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Viola Priesemann
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2020 – today
- 2024
- [j16]Lucas Rudelt, Daniel González Marx, F. Paul Spitzner, Benjamin Cramer, Johannes Zierenberg, Viola Priesemann:
Signatures of hierarchical temporal processing in the mouse visual system. PLoS Comput. Biol. 20(8): 1012355 (2024) - [j15]Philipp Dönges, Thomas Götz, Nataliia Kruchinina, Tyll Krüger, Karol Niedzielewski, Viola Priesemann, Moritz Schäfer:
SIR Model for Households. SIAM J. Appl. Math. 84(4): 1460-1481 (2024) - [i8]Andreas C. Schneider, Valentin Neuhaus, David A. Ehrlich, Abdullah Makkeh, Alexander S. Ecker, Viola Priesemann, Michael Wibral:
What should a neuron aim for? Designing local objective functions based on information theory. CoRR abs/2412.02482 (2024) - 2023
- [j14]Fabian A. Mikulasch, Lucas Rudelt, Viola Priesemann:
Visuomotor Mismatch Responses as a Hallmark of Explaining Away in Causal Inference. Neural Comput. 35(1): 27-37 (2023) - [j13]Armin Kekic, Jonas Dehning, Luigi Gresele, Julius von Kügelgen, Viola Priesemann, Bernhard Schölkopf:
Evaluating vaccine allocation strategies using simulation-assisted causal modeling. Patterns 4(6): 100739 (2023) - [j12]Patricia Wollstadt, Daniel L. Rathbun, W. Martin Usrey, André Moraes Bastos, Michael Lindner, Viola Priesemann, Michael Wibral:
Information-theoretic analyses of neural data to minimize the effect of researchers' assumptions in predictive coding studies. PLoS Comput. Biol. 19(11) (2023) - [j11]David A. Ehrlich, Andreas C. Schneider, Viola Priesemann, Michael Wibral, Abdullah Makkeh:
A Measure of the Complexity of Neural Representations based on Partial Information Decomposition. Trans. Mach. Learn. Res. 2023 (2023) - [i7]Marcel Graetz, Abdullah Makkeh, Andreas C. Schneider, David A. Ehrlich, Viola Priesemann, Michael Wibral:
Infomorphic networks: Locally learning neural networks derived from partial information decomposition. CoRR abs/2306.02149 (2023) - 2022
- [j10]Joao Pinheiro Neto, F. Paul Spitzner, Viola Priesemann:
Sampling effects and measurement overlap can bias the inference of neuronal avalanches. PLoS Comput. Biol. 18(11): 1010678 (2022) - [i6]Patricia Wollstadt, Daniel L. Rathbun, W. Martin Usrey, André Moraes Bastos, Michael Lindner, Viola Priesemann, Michael Wibral:
Information-theoretic analyses of neural data to minimize the effect of researchers' assumptions in predictive coding studies. CoRR abs/2203.10810 (2022) - [i5]David A. Ehrlich, Andreas C. Schneider, Michael Wibral, Viola Priesemann, Abdullah Makkeh:
Partial Information Decomposition Reveals the Structure of Neural Representations. CoRR abs/2209.10438 (2022) - [i4]Armin Kekic, Jonas Dehning, Luigi Gresele, Julius von Kügelgen, Viola Priesemann, Bernhard Schölkopf:
Evaluating vaccine allocation strategies using simulation-assisted causal modelling. CoRR abs/2212.08498 (2022) - 2021
- [j9]Annika Hagemann, Jens Wilting, Bita Samimizad, Florian Mormann, Viola Priesemann:
Assessing criticality in pre-seizure single-neuron activity of human epileptic cortex. PLoS Comput. Biol. 17(3) (2021) - [j8]Lucas Rudelt, Daniel González Marx, Michael Wibral, Viola Priesemann:
Embedding optimization reveals long-lasting history dependence in neural spiking activity. PLoS Comput. Biol. 17(6) (2021) - [j7]Simon Bauer, Sebastián Contreras, Jonas Dehning, Matthias Linden, Emil Iftekhar, Sebastian B. Mohr, Alvaro Olivera-Nappa, Viola Priesemann:
Relaxing restrictions at the pace of vaccination increases freedom and guards against further COVID-19 waves. PLoS Comput. Biol. 17(9) (2021)
2010 – 2019
- 2019
- [i3]Benjamin Cramer, David Stöckel, Markus Kreft, Johannes Schemmel, Karlheinz Meier, Viola Priesemann:
Control of criticality and computation in spiking neuromorphic networks with plasticity. CoRR abs/1909.08418 (2019) - 2018
- [j6]Viola Priesemann, Oren Shriki:
Can a time varying external drive give rise to apparent criticality in neural systems? PLoS Comput. Biol. 14(5) (2018) - 2017
- [j5]Michael Wibral, Conor Finn, Patricia Wollstadt, Joseph T. Lizier, Viola Priesemann:
Quantifying Information Modification in Developing Neural Networks via Partial Information Decomposition. Entropy 19(9): 494 (2017) - [j4]Patricia Wollstadt, Kristin K. Sellers, Lucas Rudelt, Viola Priesemann, Axel Hutt, Flavio Fröhlich, Michael Wibral:
Breakdown of local information processing may underlie isoflurane anesthesia effects. PLoS Comput. Biol. 13(6) (2017) - 2015
- [j3]Michael Wibral, Joseph T. Lizier, Viola Priesemann:
Bits from Brains for Biologically-Inspired Computing. Frontiers Robotics AI 2: 5 (2015) - [i2]Michael Wibral, Viola Priesemann, Jim W. Kay, Joseph T. Lizier, William A. Phillips:
Partial Information Decomposition as a Unified Approach to the Specification of Neural Goal Functions. CoRR abs/1510.00831 (2015) - 2014
- [j2]Michael Wibral, Joseph T. Lizier, Sebastian Vögler, Viola Priesemann, Ralf Galuske:
Local active information storage as a tool to understand distributed neural information processing. Frontiers Neuroinformatics 8: 1 (2014) - [i1]Michael Wibral, Joseph T. Lizier, Viola Priesemann:
Bits from Biology for Computational Intelligence. CoRR abs/1412.0291 (2014) - 2013
- [j1]Viola Priesemann, Mario Valderrama, Michael Wibral, Michel Le Van Quyen:
Neuronal Avalanches Differ from Wakefulness to Deep Sleep - Evidence from Intracranial Depth Recordings in Humans. PLoS Comput. Biol. 9(3) (2013) - 2012
- [c1]Michael Wibral, Patricia Wollstadt, Ulrich Meyer, Nicolae Pampu, Viola Priesemann, Raul Vicente:
Revisiting Wiener's principle of causality - interaction-delay reconstruction using transfer entropy and multivariate analysis on delay-weighted graphs. EMBC 2012: 3676-3679
Coauthor Index
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