasmachers, Tobias and Klaes, Christian}, title = {SpikeDeep-Classifier: A deep-learning based fully automatic offline spike sorting algorithm}, journal = {Journal of Neural Engineering}, year = {2020}, }Saif-ur-Rehman, M., Ali, O., Dyck, S., Lienkämper, R., Metzler, M., Parpaley, Y., et al. (2020). SpikeDeep-Classifier: A deep-learning based fully automatic offline spike sorting algorithm. Journal of Neural Engineering.