{"action":"opened","issue":{"url":"https://api.github.com/repos/Statistical-Connectomics-Sp15/intro/issues/117","labels_url":"https://api.github.com/repos/Statistical-Connectomics-Sp15/intro/issues/117/labels{/name}","comments_url":"https://api.github.com/repos/Statistical-Connectomics-Sp15/intro/issues/117/comments","events_url":"https://api.github.com/repos/Statistical-Connectomics-Sp15/intro/issues/117/events","html_url":"https://github.com/Statistical-Connectomics-Sp15/intro/issues/117","id":58520825,"number":117,"title":"Bock paper - line graphs","user":{"login":"mblohr","id":10821851,"avatar_url":"https://avatars.githubusercontent.com/u/10821851?v=3","gravatar_id":"","url":"https://api.github.com/users/mblohr","html_url":"https://github.com/mblohr","followers_url":"https://api.github.com/users/mblohr/followers","following_url":"https://api.github.com/users/mblohr/following{/other_user}","gists_url":"https://api.github.com/users/mblohr/gists{/gist_id}","starred_url":"https://api.github.com/users/mblohr/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/mblohr/subscriptions","organizations_url":"https://api.github.com/users/mblohr/orgs","repos_url":"https://api.github.com/users/mblohr/repos","events_url":"https://api.github.com/users/mblohr/events{/privacy}","received_events_url":"https://api.github.com/users/mblohr/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":0,"created_at":"2015-02-22T21:39:40Z","updated_at":"2015-02-22T21:39:40Z","closed_at":null,"body":"We discussed in class an SBM model approach for the vertices (orientation-based excitatory and inhibitory neurons) in the Bock paper.  Would it be feasible to model this using edge-based graphs, e.g., using the synapses or edges from the excitatory neurons as the vertices in the SBM, blocking them based on the neuron type (inhibitory versus excitatory) on which they converge, and entering a \"1\" in the matrix if they converge onto an inhibitory neuron and a \"0\" otherwise?  Actually, the 2nd step (blocking based on converging neuron type) might not even be necessary.  "}}