@article{SchiewerSubramoneyWiskott2024,
	author		=	{Schiewer, Robin and Subramoney, Anand and Wiskott, Laurenz},
	title		=	{Exploring the limits of hierarchical world models in reinforcement learning},
	journal		=	{Scientific Reports},
	volume		=	{14},
	number		=	{1},
	month		=	{November},
	year		=	{2024},
	doi		=	{10.1038/s41598-024-76719-w},
}

@inproceedings{ReyhanianFayyazWiskott2024,
	author		=	{Reyhanian, Shirin and Fayyaz, Zahra and Wiskott, Laurenz},
	title		=	{Analysis of a Generative Model of Episodic Memory Based on Hierarchical VQ-VAE and Transformer},
	booktitle	=	{Proceedings of the 33rd International Conference on Artificial Neural Networks (ICANN 2024), Lugano, Switzerland},
	publisher	=	{Springer Nature Switzerland},
	month		=	{September},
	year		=	{2024},
	doi		=	{10.1007/978-3-031-72341-4_6},
}

@article{MelchiorSchiewerWiskott2024,
	author		=	{Melchior, Jan and Schiewer, Robin and Wiskott, Laurenz},
	title		=	{Hebbian Descent: A Unified View on Log-Likelihood Learning},
	journal		=	{Neural Computation},
	volume		=	{36},
	number		=	{9},
	pages		=	{1669–1712},
	month		=	{August},
	year		=	{2024},
	doi		=	{10.1162/neco_a_01684},
}

@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},
}

@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},
}

@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},
	pages		=	{165–176},
	publisher	=	{Association for Computing Machinery},
	series		=	{L@S ′24},
	address		=	{New York, NY, USA},
	year		=	{2024},
	doi		=	{10.1145/3657604.3662028},
}

@inbook{BaucksWiskott2024,
	author		=	{Baucks, Frederik and Wiskott, Laurenz},
	title		=	{Empowering Advisors: Designing a Dashboard for University Student Guidance},
	editor		=	{Salden, Peter and Leschke, Jonas},
	pages		=	{27–44},
	publisher	=	{Springer Fachmedien Wiesbaden},
	address		=	{Wiesbaden},
	year		=	{2024},
	doi		=	{10.1007/978-3-658-42993-5_2},
}

@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},
}

@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},
}

@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},
}

@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},
}

@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},
}

@misc{RathjensWiskott2024,
	author		=	{Rathjens, Jan and Wiskott, Laurenz},
	title		=	{Classification and Reconstruction Processes in Deep Predictive Coding Networks: Antagonists or Allies?},
	year		=	{2024},
}

@article{SchillingHammerOhlEtAl2024,
	author		=	{Schilling, Malte and Hammer, Barbara and Ohl, Frank W. and Ritter, Helge J. and Wiskott, Laurenz},
	title		=	{Modularity in Nervous Systems - a Key to Efficient Adaptivity for Deep Reinforcement Learning},
	journal		=	{Cogn. Comput.},
	volume		=	{16},
	number		=	{5},
	pages		=	{2358–2373},
	year		=	{2024},
	doi		=	{10.1007/S12559-022-10080-W},
}

@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},
}

@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},
}

@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},
}

@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},
}

@inproceedings{BaucksLeschkeMetzgerEtAl2023,
	author		=	{Baucks, Frederik and Leschke, Jonas and Metzger, Christian and Wiskott, Laurenz},
	title		=	{Ein Dashboard für die Studienberatung: Technische Infrastruktur und Studienverlaufsplanung im Projekt KI:edu.nrw},
	booktitle	=	{Workshop Proceedings of the 21th Fachtagung Bildungstechnologien (DELFI)},
	pages		=	{185–188},
	publisher	=	{Gesellschaft für Informatik e.V.},
	address		=	{Bonn},
	year		=	{2023},
}

@inproceedings{BaucksWiskott2023,
	author		=	{Baucks, Frederik and Wiskott, Laurenz},
	title		=	{*Best Paper Nominee* Mitigating Biases using an Additive Grade Point Model: Towards Trustworthy Curriculum Analytics Measures},
	booktitle	=	{21. Fachtagung Bildungstechnologien (DELFI)},
	pages		=	{41–52},
	publisher	=	{Gesellschaft für Informatik e.V.},
	address		=	{Bonn},
	year		=	{2023},
	doi		=	{10.18420/delfi2023-12},
}

@misc{Baucks*Schmucker*Wiskott2023,
	author		=	{Baucks*, Frederik and Schmucker*, Robin and Wiskott, Laurenz},
	title		=	{Tracing Changes in University Course Difficulty Using Item-Response Theory},
	howpublished	=	{AAAI Workshop on AI for Education: https://ai4ed.cc/workshops/aaai2023},
	year		=	{2023},
}

