Geisel, Theo

[["dc.bibliographiccitation.firstpage","87"],["dc.bibliographiccitation.journal","Frontiers in computational neuroscience"],["dc.bibliographiccitation.lastpage","87"],["dc.bibliographiccitation.volume","7"],["dc.contributor.author","Uhlig, Maximilian"],["dc.contributor.author","Levina, Anna"],["dc.contributor.author","Geisel, Theo"],["dc.contributor.author","Herrmann, J. Michael"],["dc.date.accessioned","2019-07-09T11:40:06Z"],["dc.date.available","2019-07-09T11:40:06Z"],["dc.date.issued","2013"],["dc.description.abstract","Critical behavior in neural networks is characterized by scale-free avalanche size distributions and can be explained by self-regulatory mechanisms. Theoretical and experimental evidence indicates that information storage capacity reaches its maximum in the critical regime. We study the effect of structural connectivity formed by Hebbian learning on the criticality of network dynamics. The network only endowed with Hebbian learning does not allow for simultaneous information storage and criticality. However, the critical regime can be stabilized by short-term synaptic dynamics in the form of synaptic depression and facilitation or, alternatively, by homeostatic adaptation of the synaptic weights. We show that a heterogeneous distribution of maximal synaptic strengths does not preclude criticality if the Hebbian learning is alternated with periods of critical dynamics recovery. We discuss the relevance of these findings for the flexibility of memory in aging and with respect to the recent theory of synaptic plasticity."],["dc.identifier.doi","10.3389/fncom.2013.00087"],["dc.identifier.fs","597034"],["dc.identifier.pmid","23898261"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/10673"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/58094"],["dc.language.iso","en"],["dc.notes","This work is supported by the Federal Ministry of \r\nEducation and Research(BMBF)Germany under grant number \r\n01GQ1005B."],["dc.notes.intern","Merged from goescholar"],["dc.relation.issn","1662-5188"],["dc.relation.orgunit","Fakultät für Physik"],["dc.rights","Goescholar"],["dc.rights.access","openAccess"],["dc.rights.uri","https://goedoc.uni-goettingen.de/licenses"],["dc.title","Critical dynamics in associative memory networks."],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","063034"],["dc.bibliographiccitation.journal","New Journal of Physics"],["dc.bibliographiccitation.volume","15"],["dc.contributor.author","Lukovic, Mirko"],["dc.contributor.author","Geisel, Theo"],["dc.contributor.author","Eule, Stephan"],["dc.date.accessioned","2018-11-07T09:23:36Z"],["dc.date.available","2018-11-07T09:23:36Z"],["dc.date.issued","2013"],["dc.description.abstract","We investigate the geometric properties of two-dimensional continuous time random walks that are used extensively to model stochastic processes exhibiting anomalous diffusion in a variety of different fields. Using the concept of subordination, we determine exact analytical expressions for the average perimeter and area of the convex hulls for this class of non-Markovian processes. As the convex hull is a simple measure to estimate the home range of animals, our results give analytical estimates for the home range of foraging animals that perform sub-diffusive search strategies such as some Mediterranean seabirds and animals that ambush their prey. We also apply our results to Levy flights where possible."],["dc.description.sponsorship","IMPRS-pbcs"],["dc.identifier.doi","10.1088/1367-2630/15/6/063034"],["dc.identifier.fs","597030"],["dc.identifier.isi","000320698800005"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/10560"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/29622"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Iop Publishing Ltd"],["dc.relation.issn","1367-2630"],["dc.relation.orgunit","Fakultät für Physik"],["dc.rights","CC BY 3.0"],["dc.title","Area and perimeter covered by anomalous diffusion processes"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","e1002438"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","PLoS Computational Biology"],["dc.bibliographiccitation.volume","8"],["dc.contributor.author","Battaglia, Demian"],["dc.contributor.author","Witt, Annette"],["dc.contributor.author","Wolf, Fred"],["dc.contributor.author","Geisel, Theo"],["dc.date.accessioned","2017-09-07T11:46:13Z"],["dc.date.available","2017-09-07T11:46:13Z"],["dc.date.issued","2012"],["dc.description.abstract","Anatomic connections between brain areas affect information flow between neuronal circuits and the synchronization of neuronal activity. However, such structural connectivity does not coincide with effective connectivity (or, more precisely, causal connectivity), related to the elusive question “Which areas cause the present activity of which others?”