English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Tracing data as collated by CoCoMac, a seminal neuroinformatics database, isat multiple resolutions -- white matter tracts were studied for areas and theirsubdivisions by different reports. Network theoretic analysis of thismulti-resolution data often assumes that the data at various resolutions isequivalent, which may not be correct. In this paper we propose three methods toresolve the multi-resolution issue such that the resultant networks haveconnectivity data at only one resolution. The different resultant networks arecompared in terms of their network analysis metrics and degree distributions.

Uniresolution representations of white-matter data from CoCoMac