@inproceedings{EngelhardtLangeWiskottEtAl2023,
	author		=	{Engelhardt, Raphael C. and Lange, Moritz and Wiskott, Laurenz and Konen, Wolfgang},
	title		=	{Sample-Based Rule Extraction for Explainable 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 and Di Fatta, Giuseppe and Giuffrida, Giovanni and Umeton, Renato},
	pages		=	{330–345},
	publisher	=	{Springer Nature Switzerland},
	address		=	{Cham},
	year		=	{2023},
}

@article{EngelhardtOedingenLangeEtAl2023,
	author		=	{Engelhardt, Raphael C. and Oedingen, Marc and Lange, Moritz and Wiskott, Laurenz and Konen, Wolfgang},
	title		=	{Iterative Oblique Decision Trees Deliver Explainable RL Models},
	journal		=	{Algorithms},
	volume		=	{16},
	number		=	{6},
	year		=	{2023},
	doi		=	{10.3390/a16060282},
}

@article{ZengDiekmannWiskottEtAl2023,
	author		=	{Zeng, Xiangshuai and Diekmann, Nicolas and Wiskott, Laurenz and Cheng, Sen},
	title		=	{Modeling the function of episodic memory in spatial learning},
	journal		=	{Frontiers in Psychology},
	volume		=	{14},
	year		=	{2023},
	doi		=	{10.3389/fpsyg.2023.1160648},
}

@article{FayyazAltamimiZoellnerEtAl2022,
	author		=	{Fayyaz, Zahra and Altamimi, Aya and Zoellner, Carina and Klein, Nicole and Wolf, Oliver T. and Cheng, Sen and Wiskott, Laurenz},
	title		=	{A Model of Semantic Completion in Generative Episodic Memory},
	journal		=	{Neural Computation},
	volume		=	{34},
	number		=	{9},
	pages		=	{1841–1870},
	month		=	{August},
	year		=	{2022},
	doi		=	{10.1162/neco_a_01520},
}

@inproceedings{BaucksWiskott2022,
	author		=	{Baucks, Frederik and Wiskott, Laurenz},
	title		=	{Simulating Policy Changes in Prerequisite-Free   Curricula: A Supervised Data-Driven Approach},
	booktitle	=	{Proceedings of the 15th International Conference   on Educational Data Mining},
	pages		=	{470–476},
	publisher	=	{International Educational Data Mining Society},
	month		=	{July },
	year		=	{2022},
	doi		=	{10.5281/zenodo.6853177},
}

@article{HlynssonSchülerSchiewerEtAl2022,
	author		=	{Hlynsson, Hlynur David and Schüler, Merlin and Schiewer, Robin and Glasmachers, Tobias and Wiskott, Laurenz},
	title		=	{Latent Representation Prediction Networks},
	journal		=	{International Journal of Pattern Recognition and Artificial Intelligence},
	volume		=	{36},
	number		=	{01},
	pages		=	{2251002},
	year		=	{2022},
	doi		=	{10.1142/S0218001422510028},
}

@inproceedings{Rath-ManakidisHlynssonWiskott2022,
	author		=	{Rath-Manakidis, Pavlos and Hlynsson, Hlynur Davíð and Wiskott, Laurenz},
	title		=	{Reduction of Variance-related Error through Ensembling: Deep Double Descent and Out-of-Distribution Generalization},
	booktitle	=	{Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - ICPRAM,},
	pages		=	{31–40},
	organization	=	{INSTICC},
	publisher	=	{SciTePress},
	year		=	{2022},
	doi		=	{10.5220/0010821300003122},
}

@incollection{SchiewerWiskott2022,
	author		=	{Schiewer, Robin and Wiskott, Laurenz},
	title		=	{Modular Networks Prevent Catastrophic Interference in Model-Based Multi-task Reinforcement Learning},
	booktitle	=	{Machine Learning, Optimization, and Data Science},
	pages		=	{299–313},
	publisher	=	{Springer International Publishing},
	year		=	{2022},
	doi		=	{10.1007/978-3-030-95470-3_23},
}

@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},
}

@misc{HlynssonWiskott2021,
	author		=	{Hlynsson, Hlynur Davíð and Wiskott, Laurenz},
	title		=	{Reward prediction for representation learning and reward shaping},
	year		=	{2021},
	doi		=	{10.48550/ARXIV.2105.03172},
}

