Patricia Wollstadt
Patricia Wollstadt
Honda Research Institute Europe GmbH
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Zitiert von
Zitiert von
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
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
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
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
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
A Graph Algorithmic Approach to Separate Direct from Indirect Neural Interactions
P Wollstadt, U Meyer, M Wibral
PLoS ONE 10 (10), e0140530, 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
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
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
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
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
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
A Compact Spectral Descriptor for Shape Deformations
S Sible, R Iza-Teran, J Garcke, N Aulig, P Wollstadt
arXiv preprint arXiv:2003.08758, 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
Measuring Information Processing in Neural Data: The Application of Transfer Entropy in Neuroscience
P Wollstadt
Goethe University Frankfurt, Frankfurt am Main, Germany, 2018
Information-Theoretic Evidence for Predictive Coding in the Face-Processing System
J Lizier, A Brodski-Guerniero, I Ozdemir, GF Paasch, M Wibral, ...
Society for Neuroscience, 2017
Quantifying Information Modification in Developing Neural Networks via Partial Information Decomposition
C Finn, J Lizier, V Priesemann, M Wibral, P Wollstadt
Molecular Diversity Preservation International, 2017
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