Towards a supervised classification of neocortical interneuron morphologies
Abstract Background The challenge of classifying cortical interneurons is yet to be solved.Data-driven classification into established morphological types may provide insight and practical value.Results We trained models using 217 high-quality morphologies of rat somatosensory neocortex interneurons reconstructed by a single laboratory and pre-clas