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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{Cheng0b, 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.2024
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Empowering Advisors: Designing a Dashboard for University Student GuidanceBaucks, F., & Wiskott, L.In P. Salden & Leschke, J. (Eds.), Learning Analytics und Künstliche Intelligenz in Studium und Lehre. Erfahrungen und Schlussfolgerungen aus einer hochschulweiten Erprobung. (p. accepted) Wiesbaden, Germany: Springer VS Fachmedien
@inbook{BaucksWiskott2024, author = {Baucks, Frederik and Wiskott, Laurenz}, title = {Empowering Advisors: Designing a Dashboard for University Student Guidance}, editor = {Salden, P. and Leschke, J.}, pages = {accepted}, publisher = {Springer VS Fachmedien}, address = {Wiesbaden, Germany}, month = {June}, year = {2024}, }
Baucks, F., & Wiskott, L.. (2024). Empowering Advisors: Designing a Dashboard for University Student Guidance. In P. Salden & Leschke, J. (Eds.), Learning Analytics und Künstliche Intelligenz in Studium und Lehre. Erfahrungen und Schlussfolgerungen aus einer hochschulweiten Erprobung. (p. accepted). Wiesbaden, Germany: Springer VS Fachmedien.A neural network model for online one-shot storage of pattern sequencesMelchior, J., Altamimi, A., Bayati, M., Cheng, S., & Wiskott, L.PLOS ONE, 19(6), 1–28@article{MelchiorAltamimiBayatiEtAl2024, author = {Melchior, Jan and Altamimi, Aya and Bayati, Mehdi and Cheng, Sen and Wiskott, Laurenz}, title = {A neural network model for online one-shot storage of pattern sequences}, journal = {PLOS ONE}, volume = {19}, number = {6}, pages = {1–28}, month = {June}, year = {2024}, doi = {10.1371/journal.pone.0304076}, }
Melchior, J., Altamimi, A., Bayati, M., Cheng, S., & Wiskott, L.. (2024). A neural network model for online one-shot storage of pattern sequences. PLOS ONE, 19(6), 1–28. http://doi.org/10.1371/journal.pone.0304076*Best Paper Nominee* Gaining Insights into Course Difficulty Variations Using Item Response TheoryBaucks, F., Schmucker, R., & Wiskott, L.In LAK24: 14th International Learning Analytics and Knowledge Conference (pp. 450–461) New York, NY, USA: Association for Computing Machinery@inproceedings{BaucksSchmuckerWiskott2024, author = {Baucks, Frederik and Schmucker, Robin and Wiskott, Laurenz}, title = {*Best Paper Nominee* Gaining Insights into Course Difficulty Variations Using Item Response Theory}, booktitle = {LAK24: 14th International Learning Analytics and Knowledge Conference}, pages = {450–461}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, month = {March}, year = {2024}, doi = {10.1145/3636555.3636902}, }
Baucks, F., Schmucker, R., & Wiskott, L.. (2024). *Best Paper Nominee* Gaining Insights into Course Difficulty Variations Using Item Response Theory. In LAK24: 14th International Learning Analytics and Knowledge Conference (pp. 450–461). New York, NY, USA: Association for Computing Machinery. http://doi.org/10.1145/3636555.3636902Volume Determination Challenges in Waste Sorting Facilities: Observations and StrategiesMaus, T., Zengeler, N., Sänger, D., & Glasmachers, T.MDPI Sensors, 24(7), 2114@article{MausZengelerSängerEtAl2024, author = {Maus, Tom and Zengeler, Nico and Sänger, Dorothee and Glasmachers, Tobias}, title = {Volume Determination Challenges in Waste Sorting Facilities: Observations and Strategies}, journal = {MDPI Sensors}, volume = {24}, number = {7}, pages = {2114}, month = {March}, year = {2024}, doi = {10.3390/s24072114}, }
