Jakob Heinzle
Affiliations: | 2001-2007 | ETH/Uni Zurich, Zürich, Zürich, Switzerland | |
| 2007-2011 | BCCN Berlin, Berlin, Berlin, Germany | ||
| 2012- | ETH/Uni Zurich, Zürich, Zürich, Switzerland |
Area:
Neural Computation, fMRIGoogle:
"Jakob Heinzle"Mean distance: 13.79 (cluster 29) | S | N | B | C | P |
Parents
Sign in to add mentor| Kevan A. Martin | grad student | 2001-2006 | Institute for Neuroinformatics |
| John Dylan Haynes | post-doc | 2007- | BCCN Berlin |
| Klaas Enno Stephan | research scientist | 2012- | ETH Zürich |
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Publications
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| Toussaint B, Heinzle J, Stephan KE. (2024) A computationally informed distinction of interoception and exteroception. Neuroscience and Biobehavioral Reviews. 105608 |
| Galioulline H, Frässle S, Harrison S, et al. (2023) Predicting Future Depressive Episodes from Resting-State fMRI with Generative Embedding. Neuroimage. 119986 |
| Soch J, Görgen K, Heinzle J, et al. (2023) A tightly controlled fMRI dataset for receptive field mapping in human visual cortex. Data in Brief. 47: 109018 |
| Müller-Schrader M, Heinzle J, Müller A, et al. (2022) Individual treatment expectations predict clinical outcome after lumbar injections against low back pain. Pain |
| Kasper L, Engel M, Heinzle J, et al. (2022) Advances in spiral fMRI: A high-resolution dataset. Data in Brief. 42: 108050 |
| Aponte EA, Yao Y, Raman S, et al. (2021) An introduction to thermodynamic integration and application to dynamic causal models. Cognitive Neurodynamics. 16: 1-15 |
| Kasper L, Engel M, Heinzle J, et al. (2021) Advances in Spiral fMRI: A High-resolution Study with Single-shot Acquisition. Neuroimage. 118738 |
| Pereira I, Frässle S, Heinzle J, et al. (2021) CONDUCTANCE-BASED DYNAMIC CAUSAL MODELING: A MATHEMATICAL REVIEW OF ITS APPLICATION TO CROSS-POWER SPECTRAL DENSITIES. Neuroimage. 118662 |
| Schöbi D, Do CT, Frässle S, et al. (2021) Technical Note: A fast and robust integrator of delay differential equations in DCM for electrophysiological data. Neuroimage. 118567 |
| Frässle S, Aponte EA, Bollmann S, et al. (2021) TAPAS: An Open-Source Software Package for Translational Neuromodeling and Computational Psychiatry. Frontiers in Psychiatry. 12: 680811 |