Neurogeometry and potential synaptic connectivity

Stepanyants, A., Chklovskii, D. B. (July 2005) Neurogeometry and potential synaptic connectivity. Trends in Neurosciences, 28 (7). pp. 387-394. ISSN 0166-2236

URL: http://www.sciencedirect.com/science?_ob=ArticleUR...
DOI: 10.1016/j.tins.2005.05.006

Abstract

The advent of high-quality 3D reconstructions of neuronal arbors has revived the hope of inferring synaptic connectivity from the geometric shapes of axons and dendrites, or 'neurogeometry'. A quantitative description of connectivity must be built on a sound theoretical framework. Here, we review recent developments in neurogeometry that can provide such a framework. We base the geometric description of connectivity on the concept of a 'potential synapse' - the close apposition between axons and dendrites necessary to form an actual synapse. In addition to describing potential synaptic connectivity in neuronal circuits, neurogeometry provides insight into basic features of functional connectivity, such as specificity and plasticity.

Item Type: Paper
Uncontrolled Keywords: Rat barrel cortex experience dependent plasticity PRIMARY visual cortex dendritic spines cerebral cortex in_vivo striate cortex pyramidal neurons basket cells morpholigy
Subjects: bioinformatics > quantitative biology
organs, tissues, organelles, cell types and functions > tissues types and functions > axon
organs, tissues, organelles, cell types and functions > cell types and functions > cell types > dendritic cells > dendritic arbors
organs, tissues, organelles, cell types and functions > cell types and functions > cell types > dendritic cells > dendritic arbors
organs, tissues, organelles, cell types and functions > cell types and functions > cell types > dendritic cells > dendritic arbors
CSHL Authors:
Communities: CSHL labs > Chklovskii lab
Depositing User: CSHL Librarian
Date: July 2005
Date Deposited: 05 Jan 2012 14:42
Last Modified: 05 Jan 2012 14:42
URI: http://repository.cshl.edu/id/eprint/22715

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