| Efficient transfer entropy analysis of non-stationary neural time series P Wollstadt, M Martínez-Zarzuela, R Vicente, FJ Díaz-Pernas, M Wibral PloS one 9 (7), e102833, 2014 | 155 | 2014 |
| IDTxl: The Information Dynamics Toolkit xl: a Python package for the efficient analysis of multivariate information dynamics in networks P Wollstadt, JT Lizier, R Vicente, C Finn, M Martınez-Zarzuela, P Mediano, ... Journal of Open Source Software 4 (34), 1081, 2019 | 126 | 2019 |
| Large-scale directed network inference with multivariate transfer entropy and hierarchical statistical testing L Novelli, P Wollstadt, P Mediano, M Wibral, JT Lizier Network Neuroscience 3 (3), 827-847, 2019 | 107 | 2019 |
| Reduced predictable information in brain signals in autism spectrum disorder C Gómez, JT Lizier, M Schaum, P Wollstadt, C Grützner, P Uhlhaas, ... Frontiers in neuroinformatics 8, 9, 2014 | 72 | 2014 |
| Quantifying information modification in developing neural networks via partial information decomposition M Wibral, C Finn, P Wollstadt, JT Lizier, V Priesemann Entropy 19 (9), 494, 2017 | 70 | 2017 |
| Breakdown of local information processing may underlie isoflurane anesthesia effects P Wollstadt, KK Sellers, L Rudelt, V Priesemann, A Hutt, F Fröhlich, ... PLoS computational biology 13 (6), e1005511, 2017 | 56 | 2017 |
| Information-theoretic evidence for predictive coding in the face-processing system A Brodski-Guerniero, GF Paasch, P Wollstadt, I Özdemir, JT Lizier, ... Journal of Neuroscience 37 (34), 8273-8283, 2017 | 49 | 2017 |
| A rigorous information-theoretic definition of redundancy and relevancy in feature selection based on (partial) information decomposition P Wollstadt, S Schmitt, M Wibral Journal of Machine Learning Research 24 (131), 1-44, 2023 | 40 | 2023 |
| Predictive coding over the lifespan: increased reliance on perceptual priors in older adults—A magnetoencephalography and dynamic causal modeling study JS Chan, M Wibral, C Stawowsky, M Brandl, S Helbling, MJ Naumer, ... Frontiers in aging neuroscience 13, 631599, 2021 | 39* | 2021 |
| CarHoods10k: An industry-grade data set for representation learning and design optimization in engineering applications P Wollstadt, M Bujny, S Ramnath, JJ Shah, D Detwiler, S Menzel IEEE Transactions on Evolutionary Computation 26 (6), 1221-1235, 2022 | 31 | 2022 |
| Feature visualization for 3D point cloud autoencoders T Rios, B van Stein, S Menzel, T Back, B Sendhoff, P Wollstadt 2020 International Joint Conference on Neural Networks (IJCNN), 1-9, 2020 | 25 | 2020 |
| Automatically generating 60,000 CAD variants for big data applications S Ramnath, P Haghighi, JH Kim, D Detwiler, M Berry, JJ Shah, N Aulig, ... International Design Engineering Technical Conferences and Computers and …, 2019 | 25 | 2019 |
| A partial information decomposition for discrete and continuous variables K Schick-Poland, A Makkeh, AJ Gutknecht, P Wollstadt, A Sturm, M Wibral arXiv preprint arXiv:2106.12393, 2021 | 21 | 2021 |
| Quantifying the generative capabilities of variational autoencoders for 3D car point clouds S Saha, S Menzel, LL Minku, X Yao, B Sendhoff, P Wollstadt 2020 ieee symposium series on computational intelligence (ssci), 1469-1477, 2020 | 20 | 2020 |
| Revisiting Wiener's principle of causality—interaction-delay reconstruction using transfer entropy and multivariate analysis on delay-weighted graphs M Wibral, P Wollstadt, U Meyer, N Pampu, V Priesemann, R Vicente 2012 Annual International Conference of the IEEE Engineering in Medicine and …, 2012 | 19 | 2012 |
| Measuring spectrally-resolved information transfer E Pinzuti, P Wollstadt, A Gutknecht, O Tüscher, M Wibral PLoS computational biology 16 (12), e1008526, 2020 | 18 | 2020 |
| Exploiting generative models for performance predictions of 3D car designs S Saha, T Rios, LL Minku, BV Stein, P Wollstadt, X Yao, T Back, ... 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 1-9, 2021 | 17 | 2021 |
| Exploiting local geometric features in vehicle design optimization with 3D point cloud autoencoders T Rios, B van Stein, P Wollstadt, T Bäck, B Sendhoff, S Menzel 2021 IEEE Congress on Evolutionary Computation (CEC), 514-521, 2021 | 16 | 2021 |
| Scalability of learning tasks on 3d cae models using point cloud autoencoders T Rios, P Wollstadt, B Van Stein, T Bäck, Z Xu, B Sendhoff, S Menzel 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 1367-1374, 2019 | 16 | 2019 |
| A Graph Algorithmic Approach to Separate Direct from Indirect Neural Interactions P Wollstadt, U Meyer, M Wibral PLoS ONE 10 (10), e0140530, 2015 | 16 | 2015 |
Michael WibralProfessor for Data Driven Analysis of Biological Networks, Georg-August University, GöttingenZweryfikowany adres z michael-wibral.de
