Literature DB >> 15935485

Neurogeometry and potential synaptic connectivity.

Armen Stepanyants1, Dmitri B Chklovskii.   

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:

Year:  2005        PMID: 15935485     DOI: 10.1016/j.tins.2005.05.006

Source DB:  PubMed          Journal:  Trends Neurosci        ISSN: 0166-2236            Impact factor:   13.837


  122 in total

1.  The seven-pass transmembrane cadherin Flamingo controls dendritic self-avoidance via its binding to a LIM domain protein, Espinas, in Drosophila sensory neurons.

Authors:  Daisuke Matsubara; Shin-Ya Horiuchi; Kohei Shimono; Tadao Usui; Tadashi Uemura
Journal:  Genes Dev       Date:  2011-09-15       Impact factor: 11.361

2.  The DIADEM metric: comparing multiple reconstructions of the same neuron.

Authors:  Todd A Gillette; Kerry M Brown; Giorgio A Ascoli
Journal:  Neuroinformatics       Date:  2011-09

3.  Intrinsic morphological diversity of thick-tufted layer 5 pyramidal neurons ensures robust and invariant properties of in silico synaptic connections.

Authors:  Srikanth Ramaswamy; Sean L Hill; James G King; Felix Schürmann; Yun Wang; Henry Markram
Journal:  J Physiol       Date:  2011-11-14       Impact factor: 5.182

4.  Potential connectomics complements the endeavour of 'no synapse left behind' in the cortex.

Authors:  Giorgio A Ascoli
Journal:  J Physiol       Date:  2012-02-15       Impact factor: 5.182

5.  A scaling law derived from optimal dendritic wiring.

Authors:  Hermann Cuntz; Alexandre Mathy; Michael Häusser
Journal:  Proc Natl Acad Sci U S A       Date:  2012-06-19       Impact factor: 11.205

6.  Molecular layer inhibitory interneurons provide feedforward and lateral inhibition in the dorsal cochlear nucleus.

Authors:  Michael T Roberts; Laurence O Trussell
Journal:  J Neurophysiol       Date:  2010-08-18       Impact factor: 2.714

Review 7.  Spine plasticity in the motor cortex.

Authors:  Xinzhu Yu; Yi Zuo
Journal:  Curr Opin Neurobiol       Date:  2010-08-20       Impact factor: 6.627

8.  The natverse, a versatile toolbox for combining and analysing neuroanatomical data.

Authors:  Alexander Shakeel Bates; James D Manton; Sridhar R Jagannathan; Marta Costa; Philipp Schlegel; Torsten Rohlfing; Gregory Sxe Jefferis
Journal:  Elife       Date:  2020-04-14       Impact factor: 8.140

9.  Connecting connectomes.

Authors:  Maryann E Martone; Giorgio A Ascoli
Journal:  Neuroinformatics       Date:  2013-10

Review 10.  Micro-rewiring as a substrate for learning.

Authors:  William M DeBello
Journal:  Trends Neurosci       Date:  2008-09-23       Impact factor: 13.837

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