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The reconstitution of visual cortical feature selectivity in vitro

dc.contributor.advisorWolf, Fred Prof. Dr.
dc.contributor.authorSchottdorf, Manuel
dc.date.accessioned2018-02-09T09:25:43Z
dc.date.available2018-02-09T09:25:43Z
dc.date.issued2018-02-09
dc.identifier.urihttp://hdl.handle.net/11858/00-1735-0000-002E-E348-B
dc.identifier.urihttp://dx.doi.org/10.53846/goediss-6721
dc.language.isoengde
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.ddc530de
dc.titleThe reconstitution of visual cortical feature selectivity <i>in vitro</i>de
dc.typecumulativeThesisde
dc.contributor.refereeEnderlein, Jörg Prof. Dr.
dc.date.examination2017-08-22
dc.subject.gokPhysik (PPN621336750)de
dc.description.abstractengInformation processing in the nervous system requires the co-ordinated activity of neurons interacting in complex circuits. Despite effort to understand the design principles underlying most neuronal circuits, they remain one of the greatest challenges facing science because not all contributing neuronal circuit elements can be selectively manipulated. Here, I developed a new approach to modify the wiring diagram of neuronal circuits by constructing synthetic hybrid systems composed of simulated and living nerve cells in which key features of the wiring diagram can be artificially modified. I used the mammalian early visual system as a model pathway to perform a first connectomic structure-function study. This synthetic biology approach complements classical neurobiology, broadens our understanding of neuronal circuits, and extends the realm of questions that can be addressed experimentally.de
dc.contributor.coRefereeStühmer, Walter Prof. Dr.
dc.contributor.thirdRefereeNeef, Andreas Dr.
dc.contributor.thirdRefereeLöwel, Siegrid Prof. Dr.
dc.contributor.thirdRefereeGail, Alexander Prof. Dr.
dc.subject.engprimary visual cortexde
dc.subject.engV1de
dc.subject.engsynthetic biologyde
dc.subject.engoptogeneticsde
dc.subject.engholographyde
dc.subject.engorientation preferencede
dc.subject.enggender biasde
dc.subject.engpeer reviewde
dc.identifier.urnurn:nbn:de:gbv:7-11858/00-1735-0000-002E-E348-B-1
dc.affiliation.instituteFakultät für Physikde
dc.identifier.ppn1013634764


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