Löwel, Siegrid

[["dc.bibliographiccitation.firstpage","1335"],["dc.bibliographiccitation.journal","Neurocomputing"],["dc.bibliographiccitation.lastpage","1339"],["dc.bibliographiccitation.volume","38-40"],["dc.contributor.author","Kaschube, Matthias"],["dc.contributor.author","Wolf, Fred"],["dc.contributor.author","Geisel, Theo"],["dc.contributor.author","Löwel, Siegrid"],["dc.date.accessioned","2017-09-07T11:46:12Z"],["dc.date.available","2017-09-07T11:46:12Z"],["dc.date.issued","2001"],["dc.description.abstract","Our visual system preferentially groups contour segments that not only have the same orientation but are colinear as well. Long-range horizontal connections are thought to play an important role in context-dependent modifications of neuronal responses. Since the topology of these connections shows a close relation to the perceptual grouping criterion of colinearity, we tested whether the statistical properties of real world images are biased towards colinear contours. By wavelet analysis we detected contours in images of natural environments and calculated their spatial correlations. In urban as well as in natural environments, the correlations between colinear contour segments were larger than the correlations for parallel contour segments. These observations indicate that colinear contour segments dominate real world images and thus might bias the functional and structural development of our visual system."],["dc.identifier.doi","10.1016/s0925-2312(01)00493-3"],["dc.identifier.gro","3151855"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/8684"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.relation.issn","0925-2312"],["dc.subject","Image analysis; Natural scenes; Wavelets; Visual cortex"],["dc.title","The prevalence of colinear contours in the real world"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","7206"],["dc.bibliographiccitation.issue","16"],["dc.bibliographiccitation.journal","Journal of Neuroscience"],["dc.bibliographiccitation.lastpage","7217"],["dc.bibliographiccitation.volume","22"],["dc.contributor.author","Kaschube, M."],["dc.contributor.author","Geisel, Theo"],["dc.contributor.author","Lowel, S."],["dc.contributor.author","Wolf, Fred"],["dc.date.accessioned","2018-11-07T10:10:41Z"],["dc.date.available","2018-11-07T10:10:41Z"],["dc.date.issued","2002"],["dc.description.abstract","The layout of functional cortical maps exhibits a high degree of interindividual variability that may account for individual differences in sensory and cognitive abilities. By quantitatively assessing the interindividual variability of orientation preference columns in the primary visual cortex, we demonstrate that column sizes and shapes as well as a measure of the homogeneity of column sizes across the visual cortex are significantly clustered in genetically related animals and in the two hemispheres of individual brains. Taking the developmental timetable of column formation into account, our data indicate a substantial genetic influence on the developmental specification of visual cortical architecture and suggest ways in which genetic information may influence an individual's visual abilities."],["dc.identifier.isi","000177421000036"],["dc.identifier.pmid","12177215"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/39905"],["dc.language.iso","en"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Soc Neuroscience"],["dc.relation.eissn","1529-2401"],["dc.relation.issn","0270-6474"],["dc.subject","visual cortex; development; orientation columns; cortical maps; area 17; genetic determination"],["dc.title","Genetic influence on quantitative features of neocortical architecture"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","3251"],["dc.bibliographiccitation.issue","12"],["dc.bibliographiccitation.journal","European Journal of Neuroscience"],["dc.bibliographiccitation.lastpage","3266"],["dc.bibliographiccitation.volume","18"],["dc.contributor.author","Kaschube, Matthias"],["dc.contributor.author","Wolf, Fred"],["dc.contributor.author","Puhlmann, Mathias"],["dc.contributor.author","Rathjen, Stefan"],["dc.contributor.author","Schmidt, Karl-Friedrich"],["dc.contributor.author","Geisel, Theo"],["dc.contributor.author","Löwel, Siegrid"],["dc.date.accessioned","2017-09-07T11:45:37Z"],["dc.date.available","2017-09-07T11:45:37Z"],["dc.date.issued","2003"],["dc.description.abstract","We present a comprehensive analysis of the intrinsic variability of the periodicity of ocular dominance columns in cat primary visual cortex (area 17) and its relationship to genetic background and visual experience. We characterized the intra-areal and interindividual variability of column spacing in a large set (n = 49) of ocular dominance patterns adapting a recently developed technique for the two-dimensional analysis of orientation column patterns. Patterns were obtained from three different cat colonies (termed F, M and D), the cats having either normal visual experience or experimentally induced strabismus. Two-dimensional maps of local column spacing were calculated for every pattern. In individual cortices, local