@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},
}

@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},
}

@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},
}

@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},
}

@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},
}

@inproceedings{HlynssonEscalante-B.Wiskott2019,
	author		=	{Hlynsson, Hlynur and Escalante-B., Alberto and Wiskott, Laurenz},
	title		=	{Measuring the Data Efficiency of Deep Learning Methods},
	booktitle	=	{Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods},
	publisher	=	{SCITEPRESS - Science and Technology Publications},
	year		=	{2019},
	doi		=	{10.5220/0007456306910698},
}

@inproceedings{HlynssonWiskott2019,
	author		=	{Hlynsson, Hlynur Dav′ið and Wiskott, Laurenz},
	title		=	{Learning Gradient-Based ICA by Neurally Estimating Mutual Information},
	booktitle	=	{KI 2019: Advances in Artificial Intelligence},
	editor		=	{Benzmüller, Christoph and Stuckenschmidt, Heiner},
	pages		=	{182–187},
	publisher	=	{Springer International Publishing},
	address		=	{Cham},
	year		=	{2019},
}

@article{HlynssonWiskott2019b,
	author		=	{Hlynsson, Hlynur Davíð and Wiskott, Laurenz},
	title		=	{Learning gradient-based ICA by neurally estimating mutual information},
	journal		=	{arXiv},
	pages		=	{arXiv–1904.09858},
	year		=	{2019},
}

@article{HlynssonWiskottothers2019,
	author		=	{Hlynsson, Hlynur Davíð and Wiskott, Laurenz and others},
	title		=	{Measuring the Data Efficiency of Deep Learning Methods},
	journal		=	{arXiv},
	pages		=	{arXiv–1907},
	year		=	{2019},
}

@misc{MelchiorBayatiAziziEtAl2019,
	author		=	{Melchior, Jan and Bayati, Mehdi and Azizi, Amir and Cheng, Sen and Wiskott, Laurenz},
	title		=	{A Hippocampus Model for Online One-Shot Storage of Pattern Sequences},
	howpublished	=	{e-print arXiv:1905.12937},
	year		=	{2019},
}

@inproceedings{SchülerHlynssonWiskott2019,
	author		=	{Schüler, Merlin and Hlynsson, Hlynur Dav′ið and Wiskott, Laurenz},
	title		=	{Gradient-based Training of Slow Feature Analysis by Differentiable Approximate Whitening},
	booktitle	=	{Proceedings of The Eleventh Asian Conference on Machine Learning},
	editor		=	{Lee, Wee Sun and Suzuki, Taiji},
	pages		=	{316–331},
	publisher	=	{PMLR},
	volume		=	{101},
	series		=	{Proceedings of Machine Learning Research},
	address		=	{Nagoya, Japan},
	month		=	{},
	year		=	{2019},
}

@article{BayatiNeherMelchiorEtAl2018,
	author		=	{Bayati, Mehdi and Neher, Torsten and Melchior, Jan and Diba, Kamran and Wiskott, Laurenz and Cheng, Sen},
	title		=	{Storage fidelity for sequence memory in the hippocampal circuit},
	journal		=	{PLOS ONE},
	volume		=	{13},
	number		=	{10},
	pages		=	{e0204685},
	month		=	{October},
	year		=	{2018},
	doi		=	{10.1371/journal.pone.0204685},
}

@inproceedings{FreiwaldKarbasiZeilerEtAl2018,
	author		=	{Freiwald, J. and Karbasi, M. and Zeiler, S. and Melchior, J. and Kompella, V. and Wiskott, L. and Kolossa, D.},
	title		=	{Utilizing Slow Feature Analysis for Lipreading},
	booktitle	=	{Speech Communication; 13th ITG-Symposium},
	pages		=	{191–195},
	publisher	=	{VDE Verlag GmbH},
	month		=	{October},
	year		=	{2018},
}

@article{FangRütherBellebaumEtAl2018,
	author		=	{Fang, Jing and Rüther, Naima and Bellebaum, Christian and Wiskott, Laurenz and Cheng, Sen},
	title		=	{The Interaction between Semantic Representation and Episodic Memory},
	journal		=	{Neural Computation},
	volume		=	{30},
	number		=	{2},
	pages		=	{293–332},
	month		=	{February},
	year		=	{2018},
	doi		=	{10.1162/neco_a_01044},
}

@misc{RichthoferWiskott2018,
	author		=	{Richthofer, Stefan and Wiskott, Laurenz},
	title		=	{Global Navigation Using Predictable and Slow Feature Analysis in Multiroom Environments, Path Planning and Other Control Tasks},
	howpublished	=	{e-print arXiv:1805.08565},
	year		=	{2018},
}

