DSM: Deep Sequential Model for Complete Neuronal Morphology Representation and Feature Extraction

This is an open-source repository for hosting codes and data files from research, "DSM: Deep Sequential Model for Complete Neuronal Morphology Representation and Feature Extraction".

raw_dataset.zip: 1,282 neuron reconstructions from SEU-Allen datasets; 

Supplementary.zip: Supplementary information, including tables and figures;

DSM-tools.zip: 

A python package for converting neuron morphology into sequences and implementing DSM models.

NeuronSequenceDataset class: to transform SWC files to sequence dataframes by binary tree traversals, and prepare for the input of DSM networks.

DSMDataConverter class: a helper to convert the sequence dataframes for classification and clustering.

DSMHierarchicalAttentionNetwork class: classification model, giving a pre-trained DSM-HAN model by default.

DSMAutoencoder class: clustering model, giving a pre-trained DSM-AE model by default.

neuron2seq_for_developer.zip: A repository for further development of the models, including source codes and all data files.