Publikationen von Viola Priesemann

Priesemann, V.; Shriki, O.: Can a time varying external drive give rise to apparent criticality in neural systems? PLOS Computational Biology 14 (5), e1006081 (2018)

Sogorski, M.; Geisel, T.; Priesemann, V.: Correlated microtiming deviations in jazz and rock music. PLoS One 13 (1), e0186361 (2018)

Wibral, M.; Finn, C.; Wollstadt, P.; Lizier, J. T.; Priesemann, V.: Quantifying information modification in developing neural networks via partial information decomposition. Entropy 19 (9), 494 (2017)

Wollstadt, P.; Sellers, K. K.; Rudelt, L.; Priesemann, V.; Hutt, A.; Fröhlich, F.; Wibral, M.: Breakdown of local information processing may underlie isoflurane anesthesia effects. PLoS Computational Biology 13 (6), e1005511 (2017)

Del Papa, B.; Priesemann, V.; Triesch, J.: Criticality meets learning: Criticality signatures in a self-organizing recurrent neural network. PLoS One 12 (5), e0178683 (2017)

Levina, A.; Priesemann, V.: Subsampling scaling. Nature Communications 8, 15140 (2017)

Wibral, M.; Priesemann, V.; Kay, J. W.; Lizier, J. T.; Phillips, W. A.: Partial information decomposition as a unified approach to the specification of neural goal functions. Brain and Cognition 112, S. 25 - 38 (2017)

Lenz, M.; Platschek, S.; Priesemann, V.; Becker, D.; Willems, L. M.; Ziemann, U.; Deller, T.; Müller-Dahlhaus, F.; Jedlicka, P.; Vlachos, A.: Repetitive magnetic stimulation induces plasticity of excitatory postsynapses on proximal dendrites of cultured mouse CA1 pyramidal neurons. Brain Structure and Function 220 (6), S. 3323 - 3337 (2015)

Aru, J.; Aru, J.; Priesemann, V.; Wibral, M.; Lana, L.; Pipa, G.; Singer, W.; Vicente, R.: Untangling cross-frequency coupling in neuroscience. Current Opinion in Neurobiology 31, S. 51 - 61 (2015)

Wibral, M.; Lizier, J. T.; Priesemann, V.: Bits from brains for biologically-inspired computing. Frontiers in Robotics and AI 2, 5 (2015)

Lenz, M.; Platschek, S.; Priesemann, V.; Becker, D.; Willems, L. M.; Ziemann, U.; Deller, T.; Müller-Dahlhaus, F.; Jedlicka, P.; Vlachos, A.: Repetitive magnetic stimulation induces plasticity of excitatory postsynapses on proximal dendrites of cultured mouse CA1 pyramidal neurons. Brain Structure and Function, S. 1 - 15 (2014)

Priesemann, V.; Wibral, M.; Valderrama, M.; Pröpper, R.; Le Van Quyen, M.; Geisel, T.; Triesch, J.; Nikolic, D.; Munk, M. H. J.: Spike avalanches in vivo suggest a driven, slightly subcritical brain state. Frontiers in Systems Neuroscience 8, 108 (2014)

Wibral, M.; Lizier, J.; Vögler, S.; Priesemann, V.; Galuske, R.: Local active information storage as a tool to understand distributed neural information processing. Frontiers in Neuroinformatics 8, 1 (2014)

Del Papa, B.; Priesemann, V.; Triesch, J.: Fading Memory, Plasticity, and Criticality in Recurrent Networks. In: The Functional Role of Critical Dynamics in Neural Systems: Springer Series on Bio- and Neurosystems, Bd. 11, S. 95 - 115 (Hg. Tomen, N.; Herrmann, J. M.; Ernst, U.). Springer International Publishing, Cham (2019)

Priesemann, V.; Levina, A.; Wilting, J.: Assessing Criticality in Experiments. In: The Functional Role of Critical Dynamics in Neural Systems, Springer Series on Bio- and Neurosystems, Bd. 11, S. 199 - 232 (Hg. Tomen, N.; Herrmann, J.; Ernst, U.). Springer, Cham (2019)

Wibral, M.; Lizier, J. T.; Priesemann, V.: How to measure local active information storage in neural systems. 8th CONFERENCE OF THE EUROPEAN STUDY GROUP ON CARDIOVASCULAR OSCILLATION.

Funke, F.; Mattauch, L.; Merl, T.; Mitter, H.; Priesemann, V.; Wenz, L.; Wiese, A.: Die Zukunft der Ernährung in Europa: Interdisziplinäre Perspektiven. (2023), 11 S.

Makkeh, A.; Wibral, M.; Graetz, M.; Schneider, A. C.; Priesemann, V.: Infomorphic Neurons: Locally learning pyramidal- inspired neurons derived from partial information decomposition. arxiv (2023)