Maus, T., Zengeler, N., Sänger, D., & Glasmachers, T.. (2024). Volume Determination Challenges in Waste Sorting Facilities: Observations and Strategies. MDPI Sensors, 24(7), 2114. http://doi.org/10.3390/s24072114Gaining Insights into Group-Level Course Difficulty via Differential Course FunctioningBaucks, F., Schmucker, R., Borchers, C., Pardos, Z. A., & Wiskott, L.In Proceedings of the Eleventh ACM Conference on Learning @ Scale (L@S ′24) (p. 12) New York, NY, USA: Association for Computing Machinery@inproceedings{BaucksSchmuckerBorchersEtAl2024, author = {Baucks, Frederik and Schmucker, Robin and Borchers, Conrad and Pardos, Zachary A. and Wiskott, Laurenz}, title = {Gaining Insights into Group-Level Course Difficulty via Differential Course Functioning}, booktitle = {Proceedings of the Eleventh ACM Conference on Learning @ Scale (L@S ′24)}, pages = {12}, publisher = {Association for Computing Machinery}, address = {Atlanta, GA, USA}, year = {2024}, doi = {10.1145/3657604.3662028}, }
Baucks, F., Schmucker, R., Borchers, C., Pardos, Z. A., & Wiskott, L.. (2024). Gaining Insights into Group-Level Course Difficulty via Differential Course Functioning. In Proceedings of the Eleventh ACM Conference on Learning @ Scale (L@S ′24) (p. 12). New York, NY, USA: Association for Computing Machinery. http://doi.org/10.1145/3657604.3662028tachAId—An interactive tool supporting the design of human-centered AI solutionsBauroth, M., Rath-Manakidis, P., Langholf, V., Wiskott, L., & Glasmachers, T.Frontiers in Artificial Intelligence, 7@article{BaurothRath-ManakidisLangholfEtAl2024, author = {Bauroth, Max and Rath-Manakidis, Pavlos and Langholf, Valentin and Wiskott, Laurenz and Glasmachers, Tobias}, title = {tachAId—An interactive tool supporting the design of human-centered AI solutions}, journal = {Frontiers in Artificial Intelligence}, volume = {7}, year = {2024}, doi = {10.3389/frai.2024.1354114}, }
Bauroth, M., Rath-Manakidis, P., Langholf, V., Wiskott, L., & Glasmachers, T.. (2024). tachAId—An interactive tool supporting the design of human-centered AI solutions. Frontiers in Artificial Intelligence, 7. http://doi.org/10.3389/frai.2024.1354114Ökolopoly: Case Study on Large Action Spaces in Reinforcement LearningEngelhardt, R. C., Raycheva, R., Lange, M., Wiskott, L., & Konen, W.In G. Nicosia, Ojha, V., La Malfa, E., La Malfa, G., Pardalos, P. M., & Umeton, R. (Eds.), Machine Learning, Optimization, and Data Science (pp. 109–123) Cham: Springer Nature Switzerland@inproceedings{EngelhardtRaychevaLangeEtAl2024, author = {Engelhardt, Raphael C. and Raycheva, Ralitsa and Lange, Moritz and Wiskott, Laurenz and Konen, Wolfgang}, title = {Ökolopoly: Case Study on Large Action Spaces in Reinforcement Learning}, booktitle = {Machine Learning, Optimization, and Data Science}, editor = {Nicosia, Giuseppe and Ojha, Varun and La Malfa, Emanuele and La Malfa, Gabriele and Pardalos, Panos M. and Umeton, Renato}, pages = {109–123}, publisher = {Springer Nature Switzerland}, address = {Cham}, year = {2024}, }
