Schreyer, Helene Marianne

[["dc.bibliographiccitation.artnumber","annurev-vision-100820-114239"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Annual Review of Vision Science"],["dc.bibliographiccitation.volume","8"],["dc.contributor.author","Karamanlis, Dimokratis"],["dc.contributor.author","Schreyer, Helene Marianne"],["dc.contributor.author","Gollisch, Tim"],["dc.date.accessioned","2022-07-01T07:35:18Z"],["dc.date.available","2022-07-01T07:35:18Z"],["dc.date.issued","2022"],["dc.description.abstract","An ultimate goal in retina science is to understand how the neural circuit of the retina processes natural visual scenes. Yet most studies in laboratories have long been performed with simple, artificial visual stimuli such as full-field illumination, spots of light, or gratings. The underlying assumption is that the features of the retina thus identified carry over to the more complex scenario of natural scenes. As the application of corresponding natural settings is becoming more commonplace in experimental investigations, this assumption is being put to the test and opportunities arise to discover processing features that are triggered by specific aspects of natural scenes. Here, we review how natural stimuli have been used to probe, refine, and complement knowledge accumulated under simplified stimuli, and we discuss challenges and opportunities along the way toward a comprehensive understanding of the encoding of natural scenes. Expected final online publication date for the Annual Review of Vision Science, Volume 8 is September 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates."],["dc.identifier.doi","10.1146/annurev-vision-100820-114239"],["dc.identifier.uri","https://www.annualreviews.org/doi/10.1146/annurev-vision-100820-114239"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-581"],["dc.relation","SFB 889: Zelluläre Mechanismen sensorischer Verarbeitung"],["dc.relation","SFB 1456: Mathematik des Experiments: Die Herausforderung indirekter Messungen in den Naturwissenschaften"],["dc.relation","SFB 1456 | Cluster B | B05: Inference of functional networks in the neuronal circuit of the retina from large-scale spike-train recordings"],["dc.relation.eissn","2374-4650"],["dc.relation.issn","2374-4642"],["dc.title","Retinal Encoding of Natural Scenes"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","149"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Nature Communications"],["dc.bibliographiccitation.volume","8"],["dc.contributor.author","Liu, Jian K."],["dc.contributor.author","Schreyer, Helene M."],["dc.contributor.author","Onken, Arno"],["dc.contributor.author","Rozenblit, Fernando"],["dc.contributor.author","Khani, Mohammad H."],["dc.contributor.author","Krishnamoorthy, Vidhyasankar"],["dc.contributor.author","Panzeri, Stefano"],["dc.contributor.author","Gollisch, Tim"],["dc.date.accessioned","2019-02-27T09:39:23Z"],["dc.date.available","2019-02-27T09:39:23Z"],["dc.date.issued","2017"],["dc.description.abstract","Neurons in sensory systems often pool inputs over arrays of presynaptic cells, giving rise to functional subunits inside a neuron's receptive field. The organization of these subunits provides a signature of the neuron's presynaptic functional connectivity and determines how the neuron integrates sensory stimuli. Here we introduce the method of spike-triggered non-negative matrix factorization for detecting the layout of subunits within a neuron's receptive field. The method only requires the neuron's spiking responses under finely structured sensory stimulation and is therefore applicable to large populations of simultaneously recorded neurons. Applied to recordings from ganglion cells in the salamander retina, the method retrieves the receptive fields of presynaptic bipolar cells, as verified by simultaneous bipolar and ganglion cell recordings. The identified subunit layouts allow improved predictions of ganglion cell responses to natural stimuli and reveal shared bipolar cell input into distinct types of ganglion cells.How a neuron integrates sensory information requires knowledge about its functional presynaptic connections. Here the authors report a new method using non-negative matrix factorization to identify the layout of presynaptic bipolar cell inputs onto retinal ganglion cells and predict their responses to natural stimuli."],["dc.description.sponsorship","Open-Access-Publikationsfonds 2017"],["dc.identifier.doi","10.1038/s41467-017-00156-9"],["dc.identifier.eissn","2041-1723"],["dc.identifier.pmid","28747662"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/14543"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/57634"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","final"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Inference of neuronal functional circuitry with spike-triggered non-negative matrix factorization"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","1692"],["dc.bibliographiccitation.issue","10"],["dc.bibliographiccitation.journal","Neuron"],["dc.bibliographiccitation.lastpage","1706.e8"],["dc.bibliographiccitation.volume","109"],["dc.contributor.author","Schreyer, Helene Marianne"],["dc.contributor.author","Gollisch, Tim"],["dc.date.accessioned","2021-06-01T10:49:50Z"],["dc.date.available","2021-06-01T10:49:50Z"],["dc.date.issued","2021"],["dc.description.abstract","The retina dissects the visual scene into parallel information channels, which extract specific visual features through nonlinear processing. The first nonlinear stage is typically considered to occur at the output of bipolar cells, resulting from nonlinear transmitter release from synaptic terminals. In contrast, we show here that bipolar cells themselves can act as nonlinear processing elements at the level of their somatic membrane potential. Intracellular recordings from bipolar cells in the salamander retina revealed frequent nonlinear integration of visual signals within bipolar cell receptive field centers, affecting the encoding of artificial and natural stimuli. These nonlinearities provide sensitivity to spatial structure below the scale of bipolar cell receptive fields in both bipolar and downstream ganglion cells and appear to arise at the excitatory input into bipolar cells. Thus, our data suggest that nonlinear signal pooling starts earlier than previously thought: that is, at the input stage of bipolar cells."],["dc.identifier.doi","10.1016/j.neuron.2021.03.015"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/86432"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-425"],["dc.relation","SFB 1456: Mathematik des Experiments: Die Herausforderung indirekter Messungen in den Naturwissenschaften"],["dc.relation","SFB 1456 | Cluster B: Data with Incomplete Information"],["dc.relation","SFB 1456 | Cluster B | B05: Inference of functional networks in the neuronal circuit of the retina from large-scale spike-train recordings"],["dc.relation.issn","0896-6273"],["dc.rights","CC BY 4.0"],["dc.title","Nonlinear spatial integration in retinal bipolar cells shapes the encoding of artificial and natural stimuli"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.contributor.author","Schreyer, Helene Marianne"],["dc.contributor.author","Gollisch, Tim"],["dc.date.accessioned","2021-03-05T08:58:52Z"],["dc.date.available","2021-03-05T08:58:52Z"],["dc.date.issued","2020"],["dc.identifier.doi","10.1101/2020.06.10.144576"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/80280"],["dc.notes.intern","DOI Import GROB-393"],["dc.title","Nonlinearities in retinal bipolar cells shape the encoding of artificial and natural stimuli"],["dc.type","preprint"],["dc.type.internalPublication","unknown"],["dspace.entity.type","Publication"]]