dc.contributor.advisor | Wolf, Fred Prof. Dr. | |
dc.contributor.author | Gabrielaitis, Mantas | |
dc.date.accessioned | 2017-02-03T09:46:34Z | |
dc.date.available | 2017-02-03T09:46:34Z | |
dc.date.issued | 2017-02-03 | |
dc.identifier.uri | http://hdl.handle.net/11858/00-1735-0000-002B-7D2F-6 | |
dc.identifier.uri | http://dx.doi.org/10.53846/goediss-6109 | |
dc.identifier.uri | http://dx.doi.org/10.53846/goediss-6109 | |
dc.language.iso | eng | de |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.subject.ddc | 571.4 | de |
dc.title | Mathematical modeling of the structure and function of inner hair cell ribbon synapses | de |
dc.type | cumulativeThesis | de |
dc.contributor.referee | Wolf, Fred Prof. Dr. | |
dc.date.examination | 2015-12-09 | |
dc.description.abstracteng | Information about the auditory world enters the mammalian brain through ribbon synapses of inner hair cells. Due to their fundamental role in auditory processing, these nanoscopic structures have recently received a lot of attention from the research community. The complexity of the system requires to go beyond the standard biological approaches and apply multidisciplinary methods. In this dissertation, a set of contributions to unravel the organization and function of inner hair cell ribbon synapses by using tools of mathematical modeling are presented. | de |
dc.contributor.coReferee | Moser, Tobias Prof. Dr. | |
dc.contributor.thirdReferee | Jonas, Peter Prof. Dr. | |
dc.subject.eng | hair cell | de |
dc.subject.eng | ribbon synapse | de |
dc.subject.eng | presynaptic active zone | de |
dc.subject.eng | auditory nerve fiber | de |
dc.subject.eng | calcium dynamics | de |
dc.subject.eng | mathematical modeling | de |
dc.subject.eng | stochastic processes | de |
dc.identifier.urn | urn:nbn:de:gbv:7-11858/00-1735-0000-002B-7D2F-6-6 | |
dc.affiliation.institute | Göttinger Graduiertenschule für Neurowissenschaften, Biophysik und molekulare Biowissenschaften (GGNB) | de |
dc.subject.gokfull | Biologie (PPN619462639) | de |
dc.identifier.ppn | 878945555 | |