| 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 | 105 | 2014 |
| 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 | 53 | 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 | 43 | 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 | 39 | 2019 |
| 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 | 37 | 2017 |
| 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 | 36 | 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 | 31 | 2017 |
| 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 | 16 | 2012 |
| A Graph Algorithmic Approach to Separate Direct from Indirect Neural Interactions P Wollstadt, U Meyer, M Wibral PLoS ONE 10 (10), e0140530, 2015 | 13 | 2015 |
| Need for and challenges facing functional communication as outcome parameter in AD clinical trials J Haberstroh, P Wollstadt, M Knebel, F Oswald, J Schröder, J Pantel Alzheimer Disease & Associated Disorders 27 (4), 293-301, 2013 | 11 | 2013 |
| Predictive coding over the lifespan: Increased reliance on perceptual priors in older adults–a magnetoencephalography and dynamic causal modelling study JS Chan, M Wibral, P Wollstadt, C Stawowsky, M Brandl, S Helbling, ... bioRxiv, 178095, 2017 | 9 | 2017 |
| Anesthesia-related changes in information transfer may be caused by reduction in local information generation P Wollstadt, KK Sellers, A Hutt, F Frohlich, M Wibral 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 8 | 2015 |
| 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 | 5 | 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 | 4 | 2019 |
| 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 | 3 | 2020 |
| 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 | 3 | 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 | 2 | 2021 |
| Quantifying the predictability of visual scanpaths using active information storage P Wollstadt, M Hasenjäger, CB Wiebel-Herboth Entropy 23 (2), 167, 2021 | 2 | 2021 |
| Measuring spectrally-resolved information transfer E Pinzuti, P Wollstadt, A Gutknecht, O Tüscher, M Wibral PLoS Computational Biology 16 (12), e1008526, 2020 | 2 | 2020 |
| Learning Time-Series Data of Industrial Design Optimization using Recurrent Neural Networks S Saha, T Rios, S Menzel, B Sendhoff, T Bäck, X Yao, Z Xu, P Wollstadt 2019 International Conference on Data Mining Workshops (ICDMW), 785-792, 2019 | 2 | 2019 |
Michael WibralProfessor for Data Driven Analysis of Biological Networks, Georg-August University, GöttingenBestätigte E-Mail-Adresse bei michael-wibral.de