Engelhardt, R. C., Raycheva, R., Lange, M., Wiskott, L., & Konen, W. (2024). Ökolopoly: Case Study on Large Action Spaces in Reinforcement Learning. In G. Nicosia, Ojha, V., La Malfa, E., La Malfa, G., Pardalos, P. M., & Umeton, R. (Eds.), Machine Learning, Optimization, and Data Science (pp. 109–123). Cham: Springer Nature Switzerland.Visual selective attention: Priority is all you needGrieben, R., Spencer, J. P., & Schöner, G.In L. K. Samuelson, Frank, S. L., Toneva, M., Mackey, A., & Hazeltine, E. (Eds.), Proceedings of the 46th Annual Conference of the Cognitive Science Society@inproceedings{GriebenSpencerSchöner2024, author = {Grieben, Raul and Spencer, John P. and Schöner, Gregor}, title = {Visual selective attention: Priority is all you need}, booktitle = {Proceedings of the 46th Annual Conference of the Cognitive Science Society}, editor = {Samuelson, L. K. and Frank, S. L. and Toneva, M. and Mackey, A. and Hazeltine, E.}, year = {2024}, }
Grieben, R., Spencer, J. P., & Schöner, G.. (2024). Visual selective attention: Priority is all you need. In L. K. Samuelson, Frank, S. L., Toneva, M., Mackey, A., & Hazeltine, E. (Eds.), Proceedings of the 46th Annual Conference of the Cognitive Science Society.A Neural Process Model of Structure Mapping Accounts for Children’s Development of Analogical Mapping by Change in Inhibitory ControlKang, M., Sabinasz, D., & Schöner, G.In L. K. Samuelson, Frank, S. L., Toneva, M., Mackey, A., & Hazeltine, E. (Eds.), Proceedings of the 46th Annual Conference of the Cognitive Science Society@inproceedings{KangSabinaszSchöner2024, author = {Kang, Minseok and Sabinasz, Daniel and Schöner, Gregor}, title = {A Neural Process Model of Structure Mapping Accounts for Children’s Development of Analogical Mapping by Change in Inhibitory Control}, booktitle = {Proceedings of the 46th Annual Conference of the Cognitive Science Society}, editor = {Samuelson, L. K. and Frank, S. L. and Toneva, M. and Mackey, A. and Hazeltine, E.}, year = {2024}, }
Kang, M., Sabinasz, D., & Schöner, G.. (2024). A Neural Process Model of Structure Mapping Accounts for Children’s Development of Analogical Mapping by Change in Inhibitory Control. In L. K. Samuelson, Frank, S. L., Toneva, M., Mackey, A., & Hazeltine, E. (Eds.), Proceedings of the 46th Annual Conference of the Cognitive Science Society.Interaction of polarity and truth value - A neural dynamic architecture of negation processingKati, L., Sabinasz, D., Schöner, G., & Kaup, B.In L. K. Samuelson, Frank, S. L., Toneva, M., Mackey, A., & Hazeltine, E. (Eds.), Proceedings of the 46th Annual Conference of the Cognitive Science Society@inproceedings{KatiSabinaszSchönerEtAl2024, author = {Kati, Lea and Sabinasz, Daniel and Schöner, Gregor and Kaup, Barbara}, title = {Interaction of polarity and truth value - A neural dynamic architecture of negation processing}, booktitle = {Proceedings of the 46th Annual Conference of the Cognitive Science Society}, editor = {Samuelson, L. K. and Frank, S. L. and Toneva, M. and Mackey, A. and Hazeltine, E.}, year = {2024}, }
Kati, L., Sabinasz, D., Schöner, G., & Kaup, B. (2024). Interaction of polarity and truth value - A neural dynamic architecture of negation processing. In L. K. Samuelson, Frank, S. L., Toneva, M., Mackey, A., & Hazeltine, E. (Eds.), Proceedings of the 46th Annual Conference of the Cognitive Science Society.Interpretable Brain-Inspired Representations Improve RL Performance on Visual Navigation TasksLange, M., Engelhardt, R. C., Konen, W., & Wiskott, L.In eXplainable AI approaches for Deep Reinforcement Learning@inproceedings{LangeEngelhardtKonenEtAl2024, author = {Lange, Moritz and Engelhardt, Raphael C. and Konen, Wolfgang and Wiskott, Laurenz}, title = {Interpretable Brain-Inspired Representations Improve RL Performance on Visual Navigation Tasks}, booktitle = {eXplainable AI approaches for Deep Reinforcement Learning}, year = {2024}, }
