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By focusing on transitions in these properties, boundary mapping techniques can identify borders between adjacent brain areas.
In many of these cases, the basic strategy has been to identify borders between areas by identifying transitions in the given property.
We then performed cortical-surface-based cross-subject averages of complex-valued (amplitude and phase) data (Sereno and Huang 2006; Hagler et al. 2007) and calculated visual field sign from the polar angle and eccentricity averages to identify borders in early areas (Sereno et al. 1995).
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For example, during the study it was common when using SPSS-GIS for the participants to: Open a GIS application and manually identify bordering areas on a map.
Instead, tools are needed to assess the efficacy of an existing partitioning scheme, in terms of the affinities within the identified borders and the strength of the borders.
Two putative dibasic furin cleavage sites were identified bordering the sequence of the HDL BGBP.
The automatically identified border between the presumed core fields A1 and R was oriented almost perpendicular to HG in most hemispheres, with a mean angle of 67°, a range of 15 90°, and an interquartile range of 23°.
Further genetic analyses coupled with a fine grained sampling design are needed to precisely identify the borders of genetic stocks.
Firstly, we attempted to identify the borders of the frequency bands employing a k-means clustering algorithm.
Phase-encoding studies aim to reveal topographic organization in order to identify the borders of distinct visual areas.
In separate localizer runs, we presented flickering bowtie stimuli to identify the borders of visual areas V1 through V4.
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