{"action":"created","issue":{"url":"https://api.github.com/repos/cogciprocate/bismit/issues/6","labels_url":"https://api.github.com/repos/cogciprocate/bismit/issues/6/labels{/name}","comments_url":"https://api.github.com/repos/cogciprocate/bismit/issues/6/comments","events_url":"https://api.github.com/repos/cogciprocate/bismit/issues/6/events","html_url":"https://github.com/cogciprocate/bismit/issues/6","id":87884126,"number":6,"title":"Spatial Input Preprocessing","user":{"login":"c0gent","id":2916797,"avatar_url":"https://avatars.githubusercontent.com/u/2916797?v=3","gravatar_id":"","url":"https://api.github.com/users/c0gent","html_url":"https://github.com/c0gent","followers_url":"https://api.github.com/users/c0gent/followers","following_url":"https://api.github.com/users/c0gent/following{/other_user}","gists_url":"https://api.github.com/users/c0gent/gists{/gist_id}","starred_url":"https://api.github.com/users/c0gent/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/c0gent/subscriptions","organizations_url":"https://api.github.com/users/c0gent/orgs","repos_url":"https://api.github.com/users/c0gent/repos","events_url":"https://api.github.com/users/c0gent/events{/privacy}","received_events_url":"https://api.github.com/users/c0gent/received_events","type":"User","site_admin":false},"labels":[{"url":"https://api.github.com/repos/cogciprocate/bismit/labels/essential%20feature","name":"essential feature","color":"207de5"},{"url":"https://api.github.com/repos/cogciprocate/bismit/labels/priority%20high","name":"priority high","color":"fad8c7"}],"state":"closed","locked":false,"assignee":null,"milestone":null,"comments":1,"created_at":"2015-06-12T23:49:46Z","updated_at":"2015-10-01T07:25:50Z","closed_at":"2015-10-01T07:25:50Z","body":"Need to create a filtering / preprocessing step for two dimensional spatial input. Visual data should obviously use standard retinal algorithms (on-center, off-center excitation/inhibition zones). \r\n\r\nOne dimensional scalar/vectors should continue to use existing fractal SDR generation methods. May need some slight tweaks (spirals, etc.) to bring them in line with 2D spatial data.\r\n\r\nSee written notes and formulas regarding visual, tactile, and auditory processing."},"comment":{"url":"https://api.github.com/repos/cogciprocate/bismit/issues/comments/144642541","html_url":"https://github.com/cogciprocate/bismit/issues/6#issuecomment-144642541","issue_url":"https://api.github.com/repos/cogciprocate/bismit/issues/6","id":144642541,"user":{"login":"c0gent","id":2916797,"avatar_url":"https://avatars.githubusercontent.com/u/2916797?v=3","gravatar_id":"","url":"https://api.github.com/users/c0gent","html_url":"https://github.com/c0gent","followers_url":"https://api.github.com/users/c0gent/followers","following_url":"https://api.github.com/users/c0gent/following{/other_user}","gists_url":"https://api.github.com/users/c0gent/gists{/gist_id}","starred_url":"https://api.github.com/users/c0gent/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/c0gent/subscriptions","organizations_url":"https://api.github.com/users/c0gent/orgs","repos_url":"https://api.github.com/users/c0gent/repos","events_url":"https://api.github.com/users/c0gent/events{/privacy}","received_events_url":"https://api.github.com/users/c0gent/received_events","type":"User","site_admin":false},"created_at":"2015-10-01T07:25:50Z","updated_at":"2015-10-01T07:25:50Z","body":"Filtering system in place."}}