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CoCoMac specifications


Unique identifier OMICS_28194
Name CoCoMac
Alternative name Collation of Connectivity on the Macaque Brain
Restrictions to use None
Community driven No
Data access Browse
User data submission Not allowed
Version 2.0
Maintained Yes


  • person_outline Rolf Kotter

Additional information

Publication for Collation of Connectivity on the Macaque Brain

CoCoMac citations


Building the Ferretome

Front Neuroinform
PMCID: 4861729
PMID: 27242503
DOI: 10.3389/fninf.2016.00016

[…] t brain macro-connectivity and architecture database. This project is built upon the experience of a previous generation of neuroinformatics project such as XNAT, BAMS, NeuroVIISAS, and in particular CoCoMac. Specifically, inherited from CoCoMac the basic methodology and philosophy of objectivity and reproducibility, and follows the same data collation rules and standards. In additio […]


Object based representation and analysis of light and electron microscopic volume data using Blender

BMC Bioinformatics
PMCID: 4513682
PMID: 26208945
DOI: 10.1186/s12859-015-0652-7

[…] ecifically developed for visualizing and analyzing biomedical images, such as VTK [], ParaView, 3DSlicer [], InVesalius [], MIA [], and Vaa3D []. Some software tools, including the Brain Explorer [], CoCoMac [], and PointCloudXplore [], focus on a particular species.Visualization of connectome data is currently achieved using software tools including 3D View in TrakEM2 [], 3D Viewport in Knossos [ […]


Text mining for neuroanatomy using WhiteText with an updated corpus and a new web application

Front Neuroinform
PMCID: 4439553
PMID: 26052282
DOI: 10.3389/fninf.2015.00013

[…] l efforts by providing curated reports of rat brain connectivity (Bota et al., , ). The BAMS curators standardize published connectivity results obtained from independent labs into a single database. CoCoMac is a similar system that collates connectivity results from Macaque studies (Stephan, ). The WhiteText project seeks to complement these projects by automatically extracting connectivity repor […]


Structure centered portal for child psychiatry research

Front Neuroinform
PMCID: 4012203
PMID: 24817850
DOI: 10.3389/fninf.2014.00047

[…] tion, bridging between resources that integrate across species will be critical. Adding homology mapping and additional resources like the Allen Brain Institute mouse gene expression database and the CoCoMac database of connectivity will broaden the types of inference that can be supported by the portal environment. We plan to further customize our currently reported results, similar to the brain […]


Virk: an active learning based system for bootstrapping knowledge base development in the neurosciences

Front Neuroinform
PMCID: 3872296
PMID: 24399964
DOI: 10.3389/fninf.2013.00038

[…] ). This can lead to the gradual decline of a resource, to the point where it is no longer a reliable, up-to-date snapshot of the community's knowledge. For example, this happened with the well-known CoCoMac database, which was unable to keep up with the pace of the published literature on Macaque connectivity beyond 2008, because of increasing rates of publication and limited resources (Kötter, p […]


Interpreting the effects of altered brain anatomical connectivity on fMRI functional connectivity: a role for computational neural modeling

Front Hum Neurosci
PMCID: 3822330
PMID: 24273500
DOI: 10.3389/fnhum.2013.00649

[…] mponent models were employed in other studies by this group. For example, in Deco et al. (), the structural model was that of the macaque monkey obtained using anatomical connectivity values from the CoCoMac database (Kotter, ), and the neural model utilized the Wilson-Cowan formulation (Wilson and Cowan, ). An important insight they found was the critical role that conduction delays between conne […]


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CoCoMac institution(s)
Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, Netherlands; Institute of Neuroscience and Medicine, Research Center Jülich, Jülich, Germany; Department Biology II, Ludwig-Maximilians-Universität München, Munich, Germany; Faculty of Medicine, RWTH Aachen University, Aachen, Germany; RIKEN Brain Science Institute, Wako, Japan
CoCoMac funding source(s)
Supported by the German INCF Node (BMBF grant 01GQ0801), the Helmholtz Alliance on Systems Biology, JUGENE Grant JINB33, the Next-Generation Supercomputer Project of MEXT, Japan, and EU Grant 269921 (BrainScaleS).

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