Joachim Hass
Affiliations: | Central Institute of Mental Health, Mannheim, Mannheim, Baden-Württemberg, Germany |
Area:
Computational Neuroscience, PFC, time perceptionWebsite:
http://www.chaos.gwdg.de/nldpeoplefolder.2007-07-17.7548289764/nldperson.2007-12-17.6423769378Google:
"Joachim Hass"Mean distance: 17.91 (cluster 17)
Cross-listing: Computational Biology Tree
Parents
Sign in to add mentor| Theo Geisel | grad student | 2005-2010 | Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany |
| Daniel Durstewitz | post-doc | 2010- | Central Institute for Mental Health, Mannheim |
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Publications
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| Hass J, Ardid S, Sherfey J, et al. (2022) Constraints on Persistent Activity in a Biologically Detailed Network Model of the Prefrontal Cortex with Heterogeneities. Progress in Neurobiology. 102287 |
| Sadeghi S, Mier D, Gerchen MF, et al. (2020) Dynamic Causal Modeling for fMRI With Wilson-Cowan-Based Neuronal Equations. Frontiers in Neuroscience. 14: 593867 |
| Schmidt SNL, Sojer CA, Hass J, et al. (2020) fMRI adaptation reveals: The human mirror neuron system discriminates emotional valence. Cortex; a Journal Devoted to the Study of the Nervous System and Behavior. 128: 270-280 |
| Ardid S, Sherfey JS, McCarthy MM, et al. (2019) Biased competition in the absence of input bias revealed through corticostriatal computation. Proceedings of the National Academy of Sciences of the United States of America |
| Sherfey JS, Ardid S, Hass J, et al. (2018) Flexible resonance in prefrontal networks with strong feedback inhibition. Plos Computational Biology. 14: e1006357 |
| Hass J, Hertäg L, Durstewitz D. (2016) A Detailed Data-Driven Network Model of Prefrontal Cortex Reproduces Key Features of In Vivo Activity. Plos Computational Biology. 12: e1004930 |
| Ardid S, Sherfey J, McCarthy MM, et al. (2016) Unraveling action selection and inhibitory control mechanisms in a striatal microcircuit model International Journal of Psychophysiology. 108: 18 |
| Hass J, Durstewitz D. (2016) Time at the center, or time at the side? Assessing current models of time perception Current Opinion in Behavioral Sciences. 8: 238-244 |
| Hass J, Durstewitz D. (2014) Neurocomputational models of time perception. Advances in Experimental Medicine and Biology. 829: 49-71 |
| Quiroga-Lombard CS, Hass J, Durstewitz D. (2013) Method for stationarity-segmentation of spike train data with application to the Pearson cross-correlation. Journal of Neurophysiology. 110: 562-72 |