| 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 | 92 | 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 | 48 | 2014 |
| 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 | 32 | 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 | 28 | 2017 |
| 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 | 25 | 2019 |
| 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 | 25* | 2017 |
| 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 | 20 | 2019 |
| 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 | 11 | 2015 |
| 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 | 7 | 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 | 7 | 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 | 7 | 2013 |
| Feature Visualization for 3D Point Cloud Autoencoders T Rios, B van Stein, S Menzel, T Bäck, B Sendhoff, P Wollstadt | 3 | |
| 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 | 2 | 2019 |
| 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 | 2 | 2019 |
| 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 | 1 | 2019 |
| Measuring spectrally-resolved information transfer E Pinzuti, P Wollstadt, A Gutknecht, O Tüscher, M Wibral PLOS Computational Biology 16 (12), e1008526, 2020 | | 2020 |
| Quantifying the predictability of visual scanpaths using active information storage P Wollstadt, M Hasenjäger, CB Wiebel-Herboth arXiv preprint arXiv:2012.11447, 2020 | | 2020 |
| The Effects Of Non-linear Operators In Voxel-Based Deep Neural Networks For 3D Style Reconstruction T Friedrich, P Wollstadt, S Menzel 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 1460-1468, 2020 | | 2020 |
| Back To Meshes: Optimal Simulation-ready Mesh Prototypes For Autoencoder-based 3D Car Point Clouds T Rios, J Kong, B van Stein, T Bäck, P Wollstadt, B Sendhoff, S Menzel 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 942-949, 2020 | | 2020 |
Michael WibralProfessor for Data Driven Analysis of Biological Networks, Georg-August University, GöttingenBestätigte E-Mail-Adresse bei michael-wibral.de