Lange, M., Engelhardt, R. C., Konen, W., & Wiskott, L.. (2024). Interpretable Brain-Inspired Representations Improve RL Performance on Visual Navigation Tasks. In eXplainable AI approaches for Deep Reinforcement Learning. Retrieved from https://openreview.net/forum?id=s1oVgaZ3dQ*Best Paper Award* Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-visual Environments: A ComparisonLange, M., Krystiniak, N., Engelhardt, R. C., Konen, W., & Wiskott, L.In G. Nicosia, Ojha, V., La Malfa, E., La Malfa, G., Pardalos, P. M., & Umeton, R. (Eds.), Machine Learning, Optimization, and Data Science (pp. 177–191) Cham: Springer Nature Switzerland@inproceedings{LangeKrystiniakEngelhardtEtAl2024, author = {Lange, Moritz and Krystiniak, Noah and Engelhardt, Raphael C. and Konen, Wolfgang and Wiskott, Laurenz}, title = {*Best Paper Award* Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-visual Environments: A Comparison}, booktitle = {Machine Learning, Optimization, and Data Science}, editor = {Nicosia, Giuseppe and Ojha, Varun and La Malfa, Emanuele and La Malfa, Gabriele and Pardalos, Panos M. and Umeton, Renato}, pages = {177–191}, publisher = {Springer Nature Switzerland}, address = {Cham}, year = {2024}, doi = {10.1007/978-3-031-53966-4_14}, }
Lange, M., Krystiniak, N., Engelhardt, R. C., Konen, W., & Wiskott, L.. (2024). *Best Paper Award* Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-visual Environments: A Comparison. In G. Nicosia, Ojha, V., La Malfa, E., La Malfa, G., Pardalos, P. M., & Umeton, R. (Eds.), Machine Learning, Optimization, and Data Science (pp. 177–191). Cham: Springer Nature Switzerland. http://doi.org/10.1007/978-3-031-53966-4_14ContainerGym: A Real-World Reinforcement Learning Benchmark for Resource AllocationPendyala, A., Dettmer, J., Glasmachers, T., & Atamna, A.In G. Nicosia, Ojha, V., La Malfa, E., La Malfa, G., Pardalos, P. M., & Umeton, R. (Eds.), Machine Learning, Optimization, and Data Science (pp. 78–92) Cham: Springer Nature Switzerland@inproceedings{PendyalaDettmerGlasmachersEtAl2024, author = {Pendyala, Abhijeet and Dettmer, Justin and Glasmachers, Tobias and Atamna, Asma}, title = {ContainerGym: A Real-World Reinforcement Learning Benchmark for Resource Allocation}, booktitle = {Machine Learning, Optimization, and Data Science}, editor = {Nicosia, Giuseppe and Ojha, Varun and La Malfa, Emanuele and La Malfa, Gabriele and Pardalos, Panos M. and Umeton, Renato}, pages = {78–92}, publisher = {Springer Nature Switzerland}, address = {Cham}, year = {2024}, }
Pendyala, A., Dettmer, J., Glasmachers, T., & Atamna, A.. (2024). ContainerGym: A Real-World Reinforcement Learning Benchmark for Resource Allocation. In G. Nicosia, Ojha, V., La Malfa, E., La Malfa, G., Pardalos, P. M., & Umeton, R. (Eds.), Machine Learning, Optimization, and Data Science (pp. 78–92). Cham: Springer Nature Switzerland.ProtoP-OD: Explainable Object Detection with Prototypical PartsRath-Manakidis, P., Strothmann, F., Glasmachers, T., & Wiskott, L.arXiv@misc{Rath-ManakidisStrothmannGlasmachersEtAl2024, author = {Rath-Manakidis, Pavlos and Strothmann, Frederik and Glasmachers, Tobias and Wiskott, Laurenz}, title = {ProtoP-OD: Explainable Object Detection with Prototypical Parts}, year = {2024}, doi = {10.48550/arXiv.2402.19142}, }
