Viola Priesemann
TitleCited byYear
Untangling cross-frequency coupling in neuroscience
J Aru, J Aru, V Priesemann, M Wibral, L Lana, G Pipa, W Singer, ...
Current opinion in neurobiology 31, 51-61, 2015
2352015
TRENTOOL: A Matlab open source toolbox to analyse information flow in time series data with transfer entropy
M Lindner, R Vicente, V Priesemann, M Wibral
BMC neuroscience 12 (1), 119, 2011
1622011
Measuring information-transfer delays
M Wibral, N Pampu, V Priesemann, F Siebenhühner, H Seiwert, ...
PloS one 8 (2), e55809, 2013
1412013
Spike avalanches in vivo suggest a driven, slightly subcritical brain state
V Priesemann, M Wibral, M Valderrama, R Pröpper, M Le Van Quyen, ...
Frontiers in systems neuroscience 8, 108, 2014
1302014
Neuronal Avalanches Differ from Wakefulness to Deep Sleep–Evidence from Intracranial Depth Recordings in Humans
V Priesemann, M Valderrama, M Wibral, M Le Van Quyen
PLOS Computational Biology 9 (3), e1002985, 2013
1112013
Subsampling effects in neuronal avalanche distributions recorded in vivo
V Priesemann, M Munk, M Wibral
BMC neuroscience 10 (1), 40, 2009
1022009
Local active information storage as a tool to understand distributed neural information processing
M Wibral, J Lizier, S Vögler, V Priesemann, R Galuske
Frontiers in neuroinformatics 8, 1, 2014
602014
Repetitive magnetic stimulation induces plasticity of excitatory postsynapses on proximal dendrites of cultured mouse CA1 pyramidal neurons
M Lenz, S Platschek, V Priesemann, D Becker, LM Willems, U Ziemann, ...
Brain Structure and Function 220 (6), 3323-3337, 2015
552015
Bits from brains for biologically inspired computing
M Wibral, JT Lizier, V Priesemann
Frontiers in Robotics and AI 2, 5, 2015
552015
Subsampling scaling
A Levina, V Priesemann
Nature Communications 8 (15140:1-9), doi:10.1038/ncomms15140, 2017
372017
Partial information decomposition as a unified approach to the specification of neural goal functions
M Wibral, V Priesemann, JW Kay, JT Lizier, WA Phillips
Brain and cognition 112, 25-38, 2017
302017
Inferring collective dynamical states from widely unobserved systems
J Wilting, V Priesemann
Nature communications 9 (1), 2325, 2018
29*2018
Criticality meets learning: Criticality signatures in a self-organizing recurrent neural network
B Del Papa, V Priesemann, J Triesch
PloS one 12 (5), e0178683, 2017
222017
Breakdown of local information processing may underlie isoflurane anesthesia effects
P Wollstadt, KK Sellers, L Rudelt, V Priesemann, A Hutt, F Fröhlich, ...
PLoS computational biology 13 (6), e1005511, 2017
162017
Homeostatic plasticity and external input shape neural network dynamics
J Zierenberg, J Wilting, V Priesemann
Physical Review X 8 (3), 031018, 2018
132018
Can a time varying external drive give rise to apparent criticality in neural systems?
V Priesemann, O Shriki
PLoS computational biology 14 (5), e1006081, 2018
132018
Quantifying information modification in developing neural networks via partial information decomposition
M Wibral, C Finn, P Wollstadt, J Lizier, V Priesemann
Entropy 19 (9), 494, 2017
132017
Revisiting Wiener's principle of causality—interaction-delay reconstruction using transfer entropy and multivariate analysis on delay-weighted graphs
M Wibral, P Wollstadt, U Meyer, N Pampu, V Priesemann, R Vicente
2012 Annual International Conference of the IEEE Engineering in Medicine and …, 2012
112012
Operating in a reverberating regime enables rapid tuning of network states to task requirements
J Wilting, J Dehning, JP Neto, L Rudelt, M Wibral, J Zierenberg, ...
Frontiers in systems neuroscience 12, 2018
9*2018
Transfer entropy as a tool for reconstructing interaction delays in neural signals
NC Pampu, R Vicente, RC Mureşan, V Priesemann, F Siebenhühner, ...
International Symposium on Signals, Circuits and Systems ISSCS2013, 1-4, 2013
82013
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Articles 1–20