{"action":"created","issue":{"url":"https://api.github.com/repos/translationalneuromodeling/tapas/issues/15","repository_url":"https://api.github.com/repos/translationalneuromodeling/tapas","labels_url":"https://api.github.com/repos/translationalneuromodeling/tapas/issues/15/labels{/name}","comments_url":"https://api.github.com/repos/translationalneuromodeling/tapas/issues/15/comments","events_url":"https://api.github.com/repos/translationalneuromodeling/tapas/issues/15/events","html_url":"https://github.com/translationalneuromodeling/tapas/issues/15","id":310341708,"number":15,"title":"Question: HGF Demo binary input semantics","user":{"login":"psharp1289","id":7706925,"avatar_url":"https://avatars2.githubusercontent.com/u/7706925?v=4","gravatar_id":"","url":"https://api.github.com/users/psharp1289","html_url":"https://github.com/psharp1289","followers_url":"https://api.github.com/users/psharp1289/followers","following_url":"https://api.github.com/users/psharp1289/following{/other_user}","gists_url":"https://api.github.com/users/psharp1289/gists{/gist_id}","starred_url":"https://api.github.com/users/psharp1289/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/psharp1289/subscriptions","organizations_url":"https://api.github.com/users/psharp1289/orgs","repos_url":"https://api.github.com/users/psharp1289/repos","events_url":"https://api.github.com/users/psharp1289/events{/privacy}","received_events_url":"https://api.github.com/users/psharp1289/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-04-01T17:57:48Z","updated_at":"2018-04-03T08:45:20Z","closed_at":null,"author_association":"NONE","body":"Hi all,\r\n\r\nI'm a novice in computational approaches to cognition and am going through the HGF toolbox demo. I had a bit of confusion in regards to what the binary input mapped onto in the Iglesias et al piece. My guess is that they don't have any intrinsic relation to the stimuli, but rather a \"1\" is either a face or house depending on which cue (high/low tone) is presented on that trial of the task. This is the only way for me to make sense of the transition of contingency rates noted in Dr. Mathys' video tutorial on the HGF demo (unless I'm assuming something incorrectly about the frequency of outcomes -- e.g., if \"1s\" are faces, is seems the first 50 or so trials seems are overwhelmingly faces). \r\n\r\nThanks in advance for your time & assistance,\r\nPaul"},"comment":{"url":"https://api.github.com/repos/translationalneuromodeling/tapas/issues/comments/378175202","html_url":"https://github.com/translationalneuromodeling/tapas/issues/15#issuecomment-378175202","issue_url":"https://api.github.com/repos/translationalneuromodeling/tapas/issues/15","id":378175202,"user":{"login":"chmathys","id":19826429,"avatar_url":"https://avatars2.githubusercontent.com/u/19826429?v=4","gravatar_id":"","url":"https://api.github.com/users/chmathys","html_url":"https://github.com/chmathys","followers_url":"https://api.github.com/users/chmathys/followers","following_url":"https://api.github.com/users/chmathys/following{/other_user}","gists_url":"https://api.github.com/users/chmathys/gists{/gist_id}","starred_url":"https://api.github.com/users/chmathys/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/chmathys/subscriptions","organizations_url":"https://api.github.com/users/chmathys/orgs","repos_url":"https://api.github.com/users/chmathys/repos","events_url":"https://api.github.com/users/chmathys/events{/privacy}","received_events_url":"https://api.github.com/users/chmathys/received_events","type":"User","site_admin":false},"created_at":"2018-04-03T08:45:19Z","updated_at":"2018-04-03T08:45:19Z","author_association":"CONTRIBUTOR","body":"Hi Paul,\n\nYou’re right, the outcomes are coded in what you might call ‘contingency\nspace’: a high tone followed by a face as well as a low tone  followed by a\nhouse are 1, while a high tone followed by a house as well as a low tone\nfollowed by a face are 0.\n\nChristoph\n\nOn 1 April 2018 at 7:57:50 pm, psharp1289 (notifications@github.com) wrote:\n\nHi all,\n\nI'm a novice in computational approaches to cognition and am going through\nthe HGF toolbox demo. I had a bit of confusion in regards to what the\nbinary input mapped onto in the Iglesias et al piece. My guess is that they\ndon't have any intrinsic relation to the stimuli, but rather a \"1\" is\neither a face or house depending on which cue (high/low tone) is presented\non that trial of the task. This is the only way for me to make sense of the\ntransition of contingency rates noted in Dr. Mathys' video tutorial on the\nHGF demo (unless I'm assuming something incorrectly about the frequency of\noutcomes -- e.g., if \"1s\" are faces, is seems the first 50 or so trials\nseems are overwhelmingly faces).\n\nThanks in advance for your time & assistance,\nPaul\n\n—\nYou are receiving this because you are subscribed to this thread.\nReply to this email directly, view it on GitHub\n<https://github.com/translationalneuromodeling/tapas/issues/15>, or mute\nthe thread\n<https://github.com/notifications/unsubscribe-auth/AS6G_Rx_1nXVnw2_kfv19sgIJbjOy4uGks5tkRUdgaJpZM4TC6ev>\n.\n"}}
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