Combined topological and spatial constraints are required to capture the structure of neural connectomes

Repository for the manuscript "Combined topological and spatial constraints are required to capture the structure of neural connectomes" The folders titled *_data (where * is fly, mouse, and human) contain the processed individual neuron information and connectome/contactome structure. Below is a brief summary of the columns of the .csv files contained in each of these folders. Summary of processed data Neuron information *_basic_neuron_info.csv id : ids of the neurons in the publicly released data sets x_cm (y_cm, z_cm) : x (y, z) position of the center of mesh, nm *_extended_neuron_info.csv id : ids of the neurons in the publicly released data sets x_soma (y_soma, z_soma) : x (y, z) position of the soma, nm x_cm (y_cm, z_cm) : x (y, z) position of the center of mesh, nm degree : undirected degree of each neuron presynaptic_degree : pre-synaptic degree (# of post-synaptic neighbors) of each neuron postsynaptic_degree : post-synaptic degree (# of post-synaptic neighbors) of each neuron weighted_presynaptic_degree : # of relevant (established with other neurons we consider) pre-synapses of each neuron weighted_postsynaptic_degree : # of relevant (established with other neurons we consider) post-synapses of each neuron pca_1_x (pca_1_y, pca_1_z) : dominant principle component x (y, z) direction based on the mesh vertices evr_1 : explained variance ratio of the dominant principle component direction linear_span_pca_1 : linear span of the neuron along the dominant principle component direction n_mesh_vertices : number of mesh vertices Note that we use the index of the row corresponding to each neuron (e.g., integers from 0 to 15731 for the human data, also in index column) as connectome and contactome node labels in the .csv files below. Connectome *_directed_connectome.csv Here, each row corresponds to a pair of neurons (i,j), s.t. an edge from i to j exists i : pre-synaptic neuron index j : post-synaptic neuron index weight : number of synapses from neuron i to neuron j *_weighted_connectome.csv Here, each row corresponds to a pair of neurons **(i,j)**, i