Patricia Wollstadt
Patricia Wollstadt
Honda Research Institute Europe GmbH
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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
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
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
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
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
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
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
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
A Graph Algorithmic Approach to Separate Direct from Indirect Neural Interactions
P Wollstadt, U Meyer, M Wibral
PLoS ONE 10 (10), e0140530, 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
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
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
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
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
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
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
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
Quantifying the predictability of visual scanpaths using active information storage
P Wollstadt, M Hasenjäger, CB Wiebel-Herboth
Entropy 23 (2), 167, 2021
Measuring spectrally-resolved information transfer
E Pinzuti, P Wollstadt, A Gutknecht, O Tüscher, M Wibral
PLoS Computational Biology 16 (12), e1008526, 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
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