@misc{SchülerHlynssonWiskott2018,
	author		=	{Schüler, Merlin and Hlynsson, Hlynur Davíð and Wiskott, Laurenz},
	title		=	{Gradient-based Training of Slow Feature Analysis by Differentiable Approximate Whitening},
	howpublished	=	{e-print arXiv:1808.08833},
	year		=	{2018},
}

@article{WeghenkelWiskott2018,
	author		=	{Weghenkel, Björn and Wiskott, Laurenz},
	title		=	{Slowness as a Proxy for Temporal Predictability: An Empirical Comparison},
	journal		=	{Neural Computation},
	volume		=	{30},
	number		=	{5},
	pages		=	{1151–1179},
	year		=	{2018},
	doi		=	{10.1162/neco_a_01070},
}

@misc{RichthoferWiskott2017,
	author		=	{Richthofer, S. and Wiskott, L.},
	title		=	{PFAx: Predictable Feature Analysis to Perform Control},
	howpublished	=	{e-print arXiv:1712.00634},
	month		=	{December},
	year		=	{2017},
}

@article{MelchiorWangWiskott2017,
	author		=	{Melchior, Jan and Wang, Nan and Wiskott, Laurenz},
	title		=	{Gaussian-binary restricted Boltzmann machines for modeling natural image statistics},
	journal		=	{PLOS ONE},
	volume		=	{12},
	number		=	{2},
	pages		=	{1–24},
	month		=	{February},
	year		=	{2017},
	doi		=	{10.1371/journal.pone.0171015},
}

@inproceedings{BayatiMelchiorWiskottEtAl2017,
	author		=	{Bayati, Mehdi and Melchior, Jan and Wiskott, Laurenz and Cheng, Sen},
	title		=	{Generating sequences in recurrent neural networks for storing and retrieving episodic memories},
	booktitle	=	{Proc. 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2},
	year		=	{2017},
}

@article{DrahtZhangRayanEtAl2017,
	author		=	{Draht, Fabian and Zhang, Sijie and Rayan, Abdelrahman and Schönfeld, Fabian and Wiskott, Laurenz and Manahan-Vaughan, Denise},
	title		=	{Experience-Dependency of Reliance on Local Visual and Idiothetic Cues for Spatial Representations Created in the Absence of Distal Information},
	journal		=	{Frontiers in Behavioral Neuroscience},
	volume		=	{11},
	number		=	{92},
	year		=	{2017},
	doi		=	{10.3389/fnbeh.2017.00092},
}

@article{KompellaWiskott2017,
	author		=	{Kompella, Varun Raj and Wiskott, Laurenz},
	title		=	{Intrinsically Motivated Acquisition of Modular Slow Features for Humanoids in Continuous and Non-Stationary Environments},
	journal		=	{arXiv preprint arXiv:1701.04663},
	year		=	{2017},
}

@article{WeghenkelFischerWiskott2017,
	author		=	{Weghenkel, Björn and Fischer, Asja and Wiskott, Laurenz},
	title		=	{Graph-based predictable feature analysis},
	journal		=	{Machine Learning},
	pages		=	{1–22},
	year		=	{2017},
	doi		=	{10.1007/s10994-017-5632-x},
}

@misc{WeghenkelFischerWiskott2016,
	author		=	{Weghenkel, Björn and Fischer, Asja and Wiskott, Laurenz},
	title		=	{Graph-based Predictable Feature Analysis},
	howpublished	=	{e-print arXiv:1602.00554v1},
	month		=	{February},
	year		=	{2016},
}

@article{Escalante-B.Wiskott2016b,
	author		=	{Escalante-B., Alberto N. and Wiskott, Laurenz},
	title		=	{Theoretical analysis of the optimal free responses of graph-based SFA for the design of training graphs.},
	journal		=	{Journal of Machine Learning Research},
	volume		=	{17},
	number		=	{157},
	pages		=	{1–36},
	year		=	{2016},
}

@misc{Escalante-B.Wiskott2016,
	author		=	{Escalante-B., Alberto N. and Wiskott, Laurenz},
	title		=	{Improved graph-based SFA: Information preservation complements the slowness principle},
	howpublished	=	{e-print arXiv:1601.03945},
	month		=	{January},
	year		=	{2016},
}

@article{MelchiorFischerWiskott2016,
	author		=	{Melchior, Jan and Fischer, Asja and Wiskott, Laurenz},
	title		=	{How to Center Deep Boltzmann Machines},
	journal		=	{Journal of Machine Learning Research},
	volume		=	{17},
	number		=	{99},
	pages		=	{1–61},
	year		=	{2016},
}

