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Items: 16

1.

Operating in a Reverberating Regime Enables Rapid Tuning of Network States to Task Requirements.

Wilting J, Dehning J, Pinheiro Neto J, Rudelt L, Wibral M, Zierenberg J, Priesemann V.

Front Syst Neurosci. 2018 Nov 6;12:55. doi: 10.3389/fnsys.2018.00055. eCollection 2018.

2.

Inferring collective dynamical states from widely unobserved systems.

Wilting J, Priesemann V.

Nat Commun. 2018 Jun 13;9(1):2325. doi: 10.1038/s41467-018-04725-4.

3.

Can a time varying external drive give rise to apparent criticality in neural systems?

Priesemann V, Shriki O.

PLoS Comput Biol. 2018 May 29;14(5):e1006081. doi: 10.1371/journal.pcbi.1006081. eCollection 2018 May.

4.

Correlated microtiming deviations in jazz and rock music.

Sogorski M, Geisel T, Priesemann V.

PLoS One. 2018 Jan 24;13(1):e0186361. doi: 10.1371/journal.pone.0186361. eCollection 2018.

5.

Breakdown of local information processing may underlie isoflurane anesthesia effects.

Wollstadt P, Sellers KK, Rudelt L, Priesemann V, Hutt A, Fröhlich F, Wibral M.

PLoS Comput Biol. 2017 Jun 1;13(6):e1005511. doi: 10.1371/journal.pcbi.1005511. eCollection 2017 Jun.

6.

Criticality meets learning: Criticality signatures in a self-organizing recurrent neural network.

Del Papa B, Priesemann V, Triesch J.

PLoS One. 2017 May 26;12(5):e0178683. doi: 10.1371/journal.pone.0178683. eCollection 2017.

7.

Partial information decomposition as a unified approach to the specification of neural goal functions.

Wibral M, Priesemann V, Kay JW, Lizier JT, Phillips WA.

Brain Cogn. 2017 Mar;112:25-38. doi: 10.1016/j.bandc.2015.09.004. Epub 2015 Oct 21.

8.

Untangling cross-frequency coupling in neuroscience.

Aru J, Aru J, Priesemann V, Wibral M, Lana L, Pipa G, Singer W, Vicente R.

Curr Opin Neurobiol. 2015 Apr;31:51-61. doi: 10.1016/j.conb.2014.08.002. Epub 2014 Sep 15. Review.

PMID:
25212583
9.

Repetitive magnetic stimulation induces plasticity of excitatory postsynapses on proximal dendrites of cultured mouse CA1 pyramidal neurons.

Lenz M, Platschek S, Priesemann V, Becker D, Willems LM, Ziemann U, Deller T, Müller-Dahlhaus F, Jedlicka P, Vlachos A.

Brain Struct Funct. 2015 Nov;220(6):3323-37. doi: 10.1007/s00429-014-0859-9. Epub 2014 Aug 10.

PMID:
25108309
10.

Spike avalanches in vivo suggest a driven, slightly subcritical brain state.

Priesemann V, Wibral M, Valderrama M, Pröpper R, Le Van Quyen M, Geisel T, Triesch J, Nikolić D, Munk MH.

Front Syst Neurosci. 2014 Jun 24;8:108. doi: 10.3389/fnsys.2014.00108. eCollection 2014.

11.

Local active information storage as a tool to understand distributed neural information processing.

Wibral M, Lizier JT, Vögler S, Priesemann V, Galuske R.

Front Neuroinform. 2014 Jan 28;8:1. doi: 10.3389/fninf.2014.00001. eCollection 2014.

12.

Neuronal avalanches differ from wakefulness to deep sleep--evidence from intracranial depth recordings in humans.

Priesemann V, Valderrama M, Wibral M, Le Van Quyen M.

PLoS Comput Biol. 2013;9(3):e1002985. doi: 10.1371/journal.pcbi.1002985. Epub 2013 Mar 21.

13.

Measuring information-transfer delays.

Wibral M, Pampu N, Priesemann V, Siebenhühner F, Seiwert H, Lindner M, Lizier JT, Vicente R.

PLoS One. 2013;8(2):e55809. doi: 10.1371/journal.pone.0055809. Epub 2013 Feb 28.

14.

Revisiting Wiener's principle of causality -- interaction-delay reconstruction using transfer entropy and multivariate analysis on delay-weighted graphs.

Wibral M, Wollstadt P, Meyer U, Pampu N, Priesemann V, Vicente R.

Conf Proc IEEE Eng Med Biol Soc. 2012;2012:3676-9. doi: 10.1109/EMBC.2012.6346764.

PMID:
23366725
15.

TRENTOOL: a Matlab open source toolbox to analyse information flow in time series data with transfer entropy.

Lindner M, Vicente R, Priesemann V, Wibral M.

BMC Neurosci. 2011 Nov 18;12:119. doi: 10.1186/1471-2202-12-119.

16.

Subsampling effects in neuronal avalanche distributions recorded in vivo.

Priesemann V, Munk MH, Wibral M.

BMC Neurosci. 2009 Apr 29;10:40. doi: 10.1186/1471-2202-10-40.

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