Publications of Nico Scherf

Meeting Abstract (1)

2021
Meeting Abstract
Jordan, B.; Fourcade, A.; Gaebler, M.; Scherf, N.; Loheit, A.-C.; Villringer, A.: Linking acute stress and heart rate variability in daily life while accounting for physical activity: A machine learning approach. In Journal of Computational Neuroscience, 49 (Suppl. 1), pp. S193 - S194. Kluwer Academic Publishers, Boston (2021)

Preprint (2)

2024
Preprint
Hofmann, S.; Goltermann, O.; Scherf, N.; Müller, K.-R.; Löffler, M.; Villringer, A.; Gaebler, M.; Witte, A. V.; Beyer, F.: The utility of explainable A.I. for MRI analysis: Relating model predictions to neuroimaging features of the aging brain. bioRxiv (2024)
Preprint
Hofmann, S.; Ciston, A.; Koushik, A.; Klotzsche, F.; Hebart, M. N.; Müller, K.-R.; Villringer, A.; Scherf, N.; Hilsmann, A.; Nikulin, V. V. et al.; Gaebler, M.: Human-aligned deep and sparse encoding models of dynamic 3D face similarity perception. PsyArXiv (2024)
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