New insights into the classification and nomenclature of cortical GABAergic interneurons

By J. DeFelipe, Pedro L. López-Cruz, Ruth Benavides-Piccione, Concha Bielza, Pedro Larrañaga, S. Anderson, A. Burkhalter, B. Cauli, A. Fairén, D. Feldmeyer and 32 more. Nature Reviews Neuroscience, 2013

814 citations recorded by the source corpus.

A systematic classification and accepted nomenclature of neuron types is much needed but is currently lacking. This article describes a possible taxonomical solution for classifying GABAergic interneurons of the cerebral cortex based on a novel, web-based interactive system that allows experts to classify neurons with pre-determined criteria. Using Bayesian analysis and clustering algorithms on the resulting data, we investigated the suitability of several anatomical terms and neuron names for cortical GABAergic interneurons. Moreover, we show that supervised classification models could automatically categorize interneurons in agreement with experts' assignments. These results demonstrate a practical and objective approach to the naming, characterization and classification of neurons based on community consensus.

Subfields: Biophysics, Cognitive Neuroscience, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/188cbc85794eb87fe331adb8c306d2c61ab547c0

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biophysics

  1. Henning Sprekeler

In Cognitive Neuroscience

  1. Robert Froemke
  2. Henning Sprekeler
  3. Claudia Clopath
  4. Hua Hu
  5. J. Gan
  6. Tim P. Vogels
  7. Peter Jonas
  8. Terrence J. Sejnowski

In Molecular Biology

  1. Michael Jeffrey Gandal
  2. Neelroop Parikshak
  3. Peter Jonas
  4. Sean R. Eddy
  5. Terrence J. Sejnowski
  6. Joseph R. Ecker
  7. Claudia Clopath
  8. Fred P. Davis

Citations in the corpus