All Stories

  1. Gaining Insights into Group-Level Course Difficulty via Differential Course Functioning

    Article • July 2024, ACM (Association for Computing Machinery)

    Conrad Borchers, Zach Pardos, Professor Laurenz Wiskott

  2. A neural network model for online one-shot storage of pattern sequences

    Article • PLoS ONE, June 2024, PLOS

    Professor Laurenz Wiskott

  3. Gaining Insights into Course Difficulty Variations Using Item Response Theory

    Article • March 2024, ACM (Association for Computing Machinery)

    Professor Laurenz Wiskott

  4. tachAId—An interactive tool supporting the design of human-centered AI solutions

    Article • Frontiers in Artificial Intelligence, March 2024, Frontiers

    Professor Laurenz Wiskott

  5. Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-visual Environments: A Comparison

    Article • January 2024, Springer Science + Business Media

    Professor Laurenz Wiskott

  6. Ökolopoly: Case Study on Large Action Spaces in Reinforcement Learning

    Article • January 2024, Springer Science + Business Media

    Professor Laurenz Wiskott

  7. Exploring the Reliability of SHAP Values in Reinforcement Learning

    Article • January 2024, Springer Science + Business Media

    Professor Laurenz Wiskott

  8. Empowering Advisors: Designing a Dashboard for University Student Guidance

    Article • January 2024, Springer Science + Business Media

    Professor Laurenz Wiskott

  9. A map of spatial navigation for neuroscience

    Article • Neuroscience & Biobehavioral Reviews, September 2023, Elsevier

    Professor Laurenz Wiskott, Sen Cheng

  10. Iterative Oblique Decision Trees Deliver Explainable RL Models

    Article • Algorithms, May 2023, MDPI AG

    Professor Laurenz Wiskott

  11. Iterative Oblique Decision Trees Deliver Explainable RL Models

    Article • April 2023, MDPI AG

    Professor Laurenz Wiskott

  12. Modeling the function of episodic memory in spatial learning

    Article • Frontiers in Psychology, April 2023, Frontiers

    Professor Laurenz Wiskott, Sen Cheng

  13. Modularity in Nervous Systems—a Key to Efficient Adaptivity for Deep Reinforcement Learning

    Article • Cognitive Computation, January 2023, Springer Science + Business Media

    Professor Laurenz Wiskott

  14. Sample-Based Rule Extraction for Explainable Reinforcement Learning

    Article • January 2023, Springer Science + Business Media

    Professor Laurenz Wiskott

  15. A Model of Semantic Completion in Generative Episodic Memory

    Article • Neural Computation, August 2022, The MIT Press

    Professor Laurenz Wiskott, Sen Cheng

  16. Latent Representation Prediction Networks

    Article • International Journal of Pattern Recognition and Artificial Intelligence, December 2021, World Scientific Pub Co Pte Lt

    Professor Laurenz Wiskott

  17. The computational benefits of episodic memory in spatial learning

    Article • November 2021, Cold Spring Harbor Laboratory Press

    Professor Laurenz Wiskott, Sen Cheng

  18. Context-dependent extinction learning emerging from raw sensory inputs: a reinforcement learning approach

    Article • Scientific Reports, February 2021, Springer Science + Business Media

    Professor Laurenz Wiskott, Sen Cheng

  19. Cover Image, Volume 30, Issue 6

    Article • Hippocampus, June 2020, Wiley

    Professor Laurenz Wiskott, Sen Cheng

  20. Context-dependent extinction learning emerging from raw sensory inputs: A reinforcement learning approach

    Article • April 2020, Cold Spring Harbor Laboratory Press

    Professor Laurenz Wiskott, Sen Cheng

  21. Laplacian Matrix for Dimensionality Reduction and Clustering

    Article • January 2020, Springer Science + Business Media

    Professor Laurenz Wiskott

  22. Improving sensory representations using episodic memory

    Article • Hippocampus, December 2019, Wiley

    Professor Laurenz Wiskott, Sen Cheng

  23. Improved graph-based SFA: information preservation complements the slowness principle

    Article • Machine Learning, December 2019, Springer Science + Business Media

    Professor Laurenz Wiskott

  24. Storage fidelity for sequence memory in the hippocampal circuit

    Article • PLoS ONE, October 2018, PLOS

    Professor Laurenz Wiskott, Sen Cheng

  25. Slowness as a Proxy for Temporal Predictability: An Empirical Comparison

    Article • Neural Computation, May 2018, The MIT Press

    Professor Laurenz Wiskott

  26. Modelling how different memory systems affect each other

    Article • Neural Computation, February 2018, The MIT Press

    Sen Cheng, Professor Laurenz Wiskott

  27. 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2

    Article • BMC Neuroscience, August 2017, Springer Science + Business Media

    Professor Laurenz Wiskott, Sen Cheng

  28. Experience-Dependency of Reliance on Local Visual and Idiothetic Cues for Spatial Representations Created in the Absence of Distal Information

