Priesemann, Viola

[["dc.bibliographiccitation.artnumber","e0186361"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","PLOS ONE"],["dc.bibliographiccitation.volume","13"],["dc.contributor.author","Sogorski, Mathias"],["dc.contributor.author","Geisel, Theo"],["dc.contributor.author","Priesemann, Viola"],["dc.date.accessioned","2019-07-09T11:45:00Z"],["dc.date.available","2019-07-09T11:45:00Z"],["dc.date.issued","2018"],["dc.description.abstract","Musical rhythms performed by humans typically show temporal fluctuations. While they have been characterized in simple rhythmic tasks, it is an open question what is the nature of temporal fluctuations, when several musicians perform music jointly in all its natural complexity. To study such fluctuations in over 100 original jazz and rock/pop recordings played with and without metronome we developed a semi-automated workflow allowing the extraction of cymbal beat onsets with millisecond precision. Analyzing the inter-beat interval (IBI) time series revealed evidence for two long-range correlated processes characterized by power laws in the IBI power spectral densities. One process dominates on short timescales (t < 8 beats) and reflects microtiming variability in the generation of single beats. The other dominates on longer timescales and reflects slow tempo variations. Whereas the latter did not show differences between musical genres (jazz vs. rock/pop), the process on short timescales showed higher variability for jazz recordings, indicating that jazz makes stronger use of microtiming fluctuations within a measure than rock/pop. Our results elucidate principles of rhythmic performance and can inspire algorithms for artificial music generation. By studying microtiming fluctuations in original music recordings, we bridge the gap between minimalistic tapping paradigms and expressive rhythmic performances."],["dc.identifier.doi","10.1371/journal.pone.0186361"],["dc.identifier.pmid","29364920"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/14999"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/59138"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.relation.issn","1932-6203"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.subject.ddc","006"],["dc.subject.ddc","573"],["dc.subject.ddc","612"],["dc.title","Correlated microtiming deviations in jazz and rock music"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","e1005511"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","PLoS Computational Biology"],["dc.bibliographiccitation.volume","13"],["dc.contributor.author","Wollstadt, Patricia"],["dc.contributor.author","Sellers, Kristin K."],["dc.contributor.author","Rudelt, Lucas"],["dc.contributor.author","Priesemann, Viola"],["dc.contributor.author","Hutt, Axel"],["dc.contributor.author","Frohlich, Flavio"],["dc.contributor.author","Wibral, Michael"],["dc.date.accessioned","2019-07-09T11:43:32Z"],["dc.date.available","2019-07-09T11:43:32Z"],["dc.date.issued","2017-06"],["dc.description.abstract","The disruption of coupling between brain areas has been suggested as the mechanism underlying loss of consciousness in anesthesia. This hypothesis has been tested previously by measuring the information transfer between brain areas, and by taking reduced information transfer as a proxy for decoupling. Yet, information transfer is a function of the amount of information available in the information source-such that transfer decreases even for unchanged coupling when less source information is available. Therefore, we reconsidered past interpretations of reduced information transfer as a sign of decoupling, and asked whether impaired local information processing leads to a loss of information transfer. An important prediction of this alternative hypothesis is that changes in locally available information (signal entropy) should be at least as pronounced as changes in information transfer. We tested this prediction by recording local field potentials in two ferrets after administration of isoflurane in concentrations of 0.0%, 0.5%, and 1.0%. We found strong decreases in the source entropy under isoflurane in area V1 and the prefrontal cortex (PFC)-as predicted by our alternative hypothesis. The decrease in source entropy was stronger in PFC compared to V1. Information transfer between V1 and PFC was reduced bidirectionally, but with a stronger decrease from PFC to V1. This links the stronger decrease in information transfer to the stronger decrease in source entropy-suggesting reduced source entropy reduces information transfer. This conclusion fits the observation that the synaptic targets of isoflurane are located in local cortical circuits rather than on the synapses formed by interareal axonal projections. Thus, changes in information transfer under isoflurane seem to be a consequence of changes in local processing more than of decoupling between brain areas. We suggest that source entropy changes must be considered whenever interpreting changes in information transfer as decoupling."],["dc.identifier.doi","10.1371/journal.pcbi.1005511"],["dc.identifier.pmid","28570661"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/14560"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/58905"],["dc.notes.intern","Merged from goescholar"],["dc.relation.issn","1553-7358"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.subject.ddc","006"],["dc.subject.ddc","573"],["dc.subject.ddc","612"],["dc.subject.mesh","Anesthesia"],["dc.subject.mesh","Anesthetics, Inhalation"],["dc.subject.mesh","Animals"],["dc.subject.mesh","Consciousness"],["dc.subject.mesh","Female"],["dc.subject.mesh","Ferrets"],["dc.subject.mesh","Isoflurane"],["dc.subject.mesh","Mental Processes"],["dc.subject.mesh","Prefrontal Cortex"],["dc.subject.mesh","Unconsciousness"],["dc.title","Breakdown of local information processing may underlie isoflurane anesthesia effects."],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","494"],["dc.bibliographiccitation.issue","9"],["dc.bibliographiccitation.journal","Entropy"],["dc.bibliographiccitation.volume","19"],["dc.contributor.author","Wibral, Michael"],["dc.contributor.author","Finn, Conor"],["dc.contributor.author","Wollstadt, Patricia"],["dc.contributor.author","Lizier, Joseph"],["dc.contributor.author","Priesemann, Viola"],["dc.date.accessioned","2019-12-17T13:06:20Z"],["dc.date.accessioned","2021-10-27T13:22:41Z"],["dc.date.available","2019-12-17T13:06:20Z"],["dc.date.available","2021-10-27T13:22:41Z"],["dc.date.issued","2017"],["dc.description.abstract","Information processing performed by any system can be conceptually decomposed into the transfer, storage and modification of information—an idea dating all the way back to the work of Alan Turing. However, formal information theoretic definitions until very recently were only available for information transfer and storage, not for modification. This has changed with the extension of Shannon information theory via the decomposition of the mutual information between inputs to and the output of a process into unique, shared and synergistic contributions from the inputs, called a partial information decomposition (PID). The synergistic contribution in particular has been identified as the basis for a definition of information modification. We here review the requirements for a functional definition of information modification in neuroscience, and apply a recently proposed measure of information modification to investigate the developmental trajectory of information modification in a culture of neurons vitro, using partial information decomposition. We found that modification rose with maturation, but ultimately collapsed when redundant information among neurons took over. This indicates that this particular developing neural system initially developed intricate processing capabilities, but ultimately displayed information processing that was highly similar across neurons, possibly due to a lack of external inputs. We close by pointing out the enormous promise PID and the analysis of information modification hold for the understanding of neural systems."],["dc.identifier.doi","10.3390/e19090494"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/17015"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/92118"],["dc.language.iso","en"],["dc.notes.intern","Migrated from goescholar"],["dc.relation.eissn","1099-4300"],["dc.relation.issn","1099-4300"],["dc.relation.orgunit","Bernstein Center for Computational Neuroscience Göttingen"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.subject.ddc","006"],["dc.subject.ddc","573"],["dc.subject.ddc","612"],["dc.title","Quantifying Information Modification in Developing Neural Networks via Partial Information Decomposition"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]