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Cited by 296

The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.

The Scalable Brain Atlas: Instant Web-Based Access to Public Brain Atlases and Related Content

Open access
Bakker, Rembrandt, Tiesinga, Paul, Kötter, Rolf·2015·Neuroinformatics

Abstract

The Scalable Brain Atlas (SBA) is a collection of web services that provide unified access to a large collection of brain atlas templates for different species. Its main component is an atlas viewer that displays brain atlas data as a stack of slices in which stereotaxic coordinates and brain regions can be selected. These are subsequently used to launch web queries to resources that require coordinates or region names as input. It supports plugins which run inside the viewer and respond when a new slice, coordinate or region is selected. It contains 20 atlas templates in six species, and plugins to compute coordinate transformations, display anatomical connectivity and fiducial points, and retrieve properties, descriptions, definitions and 3d reconstructions of brain regions. The ambition of SBA is to provide a unified representation of all publicly available brain atlases directly in the web browser, while remaining a responsive and light weight resource that specializes in atlas comparisons, searches, coordinate transformations and interactive displays.

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Crossref · 10.1007/s12021-014-9258-x

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Metadata

Authors
Bakker, R., Tiesinga, P., & Kötter, R.
Venue
Neuroinformatics
Published
2015-02-17
Volume
13
Issue
3
Pages
353-366
ISSN
  • 1539-2791 (ISSN-L)
  • 1559-0089
OpenAlex
W1858367097
Cited by
296
References
39
FWCI
9.77
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: The Scalable Brain Atlas: Instant Web-Based Access to Public Brain Atlases and Related Content. https://app.cochat.ai/papers/10.1007/s12021-014-9258-x
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Bakker, R., Tiesinga, P., & Kötter, R. (2015). The Scalable Brain Atlas: Instant Web-Based Access to Public Brain Atlases and Related Content. Neuroinformatics. https://doi.org/10.1007/s12021-014-9258-x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.