    Article • Frontiers in Behavioral Neuroscience, June 2017, Frontiers

    Professor Laurenz Wiskott

  29. Graph-based predictable feature analysis

    Article • Machine Learning, May 2017, Springer Science + Business Media

    Professor Laurenz Wiskott

  30. Gaussian-binary restricted Boltzmann machines for modeling natural image statistics

    Article • PLoS ONE, February 2017, PLOS

    Professor Laurenz Wiskott

  31. Predictable Feature Analysis

    Article • December 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Laurenz Wiskott

  32. Modeling place field activity with hierarchical slow feature analysis

    Article • Frontiers in Computational Neuroscience, May 2015, Frontiers

    Professor Laurenz Wiskott

  33. Memory Storage Fidelity in the Hippocampal Circuit: The Role of Subregions and Input Statistics

    Article • PLoS Computational Biology, May 2015, PLOS

    Professor Laurenz Wiskott, Sen Cheng

  34. Slow Feature Analysis

    Article • January 2015, Springer Science + Business Media

    Professor Laurenz Wiskott

  35. Spatial representations of place cells in darkness are supported by path integration and border information

    Article • Frontiers in Behavioral Neuroscience, June 2014, Frontiers

    Professor Laurenz Wiskott

  36. Slow Feature Analysis on Retinal Waves Leads to V1 Complex Cells

    Article • PLoS Computational Biology, May 2014, PLOS

    Professor Laurenz Wiskott

  37. Elastic Bunch Graph Matching

    Article • Scholarpedia, January 2014, Scholarpedia

    Professor Laurenz Wiskott

  38. Building extensible frameworks for data processing: The case of MDP, Modular toolkit for Data Processing

    Article • Journal of Computational Science, September 2013, Elsevier

    Professor Laurenz Wiskott

  39. Deep Hierarchies in the Primate Visual Cortex: What Can We Learn for Computer Vision?

    Article • IEEE Transactions on Pattern Analysis and Machine Intelligence, August 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Laurenz Wiskott

  40. Multivariate Slow Feature Analysis and Decorrelation Filtering for Blind Source Separation

    Article • IEEE Transactions on Image Processing, July 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Laurenz Wiskott

  41. A computational model for preplay in the hippocampus

    Article • Frontiers in Computational Neuroscience, January 2013, Frontiers

    Professor Laurenz Wiskott, Sen Cheng

  42. RatLab: an easy to use tool for place code simulations

    Article • Frontiers in Computational Neuroscience, January 2013, Frontiers

    Professor Laurenz Wiskott

  43. Slow Feature Analysis: Perspectives for Technical Applications of a Versatile Learning Algorithm

    Article • KI - Künstliche Intelligenz, April 2012, Springer Science + Business Media

    Professor Laurenz Wiskott

  44. Predictable Feature Analysis

    Article • Frontiers in Computational Neuroscience, January 2012, Frontiers

    Professor Laurenz Wiskott

  45. Heuristic Evaluation of Expansions for Non-linear Hierarchical Slow Feature Analysis

    Article • December 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Laurenz Wiskott

  46. Slow feature analysis and decorrelation filtering for separating correlated sources

    Article • November 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Laurenz Wiskott