. Effective connectivity is directed and depends flexibly on contexts and tasks. Here we show that dynamic effective connectivity can emerge from transitions in the collective organization of coherent neural activity. Integrating simulation and semi-analytic approaches, we study mesoscale network motifs of interacting cortical areas, modeled as large random networks of spiking neurons or as simple rate units. Through a causal analysis of time-series of model neural activity, we show that different dynamical states generated by a same structural connectivity motif correspond to distinct effective connectivity motifs. Such effective motifs can display a dominant directionality, due to spontaneous symmetry breaking and effective entrainment between local brain rhythms, although all connections in the considered structural motifs are reciprocal. We show then that transitions between effective connectivity configurations (like, for instance, reversal in the direction of inter-areal interactions) can be triggered reliably by brief perturbation inputs, properly timed with respect to an ongoing local oscillation, without the need for plastic synaptic changes. Finally, we analyze how the information encoded in spiking patterns of a local neuronal population is propagated across a fixed structural connectivity motif, demonstrating that changes in the active effective connectivity regulate both the efficiency and the directionality of information transfer. Previous studies stressed the role played by coherent oscillations in establishing efficient communication between distant areas. Going beyond these early proposals, we advance here that dynamic interactions between brain rhythms provide as well the basis for the self-organized control of this “communication-through-coherence”, making thus possible a fast “on-demand” reconfiguration of global information routing modalities."],["dc.identifier.doi","10.1371/journal.pcbi.1002438"],["dc.identifier.gro","3151853"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/7868"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/8682"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","public"],["dc.notes.submitter","chake"],["dc.relation.issn","1553-7358"],["dc.rights","CC BY 2.5"],["dc.rights.uri","https://creativecommons.org/licenses/by/2.5"],["dc.title","Dynamic Effective Connectivity of Inter-Areal Brain Circuits"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","068101"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","Physical Review Letters"],["dc.bibliographiccitation.volume","102"],["dc.contributor.author","Kirst, Christoph"],["dc.contributor.author","Geisel, Theo"],["dc.contributor.author","Timme, Marc"],["dc.date.accessioned","2018-11-07T08:32:45Z"],["dc.date.available","2018-11-07T08:32:45Z"],["dc.date.issued","2009"],["dc.description.abstract","The response of a neuron to synaptic input strongly depends on whether or not the neuron has just emitted a spike. We propose a neuron model that after spike emission exhibits a partial response to residual input charges and study its collective network dynamics analytically. We uncover a desynchronization mechanism that causes a sequential desynchronization transition: In globally coupled neurons an increase in the strength of the partial response induces a sequence of bifurcations from states with large clusters of synchronously firing neurons, through states with smaller clusters to completely asynchronous spiking. We briefly discuss key consequences of this mechanism for more general networks of biophysical neurons."],["dc.identifier.doi","10.1103/PhysRevLett.102.068101"],["dc.identifier.fs","503776"],["dc.identifier.isi","000263389500068"],["dc.identifier.pmid","19257635"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/7964"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/17412"],["dc.notes.intern","Merged from goescholar"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Amer Physical Soc"],["dc.relation.issn","0031-9007"],["dc.relation.orgunit","Fakultät für Physik"],["dc.rights","CC BY 3.