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...
Interneuron classification is an important and long-debated topic in neuroscience. A recent study pr...
Abstract An accepted classification of GABAergic interneurons of the cerebral cortex is a major ...
Interneuron classification is an important and long-debated topic in neuroscience. A recent study pr...
There is currently no unique catalog of cortical GABAergic interneuron types. In 2013, we asked 48 l...
A systematic classification and accepted nomenclature of neuron types is much needed but is currentl...
International audienceA systematic classification and accepted nomenclature of neuron types is much ...
A systematic classification and accepted nomenclature of neuron types is much needed but is currentl...
A systematic classification and accepted nomenclature of neuron types is much needed but is currentl...
A systematic classification and accepted nomenclature of neuron types is much needed but is currentl...
A systematic classification and accepted nomenclature of neuron types is much needed but is currentl...
Background: The challenge of classifying cortical interneurons is yet to be solved. Data-driven clas...
A systematic classification and accepted nomenclature of neuron types is much needed but is currentl...
Background: The challenge of classifying cortical interneurons is yet to be solved. Data-driven clas...
[Background] The challenge of classifying cortical interneurons is yet to be solved. Data-driven cla...
Abstract Background The challenge of classifying cortical interneurons is yet to be solved. Data-dri...
Interneuron classification is an important and long-debated topic in neuroscience. A recent study pr...
Abstract An accepted classification of GABAergic interneurons of the cerebral cortex is a major ...
Interneuron classification is an important and long-debated topic in neuroscience. A recent study pr...
There is currently no unique catalog of cortical GABAergic interneuron types. In 2013, we asked 48 l...
A systematic classification and accepted nomenclature of neuron types is much needed but is currentl...
International audienceA systematic classification and accepted nomenclature of neuron types is much ...
A systematic classification and accepted nomenclature of neuron types is much needed but is currentl...
A systematic classification and accepted nomenclature of neuron types is much needed but is currentl...
A systematic classification and accepted nomenclature of neuron types is much needed but is currentl...
A systematic classification and accepted nomenclature of neuron types is much needed but is currentl...
Background: The challenge of classifying cortical interneurons is yet to be solved. Data-driven clas...
A systematic classification and accepted nomenclature of neuron types is much needed but is currentl...
Background: The challenge of classifying cortical interneurons is yet to be solved. Data-driven clas...
[Background] The challenge of classifying cortical interneurons is yet to be solved. Data-driven cla...
Abstract Background The challenge of classifying cortical interneurons is yet to be solved. Data-dri...
Interneuron classification is an important and long-debated topic in neuroscience. A recent study pr...
Abstract An accepted classification of GABAergic interneurons of the cerebral cortex is a major ...
Interneuron classification is an important and long-debated topic in neuroscience. A recent study pr...