Literature DB >> 26942937

Correction: Plasticity-Driven Self-Organization under Topological Constraints Accounts for Non-random Features of Cortical Synaptic Wiring.

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Abstract

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Year:  2016        PMID: 26942937      PMCID: PMC4779082          DOI: 10.1371/journal.pcbi.1004810

Source DB:  PubMed          Journal:  PLoS Comput Biol        ISSN: 1553-734X            Impact factor:   4.475


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There is a minor error in the vertical axis label of the lower right portion of Fig 5. Please view the correct version of Fig 5 below:
Fig 5

Change in synaptic weight as a function of initial synaptic weight.

The above plots show the distributions of change in synaptic weight as a function of initial synaptic weight over a ten second simulation time period. The plots on the left are from the simulated network and are in electrophysiological units. The plots on the right are from experiment [10] and are in units of volume as estimated from fluorescence data. The plots on the top show the absolute change in synaptic weight / size. The plots on the bottom show the relative change in synaptic weight / size. Single trial data.

Change in synaptic weight as a function of initial synaptic weight.

The above plots show the distributions of change in synaptic weight as a function of initial synaptic weight over a ten second simulation time period. The plots on the left are from the simulated network and are in electrophysiological units. The plots on the right are from experiment [10] and are in units of volume as estimated from fluorescence data. The plots on the top show the absolute change in synaptic weight / size. The plots on the bottom show the relative change in synaptic weight / size. Single trial data.
  1 in total

1.  Plasticity-Driven Self-Organization under Topological Constraints Accounts for Non-random Features of Cortical Synaptic Wiring.

Authors:  Daniel Miner; Jochen Triesch
Journal:  PLoS Comput Biol       Date:  2016-02-11       Impact factor: 4.475

  1 in total

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