column spacings varied by > 50% with the majority of column spacings ranging between 0.6 and 1.5 mm in different animals. In animals from colonies F and M (n = 29), the mean column spacing ranged between 1.03 and 1.27 mm and exhibited no significant differences, either between the two breeds or between strabismic and normal animals. The mean spacing was moderately clustered in the left and right brain hemisphere of individual animals but not in littermates. In animals from colony D (n = 2), average column spacing ranged between 0.73 and 0.95 mm, and was thus significantly different from the distribution of spacings in animals from breeds F and M, suggesting an influence of genetic factors on the layout of ocular dominance columns. Local column spacing exhibited a considerable systematic intra-areal variation, with largest spacings along the representation of the horizontal meridian and smallest spacings along the peripheral representation of the vertical meridian. The total variability of ocular dominance column spacing comprised 24% systematic intra-areal variation, 18% interindividual differences of mean column spacing and 58% nonsystematic intra-areal variability."],["dc.identifier.doi","10.1111/j.1460-9568.2003.02979.x"],["dc.identifier.gro","3151826"],["dc.identifier.pmid","14686899"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/8656"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.notes.submitter","chake"],["dc.relation.issn","0953-816X"],["dc.title","The pattern of ocular dominance columns in cat primary visual cortex: intra- and interindividual variability of column spacing and its dependence on genetic background"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]

[["dc.contributor.author","Hoffsümmer, Frank"],["dc.contributor.author","Wolf, F."],["dc.contributor.author","Geisel, Theo"],["dc.contributor.author","Löwel, Siegrid"],["dc.contributor.author","Schmidt, K."],["dc.contributor.editor","Bower, James M."],["dc.date.accessioned","2017-11-22T09:37:46Z"],["dc.date.available","2017-11-22T09:37:46Z"],["dc.date.issued","1996"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/10180"],["dc.language.iso","en"],["dc.notes.status","new -primates"],["dc.publisher","Springer"],["dc.publisher.place","New York"],["dc.relation.ispartof","Computation and Neural Systems"],["dc.title","Sequential bifurcation and dynamic rearrangement of columnar patterns during cortical development"],["dc.type","book_chapter"],["dc.type.internalPublication","unknown"],["dspace.entity.type","Publication"]]

[["dc.contributor.author","Kaschube, Matthias"],["dc.contributor.author","Wolf, F."],["dc.contributor.author","Geisel, Theo"],["dc.contributor.author","Löwel, Siegrid"],["dc.date.accessioned","2017-11-22T08:54:13Z"],["dc.date.available","2017-11-22T08:54:13Z"],["dc.date.issued","1999"],["dc.format.extent","480"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/10174"],["dc.language.iso","en"],["dc.notes.status","new -primates"],["dc.publisher","Thieme"],["dc.publisher.place","Stuttgart"],["dc.relation.ispartof","Proceedings of the 27th Göttingen Neurobiology Conference"],["dc.title","Quantifying the Variability of Patterns of Orientation Columns in Cat’s Area 17: Correlation-Lengths and Wavelengths"],["dc.type","book_chapter"],["dc.type.internalPublication","unknown"],["dspace.entity.type","Publication"]]

[["dc.contributor.author","Kaschube, Matthias"],["dc.contributor.author","Wolf, F."],["dc.contributor.author","Geisel, Theo"],["dc.contributor.author","Rathjen, Stefan"],["dc.contributor.author","Löwel, Siegrid"],["dc.date.accessioned","2017-11-21T15:23:16Z"],["dc.date.available","2017-11-21T15:23:16Z"],["dc.date.issued","2001"],["dc.format.extent","546"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/10164"],["dc.language.iso","en"],["dc.notes.status","new -primates"],["dc.publisher","Thieme Verlag"],["dc.relation.ispartof","28th Göttingen Neurobiology Conference, Göttingen"],["dc.title","2-D Analysis of Patterns of Ocular Dominance Columns in Cat Primary Visual Cortex"],["dc.type","book_chapter"],["dc.type.internalPublication","unknown"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","A051.13"],["dc.contributor.author","Kaschube, Matthias"],["dc.contributor.author","Wolf, F."],["dc.contributor.author","Geisel, Theo"],["dc.contributor.author","Löwel, Siegrid"],["dc.date.accessioned","2017-11-21T14:42:26Z"],["dc.date.available","2017-11-21T14:42:26Z"],["dc.date.issued","2002"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/10161"],["dc.language.iso","en"],["dc.notes.status","new -primates"],["dc.relation.conference","3rd Forum of European Neuroscience"],["dc.relation.eventend","2002-07-17"],["dc.relation.eventlocation","Paris"],["dc.relation.eventstart","2002-07-13"],["dc.relation.ispartof","Federation of European Neuroscience Societies (FENS) Abstracts"],["dc.title","Building cortical architectures for central and peripheral