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Holger Finger
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Books and Theses
- 2016
- [b1]Holger Finger:
Information processing in neural networks: learning of structural connectivity and dynamics of functional activation. University of Osnabrück, Germany, 2016, pp. 1-272
Journal Articles
- 2019
- [j4]Holger Finger, Richard Gast, Christian Gerloff, Andreas K. Engel, Peter König:
Probing neural networks for dynamic switches of communication pathways. PLoS Comput. Biol. 15(12) (2019) - 2017
- [j3]Moritz Köster, Holger Finger, Maren-Jo Kater, Christoph Schenk, Thomas Gruber:
Neuronal Oscillations Indicate Sleep-dependent Changes in the Cortical Memory Trace. J. Cogn. Neurosci. 29(4): 698-707 (2017) - 2016
- [j2]Holger Finger, Marlene Bönstrup, Bastian Cheng, Arnaud Messé, Claus C. Hilgetag, Götz Thomalla, Christian Gerloff, Peter König:
Modeling of Large-Scale Functional Brain Networks Based on Structural Connectivity from DTI: Comparison with EEG Derived Phase Coupling Networks and Evaluation of Alternative Methods along the Modeling Path. PLoS Comput. Biol. 12(8) (2016) - 2013
- [j1]Holger Finger, Peter König:
Phase synchrony facilitates binding and segmentation of natural images in a coupled neural oscillator network. Frontiers Comput. Neurosci. 7: 195 (2013)
Conference and Workshop Papers
- 2020
- [c4]Leon René Sütfeld, Flemming Brieger, Holger Finger, Sonja Füllhase, Gordon Pipa:
Adaptive Blending Units: Trainable Activation Functions for Deep Neural Networks. SAI (3) 2020: 37-50 - 2017
- [c3]Holger Finger, Dorena Diekamp, Caspar Goeke:
Introducing a New JavaScript Framework for Professional Online Studies. CogSci 2017 - 2011
- [c2]Holger Finger, Shih-Chii Liu:
Estimating the location of a sound source with a spike-timing localization algorithm. ISCAS 2011: 2461-2464 - 2010
- [c1]Holger Finger, Shih-Chii Liu, Paul Ruvolo, Javier R. Movellan:
Approaches and databases for online calibration of binaural sound localization for robotic heads. IROS 2010: 4340-4345
Informal and Other Publications
- 2018
- [i1]Leon René Sütfeld, Flemming Brieger, Holger Finger, Sonja Füllhase, Gordon Pipa:
Adaptive Blending Units: Trainable Activation Functions for Deep Neural Networks. CoRR abs/1806.10064 (2018)
Coauthor Index
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