@misc{Escalante-B.Wiskott2015,
	author		=	{Escalante-B., Alberto N. and Wiskott, Laurenz},
	title		=	{Theoretical Analysis of the Optimal Free Responses of Graph-Based SFA for the Design of Training Graphs},
	howpublished	=	{e-print arXiv:1509.08329 (Accepted in Journal of Machine Learning Research)},
	year		=	{2015},
}

@article{NeherChengWiskott2015,
	author		=	{Neher, Torsten and Cheng, Sen and Wiskott, Laurenz},
	title		=	{Memory Storage Fidelity in the Hippocampal Circuit: The Role of Subregions and Input Statistics},
	journal		=	{PLoS Computational Biology},
	volume		=	{11},
	number		=	{5},
	pages		=	{e1004250},
	year		=	{2015},
	doi		=	{10.1371/journal.pcbi.1004250},
}

@inproceedings{RichthoferWiskott2015b,
	author		=	{Richthofer, Stefan and Wiskott, Laurenz},
	title		=	{Predictable Feature Analysis},
	booktitle	=	{14th IEEE International Conference on Machine Learning and Applications, ICMLA 2015, Miami, FL, USA, December 9-11, 2015},
	pages		=	{190–196},
	year		=	{2015},
	doi		=	{10.1109/ICMLA.2015.158},
}

@inproceedings{RichthoferWiskott2015c,
	author		=	{Richthofer, Stefan and Wiskott, Laurenz},
	title		=	{Predictable Feature Analysis},
	booktitle	=	{Workshop New Challenges in Neural Computation 2015 (NC2)},
	pages		=	{68–75},
	year		=	{2015},
}

@inproceedings{RichthoferWiskott2015,
	author		=	{Richthofer, Stefan and Wiskott, Laurenz},
	title		=	{Predictable Feature Analysis.},
	booktitle	=	{2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA)},
	pages		=	{190–196},
	year		=	{2015},
	doi		=	{10.1109/ICMLA.2015.158},
}

@article{SchoenfeldWiskott2015,
	author		=	{Schoenfeld, Fabian and Wiskott, Laurenz},
	title		=	{Modeling place field activity with hierarchical slow feature analysis},
	journal		=	{Frontiers in Computational Neuroscience},
	volume		=	{9},
	number		=	{51},
	year		=	{2015},
	doi		=	{10.3389/fncom.2015.00051},
}

@article{SchönfeldWiskott2015,
	author		=	{Schönfeld, Fabian and Wiskott, Laurenz},
	title		=	{Modeling place field activity with hierarchical slow feature analysis},
	journal		=	{frontiers in Computational Neuroscience},
	volume		=	{9},
	number		=	{51},
	year		=	{2015},
	doi		=	{10.3389/fncom.2015.00051},
}

@article{DähneWilbertWiskott2014,
	author		=	{Dähne, Sven and Wilbert, Niko and Wiskott, Laurenz},
	title		=	{Slow Feature Analysis on Retinal Waves Leads to V1 Complex Cells.},
	journal		=	{PLoS Comput Biol},
	volume		=	{10},
	number		=	{5},
	pages		=	{e1003564},
	year		=	{2014},
	doi		=	{10.1371/journal.pcbi.1003564},
}

@article{SprekelerZitoWiskott2014,
	author		=	{Sprekeler, Henning and Zito, Tiziano and Wiskott, Laurenz},
	title		=	{An Extension of Slow Feature Analysis for Nonlinear Blind Source Separation},
	journal		=	{Journal of Machine Learning Research},
	volume		=	{15},
	pages		=	{921–947},
	year		=	{2014},
}

@inproceedings{WangJanckeWiskott2014,
	author		=	{Wang, Nan and Jancke, Dirk and Wiskott, Laurenz},
	title		=	{Modeling correlations in spontaneous activity of visual cortex with Gaussian-binary deep Boltzmann machines},
	booktitle	=	{Proc. Bernstein Conference for Computational Neuroscience, Sep 3–5,Göttingen, Germany},
	pages		=	{263–264},
	publisher	=	{BFNT Göttingen},
	year		=	{2014},
}

@inproceedings{WangJanckeWiskott2014b,
	author		=	{Wang, Nan and Jancke, Dirk and Wiskott, Laurenz},
	title		=	{Modeling correlations in spontaneous activity of visual cortex with centered Gaussian-binary deep Boltzmann machines},
	booktitle	=	{Proc. International Conference of Learning Representations (ICLR′14, workshop), Apr 14–16,Banff, Alberta, Canada},
	year		=	{2014},
}

@techreport{WangMelchiorWiskott2014,
	author		=	{Wang, Nan and Melchior, Jan and Wiskott, Laurenz},
	title		=	{Gaussian-binary Restricted Boltzmann Machines on Modeling Natural Image statistics},
	year		=	{2014},
}