vision"],["dc.type","conference_paper"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","415"],["dc.bibliographiccitation.journal","Neurocomputing"],["dc.bibliographiccitation.lastpage","423"],["dc.bibliographiccitation.volume","32-33"],["dc.contributor.author","Kaschube, Matthias"],["dc.contributor.author","Wolf, Fred"],["dc.contributor.author","Geisel, Theo"],["dc.contributor.author","Löwel, Siegrid"],["dc.date.accessioned","2017-09-07T11:46:14Z"],["dc.date.available","2017-09-07T11:46:14Z"],["dc.date.issued","2002"],["dc.description.abstract","In the visual cortex, orientation domains are arranged in complex patterns, assumed to exhibit a high degree of interindividual variability. In the present study, we quantitatively analyzed this variability using 2-deoxyglucose (2-DG) labeled patterns of orientation domains in area 17 of cat visual cortex. We calculated wavelengths, correlation-lengths, anisotropy parameters and band-parallelism parameters within the entire area 17 and analyzed their statistical relationships. All parameters vary considerably among different individuals and appear to be statistically independent. These analyses identify sensitive quantitative indicators for the overall similarity and dissimilarity of cortical orientation maps and confirm their strong interindividual variability."],["dc.identifier.doi","10.1016/s0925-2312(00)00194-6"],["dc.identifier.gro","3151857"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/8687"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.relation.issn","0925-2312"],["dc.title","Quantifying the variability of patterns of orientation domains in the visual cortex of cats"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","525"],["dc.bibliographiccitation.issue","5-6"],["dc.bibliographiccitation.journal","Journal of Physiology-Paris"],["dc.bibliographiccitation.lastpage","537"],["dc.bibliographiccitation.volume","94"],["dc.contributor.author","Wolf, F."],["dc.contributor.author","Pawelzik, K."],["dc.contributor.author","Scherf, O."],["dc.contributor.author","Geisel, T."],["dc.contributor.author","Löwel, S."],["dc.date.accessioned","2017-09-07T11:46:16Z"],["dc.date.available","2017-09-07T11:46:16Z"],["dc.date.issued","2000"],["dc.description.abstract","The pattern of ocular dominance columns in primary visual cortex of mammals such as cats and macaque monkeys arises during development by the activity-dependent refinement of thalamocortical connections. Manipulating visual experience in kittens by the induction of squint leads to the emergence of ocular dominance columns with a larger size and larger column-to-column spacing than in normally raised animals. The mechanism underlying this phenomenon is presently unknown. Theory suggests that experience cannot influence the spacing of columns if the development proceeds through purely Hebbian mechanisms. Here we study a developmental model in which Hebbian mechanisms are complemented by activity-dependent regulation of the total strength of afferent synapses converging onto a cortical neurone. We show that this model implies an influence of visual experience on the spacing of ocular dominance columns and provides a conceptually simple explanation for the emergence of larger sized columns in squinting animals. Assuming that during development cortical neurones become active in local groups, which we call co-activated cortical domains (CCDs), ocular dominance segregation is controlled by the size of these groups: (1) Size and spacing of ocular dominance columns are proportional to the size σ of CCDs. (2) There is a critical size σ of CCDs such that ocular dominance columns form if σ<σ but do not form spontaneously if σ>σ . This critical size of CCDs is determined by the correlation functions of activity patterns in the two eyes and specifies the influence of experience on ocular dominance segregation. We show that σ is larger with squint than with normal visual experience. Since experimental evidence indicates that the size of CCDs decreases during development, ocular dominance columns are predicted to form earlier and with a larger spacing in squinters compared to normal animals."],["dc.identifier.doi","10.1016/s0928-4257(00)01104-9"],["dc.identifier.gro","3151873"],["dc.identifier.pmid","11165917"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/8704"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.notes.submitter","chake"],["dc.relation.issn","0928-4257"],["dc.title","How can squint change the spacing of ocular dominance columns?"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","821"],["dc.bibliographiccitation.journal","Society for Neuroscience Abstracts"],["dc.contributor.author","Kaschube, Matthias"],["dc.contributor.author","Wolf, F."],["dc.contributor.author","Rathjen, Stefan"],["dc.contributor.author","Geisel, Theo"],["dc.contributor.author","Löwel, Siegrid"],["dc.date.accessioned","2017-11-21T15:30:06Z"],["dc.date.available","2017-11-21T15:30:06Z"],["dc.date.issued","2001"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/10166"],["dc.language.iso","en"],["dc.notes.status","new -primates"],["dc.title","2-D Analysis of Ocular Dominance Patterns in Cat Primary Visual Cortex"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dspace.entity.type","Publication"]]