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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.The recognition ROC-curve: The complex interplay of input statistics, memory and decision makingHakobyan, O., & Cheng, S.Journal of Cognitive Neuroscience@article{HakobyanCheng0, author = {Hakobyan, Olya and Cheng, Sen}, title = {The recognition ROC-curve: The complex interplay of input statistics, memory and decision making}, journal = {Journal of Cognitive Neuroscience}, year = {in press}, }Hakobyan, O., & Cheng, S.. (in press). The recognition ROC-curve: The complex interplay of input statistics, memory and decision making. Journal of Cognitive Neuroscience.2021
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Trial-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).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.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.Convergence Analysis of the Hessian Estimation Evolution StrategyGlasmachers, T., & Krause, O.arxiv.org@techreport{GlasmachersKrause2020b, author = {Glasmachers, Tobias and Krause, Oswin}, title = {Convergence Analysis of the Hessian Estimation Evolution Strategy}, number = {2009.02732}, year = {2020}, }Glasmachers, T., & Krause, O. (2020). Convergence Analysis of the Hessian Estimation Evolution Strategy (No. 2009.02732). arxiv.org.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.AI for Social Good: Unlocking the Opportunity for Positive ImpactTomašev, N., Cornebise, J., Hutter, F., Picciariello, A., Connelly, B., Belgrave, D. C. M., et al.Nature Communications, (2468)@article{TomaševCornebiseHutterEtAl2020, author = {Tomašev, Nenad and Cornebise, Julien and Hutter, Frank and Picciariello, Angela and Connelly, Bec and Belgrave, Danielle C. M. and Ezer, Daphne and Cachat van der Haert, Fanny and Mugisha, Frank and , Gerald Abila and Arai, Hiromi and Almiraat, Hisham and Proskurnia, Julia and , Kyle Snyder and Otake, Mihoko and Othman, Mustafa and Mohamed, Shakir and Glasmachers, Tobias and de Wever, Wilfried and Teh, Yee Whye and Khan, Mohammad Emtiyaz and De Winne, Ruben and 1, Tom Schaul and Clopath, Claudia}, title = {AI for Social Good: Unlocking the Opportunity for Positive Impact}, journal = {Nature Communications}, number = {2468}, year = {2020}, }Tomašev, N., Cornebise, J., Hutter, F., Picciariello, A., Connelly, B., Belgrave, D. C. M., et al. (2020). AI for Social Good: Unlocking the Opportunity for Positive Impact. Nature Communications, (2468).Learning Cognitive Map Representations for Navigation by Sensory-Motor IntegrationZhao, D., Zhang, Z., Lu, H., Cheng, S., Si, B., & Feng, X.IEEE Transactions on Cybernetics, 1–14@article{ZhaoZhangLuEtAl2020, author = {Zhao, Dongye and Zhang, Zheng and Lu, Hong and Cheng, Sen and Si, Bailu and Feng, Xisheng}, title = {Learning Cognitive Map Representations for Navigation by Sensory-Motor Integration}, journal = {IEEE Transactions on Cybernetics}, pages = {1–14}, year = {2020}, doi = {10.1109/tcyb.2020.2977999}, }Zhao, D., Zhang, Z., Lu, H., Cheng, S., Si, B., & Feng, X. (2020). Learning Cognitive Map Representations for Navigation by Sensory-Motor Integration. IEEE Transactions on Cybernetics, 1–14. http://doi.org/10.1109/tcyb.2020.29779992019
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Improved graph-based SFA: information preservation complements the slowness principleEscalante-B., A. N., & Wiskott, L.Machine Learning
