Abstract
There is currently no unique catalog of cortical GABAergic interneuron types. In 2013, we asked 48 leading neuroscientists to classify 320 interneurons by inspecting images of their morphology. That study was the first to quantify the degree of agreement among neuroscientists in morphology-based interneuron classification, showing high agreement for the chandelier and Martinotti types, yet low agreement for most of the remaining types considered. Here we present the dataset containing the classification choices by the neuroscientists according to interneuron type as well as to five prominent morphological features. These data can be used as crisp or soft training labels for learning supervised machine learning interneuron classifiers, while further analyses can try to pinpoint anatomical characteristics that make an interneuron especially difficult or especially easy to classify.
Highlights
Background & SummaryThere is currently no unique catalog of cortical GABAergic interneuron types[1]
In 2013, we asked 48 leading neuroscientists to classify 320 interneurons by inspecting 2D and 3D images of their morphology. This landmark study was the first to quantify the degree of agreement among neuroscientists in morphology-based interneuron classification, showing high agreement for the chandelier and Martinotti types, yet low for most of the remaining types considered such as, for example, the large basket type
In addition to interneuron type, the neuroscientists classified the cells according to prominent morphological features, such as whether an axon was intra- or trans-laminar
Summary
There is currently no unique catalog of cortical GABAergic interneuron types[1]. Forming such a catalog is a major goal in neuroscience and is currently pursued by, among others, the Human Brain Project, the Allen Institute and the BRAIN initiative[2,3]. Besides enabling one to reproduce the study by[7], these data allow for further analyses They have been used to assign class labels for supervised[7,12,13] and semi-supervised[14] classification of interneurons, to cluster neuroscientists according to their classification choices[15], to quantify neuroscientists’ accuracy when identifying Martinotti cells from morphology images and use it as a baseline for assessing supervised classifiers[16], as well as to contrast the classification choices of these 48 neuroscientists to those from a particular research group[16]. While there was little inter-neuroscientist agreement on the large basket type, some cells were clearly members of this type as they were labeled as large basket cells by a majority of the neuroscientists
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