TY - JOUR
T1 - Interneuron Diversity series
T2 - Hippocampal interneuron classifications - Making things as simple as possible, not simpler
AU - Maccaferri, Gianmaria
AU - Lacaille, Jean Claude
N1 - Funding Information:
We thank Chris J. McBain, Tamas F. Freund and an anonymous reviewer for their constructive comments and insights on the manuscript during the reviewing process. Our research is supported by the National Institute of Mental Health (grant MH067561 to G.M.), the Canadian Institutes of Health Research and the Fonds de la Recherche en Santé du Québec (J.C.L.). J.C.L. is the recipient of a Canada Research Chair in Cellular and Molecular Neurophysiology.
PY - 2003/10/1
Y1 - 2003/10/1
N2 - The nervous system is made up of many specific types of neuron intricately intertwined to form complex networks. Identifying and defining the characteristic features of the many different neuronal types is essential for achieving a cellular understanding of complex activity from perception to cognition. So far, cortical GABAergic interneurons have represented the epitome of cellular diversity in the CNS. Despite the desperate need for effective classification criteria allowing a common language among neuroscientists, interneurons still evoke memories of Babel. Several approaches are now available to overcome the challenges and problems associated with the various classification systems used so far.
AB - The nervous system is made up of many specific types of neuron intricately intertwined to form complex networks. Identifying and defining the characteristic features of the many different neuronal types is essential for achieving a cellular understanding of complex activity from perception to cognition. So far, cortical GABAergic interneurons have represented the epitome of cellular diversity in the CNS. Despite the desperate need for effective classification criteria allowing a common language among neuroscientists, interneurons still evoke memories of Babel. Several approaches are now available to overcome the challenges and problems associated with the various classification systems used so far.
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U2 - 10.1016/j.tins.2003.08.002
DO - 10.1016/j.tins.2003.08.002
M3 - Review article
C2 - 14522150
AN - SCOPUS:0141756285
SN - 0166-2236
VL - 26
SP - 564
EP - 571
JO - Trends in Neurosciences
JF - Trends in Neurosciences
IS - 10
ER -