@article{Escalante-B.Wiskott2019, author = {Escalante-B., Alberto N. and Wiskott, Laurenz}, title = {Improved graph-based SFA: information preservation complements the slowness principle}, journal = {Machine Learning}, month = {December}, year = {2019}, doi = {10.1007/s10994-019-05860-9}, }Escalante-B., A. N., & Wiskott, L.. (2019). Improved graph-based SFA: information preservation complements the slowness principle. Machine Learning. http://doi.org/10.1007/s10994-019-05860-9Hippocampal Reactivation Extends for Several Hours Following Novel ExperienceGiri, B., Miyawaki, H., Mizuseki, K., Cheng, S., & Diba, K.The Journal of Neuroscience, 39(5), 866–875@article{GiriMiyawakiMizusekiEtAl2019, author = {Giri, Bapun and Miyawaki, Hiroyuki and Mizuseki, Kenji and Cheng, Sen and Diba, Kamran}, title = {Hippocampal Reactivation Extends for Several Hours Following Novel Experience}, journal = {The Journal of Neuroscience}, volume = {39}, number = {5}, pages = {866–875}, month = {December}, year = {2019}, doi = {10.1523/jneurosci.1950-18.2018}, }Giri, B., Miyawaki, H., Mizuseki, K., Cheng, S., & Diba, K. (2019). Hippocampal Reactivation Extends for Several Hours Following Novel Experience. The Journal of Neuroscience, 39(5), 866–875. http://doi.org/10.1523/jneurosci.1950-18.2018Computer mouse tracking reveals motor signatures in a cognitive task of spatial language groundingLins, J., & Schöner, G.Attention, Perception, & Psychophysics@article{LinsSchöner2019, author = {Lins, Jonas and Schöner, Gregor}, title = {Computer mouse tracking reveals motor signatures in a cognitive task of spatial language grounding}, journal = {Attention, Perception, & Psychophysics}, month = {September}, year = {2019}, doi = {10.3758/s13414-019-01847-9}, }Lins, J., & Schöner, G.. (2019). Computer mouse tracking reveals motor signatures in a cognitive task of spatial language grounding. Attention, Perception, & Psychophysics. http://doi.org/10.3758/s13414-019-01847-9Moment Vector Encoding of Protein Sequences for Supervised ClassificationAltartouri, H., & Glasmachers, T.In Practical Applications of Computational Biology and Bioinformatics, 13th International Conference (pp. 25–35) Springer International Publishing@incollection{AltartouriGlasmachers2019, author = {Altartouri, Haneen and Glasmachers, Tobias}, title = {Moment Vector Encoding of Protein Sequences for Supervised Classification}, booktitle = {Practical Applications of Computational Biology and Bioinformatics, 13th International Conference}, pages = {25–35}, publisher = {Springer International Publishing}, month = {June}, year = {2019}, doi = {10.1007/978-3-030-23873-5_4}, }Altartouri, H., & Glasmachers, T.. (2019). Moment Vector Encoding of Protein Sequences for Supervised Classification. In Practical Applications of Computational Biology and Bioinformatics, 13th International Conference (pp. 25–35). Springer International Publishing. http://doi.org/10.1007/978-3-030-23873-5_4CaMello-XR enables visualization and optogenetic control of Gq/11 signals and receptor trafficking in GPCR-specific domainsEickelbeck, D., Karapinar, R., Jack, A., Suess, S. T., Barzan, R., Azimi, Z., et al.Communications Biology, 2(1)@article{EickelbeckKarapinarJackEtAl2019, author = {Eickelbeck, Dennis and Karapinar, Raziye and Jack, Alexander and Suess, Sandra T. and Barzan, Ruxandra and Azimi, Zohre and Surdin, Tatjana and Grömmke, Michelle and Mark, Melanie D. and Gerwert, Klaus and Jancke, Dirk and Wahle, Petra and Spoida, Katharina and Herlitze, Stefan}, title = {CaMello-XR enables visualization and optogenetic control of Gq/11 signals and receptor trafficking in GPCR-specific domains}, journal = {Communications Biology}, volume = {2}, number = {1}, month = {February}, year = {2019}, doi = {10.1038/s42003-019-0292-y}, }Eickelbeck, D., Karapinar, R., Jack, A., Suess, S. T., Barzan, R., Azimi, Z., et al. (2019). CaMello-XR enables visualization and optogenetic control of Gq/11 signals and receptor trafficking in GPCR-specific domains. Communications Biology, 2(1). http://doi.org/10.1038/s42003-019-0292-yEmerging 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@article{AziziPuschKoenenEtAl2019, author = {Azizi, Amir Hossein and Pusch, Roland and Koenen, Charlotte and Klatt, Sebastian and Bröcker, Franziska and Thiele, Samuel and Kellermann, Janosch and Güntürkün, Onur and Cheng, Sen}, title = {Emerging category representation in the visual forebrain hierarchy of pigeons (Columba livia)}, journal = {Behavioural Brain Research}, volume = {356}, pages = {423–434}, month = {January}, year = {2019}, doi = {10.1016/j.bbr.2018.05.014}, }Azizi, A. H., Pusch, R., Koenen, C., Klatt, S., Bröcker, F., Thiele, S., et al. (2019). Emerging category representation in the visual forebrain hierarchy of pigeons (Columba livia). Behavioural Brain Research, 356, 423–434. http://doi.org/10.1016/j.bbr.2018.05.0146DoF Vehicle Pose Estimation Using Segmentation-Based Part CorrespondencesBarowski, T., Szczot, M., & Houben, S.In Proceedings of the IEEE Intelligent Transportation Systems Conference (ITSC) (pp. 573–580)@inproceedings{BarowskiSzczotHouben2019, author = {Barowski, Thomas and Szczot, Magdalena and Houben, Sebastian}, title = {6DoF Vehicle Pose Estimation Using Segmentation-Based Part Correspondences}, booktitle = {Proceedings of the IEEE Intelligent Transportation Systems Conference (ITSC)}, pages = {573–580}, year = {2019}, }Barowski, T., Szczot, M., & Houben, S.. (2019). 6DoF Vehicle Pose Estimation Using Segmentation-Based Part Correspondences. In Proceedings of the IEEE Intelligent Transportation Systems Conference (ITSC) (pp. 573–580).A Parallel RatSlam C++ Library Implementationde Souza Muñoz, M. E., Menezes, M. C., de Freitas, E. P., Cheng, S., de Almeida Neto, A., de Oliveira, A. C. M., & de Almeida Ribeiro, P. R.In Communications in Computer and Information Science (pp. 173–183) Springer International Publishing@incollection{de Souza MuñozMenezesde FreitasEtAl2019, author = {de Souza Muñoz, Mauro Enrique and Menezes, Matheus Chaves and de Freitas, Edison Pignaton and Cheng, Sen and de Almeida Neto, Areolino and de Oliveira, Alexandre César Muniz and de Almeida Ribeiro, Paulo Rogério}, title = {A Parallel RatSlam C++ Library Implementation}, booktitle = {Communications in Computer and Information Science}, pages = {173–183}, publisher = {Springer International Publishing}, year = {2019}, doi = {10.1007/978-3-030-36636-0_13}, }de Souza Muñoz, M. E., Menezes, M. C., de Freitas, E. P., Cheng, S., de Almeida Neto, A., de Oliveira, A. C. M., & de Almeida Ribeiro, P. R. (2019). A Parallel RatSlam C++ Library Implementation. In Communications in Computer and Information Science (pp. 173–183). Springer International Publishing. http://doi.org/10.1007/978-3-030-36636-0_13Challenges of Convex Quadratic Bi-objective Benchmark ProblemsGlasmachers, T.In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) (pp. 559–567) ACM@inproceedings{Glasmachers2019b, author = {Glasmachers, Tobias}, title = {Challenges of Convex Quadratic Bi-objective Benchmark Problems}, booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference (GECCO)}, pages = {559–567}, publisher = {ACM}, year = {2019}, }