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/3.0"],["dc.title","Sequential Desynchronization in Networks of Spiking Neurons with Partial Reset"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","e26457"],["dc.bibliographiccitation.issue","10"],["dc.bibliographiccitation.journal","PLoS ONE"],["dc.bibliographiccitation.volume","6"],["dc.contributor.author","Hennig, Holger"],["dc.contributor.author","Fleischmann, Ragnar"],["dc.contributor.author","Fredebohm, Anneke"],["dc.contributor.author","Hagmayer, York"],["dc.contributor.author","Nagler, Jan"],["dc.contributor.author","Witt, Annette"],["dc.contributor.author","Theis, Fabian J."],["dc.contributor.author","Geisel, Theo"],["dc.date.accessioned","2018-11-07T08:50:38Z"],["dc.date.available","2018-11-07T08:50:38Z"],["dc.date.issued","2011"],["dc.description.abstract","Although human musical performances represent one of the most valuable achievements of mankind, the best musicians perform imperfectly. Musical rhythms are not entirely accurate and thus inevitably deviate from the ideal beat pattern. Nevertheless, computer generated perfect beat patterns are frequently devalued by listeners due to a perceived lack of human touch. Professional audio editing software therefore offers a humanizing feature which artificially generates rhythmic fluctuations. However, the built-in humanizing units are essentially random number generators producing only simple uncorrelated fluctuations. Here, for the first time, we establish long-range fluctuations as an inevitable natural companion of both simple and complex human rhythmic performances. Moreover, we demonstrate that listeners strongly prefer long-range correlated fluctuations in musical rhythms. Thus, the favorable fluctuation type for humanizing interbeat intervals coincides with the one generically inherent in human musical performances."],["dc.identifier.doi","10.1371/journal.pone.0026457"],["dc.identifier.isi","000296519600019"],["dc.identifier.pmid","22046289"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/8345"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/21739"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.relation.issn","1932-6203"],["dc.rights","CC BY 2.5"],["dc.rights.uri","https://creativecommons.org/licenses/by/2.5"],["dc.title","The Nature and Perception of Fluctuations in Human Musical Rhythms"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["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.issue","1"],["dc.bibliographiccitation.journal","Scientific Reports"],["dc.bibliographiccitation.volume","9"],["dc.contributor.author","Datseris, George"],["dc.contributor.author","Ziereis, Annika"],["dc.contributor.author","Albrecht, Thorsten"],["dc.contributor.author","Hagmayer, York"],["dc.contributor.author","Priesemann, Viola"],["dc.contributor.author","Geisel, Theo"],["dc.date.accessioned","2020-12-10T18:11:11Z"],["dc.date.available","2020-12-10T18:11:11Z"],["dc.date.issued","2019"],["dc.identifier.doi","10.1038/s41598-019-55981-3"],["dc.identifier.eissn","2045-2322"],["dc.identifier.pmid","31882842"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/17180"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/73916"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.notes.intern","Merged from goescholar"],["dc.notes.intern","Merged from goescholar"],["dc.relation.orgunit","Fakultät für Physik"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0/"],["dc.title","Microtiming Deviations and Swing Feel in Jazz"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","011001"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Physical Review X"],["dc.bibliographiccitation.volume","1"],["dc.contributor.author","Belik, Vitaly"],["dc.contributor.author","Geisel, Theo"],["dc.contributor.author","Brockmann, Dirk"],["dc.date.accessioned","2018-11-07T08:53:18Z"],["dc.date.available","2018-11-07T08:53:18Z"],["dc.date.issued","2011"],["dc.description.abstract","We investigate a model for spatial epidemics explicitly taking into account bidirectional movements between base and destination locations on individual mobility networks. We provide a systematic analysis of generic dynamical features of the model on regular and complex metapopulation network topologies and show that significant dynamical differences exist to ordinary reaction-diffusion and effective force of infection models. On a lattice we calculate an expression for the velocity of the propagating epidemic front and find that, in contrast to the diffusive systems, our model predicts a saturation of the velocity with an increasing traveling rate. Furthermore, we show that a fully stochastic system exhibits a novel threshold for the attack ratio of an outbreak that is absent in diffusion and force of infection models. These insights not only capture natural features of human mobility relevant for the geographical epidemic spread, they may serve as a starting point for modeling important