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Patricia Wollstadt
Patricia Wollstadt
Honda Research Institute Europe GmbH
Bestätigte E-Mail-Adresse bei honda-ri.de
Titel
Zitiert von
Zitiert von
Jahr
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
1362014
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
972019
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
832019
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
652014
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
582017
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
522017
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
402017
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
282021
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
212019
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
202020
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
192021
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
182012
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
162023
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
162022
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
162013
A Graph Algorithmic Approach to Separate Direct from Indirect Neural Interactions
P Wollstadt, U Meyer, M Wibral
PLoS ONE 10 (10), e0140530, 2015
142015
Measuring spectrally-resolved information transfer
E Pinzuti, P Wollstadt, A Gutknecht, O Tüscher, M Wibral
PLoS computational biology 16 (12), e1008526, 2020
132020
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
122015
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
102019
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
92020
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