@inproceedings{WeghenkelWiskott2014,
	author		=	{Weghenkel, Björn and Wiskott, Laurenz},
	title		=	{Learning predictive partitions for continuous feature spaces},
	booktitle	=	{Proc. 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Apr 23-25, Bruges, Belgium},
	pages		=	{577–582},
	year		=	{2014},
}

@article{WiskottWürtzWestphal2014,
	author		=	{Wiskott, Laurenz and Würtz, Rolf P. and Westphal, Günther},
	title		=	{Elastic Bunch Graph Matching},
	journal		=	{Scholarpedia},
	volume		=	{9},
	pages		=	{10587},
	year		=	{2014},
	doi		=	{10.4249/scholarpedia.10587},
}

@article{ZhangSchoenfeldWiskottEtAl2014,
	author		=	{Zhang, Sijie and Schoenfeld, Fabian and Wiskott, Laurenz and Manahan-Vaughan, Denise},
	title		=	{Spatial representations of place cells in darkness are supported by path integration and border information},
	journal		=	{Frontiers in Behavioral Neuroscience},
	volume		=	{8},
	number		=	{222},
	year		=	{2014},
	doi		=	{10.3389/fnbeh.2014.00222},
}

@article{AziziWiskottCheng2013,
	author		=	{Azizi, Amir Hossein and Wiskott, Laurenz and Cheng, Sen},
	title		=	{A computational model for preplay in the hippocampus},
	journal		=	{Frontiers in Computational Neuroscience},
	volume		=	{7},
	pages		=	{161},
	year		=	{2013},
	doi		=	{10.3389/fncom.2013.00161},
}

@misc{Escalante-B.Wiskott2013,
	author		=	{Escalante-B., Alberto-N. and Wiskott, Laurenz},
	title		=	{How to Solve Classification and Regression Problems on High-Dimensional Data with a Supervised Extension of Slow Feature Analysis},
	howpublished	=	{Cognitive Sciences EPrint Archive (CogPrints)},
	year		=	{2013},
}

@article{Escalante-B.Wiskott2013b,
	author		=	{Escalante-B., Alberto N. and Wiskott, Laurenz},
	title		=	{How to Solve Classification and Regression Problems on High-Dimensional Data with a Supervised Extension of Slow Feature Analysis},
	journal		=	{Journal of Machine Learning Research},
	volume		=	{14},
	pages		=	{3683–3719},
	year		=	{2013},
}

@article{KrügerJanssenKalkanEtAl2013,
	author		=	{Krüger, N. and Janssen, P. and Kalkan, S. and Lappe, M. and Leonardis, A. and Piater, J. and Rodriguez-Sanchez, A. and Wiskott, L.},
	title		=	{Deep Hierarchies in the Primate Visual Cortex: What Can We Learn For Computer Vision?},
	journal		=	{IEEE Trans. on Pattern Analysis and Machine Intelligence},
	volume		=	{35},
	number		=	{8},
	pages		=	{1847–1871},
	year		=	{2013},
	doi		=	{10.1109/TPAMI.2012.272},
}

@techreport{MelchiorFischerWangEtAl2013,
	author		=	{Melchior, Jan and Fischer, Asja and Wang, Nan and Wiskott, Laurenz},
	title		=	{How to Center Binary Restricted Boltzmann Machines},
	year		=	{2013},
}

@misc{NeherChengWiskott2013,
	author		=	{Neher, Torsten and Cheng, Sen and Wiskott, Laurenz},
	title		=	{Are memories really stored in the hippocampal CA3 region?},
	year		=	{2013},
}

@inproceedings{NeherChengWiskott2013b,
	author		=	{Neher, Torsten and Cheng, Sen and Wiskott, Laurenz},
	title		=	{Are memories really stored in the hippocampal CA3 region?},
	booktitle	=	{Proc. 10th Göttinger Meeting of the German Neuroscience Society, Mar 13-16, Göttingen, Germany},
	pages		=	{104},
	year		=	{2013},
}

@misc{RichthoferWiskott2013,
	author		=	{Richthofer, Stefan and Wiskott, Laurenz},
	title		=	{Predictable Feature Analysis},
	howpublished	=	{e-print arXiv:1311.2503},
	year		=	{2013},
}

@article{SchoenfeldWiskott2013,
	author		=	{Schoenfeld, Fabian and Wiskott, Laurenz},
	title		=	{RatLab: An easy to use tool for place code simulations},
	journal		=	{Frontiers in Computational Neuroscience},
	volume		=	{7},
	number		=	{104},
	year		=	{2013},
	doi		=	{10.3389/fncom.2013.00104},
}