Rath-Manakidis, P., Strothmann, F., Glasmachers, T., & Wiskott, L.. (2024). ProtoP-OD: Explainable Object Detection with Prototypical Parts. arXiv. http://doi.org/10.48550/arXiv.2402.19142Classification and Reconstruction Processes in Deep Predictive Coding Networks: Antagonists or Allies?Rathjens, J., & Wiskott, L.arXiv@misc{RathjensWiskott2024, author = {Rathjens, Jan and Wiskott, Laurenz}, title = {Classification and Reconstruction Processes in Deep Predictive Coding Networks: Antagonists or Allies?}, year = {2024}, }
Rathjens, J., & Wiskott, L.. (2024). Classification and Reconstruction Processes in Deep Predictive Coding Networks: Antagonists or Allies? arXiv.A Neural Dynamic Model Autonomously Drives a Robot to Perform Structured Sequences of Action IntentionsSehring, S., Koebe, R., Aerdker, S., & Schöner, G.In L. K. Samuelson, Frank, S. L., Toneva, M., Mackey, A., & Hazeltine, E. (Eds.), Proceedings of the 46th Annual Conference of the CognitiveScience Society@inproceedings{SehringKoebeAerdkerEtAl2024, author = {Sehring, Stephan and Koebe, Richard and Aerdker, Sophie and Schöner, Gregor}, title = {A Neural Dynamic Model Autonomously Drives a Robot to Perform Structured Sequences of Action Intentions}, booktitle = {Proceedings of the 46th Annual Conference of the CognitiveScience Society}, editor = {Samuelson, L. K. and Frank, S. L. and Toneva, M. and Mackey, A. and Hazeltine, E.}, year = {2024}, }
Sehring, S., Koebe, R., Aerdker, S., & Schöner, G.. (2024). A Neural Dynamic Model Autonomously Drives a Robot to Perform Structured Sequences of Action Intentions. In L. K. Samuelson, Frank, S. L., Toneva, M., Mackey, A., & Hazeltine, E. (Eds.), Proceedings of the 46th Annual Conference of the CognitiveScience Society.2023
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Induction of excitatory brain state governs plastic functional changes in visual cortical topologyEysel, U. T., & Jancke, D.Brain Structure and Function
@article{EyselJancke2023, author = {Eysel, Ulf T. and Jancke, Dirk}, title = {Induction of excitatory brain state governs plastic functional changes in visual cortical topology}, journal = {Brain Structure and Function}, month = {December}, year = {2023}, doi = {10.1007/s00429-023-02730-y}, }
Eysel, U. T., & Jancke, D.. (2023). Induction of excitatory brain state governs plastic functional changes in visual cortical topology. Brain Structure and Function. http://doi.org/10.1007/s00429-023-02730-yWorking memory performance is tied to stimulus complexityPusch, R., Packheiser, J., Azizi, A. H., Sevincik, C. S., Rose, J., Cheng, S., et al.Communications Biology, 6(1)@article{PuschPackheiserAziziEtAl2023, author = {Pusch, Roland and Packheiser, Julian and Azizi, Amir Hossein and Sevincik, Celil Semih and Rose, Jonas and Cheng, Sen and Stüttgen, Maik C. and Güntürkün, Onur}, title = {Working memory performance is tied to stimulus complexity}, journal = {Communications Biology}, volume = {6}, number = {1}, month = {November}, year = {2023}, doi = {10.1038/s42003-023-05486-7}, }
Pusch, R., Packheiser, J., Azizi, A. H., Sevincik, C. S., Rose, J., Cheng, S., et al. (2023). Working memory performance is tied to stimulus complexity. Communications Biology, 6(1). http://doi.org/10.1038/s42003-023-05486-7Response retention and apparent motion effect in visual cortex modelsTiselko, V. S., Volgushev, M., Jancke, D., & Chizhov, A. V.PLOS ONE, 18(11), e0293725@article{TiselkoVolgushevJanckeEtAl2023, author = {Tiselko, Vasilii S. and Volgushev, Maxim and Jancke, Dirk and Chizhov, Anton V.}, title = {Response retention and apparent motion effect in visual cortex models}, journal = {PLOS ONE}, volume = {18}, number = {11}, pages = {e0293725}, month = {November}, year = {2023}, doi = {10.1371/journal.pone.0293725}, }