  47. Invariant Object Recognition and Pose Estimation with Slow Feature Analysis

    Article • Neural Computation, September 2011, The MIT Press

    Professor Laurenz Wiskott

  48. A Theory of Slow Feature Analysis for Transformation-Based Input Signals with an Application to Complex Cells

    Article • Neural Computation, February 2011, The MIT Press

    Professor Laurenz Wiskott

  49. The Role of Additive Neurogenesis and Synaptic Plasticity in a Hippocampal Memory Model with Grid-Cell Like Input

    Article • PLoS Computational Biology, January 2011, PLOS

    Professor Laurenz Wiskott

  50. Slow feature analysis

    Article • Scholarpedia, January 2011, Scholarpedia

    Professor Laurenz Wiskott

  51. Reinforcement Learning on Slow Features of High-Dimensional Input Streams

    Article • PLoS Computational Biology, August 2010, PLOS

    Professor Laurenz Wiskott

  52. Hierarchical Slow Feature Analysis and Top-Down Processes

    Article • Frontiers in Computational Neuroscience, January 2010, Frontiers

    Professor Laurenz Wiskott

  53. Gender and Age Estimation from Synthetic Face Images

    Article • January 2010, Springer Science + Business Media

    Professor Laurenz Wiskott

  54. Self-organization of V1 Complex Cells Based On Slow Feature Analysis And Retinal Waves

    Article • Frontiers in Computational Neuroscience, January 2010, Frontiers

    Professor Laurenz Wiskott

  55. Additive neurogenesis as a strategy for avoiding interference in a sparsely-coding dentate gyrus

    Article • Network Computation in Neural Systems, January 2009, Taylor & Francis

    Professor Laurenz Wiskott

  56. Learning complex cell units from simulated prenatal retinal waves with slow feature analysis

    Article • BMC Neuroscience, January 2009, Springer Science + Business Media

    Professor Laurenz Wiskott

  57. Quantitative modeling of the dynamics of adult hippocampal neurogenesis in mice

    Article • BMC Neuroscience, January 2009, Springer Science + Business Media

    Professor Laurenz Wiskott

  58. Reinforcement learning on complex visual stimuli

    Article • BMC Neuroscience, January 2009, Springer Science + Business Media

    Professor Laurenz Wiskott

  59. Self-organization of place cells with slowness, sparseness, and neurogenesis

    Article • Frontiers in Behavioral Neuroscience, January 2009, Frontiers

    Professor Laurenz Wiskott

  60. Visualization of higher-level receptive fields in a hierarchical model of the visual system

    Article • BMC Neuroscience, January 2009, Springer Science + Business Media

    Professor Laurenz Wiskott

  61. Modular toolkit for Data Processing (MDP): a Python data processing framework

    Article • Frontiers in Neuroinformatics, January 2008, Frontiers

    Professor Laurenz Wiskott

  62. Independent Slow Feature Analysis and Nonlinear Blind Source Separation

    Article • Neural Computation, April 2007, The MIT Press

    Professor Laurenz Wiskott

  63. Analysis and interpretation of quadratic models of receptive fields

    Article • Nature Protocols, February 2007, Springer Science + Business Media

    Professor Laurenz Wiskott

  64. Slowness and Sparseness Lead to Place, Head-Direction, and Spatial-View Cells

    Article • PLoS Computational Biology, January 2007, PLOS

    Professor Laurenz Wiskott

  65. Spike-timing-dependent plasticity and temporal input statistics

    Article • BMC Neuroscience, January 2007, Springer Science + Business Media

    Professor Laurenz Wiskott

  66. Slowness: An Objective for Spike-Timing–Dependent Plasticity?

    Article • PLoS Computational Biology, January 2007, PLOS

    Professor Laurenz Wiskott

  67. From grids to places

    Article • Journal of Computational Neuroscience, December 2006, Springer Science + Business Media

    Professor Laurenz Wiskott

  68. What Is the Relation Between Slow Feature Analysis and Independent Component Analysis?

    Article • Neural Computation, October 2006, The MIT Press

    Professor Laurenz Wiskott

  69. On the Analysis and Interpretation of Inhomogeneous Quadratic Forms as Receptive Fields

    Article • Neural Computation, August 2006, The MIT Press

    Professor Laurenz Wiskott

  70. How Does Our Visual System Achieve Shift and Size Invariance?

    Article • January 2006, Oxford University Press (OUP)

    Professor Laurenz Wiskott

  71. A functional hypothesis for adult hippocampal neurogenesis: Avoidance of catastrophic interference in the dentate gyrus

    Article • Hippocampus, January 2006, Wiley

    Professor Laurenz Wiskott

  72. Slow feature analysis yields a rich repertoire of complex cell properties

    Article • Journal of Vision, July 2005, Association for Research in Vision and Ophthalmology (ARVO)

    Professor Laurenz Wiskott

  73. CuBICA: Independent Component Analysis by Simultaneous Third- and Fourth-Order Cumulant Diagonalization

    Article • IEEE Transactions on Signal Processing, May 2004, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Laurenz Wiskott

