Author Wibral, Michael

1 to 9 of 9 Items
  • 2021 | Journal Article | 
    ​ ​The challenges of containing SARS-CoV-2 via test-trace-and-isolate​
    Contreras, S.; Dehning, J.; Loidolt, M.; Zierenberg, J.; Spitzner, F. P.; Urrea-Quintero, J. H. & Mohr, S. B. et al.​ (2021) 
    Nature Communications, 12(1).​ DOI: https://doi.org/10.1038/s41467-020-20699-8 
    ​Details  DOI 
  • 2022 | Preprint
    ​ ​A Measure of the Complexity of Neural Representations based on Partial Information Decomposition​
    Ehrlich, D. A.; Schneider, A. C.; Priesemann, V.; Wibral, M.& Makkeh, A.​ (2022). DOI: https://doi.org/10.48550/ARXIV.2209.10438 
    ​Details  DOI  arXiv 
  • 2023 | Journal Article
    ​ ​Information theoretic evidence for layer- and frequency-specific changes in cortical information processing under anesthesia​
    Pinzuti, E.; Wollstadt, P.; Tüscher, O. & Wibral, M.​ (2023) 
    PLoS Computational Biology, 19(1) art. e1010380​.​ DOI: https://doi.org/10.1371/journal.pcbi.1010380 
    ​Details  DOI 
  • 2023 | Journal Article
    ​ ​Information-theoretic analyses of neural data to minimize the effect of researchers’ assumptions in predictive coding studies​
    Wollstadt, P.; Rathbun, D. L.; Usrey, W. M.; Bastos, A. M.; Lindner, M.; Priesemann, V. & Wibral, M.​ (2023) 
    PLoS Computational Biology, 19(11) art. e1011567​.​ DOI: https://doi.org/10.1371/journal.pcbi.1011567 
    ​Details  DOI 
  • 2023 | Journal Article
    ​ ​A Rigorous Information-Theoretic Definition of Redundancy and Relevancy in Feature Selection Based on (Partial) Information Decomposition​
    Wollstadt, P.; Schmitt, S. & Wibral, M.​ (2023) 
    Journal of Machine Learning Research, 24 pp. 1​-44​.​
    ​Details  WoS 
  • 2023 | Preprint
    ​ ​Infomorphic networks: Locally learning neural networks derived from partial information decomposition​
    Graetz, M.; Makkeh, A.; Schneider, A. C.; Ehrlich, D. A.; Priesemann, V.& Wibral, M.​ (2023). DOI: https://doi.org/10.48550/ARXIV.2306.02149 
    ​Details  DOI 
  • 2023 | Journal Article | Overview
    ​ ​Where is the error? Hierarchical predictive coding through dendritic error computation​
    Mikulasch, F. A.; Rudelt, L.; Wibral, M. & Priesemann, V. ​ (2023) 
    Trends in Neurosciences, 46(1) pp. 45​-59​.​ DOI: https://doi.org/10.1016/j.tins.2022.09.007 
    ​Details  DOI  PMID  PMC 
  • 2024 | Journal Article
    ​ ​External cues improve visual working memory encoding in the presence of salient distractors in schizophrenia​
    Barnes-Scheufler, C. V.; Rösler, L.; Schaum, M.; Schiweck, C.; Peters, B.; Mayer, J. S. & Reif, A. et al.​ (2024) 
    Psychological Medicine, pp. 1​-10​.​ DOI: https://doi.org/10.1017/S0033291724000059 
    ​Details  DOI 
  • 2024 | Conference Paper | 
    ​ ​Testing Predictive Coding through an Information-Theoretic Analysis of Intracranial EEG Recordings​
    Fiorenza, J. P. & Wibral, M.​ (2024)
    ​Workshop Biosignals​, Göttingen. DOI: https://doi.org/10.47952/gro-publ-198 
    ​Details  DOI 

Researcher

Göttingen All

Sort

issue date

ASC DESC

Items per Page

10 20 50 100