@article{WangJanckeWiskott2013,
	author		=	{Wang, Nan and Jancke, Dirk and Wiskott, Laurenz},
	title		=	{Modeling correlations in spontaneous activity of visual cortex with centered Gaussian-binary deep Boltzmann machines},
	journal		=	{arXiv preprint arXiv:1312.6108},
	year		=	{2013},
}

@incollection{Wiskott2013,
	author		=	{Wiskott, Laurenz},
	title		=	{Slow Feature Analysis},
	booktitle	=	{Encyclopedia of Computational Neuroscience},
	editor		=	{Jaeger, D and Jung, R},
	publisher	=	{Springer-Verlag Berlin Heidelberg},
	year		=	{2013},
	doi		=	{10.1007/978-1-4614-6675-8_682},
}

@article{Escalante-B.Wiskott2012,
	author		=	{Escalante-B., Alberto N. and Wiskott, Laurenz},
	title		=	{Slow Feature Analysis: Perspectives for Technical Applications of a Versatile Learning Algorithm},
	journal		=	{Künstliche Intelligenz [Artificial Intelligence]},
	volume		=	{26},
	number		=	{4},
	pages		=	{341–348},
	year		=	{2012},
}

@inproceedings{RichthoferWeghenkelWiskott2012,
	author		=	{Richthofer, Stefan and Weghenkel, Björn and Wiskott, Laurenz},
	title		=	{Predictable Feature Analysis},
	booktitle	=	{Proc. Bernstein Conference on Computational Neuroscience, Sep 12–14, Munich, Germany},
	volume		=	{},
	year		=	{2012},
	doi		=	{10.3389/conf.fncom.2012.55.00120},
}

@misc{SchönfeldWiskott2012b,
	author		=	{Schönfeld, Fabian and Wiskott, Laurenz},
	title		=	{Sensory integration of place and head-direction cells in a virtual environment},
	howpublished	=	{Poster at NeuroVisionen 8, 26. Oct 2012, Aachen, Germany},
	year		=	{2012},
}

@misc{SchönfeldWiskott2012,
	author		=	{Schönfeld, Fabian and Wiskott, Laurenz},
	title		=	{Sensory integration of place and head-direction cells in a virtual environment},
	howpublished	=	{Poster at the 8th FENS Forum of Neuroscience, Jul 14–18, Barcelona, Spain},
	year		=	{2012},
}

@inproceedings{WangMelchiorWiskott2012,
	author		=	{Wang, Nan and Melchior, Jan and Wiskott, Laurenz},
	title		=	{An Analysis of Gaussian-Binary Restricted Boltzmann Machines for Natural Images},
	booktitle	=	{Proc. 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 25–27, Bruges, Belgium},
	pages		=	{287–292},
	year		=	{2012},
}

@article{WiskottBerkesFranziusEtAl2011,
	author		=	{Wiskott, L. and Berkes, P. and Franzius, M. and Sprekeler, H. and Wilbert, N.},
	title		=	{Slow feature analysis},
	journal		=	{Scholarpedia},
	volume		=	{6},
	number		=	{4},
	pages		=	{5282},
	month		=	{April},
	year		=	{2011},
	doi		=	{10.4249/scholarpedia.5282},
}

@inproceedings{EscalanteWiskott2011,
	author		=	{Escalante, Alberto and Wiskott, Laurenz},
	title		=	{Heuristic Evaluation of Expansions for Non-Linear Hierarchical Slow Feature Analysis.},
	booktitle	=	{Proc. The 10th Intl. Conf. on Machine Learning and Applications (ICMLA′11), Dec 18–21, Honolulu, Hawaii},
	pages		=	{133–138},
	publisher	=	{IEEE Computer Society},
	year		=	{2011},
	doi		=	{10.1109/ICMLA.2011.72},
}

@article{SprekelerWiskott2011,
	author		=	{Sprekeler, Henning and Wiskott, Laurenz},
	title		=	{A theory of Slow Feature Analysis for transformation-based input signals with an application to complex cells},
	journal		=	{Neural Computation},
	volume		=	{23},
	number		=	{2},
	pages		=	{303–335},
	year		=	{2011},
	doi		=	{10.1162/NECO_a_00072},
}

@inproceedings{EscalanteWiskott2010,
	author		=	{Escalante, Alberto and Wiskott, Laurenz},
	title		=	{Gender and Age Estimation from Synthetic Face Images with Hierarchical Slow Feature Analysis.},
	booktitle	=	{International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU′10), Jun 28 – Jul 2, Dortmund},
	year		=	{2010},
}

