Petilla terminology: nomenclature of features of GABAergic interneurons of the cerebral cortex

Abstract

Neuroscience produces a vast amount of data from an enormous diversity of neurons. A neuronal classification system is essential to organize such data and the knowledge that is derived from them. Classification depends on the unequivocal identification of the features that distinguish one type of neuron from another. The problems inherent in this are particularly acute when studying cortical interneurons. To tackle this, we convened a representative group of researchers to agree on a set of terms to describe the anatomical, physiological and molecular features of GABAergic interneurons of the cerebral cortex. The resulting terminology might provide a stepping stone towards a future classification of these complex and heterogeneous cells. Consistent adoption will be important for the success of such an initiative, and we also encourage the active involvement of the broader scientific community in the dynamic evolution of this project.

DOI: 10.1038/nrn2402

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@article{Ascoli2008PetillaTN, title={Petilla terminology: nomenclature of features of GABAergic interneurons of the cerebral cortex}, author={Giorgio A. Ascoli and Lidia Alonso-Nanclares and Stewart A. Anderson and Germ{\'a}n Barrionuevo and Ruth Benavides-Piccione and Andreas Burkhalter and Gy{\"{o}rgy Buzs{\'a}ki and Bruno Cauli and Javier DeFelipe and Alfonso Fair{\'e}n and Dirk Feldmeyer and Gordon James Fishell and Yves Fr{\'e}gnac and Tam{\'a}s F. Freund and Daniel Gardner and Esther P. Gardner and Jesse H. Goldberg and Moritz Helmstaedter and Shaul Hestrin and Fuyuki Karube and Zolt{\'a}n F. Kisv{\'a}rday and Bertrand Lambolez and David Allan Lewis and Oscar Mar{\'i}n and Henry Markram and Alberto Mu{\~n}oz and Adam M. Packer and Carl C. H. Petersen and Kathleen S. Rockland and Jean Rossier and Bernardo Rudy and P{\'e}ter Somogyi and Jochen F Staiger and G{\'a}bor Tam{\'a}s and Alex M. Thomson and Maria Toledo-Rodriguez and Yun Wang and David C . West and Rafael Yuste}, journal={Nature Reviews Neuroscience}, year={2008}, volume={9}, pages={557-568} }