Tiselko, V. S., Volgushev, M., Jancke, D., & Chizhov, A. V. (2023). Response retention and apparent motion effect in visual cortex models. PLOS ONE, 18(11), e0293725. http://doi.org/10.1371/journal.pone.0293725Tunable synaptic working memory with volatile memristive devicesRicci, S., Kappel, D., Tetzlaff, C., Ielmini, D., & Covi, E.Neuromorphic Computing and Engineering, 3(4), 044004@article{RicciKappelTetzlaffEtAl2023, author = {Ricci, Saverio and Kappel, David and Tetzlaff, Christian and Ielmini, Daniele and Covi, Erika}, title = {Tunable synaptic working memory with volatile memristive devices}, journal = {Neuromorphic Computing and Engineering}, volume = {3}, number = {4}, pages = {044004}, month = {October}, year = {2023}, doi = {10.1088/2634-4386/ad01d6}, }
Ricci, S., Kappel, D., Tetzlaff, C., Ielmini, D., & Covi, E. (2023). Tunable synaptic working memory with volatile memristive devices. Neuromorphic Computing and Engineering, 3(4), 044004. http://doi.org/10.1088/2634-4386/ad01d6Neural dynamic foundations of a theory of higher cognition: the case of grounding nested phrasesSabinasz, D., Richter, M., & Schöner, G.Cognitive Neurodynamics@article{SabinaszRichterSchöner2023, author = {Sabinasz, Daniel and Richter, Mathis and Schöner, Gregor}, title = {Neural dynamic foundations of a theory of higher cognition: the case of grounding nested phrases}, journal = {Cognitive Neurodynamics}, month = {October}, year = {2023}, doi = {10.1007/s11571-023-10007-7}, }
Sabinasz, D., Richter, M., & Schöner, G.. (2023). Neural dynamic foundations of a theory of higher cognition: the case of grounding nested phrases. Cognitive Neurodynamics. http://doi.org/10.1007/s11571-023-10007-7A Tutorial on the Spectral Theory of Markov ChainsSeabrook, E., & Wiskott, L.Neural Computation, 35(11), 1713–1796@article{SeabrookWiskott2023, author = {Seabrook, Eddie and Wiskott, Laurenz}, title = {A Tutorial on the Spectral Theory of Markov Chains}, journal = {Neural Computation}, volume = {35}, number = {11}, pages = {1713–1796}, month = {October}, year = {2023}, doi = {10.1162/neco_a_01611}, }
Seabrook, E., & Wiskott, L.. (2023). A Tutorial on the Spectral Theory of Markov Chains. Neural Computation, 35(11), 1713–1796. http://doi.org/10.1162/neco_a_01611A map of spatial navigation for neuroscienceParra-Barrero, E., Vijayabaskaran, S., Seabrook, E., Wiskott, L., & Cheng, S.Neuroscience & Biobehavioral Reviews, 152, 105200@article{Parra-BarreroVijayabaskaranSeabrookEtAl2023, author = {Parra-Barrero, Eloy and Vijayabaskaran, Sandhiya and Seabrook, Eddie and Wiskott, Laurenz and Cheng, Sen}, title = {A map of spatial navigation for neuroscience}, journal = {Neuroscience & Biobehavioral Reviews}, volume = {152}, pages = {105200}, month = {September}, year = {2023}, doi = {10.1016/j.neubiorev.2023.105200}, }
