Jakob Heinzle - RankMe

20 papers Journal 19Unranked 1

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Refining the Allostatic Self-Efficacy Theory of Fatigue and Depression Using Causal Inference. Entropy Alexander J. Hess, Dina von Werder, Olivia K. Harrison, Jakob Heinzle, Klaas Enno Stephan
2023	J	`jnl`	Predicting future depressive episodes from resting-state fMRI with generative embedding. NeuroImage Herman Galioulline, Stefan Frässle, Samuel J. Harrison, Inês Pereira, Jakob Heinzle, Klaas Enno Stephan
2022	J	`jnl`	Advances in spiral fMRI: A high-resolution study with single-shot acquisition. NeuroImage 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
2021	J	`jnl`	A Hilbert-based method for processing respiratory timeseries. NeuroImage Samuel J. Harrison, Samuel Bianchi, Jakob Heinzle, Klaas Enno Stephan, Sandra Iglesias, Lars Kasper
2021	J	`jnl`	Conductance-based dynamic causal modeling: A mathematical review of its application to cross-power spectral densities. NeuroImage Inês Pereira, Stefan Frässle, Jakob Heinzle, Dario Schöbi, Cao-Tri Do, Moritz Gruber, Klaas E. Stephan
2021	J	`jnl`	Model-based prediction of muscarinic receptor function from auditory mismatch negativity responses. NeuroImage Dario Schöbi, Fabienne Homberg, Stefan Frässle, Heike Endepols, Rosalyn J. Moran, Karl J. Friston, Marc Tittgemeyer, Jakob Heinzle, Klaas Enno Stephan
2021	J	`jnl`	Technical note: A fast and robust integrator of delay differential equations in DCM for electrophysiological data. NeuroImage Dario Schöbi, Cao-Tri Do, Stefan Frässle, Marc Tittgemeyer, Jakob Heinzle, Klaas Enno Stephan
2019	J	`jnl`	Dynamic causal modelling revisited. NeuroImage Karl J. Friston, Katrin H. Preller, Christoph Mathys, Hayriye Cagnan, Jakob Heinzle, Adeel Razi, Peter Zeidman
2019	J	`jnl`	Feature-specific prediction errors for visual mismatch. NeuroImage Gabor Stefanics, Klaas Enno Stephan, Jakob Heinzle
2019	J	`jnl`	Laminar fMRI and computational theories of brain function. NeuroImage Klaas E. Stephan, Frederike Petzschner, Lars Kasper, Johanna M. M. Bayer, Katharina V. Wellstein, Gabor Stefanics, Klaas P. Pruessmann, Jakob Heinzle
2017	J	`jnl`	The Stochastic Early Reaction, Inhibition, and late Action (SERIA) model for antisaccades. PLoS Comput. Biol. Eduardo A. Aponte, Dario Schöbi, Klaas E. Stephan, Jakob Heinzle
2016	J	`jnl`	A hemodynamic model for layered BOLD signals. NeuroImage Jakob Heinzle, Peter J. Koopmans, Hanneke E. M. den Ouden, Sudhir Raman, Klaas Enno Stephan
2014	J	`jnl`	Activity in high-level brain regions reflects visibility of low-level stimuli. NeuroImage Fatma Imamoglu, Jakob Heinzle, Adrian Imfeld, John-Dylan Haynes
2011	J	`jnl`	Beyond topographic representation: Decoding visuospatial attention from local activity patterns in the human frontal cortex. Int. J. Imaging Syst. Technol. Christian Kalberlah, Yi Chen, Jakob Heinzle, John-Dylan Haynes
2011	J	`jnl`	Cortical surface-based searchlight decoding. NeuroImage Yi Chen, Praneeth Namburi, Lloyd T. Elliott, Jakob Heinzle, Chun Siong Soon, Michael W. L. Chee, John-Dylan Haynes
2011	J	`jnl`	Decoding different roles for vmPFC and dlPFC in multi-attribute decision making. NeuroImage Thorsten Kahnt, Jakob Heinzle, Soyoung Q. Park, John-Dylan Haynes
2011	J	`jnl`	Flow of affective information between communicating brains. NeuroImage Silke Anders, Jakob Heinzle, Nikolaus Weiskopf, Thomas Ethofer, John-Dylan Haynes
2011	J	`jnl`	Multivariate information-theoretic measures reveal directed information structure and task relevant changes in fMRI connectivity. J. Comput. Neurosci. Joseph T. Lizier, Jakob Heinzle, Annette Horstmann, John-Dylan Haynes, Mikhail Prokopenko
2011	J	`jnl`	Topographically specific functional connectivity between visual field maps in the human brain. NeuroImage Jakob Heinzle, Thorsten Kahnt, John-Dylan Haynes
2002	—	`conf`	Classifying Patterns of Visual Motion - a Neuromorphic Approach. NIPS Jakob Heinzle, Alan Stocker