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PMID: 15935485 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Review

Neurogeometry and potential synaptic connectivity.

Trends in neurosciences ·Vol. 28 ·No. 7 ·2005-07-00 ·Pages 387-94

Stepanyants A, Chklovskii DB

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.

MeSH Terms
Animals Axons/ultrastructure Dendrites/ultrastructure Imaging, Three-Dimensional/methods Models, Neurological Neural Pathways/ultrastructure Neuronal Plasticity/physiology Neurons/classification,ultrastructure Synapses/ultrastructure Synaptic Transmission/physiology
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Stepanyants Armen
Department of Physics and Center for Interdisciplinary Research on Complex Systems, Northeastern University, 110 Forsyth Street, Boston, MA 02115, USA. a.stepanyants@neu.edu
Chklovskii Dmitri B
Article Info
Journal
Trends in neurosciences
Abbr.
Trends Neurosci
ISSN
0166-2236
Published
2005-07-00
Pages
387-94
Language
English
Region
England
NLM ID
7808616
Subset
IM
Grants
NINDS NIH HHS · K25 NS047138 · United States
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