Parra-Barrero, E., Vijayabaskaran, S., Seabrook, E., Wiskott, L., & Cheng, S.. (2023). A map of spatial navigation for neuroscience. Neuroscience & Biobehavioral Reviews, 152, 105200. http://doi.org/10.1016/j.neubiorev.2023.105200Hierarchical Transformer VQ-VAE: An investigation of attentional selection in a generative model of episodic memoryReyhanian, S., Fayyaz, Z., & Wiskott, L.Bernstein Conference@misc{ReyhanianFayyazWiskott2023, author = {Reyhanian, Shirin and Fayyaz, Zahra and Wiskott, Laurenz}, title = {Hierarchical Transformer VQ-VAE: An investigation of attentional selection in a generative model of episodic memory}, howpublished = {Bernstein Conference}, month = {September}, year = {2023}, doi = {10.12751/nncn.bc2023.333}, }
Reyhanian, S., Fayyaz, Z., & Wiskott, L.. (2023, September). Hierarchical Transformer VQ-VAE: An investigation of attentional selection in a generative model of episodic memory. Bernstein Conference. http://doi.org/10.12751/nncn.bc2023.333Von der Forschung in die Praxis: Entwicklung eines Dashboards für die StudienberatungBaucks, F., & Wiskott, L.Abstract presented at 2nd Learning AID@unpublished{BaucksWiskott2023b, author = {Baucks, Frederik and Wiskott, Laurenz}, title = {Von der Forschung in die Praxis: Entwicklung eines Dashboards für die Studienberatung}, month = {August}, year = {2023}, }
Baucks, F., & Wiskott, L.. (2023, August). Von der Forschung in die Praxis: Entwicklung eines Dashboards für die Studienberatung. Abstract presented at 2nd Learning AID.The stabilization of visibility for sequentially presented, low-contrast objects: Experiments and neural field modelHock, H. S., & Schöner, G.Journal of Vision, 23(8), 12–12@article{HockSchöner2023, author = {Hock, Howard S. and Schöner, Gregor}, title = {The stabilization of visibility for sequentially presented, low-contrast objects: Experiments and neural field model}, journal = {Journal of Vision}, volume = {23}, number = {8}, pages = {12–12}, month = {August}, year = {2023}, doi = {10.1167/jov.23.8.12}, }
Hock, H. S., & Schöner, G.. (2023). The stabilization of visibility for sequentially presented, low-contrast objects: Experiments and neural field model. Journal of Vision, 23(8), 12–12. http://doi.org/10.1167/jov.23.8.12A Multisession SLAM Approach for RatSLAMMenezes, M., Muñoz, M., de Freitas, E. P., Cheng, S., de Almeida Neto, A., Ribeiro, P., & Oliveira, A.Journal of Intelligent & Robotic Systems, 108(4)@article{MenezesMuñozde FreitasEtAl2023, author = {Menezes, Matheus and Muñoz, Mauro and de Freitas, Edison Pignaton and Cheng, Sen and de Almeida Neto, Areolino and Ribeiro, Paulo and Oliveira, Alexandre}, title = {A Multisession SLAM Approach for RatSLAM}, journal = {Journal of Intelligent & Robotic Systems}, volume = {108}, number = {4}, month = {July }, year = {2023}, doi = {10.1007/s10846-023-01816-3}, }
Menezes, M., Muñoz, M., de Freitas, E. P., Cheng, S., de Almeida Neto, A., Ribeiro, P., & Oliveira, A. (2023). A Multisession SLAM Approach for RatSLAM. Journal of Intelligent & Robotic Systems, 108(4). http://doi.org/10.1007/s10846-023-01816-3Beyond Weights: Deep learning in Spiking Neural Networks with pure synaptic-delay trainingGrappolini, E. W., & Subramoney, A.In International Conference on Neuromorphic Systems (ICONS ′23), Santa Fe, NM, USA ACM@inproceedings{GrappoliniSubramoney2023, author = {Grappolini, Edoardo W. and Subramoney, Anand}, title = {Beyond Weights: Deep learning in Spiking Neural Networks with pure synaptic-delay training}, booktitle = {International Conference on Neuromorphic Systems (ICONS ′23), Santa Fe, NM, USA}, publisher = {ACM}, month = {June}, year = {2023}, }
