Wibral, Michael

[["dc.bibliographiccitation.journal","Frontiers in Neuroinformatics"],["dc.bibliographiccitation.volume","8"],["dc.contributor.author","Wibral, Michael"],["dc.contributor.author","Lizier, Joseph T."],["dc.contributor.author","Vögler, Sebastian"],["dc.contributor.author","Priesemann, Viola"],["dc.contributor.author","Galuske, Ralf"],["dc.date.accessioned","2022-06-08T07:57:34Z"],["dc.date.available","2022-06-08T07:57:34Z"],["dc.date.issued","2014"],["dc.identifier.doi","10.3389/fninf.2014.00001"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/110138"],["dc.notes.intern","DOI-Import GROB-575"],["dc.relation.eissn","1662-5196"],["dc.title","Local active information storage as a tool to understand distributed neural information processing"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","20"],["dc.bibliographiccitation.issue","S1"],["dc.bibliographiccitation.journal","Der Nervenarzt"],["dc.bibliographiccitation.lastpage","21"],["dc.bibliographiccitation.volume","81"],["dc.contributor.author","Jung, P."],["dc.contributor.author","Wibral, Michael"],["dc.contributor.author","Bliem, B."],["dc.contributor.author","Lu, M.-K."],["dc.contributor.author","Wahl, M."],["dc.contributor.author","Ziemann, U."],["dc.date.accessioned","2022-06-08T07:59:06Z"],["dc.date.available","2022-06-08T07:59:06Z"],["dc.date.issued","2011"],["dc.identifier.doi","10.1007/s00115-010-3143-0"],["dc.identifier.pii","3143"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/110635"],["dc.language.iso","de"],["dc.notes.intern","DOI-Import GROB-575"],["dc.relation.eissn","1433-0407"],["dc.relation.issn","0028-2804"],["dc.title","Multimodale Evaluation des somatosensorischen CC bei Gesunden und Patienten mit früher RRMS"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","827"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","Network Neuroscience"],["dc.bibliographiccitation.lastpage","847"],["dc.bibliographiccitation.volume","3"],["dc.contributor.author","Novelli, Leonardo"],["dc.contributor.author","Wollstadt, Patricia"],["dc.contributor.author","Mediano, Pedro"],["dc.contributor.author","Wibral, Michael"],["dc.contributor.author","Lizier, Joseph T."],["dc.date.accessioned","2020-12-10T18:38:11Z"],["dc.date.available","2020-12-10T18:38:11Z"],["dc.date.issued","2019"],["dc.identifier.doi","10.1162/netn_a_00092"],["dc.identifier.eissn","2472-1751"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/77208"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","Large-scale directed network inference with multivariate transfer entropy and hierarchical statistical testing"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","1829"],["dc.bibliographiccitation.issue","11"],["dc.bibliographiccitation.journal","Journal of Cognitive Neuroscience"],["dc.bibliographiccitation.lastpage","1844"],["dc.bibliographiccitation.volume","29"],["dc.contributor.author","Costa, Gabriel Nascimento"],["dc.contributor.author","Duarte, João Valente"],["dc.contributor.author","Martins, Ricardo"],["dc.contributor.author","Wibral, Michael"],["dc.contributor.author","Castelo-Branco, Miguel"],["dc.date.accessioned","2022-06-08T07:57:13Z"],["dc.date.available","2022-06-08T07:57:13Z"],["dc.date.issued","2017"],["dc.description.abstract","Abstract In vision, perceptual features are processed in several regions distributed across the brain. Yet, the brain achieves a coherent perception of visual scenes and objects through integration of these features, which are encoded in spatially segregated brain areas. How the brain seamlessly achieves this accurate integration is currently unknown and is referred to as the “binding problem.” Among the proposed mechanisms meant to resolve the binding problem, the binding-by-synchrony hypothesis proposes that binding is carried out by the synchronization of distant neuronal assemblies. This study aimed at providing a critical test to the binding-by-synchrony hypothesis by evaluating long-range connectivity using EEG during a motion integration visual task that entails binding across hemispheres. Our results show that large-scale perceptual binding is not associated with long-range interhemispheric gamma synchrony. However, distinct perceptual interpretations were found to correlate with changes in beta power. Increased beta activity was observed during binding under ambiguous conditions and originates mainly from parietal regions. These findings reveal that the visual experience of binding can be identified by distinct signatures of oscillatory activity, regardless of long-range gamma synchrony, suggesting that such type of synchrony does not underlie perceptual binding."],["dc.identifier.doi","10.1162/jocn_a_01158"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/110027"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-575"],["dc.relation.eissn","1530-8898"],["dc.relation.issn","0898-929X"],["dc.title","Interhemispheric Binding of Ambiguous Visual Motion Is Associated with Changes in Beta Oscillatory Activity but Not with Gamma Range Synchrony"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","ENEURO.0338-17.2017"],["dc.bibliographiccitation.issue","5"],["dc.bibliographiccitation.journal","eneuro"],["dc.bibliographiccitation.volume","4"],["dc.contributor.author","Hirvonen, Jonni"],["dc.contributor.author","Wibral, Michael"],["dc.contributor.author","Palva, J. Matias"],["dc.contributor.author","Singer, Wolf"],["dc.contributor.author","Uhlhaas, Peter"],["dc.contributor.author","Palva, Satu"],["dc.date.accessioned","2022-06-08T07:57:27Z"],["dc.date.available","2022-06-08T07:57:27Z"],["dc.date.issued","2017"],["dc.identifier.doi","10.1523/ENEURO.0338-17.2017"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/110096"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-575"],["dc.relation.eissn","2373-2822"],["dc.title","Whole-Brain Source-Reconstructed MEG-Data Reveal Reduced Long-Range Synchronization in Chronic Schizophrenia"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","Physical Review