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Jakob Heinzle
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2020 – today
- 2023
- [j18]Herman Galioulline, Stefan Frässle, Samuel J. Harrison, Inês Pereira, Jakob Heinzle, Klaas Enno Stephan:
Predicting future depressive episodes from resting-state fMRI with generative embedding. NeuroImage 273: 119986 (2023) - 2022
- [j17]Lars Kasper, Maria Engel, Jakob Heinzle, Matthias Mueller-Schrader, Nadine N. Graedel, Jonas Reber, Thomas Schmid, Christoph Barmet, Bertram J. Wilm, Klaas Enno Stephan, Klaas P. Pruessmann:
Advances in spiral fMRI: A high-resolution study with single-shot acquisition. NeuroImage 246: 118738 (2022) - 2021
- [j16]Samuel J. Harrison, Samuel Bianchi, Jakob Heinzle, Klaas Enno Stephan, Sandra Iglesias, Lars Kasper:
A Hilbert-based method for processing respiratory timeseries. NeuroImage 230: 117787 (2021) - [j15]Dario Schöbi, Fabienne Homberg, Stefan Frässle, Heike Endepols, Rosalyn J. Moran, Karl J. Friston, Marc Tittgemeyer, Jakob Heinzle, Klaas Enno Stephan:
Model-based prediction of muscarinic receptor function from auditory mismatch negativity responses. NeuroImage 237: 118096 (2021) - [j14]Dario Schöbi, Cao-Tri Do, Stefan Frässle, Marc Tittgemeyer, Jakob Heinzle, Klaas Enno Stephan:
Technical note: A fast and robust integrator of delay differential equations in DCM for electrophysiological data. NeuroImage 244: 118567 (2021) - [j13]Inês Pereira, Stefan Frässle, Jakob Heinzle, Dario Schöbi, Cao-Tri Do, Moritz Gruber, Klaas E. Stephan:
Conductance-based dynamic causal modeling: A mathematical review of its application to cross-power spectral densities. NeuroImage 245: 118662 (2021)
2010 – 2019
- 2019
- [j12]Gabor Stefanics, Klaas Enno Stephan, Jakob Heinzle:
Feature-specific prediction errors for visual mismatch. NeuroImage 196: 142-151 (2019) - [j11]Klaas E. Stephan, Frederike Petzschner, Lars Kasper, Johanna M. M. Bayer, Katharina V. Wellstein, Gabor Stefanics, Klaas P. Pruessmann, Jakob Heinzle:
Laminar fMRI and computational theories of brain function. NeuroImage 197: 699-706 (2019) - [j10]Karl J. Friston, Katrin H. Preller, Christoph Mathys, Hayriye Cagnan, Jakob Heinzle, Adeel Razi, Peter Zeidman:
Dynamic causal modelling revisited. NeuroImage 199: 730-744 (2019) - 2017
- [j9]Eduardo A. Aponte, Dario Schöbi, Klaas E. Stephan, Jakob Heinzle:
The Stochastic Early Reaction, Inhibition, and late Action (SERIA) model for antisaccades. PLoS Comput. Biol. 13(8) (2017) - 2016
- [j8]Jakob Heinzle, Peter J. Koopmans, Hanneke E. M. den Ouden, Sudhir Raman, Klaas Enno Stephan:
A hemodynamic model for layered BOLD signals. NeuroImage 125: 556-570 (2016) - 2014
- [j7]Fatma Imamoglu, Jakob Heinzle, Adrian Imfeld, John-Dylan Haynes:
Activity in high-level brain regions reflects visibility of low-level stimuli. NeuroImage 102: 688-694 (2014) - 2011
- [j6]Christian Kalberlah, Yi Chen, Jakob Heinzle, John-Dylan Haynes:
Beyond topographic representation: Decoding visuospatial attention from local activity patterns in the human frontal cortex. Int. J. Imaging Syst. Technol. 21(2): 201-210 (2011) - [j5]Joseph T. Lizier, Jakob Heinzle, Annette Horstmann, John-Dylan Haynes, Mikhail Prokopenko:
Multivariate information-theoretic measures reveal directed information structure and task relevant changes in fMRI connectivity. J. Comput. Neurosci. 30(1): 85-107 (2011) - [j4]Silke Anders, Jakob Heinzle, Nikolaus Weiskopf, Thomas Ethofer, John-Dylan Haynes:
Flow of affective information between communicating brains. NeuroImage 54(1): 439-446 (2011) - [j3]Yi Chen, Praneeth Namburi, Lloyd T. Elliott, Jakob Heinzle, Chun Siong Soon, Michael W. L. Chee, John-Dylan Haynes:
Cortical surface-based searchlight decoding. NeuroImage 56(2): 582-592 (2011) - [j2]Thorsten Kahnt, Jakob Heinzle, Soyoung Q. Park, John-Dylan Haynes:
Decoding different roles for vmPFC and dlPFC in multi-attribute decision making. NeuroImage 56(2): 709-715 (2011) - [j1]Jakob Heinzle, Thorsten Kahnt, John-Dylan Haynes:
Topographically specific functional connectivity between visual field maps in the human brain. NeuroImage 56(3): 1426-1436 (2011)
2000 – 2009
- 2002
- [c1]Jakob Heinzle, Alan Stocker:
Classifying Patterns of Visual Motion - a Neuromorphic Approach. NIPS 2002: 1123-1130
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