  74. Functional significance of adult neurogenesis

    Article • Current Opinion in Neurobiology, April 2004, Elsevier

    Professor Laurenz Wiskott

  75. Independent Slow Feature Analysis and Nonlinear Blind Source Separation

    Article • January 2004, Springer Science + Business Media

    Professor Laurenz Wiskott

  76. What is the Functional Role of New Neurons in the Adult Dentate Gyrus?

    Article • January 2004, Springer Science + Business Media

    Professor Laurenz Wiskott

  77. Slow Feature Analysis: A Theoretical Analysis of Optimal Free Responses

    Article • Neural Computation, September 2003, The MIT Press

    Professor Laurenz Wiskott

  78. Is slowness a learning principle of the visual cortex?

    Article • Zoology, January 2003, Elsevier

    Professor Laurenz Wiskott

  79. Slow Feature Analysis: Unsupervised Learning of Invariances

    Article • Neural Computation, April 2002, The MIT Press

    Professor Laurenz Wiskott

  80. An Improved Cumulant Based Method for Independent Component Analysis

    Article • January 2002, Springer Science + Business Media

    Professor Laurenz Wiskott

  81. Applying Slow Feature Analysis to Image Sequences Yields a Rich Repertoire of Complex Cell Properties

    Article • January 2002, Springer Science + Business Media

    Professor Laurenz Wiskott

  82. Segmentation from motion: combining Gabor- and Mallat-wavelets to overcome the aperture and correspondence problems

    Article • Pattern Recognition, October 1999, Elsevier

    Professor Laurenz Wiskott

  83. Learning invariance manifolds

    Article • Neurocomputing, June 1999, Elsevier

    Professor Laurenz Wiskott

  84. Objekterkennung in einem selbstorganisierenden neuronalen System

    Article • January 1999, Springer Science + Business Media

    Professor Laurenz Wiskott

  85. The role of topographical constraints in face recognition

    Article • Pattern Recognition Letters, January 1999, Elsevier

    Professor Laurenz Wiskott

  86. Constrained Optimization for Neural Map Formation: A Unifying Framework for Weight Growth and Normalization

    Article • Neural Computation, April 1998, The MIT Press

    Professor Laurenz Wiskott

  87. Learning Invariance Manifolds

    Article • January 1998, Springer Science + Business Media

    Professor Laurenz Wiskott

  88. Face recognition by elastic bunch graph matching

    Article • IEEE Transactions on Pattern Analysis and Machine Intelligence, July 1997, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Laurenz Wiskott

  89. Phantom faces for face analysis

    Article • Pattern Recognition, June 1997, Elsevier

    Professor Laurenz Wiskott

  90. Objective functions for neural map formation

    Article • January 1997, Springer Science + Business Media

    Professor Laurenz Wiskott

  91. Face recognition by elastic bunch graph matching

    Article • January 1997, Springer Science + Business Media

    Professor Laurenz Wiskott

  92. Phantom faces for face analysis

    Article • January 1997, Springer Science + Business Media

    Professor Laurenz Wiskott

  93. Segmentation from motion: Combining Gabor- and Mallat-wavelets to overcome aperture and correspondence problem

    Article • January 1997, Springer Science + Business Media

    Professor Laurenz Wiskott

  94. Recognizing Faces by Dynamic Link Matching

    Article • NeuroImage, December 1996, Elsevier

    Professor Laurenz Wiskott

  95. Reconstruction from graphs labeled with responses of Gabor filters

    Article • January 1996, Springer Science + Business Media

    Professor Laurenz Wiskott

  96. A NEURAL SYSTEM FOR THE RECOGNITION OF PARTIALLY OCCLUDED OBJECTS IN CLUTTERED SCENES: A PILOT STUDY

    Article • International Journal of Pattern Recognition and Artificial Intelligence, August 1993, World Scientific Pub Co Pte Lt

    Professor Laurenz Wiskott

  97. The Photorefractive Effect in LiNbo3 at High Light Internsity

    Article • phys stat sol (a), November 1991, Wiley

    Professor Laurenz Wiskott

  98. An experimental multiprocessor system for distributed parallel computations

    Article • Microprocessing and Microprogramming, February 1990, Elsevier

    Professor Laurenz Wiskott

  99. Invariant Object Recognition with Slow Feature Analysis

    Article • Springer Science + Business Media

    Professor Laurenz Wiskott

  100. Phantom faces for face analysis

    Article • Institute of Electrical & Electronics Engineers (IEEE)

    Professor Laurenz Wiskott