E"],["dc.bibliographiccitation.volume","103"],["dc.contributor.author","Makkeh, Abdullah"],["dc.contributor.author","Gutknecht, Aaron J."],["dc.contributor.author","Wibral, Michael"],["dc.date.accessioned","2021-06-01T10:47:04Z"],["dc.date.available","2021-06-01T10:47:04Z"],["dc.date.issued","2021"],["dc.identifier.doi","10.1103/PhysRevE.103.032149"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/85472"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-425"],["dc.relation.eissn","2470-0053"],["dc.relation.issn","2470-0045"],["dc.title","Introducing a differentiable measure of pointwise shared information"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","e55809"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","PLoS ONE"],["dc.bibliographiccitation.volume","8"],["dc.contributor.author","Wibral, Michael"],["dc.contributor.author","Pampu, Nicolae"],["dc.contributor.author","Priesemann, Viola"],["dc.contributor.author","Siebenhühner, Felix"],["dc.contributor.author","Seiwert, Hannes"],["dc.contributor.author","Lindner, Michael"],["dc.contributor.author","Lizier, Joseph T."],["dc.contributor.author","Vicente, Raul"],["dc.date.accessioned","2022-06-08T07:57:25Z"],["dc.date.available","2022-06-08T07:57:25Z"],["dc.date.issued","2013"],["dc.identifier.doi","10.1371/journal.pone.0055809"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/110086"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-575"],["dc.relation.eissn","1932-6203"],["dc.rights.uri","http://creativecommons.org/licenses/by/4.0/"],["dc.title","Measuring Information-Transfer Delays"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","8273"],["dc.bibliographiccitation.issue","34"],["dc.bibliographiccitation.journal","The Journal of Neuroscience"],["dc.bibliographiccitation.lastpage","8283"],["dc.bibliographiccitation.volume","37"],["dc.contributor.author","Brodski-Guerniero, Alla"],["dc.contributor.author","Paasch, Georg-Friedrich"],["dc.contributor.author","Wollstadt, Patricia"],["dc.contributor.author","Özdemir, Ipek"],["dc.contributor.author","Lizier, Joseph T."],["dc.contributor.author","Wibral, Michael"],["dc.date.accessioned","2022-06-08T07:57:27Z"],["dc.date.available","2022-06-08T07:57:27Z"],["dc.date.issued","2017"],["dc.identifier.doi","10.1523/JNEUROSCI.0614-17.2017"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/110097"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-575"],["dc.relation.eissn","1529-2401"],["dc.relation.issn","0270-6474"],["dc.title","Information-Theoretic Evidence for Predictive Coding in the Face-Processing System"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","BMC Neuroscience"],["dc.bibliographiccitation.volume","10"],["dc.contributor.author","Priesemann, Viola"],["dc.contributor.author","Munk, Matthias HJ"],["dc.contributor.author","Wibral, Michael"],["dc.date.accessioned","2022-06-08T07:57:16Z"],["dc.date.available","2022-06-08T07:57:16Z"],["dc.date.issued","2009"],["dc.identifier.doi","10.1186/1471-2202-10-40"],["dc.identifier.pii","1044"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/110042"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-575"],["dc.relation.eissn","1471-2202"],["dc.title","Subsampling effects in neuronal avalanche distributions recorded in vivo"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","722"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","Schizophrenia Bulletin"],["dc.bibliographiccitation.lastpage","730"],["dc.bibliographiccitation.volume","47"],["dc.contributor.author","van Leeuwen, Tessa M"],["dc.contributor.author","Sauer, Andreas"],["dc.contributor.author","Jurjut, Anna-Maria"],["dc.contributor.author","Wibral, Michael"],["dc.contributor.author","Uhlhaas, Peter J"],["dc.contributor.author","Singer, Wolf"],["dc.contributor.author","Melloni, Lucia"],["dc.date.accessioned","2022-06-08T07:59:11Z"],["dc.date.available","2022-06-08T07:59:11Z"],["dc.date.issued","2020"],["dc.description.abstract","Abstract Individual differences in perception are widespread. Considering inter-individual variability, synesthetes experience stable additional sensations; schizophrenia patients suffer perceptual deficits in, eg, perceptual organization (alongside hallucinations and delusions). Is there a unifying principle explaining inter-individual variability in perception? There is good reason to believe perceptual experience results from inferential processes whereby sensory evidence is weighted by prior knowledge about the world. Perceptual variability may result from different precision weighting of sensory evidence and prior knowledge. We tested this hypothesis by comparing visibility thresholds in a perceptual hysteresis task across medicated schizophrenia patients (N = 20), synesthetes (N = 20), and controls (N = 26). Participants rated the subjective visibility of stimuli embedded in noise while we parametrically manipulated the availability of sensory evidence. Additionally, precise long-term priors in synesthetes were leveraged by presenting either synesthesia-inducing or neutral stimuli. Schizophrenia patients showed increased visibility thresholds, consistent with overreliance on sensory evidence. In contrast, synesthetes exhibited lowered thresholds exclusively for synesthesia-inducing stimuli suggesting high-precision long-term priors. Additionally, in both synesthetes and schizophrenia patients explicit, short-term priors—introduced during the hysteresis experiment—lowered thresholds but did not normalize perception. Our results imply that perceptual variability might result from differences in the precision afforded to prior beliefs and sensory evidence, respectively."],["dc.identifier.doi","10.1093/schbul/sbaa162"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/110663"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-575"],["dc.relation.eissn","1745-1701"],["dc.relation.issn","0586-7614"],["dc.title","Perceptual Gains and Losses in Synesthesia and Schizophrenia"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]