Grappolini, E. W., & Subramoney, A.. (2023). Beyond Weights: Deep learning in Spiking Neural Networks with pure synaptic-delay training. In International Conference on Neuromorphic Systems (ICONS ′23), Santa Fe, NM, USA. ACM.Two modes of midfrontal theta suggest a role in conflict and error processingMuralidharan, V., Aron, A. R., Cohen, M. X., & Schmidt, R.NeuroImage, 273, 120107@article{MuralidharanAronCohenEtAl2023, author = {Muralidharan, Vignesh and Aron, Adam R and Cohen, Michael X and Schmidt, Robert}, title = {Two modes of midfrontal theta suggest a role in conflict and error processing}, journal = {NeuroImage}, volume = {273}, pages = {120107}, month = {June}, year = {2023}, doi = {10.1016/j.neuroimage.2023.120107}, }
Muralidharan, V., Aron, A. R., Cohen, M. X., & Schmidt, R.. (2023). Two modes of midfrontal theta suggest a role in conflict and error processing. NeuroImage, 273, 120107. http://doi.org/10.1016/j.neuroimage.2023.120107Optogenetics reveals paradoxical network stabilizations in hippocampal CA1 and CA3de Jong, L. W., Nejad, M. M., Yoon, E., Cheng, S., & Diba, K.Current Biology, 33(9), 1689–1703.e5@article{de JongNejadYoonEtAl2023, author = {de Jong, Laurel Watkins and Nejad, Mohammadreza Mohagheghi and Yoon, Euisik and Cheng, Sen and Diba, Kamran}, title = {Optogenetics reveals paradoxical network stabilizations in hippocampal CA1 and CA3}, journal = {Current Biology}, volume = {33}, number = {9}, pages = {1689–1703.e5}, month = {May}, year = {2023}, doi = {10.1016/j.cub.2023.03.032}, }
de Jong, L. W., Nejad, M. M., Yoon, E., Cheng, S., & Diba, K. (2023). Optogenetics reveals paradoxical network stabilizations in hippocampal CA1 and CA3. Current Biology, 33(9), 1689–1703.e5. http://doi.org/10.1016/j.cub.2023.03.032Learning to predict future locations with internally generated theta sequencesParra-Barrero, E., & Cheng, S.PLOS Computational Biology, 19(5), e1011101@article{Parra-BarreroCheng2023, author = {Parra-Barrero, Eloy and Cheng, Sen}, title = {Learning to predict future locations with internally generated theta sequences}, journal = {PLOS Computational Biology}, volume = {19}, number = {5}, pages = {e1011101}, month = {May}, year = {2023}, doi = {10.1371/journal.pcbi.1011101}, }
Parra-Barrero, E., & Cheng, S.. (2023). Learning to predict future locations with internally generated theta sequences. PLOS Computational Biology, 19(5), e1011101. http://doi.org/10.1371/journal.pcbi.1011101Efficient Recurrent Architectures through Activity Sparsity and Sparse Back-Propagation through TimeSubramoney, A., Nazeer, K. K., Schöne, M., Mayr, C., & Kappel, D.In International Conference on Learning Representations@inproceedings{SubramoneyNazeerSchöneEtAl2023, author = {Subramoney, Anand and Nazeer, Khaleelulla Khan and Schöne, Mark and Mayr, Christian and Kappel, David}, title = {Efficient Recurrent Architectures through Activity Sparsity and Sparse Back-Propagation through Time}, booktitle = {International Conference on Learning Representations}, month = {May}, year = {2023}, }
Subramoney, A., Nazeer, K. K., Schöne, M., Mayr, C., & Kappel, D.. (2023). Efficient Recurrent Architectures through Activity Sparsity and Sparse Back-Propagation through Time. In International Conference on Learning Representations. Retrieved from https://openreview.net/forum?id=lJdOlWg8tdNavigation and the efficiency of spatial coding: insights from closed-loop simulations
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