As the study of neuroscience accelerates ever faster and our understanding of the intricate workings of the brain deepens, the need to define a standardized approach to naming neuron types has become imperative. As the building blocks of the brain, neurons are studied intensely with vast amounts of data being generated and shared. With this comes several challenges as there is more and more data to describe different cell types. Furthermore, the literature contains many neuron names that are commonly used and accepted, even when it is unclear how such common usage types relate to the many proposed evidence-based types that are based on the results of new techniques. In addition, there is the significant question of comparing different data sets across labs. This all points to an urgent need for a standardized approach to naming neurons and for the organization of knowledge about their properties.