Encyclopedia of Computational Neuroscience

Living Edition
| Editors: Dieter Jaeger, Ranu Jung

Connectome, General

  • Yoonsuck ChoeEmail author
Living reference work entry
DOI: https://doi.org/10.1007/978-1-4614-7320-6_277-1

Definition

Connectome is the full connection matrix (or the full wiring diagram) of all neurons in the brain (Sporns et al. 2005). Current efforts in connectomics (study of the connectome) can be grouped along two axes, one based on scale (macro [or regional] vs. micro [or cellular] connectome) and the other based on research focus (data acquisition technology vs. theoretical frameworks and analysis). The end goal of connectomics is to understand how the brain works based on its intricate circuitry, i.e., to go from complete structure to detailed function. See Seung (2012) and Sporns (2011, 2012) for a general overview of connectomics.

Detailed Description

The main underlying assumption in connectomics is that the brain’s connective architecture determines in large part its function (Sporns 2012; Seung 2012). This assumption can be put in an evolutionary context, as noted by Swanson (2003): Evolution from simple neuronal networks in primitive animals to complex brains of animals like...

Keywords

Effective Connectivity Synthetic Circuit Major White Matter Tract Human Connectome Project High Spatial Scale 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Notes

Acknowledgments

Part of the contents of this chapter (section “Analysis and Utilization of Connectome Data”) first appeared in Choe et al. (2011).

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© Springer Science+Business Media New York 2014

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringTexas A&M UniversityCollege StationUSA