dynamical processes in human and animal epidemiology, population ecology, biology, and evolution."],["dc.description.sponsorship","Volkswagen Foundation; EU"],["dc.identifier.doi","10.1103/PhysRevX.1.011001"],["dc.identifier.fs","585671"],["dc.identifier.isi","000310504700001"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/7963"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/22376"],["dc.notes.intern","Merged from goescholar"],["dc.notes.oa","gold"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Amer Physical Soc"],["dc.relation","info:eu-repo/grantAgreement/EC/FP7/231807/EU//EPIWORK"],["dc.relation.issn","2160-3308"],["dc.relation.orgunit","Fakultät für Physik"],["dc.rights","CC BY 3.0"],["dc.title","Natural Human Mobility Patterns and Spatial Spread of Infectious Diseases"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","073045"],["dc.bibliographiccitation.issue","7"],["dc.bibliographiccitation.journal","New Journal of Physics"],["dc.bibliographiccitation.volume","11"],["dc.contributor.affiliation","Ng, G S;"],["dc.contributor.affiliation","Hennig, H;"],["dc.contributor.affiliation","Fleischmann, R;"],["dc.contributor.affiliation","Kottos, T;"],["dc.contributor.affiliation","Geisel, T;"],["dc.contributor.author","Ng, G. S."],["dc.contributor.author","Hennig, Holger"],["dc.contributor.author","Fleischmann, Ragnar"],["dc.contributor.author","Kottos, Tsampikos"],["dc.contributor.author","Geisel, Theo"],["dc.date.accessioned","2018-11-07T08:27:41Z"],["dc.date.available","2018-11-07T08:27:41Z"],["dc.date.issued","2009"],["dc.date.updated","2022-02-09T18:32:47Z"],["dc.description.abstract","We study the decay of an atomic Bose-Einstein condensate (BEC) population N(tau) from the leaking boundaries of an optical lattice (OL). For a rescaled interatomic interaction strength Lambda > Lambda(b), discrete breathers (DBs) are created that prevent the atoms from reaching the leaking boundaries. Collisions of other lattice excitations with the outermost DBs result in avalanches, i.e. steps in N(tau), which for a whole range of Lambda-values follow a scale-free distribution P(J = delta N) similar to 1/J(alpha). A theoretical analysis of the mixed phase space of the system indicates that 1 < alpha < 3, in agreement with our numerical findings."],["dc.description.sponsorship","United States-Israel Binational Science Foundation (BSF); DFG [760]"],["dc.identifier.doi","10.1088/1367-2630/11/7/073045"],["dc.identifier.eissn","1367-2630"],["dc.identifier.fs","509673"],["dc.identifier.isi","000268324700009"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?goescholar/4056"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/16259"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.relation.issn","1367-2630"],["dc.relation.orgunit","Fakultät für Physik"],["dc.rights.access","openAccess"],["dc.rights.uri","https://goedoc.uni-goettingen.de/licenses"],["dc.subject.ddc","530"],["dc.title","Avalanches of Bose-Einstein condensates in leaking optical lattices"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","P249"],["dc.bibliographiccitation.issue","Suppl 1"],["dc.bibliographiccitation.journal","BMC Neuroscience"],["dc.bibliographiccitation.lastpage","2"],["dc.bibliographiccitation.volume","10"],["dc.contributor.author","Tchumatchenko, Tatjana"],["dc.contributor.author","Malyshev, Aleksey"],["dc.contributor.author","Geisel, Theo"],["dc.contributor.author","Volgushev, Maxim"],["dc.contributor.author","Wolf, Fred"],["dc.date.accessioned","2011-04-14T14:08:59Z"],["dc.date.accessioned","2021-10-11T11:31:09Z"],["dc.date.available","2011-04-14T14:08:59Z"],["dc.date.available","2021-10-11T11:31:09Z"],["dc.date.issued","2009"],["dc.identifier.citation","Tchumatchenko, Tatjana; Malyshev, Aleksey; Geisel, Theo; Volgushev, Maxim; Wolf, Fred (2009): On the temporal structure of correlated activity in a pair of neurons - BMC Neuroscience, Vol. 10, Nr. Suppl 1, p. P249-"],["dc.identifier.doi","10.1186/1471-2202-10-S1-P249"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/6132"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/90593"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.relation.orgunit","Fakultät für Physik"],["dc.rights","Goescholar"],["dc.rights.access","openAccess"],["dc.rights.uri","http://goedoc.uni-goettingen.de/licenses"],["dc.subject","correlated activity; neurons"],["dc.subject.ddc","530"],["dc.subject.ddc","573"],["dc.subject.ddc","573.8"],["dc.subject.ddc","612"],["dc.subject.ddc","612.8"],["dc.title","On the temporal structure of correlated activity in a pair of neurons"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]