@inproceedings{WiskottFranziusBerkesEtAl2007,
	author		=	{Wiskott, Laurenz and Franzius, Mathias and Berkes, Pietro and Sprekeler, Henning},
	title		=	{Is slowness a learning principle of the visual system?},
	booktitle	=	{Proc. 39th European Brain and Behaviour Society Meeting (EBBS), Sep 15–19, Triest, Italy},
	editor		=	{Treves, Alessandro and Battaglini, P. Paolo and Chelazzi, Leonardo and Diamond, Mathew and Vallortigara, Giorgio},
	pages		=	{14–15},
	year		=	{2007},
}

@inproceedings{WiskottSprekelerBerkes2007,
	author		=	{Wiskott, Laurenz and Sprekeler, Henning and Berkes, Pietro},
	title		=	{Towards an analytical derivation of complex cell receptive field properties},
	booktitle	=	{Proc. 7th Göttingen Meeting of the German Neuroscience Society, Mar 29 – Apr 1, Göttingen, Germany},
	pages		=	{S12–2},
	year		=	{2007},
}

@inproceedings{SprekelerWiskott2006d,
	author		=	{Sprekeler, Henning and Wiskott, Laurenz},
	title		=	{Analytical derivation of complex cell properties from the slowness principle},
	booktitle	=	{Proc. 2nd Bernstein Symposium for Computational Neuroscience, Oct 1–3, Berlin, Germany},
	pages		=	{67},
	publisher	=	{Bernstein Center for Computational Neuroscience (BCCN) Berlin},
	month		=	{October},
	year		=	{2006},
}

@inproceedings{SprekelerWiskott2006c,
	author		=	{Sprekeler, Henning and Wiskott, Laurenz},
	title		=	{Analytical derivation of complex cell properties from the slowness principle},
	booktitle	=	{Proc. Conference on Mathematical Neuroscience (NEUROMATH 06), Sep 1-4, Andorra},
	pages		=	{62},
	month		=	{September},
	year		=	{2006},
}

@inproceedings{SprekelerWiskott2006,
	author		=	{Sprekeler, H. and Wiskott, L.},
	title		=	{Analytical derivation of complex cell properties from the slowness principle},
	booktitle	=	{Proc. Berlin Neuroscience Forum, Jun 8–10, Bad Liebenwalde, Germany},
	pages		=	{65–66},
	publisher	=	{Max-Delbrück-Centrum für Molekulare Medizin (MDC)},
	address		=	{Berlin},
	year		=	{2006},
}

@inproceedings{SprekelerWiskott2006b,
	author		=	{Sprekeler, Henning and Wiskott, Laurenz},
	title		=	{Analytical derivation of complex cell properties from the slowness principle},
	booktitle	=	{Proc. 15th Annual Computational Neuroscience Meeting (CNS′06), Jul 16–20, Edinburgh, Scotland},
	year		=	{2006},
}

@article{MelchiorAltamimiBayatiEtAl0,
	author		=	{Melchior, Jan and Altamimi, Aya and Bayati, Mehdi and Cheng, Sen and Wiskott, Laurenz},
	title		=	{A Hippocampus Model for Online One-Shot Storage of Pattern Sequences},
	journal		=	{PLOS ONE},
	month		=	{May},
	year		=	{accepted},
	doi		=	{10.1371/journal.pone.0304076},
}

@mastersthesis{Hark2022,
	author		=	{Hark, Niklas},
	title		=	{Memory Modules for Deep Learning},
	school		=	{Institute of Neural Computation, Ruhr University Bochum},
	address		=	{Bochum, Germany},
	month		=	{May},
	year		=	{2022},
}

@mastersthesis{Rath-Manakidis2021,
	author		=	{Rath-Manakidis, Pavlos},
	title		=	{Interaction of Ensembling and Double Descent in Deep Neural Networks},
	school		=	{Cognitive Science, Ruhr University Bochum, Germany},
	month		=	{March},
	year		=	{2021},
}

@mastersthesis{Ghazinouri2020,
	author		=	{Ghazinouri, Behnam},
	title		=	{Dynamical decoding of oscillatory neural activity during extinction learning using artificial neural networks},
	school		=	{Physics, Ruhr University Bochum, Germany},
	month		=	{November},
	year		=	{2020},
}

@mastersthesis{Hebing2012,
	author		=	{Hebing, Philipp},
	title		=	{Nutzung von Slow Feature Analysis in der Roboter-Navigation},
	school		=	{ET-IT Dept., Univ. of Bochum, Germany},
	month		=	{December},
	type		=	{B.Sc. thesis},
	year		=	{2012},
}