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

dc.contributor.authorPriesemann, Viola
dc.contributor.authorWibral, Michael
dc.contributor.authorValderrama, Mario
dc.contributor.authorPröpper, Robert
dc.contributor.authorLe Van Quyen, Michel
dc.contributor.authorGeisel, Theo
dc.contributor.authorTriesch, Jochen
dc.contributor.authorNikolić, Danko
dc.contributor.authorMunk, Matthias H. J.
dc.date.accessioned2019-11-18T14:03:11Z
dc.date.available2019-11-18T14:03:11Z
dc.date.issued2014-06-24
dc.date.updated2019-10-04T00:20:59Z
dc.description.abstractIn self-organized critical (SOC) systems avalanche size distributions follow power-laws. Power-laws have also been observed for neural activity, and so it has been proposed that SOC underlies brain organization as well. Surprisingly, for spiking activity in vivo, evidence for SOC is still lacking. Therefore, we analyzed highly parallel spike recordings from awake rats and monkeys, anesthetized cats, and also local field potentials from humans. We compared these to spiking activity from two established critical models: the Bak-Tang-Wiesenfeld model, and a stochastic branching model. We found fundamental differences between the neural and the model activity. These differences could be overcome for both models through a combination of three modifications: (1) subsampling, (2) increasing the input to the model (this way eliminating the separation of time scales, which is fundamental to SOC and its avalanche definition), and (3) making the model slightly sub-critical. The match between the neural activity and the modified models held not only for the classical avalanche size distributions and estimated branching parameters, but also for two novel measures (mean avalanche size, and frequency of single spikes), and for the dependence of all these measures on the temporal bin size. Our results suggest that neural activity in vivo shows a mélange of avalanches, and not temporally separated ones, and that their global activity propagation can be approximated by the principle that one spike on average triggers a little less than one spike in the next step. This implies that neural activity does not reflect a SOC state but a slightly sub-critical regime without a separation of time scales. Potential advantages of this regime may be faster information processing, and a safety margin from super-criticality, which has been linked to epilepsy.en
dc.description.sponsorshipDFG, 103586207, GRK 1589: Verarbeitung sensorischer Informationen in neuronalen Systemenen
dc.description.sponsorshipBMBF, 01GQ1005B, Bernstein Zentrum für Computational Neuroscience, Göttingen - Kooperative Dynamiken und Adaptivität in neuronalen Systemenen
dc.description.sponsorshipBMBF, 01GQ0742, Verbundprojekt Bernstein Partner: Gedächtnis-Netzwerk, Teilprojekt 2en
dc.identifier.eissn1662-5137
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/10324
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-9286
dc.language.isoenen
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/en
dc.subject.ddc612 Humanphysiologiede
dc.subject.otherself-organized criticalityen
dc.subject.otherhuman intracranial recordingsen
dc.subject.otherspike train analysisen
dc.subject.otherhighly parallel recordingsen
dc.subject.otherspiking neural networksen
dc.subject.othermultiunit activityen
dc.subject.othercortexen
dc.subject.othermonkeysen
dc.titleSpike avalanches in vivo suggest a driven, slightly subcritical brain stateen
dc.typeArticleen
dc.type.versionpublishedVersionen
dcterms.bibliographicCitation.articlenumber108en
dcterms.bibliographicCitation.doi10.3389/fnsys.2014.00108en
dcterms.bibliographicCitation.journaltitleFrontiers in Systems Neuroscienceen
dcterms.bibliographicCitation.originalpublishernameFrontiers Media S.A.en
dcterms.bibliographicCitation.originalpublisherplaceLausanneen
dcterms.bibliographicCitation.volume8en
tub.accessrights.dnbfreeen
tub.affiliationFak. 4 Elektrotechnik und Informatik>Inst. Softwaretechnik und Theoretische Informatik>FG Neuronale Informationsverarbeitungde
tub.affiliation.facultyFak. 4 Elektrotechnik und Informatikde
tub.affiliation.groupFG Neuronale Informationsverarbeitungde
tub.affiliation.instituteInst. Softwaretechnik und Theoretische Informatikde
tub.publisher.universityorinstitutionTechnische Universität Berlinen
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