Neuronal morphology, which is closely related to neuronal characteristics and functions, is complex and diversified, and it has gradually attracted more and more neuroscientists to study on it. As the neuronal classification is a basic point in neuronal study but no existing universal methods take neuronal morphology into consideration, this paper dedicates to fill this blank. Firstly, this paper used Principal Component Analysis (PCA) method to select five key features from twenty neuronal morphologic features. With these key features, this paper leveraged hierarchical clustering to cluster sixty neurons randomly selected from the NeuroMorpho.Org website. As a result, these neurons were divided into four categories. Finally, we devised a new naming scheme by the range of key features' values. Experiments indicated that this classification can effectively distinguish neurons by morphology. At last, this paper discussed and analyzed the anomaly that occurs after a large number of classification experiments.
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I NTRODUCTIONHuman brain, which contains hundreds of billions of neurons, has the most complex structure and functions in a living body. As neuron is the base unit of brain, it's significant to study neurons thoroughly.Neuronal morphology is mainly referred to neurons' spacial conformation, generally including dendrite recelvmg information, soma dealing with information and axon sending information. There are also many morphologic features to describe neuronal morphology quantitatively, e.g. Soma Surface, Number of Branch. As natural morphology is closely related to neuronal characteristics and functions [1], [2], [3], [4], neuroscientists make great efforts to study on neurons from the perspective of neuronal morphology, and have achieved fruitful achievements [5], [6], [7], [8].Neuronal classification is the basic point in neuronal research. As all the neuronal morphology can be measured by some common standards [9], it's practical to classify neurons based on neuronal morphology. We note that some neuroscientists have already studied on the neurons by classifying the neurons morphologically.978-1-4577-1587-711l1$26.00