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o_guest's profile
Olivia Guest | Ολίβια Γκεστ
Olivia Guest | Ολίβια Γκεστ
Olivia Guest | Ολίβια Γκεστ
@o_guest

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Olivia Guest | Ολίβια Γκεστ

@o_guest

• goth gremlin • computational cognitive/neuroscience modeling • geek & techish Cypriot • plant aficionada • came up with #bropenscience • http://neuroplausible.com  •

Τότεναμ, Λονδίνο & Cyprus
olivia.science
Joined October 2015

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    1. Gunnar Blohm‏ @GunnarBlohm 25 Oct 2018
      • Report Tweet
      Replying to @IrisVanRooij @venpopov @djnavarro

      The modeling activity itself!

      1 reply 0 retweets 2 likes
    2. Iris van Rooij‏ @IrisVanRooij 25 Oct 2018
      • Report Tweet
      Replying to @GunnarBlohm @venpopov @djnavarro

      Good question, don’t know. Tagging @bradpwyble and @o_guest as I recall them talking on this topic.

      1 reply 0 retweets 2 likes
    3. Brad Wyble‏ @bradpwyble 25 Oct 2018
      • Report Tweet
      Replying to @IrisVanRooij @GunnarBlohm and

      Isn't writing a paper that includes code and predictions essentially a prereg of your model? They key is that you haven't tested the predictions yet. We have a few papers w this model.

      1 reply 2 retweets 2 likes
    4. Gunnar Blohm‏ @GunnarBlohm 25 Oct 2018
      • Report Tweet
      Replying to @bradpwyble @IrisVanRooij and

      If you build a model that attempts to describe data, then the model can be seen as an implementation of a hypothesized mechanism. Then the question is whether this mechanism can describe data. Pre-registration would prevent iterative model adjustments = HARking

      2 replies 1 retweet 3 likes
    5. Blake Richards‏ @tyrell_turing 25 Oct 2018
      • Report Tweet
      Replying to @GunnarBlohm @bradpwyble and

      Okay, this makes a little more sense to me now. But, it only applies to models where the goal is replicating some neural phenomenon. It doesn’t apply to models that are designed to provide proof of concept or theoretical insight.

      2 replies 0 retweets 1 like
    6. Gunnar Blohm‏ @GunnarBlohm 25 Oct 2018
      • Report Tweet
      Replying to @tyrell_turing @bradpwyble and

      Why not? If you present a single model as a proof of concept, what can we really learn? Unless you show that no other reasonable model performs better...

      2 replies 0 retweets 1 like
    7. Brad Wyble‏ @bradpwyble 25 Oct 2018
      • Report Tweet
      Replying to @GunnarBlohm @tyrell_turing and

      A single model teaches us a great deal. It's an instance-proof that it is possible for an algorithm to do X. It also provides an intuition pump that helps one to think clearly.

      1 reply 1 retweet 11 likes
    8. Blake Richards‏ @tyrell_turing 25 Oct 2018
      • Report Tweet
      Replying to @bradpwyble @GunnarBlohm and

      Exactly this.

      2 replies 0 retweets 1 like
    9. David Nicholson‏ @nicholdav 25 Oct 2018
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      Replying to @tyrell_turing @bradpwyble and

      Just want to say I like the (now somewhat tangential) points that @GunnarBlohm and @neurograce made about keeping track of how the model developed. Otherwise a paper can read like: "Here's our model! Derivation of steps 2-12 left as an exercise to the reader"

      1 reply 1 retweet 4 likes
    10. David Nicholson‏ @nicholdav 25 Oct 2018
      • Report Tweet
      Replying to @nicholdav @tyrell_turing and

      Would be really nice if there was some tooling for this. I know there was a GSoC project (h/t @RobertClewley) to develop "literate modeling" (by analogy with "literate computing") where metadata would specify what each "experiment" was for. Mini-prereg?http://robclewley.github.io/2016/03/01/google-summer-of-code-2016-project-internships-in-literate-modeling-and-diagnostics …

      1 reply 1 retweet 4 likes
      Olivia Guest | Ολίβια Γκεστ‏ @o_guest 26 Oct 2018
      • Report Tweet
      Replying to @nicholdav @tyrell_turing and

      You mean like a spec?

      12:19 AM - 26 Oct 2018
      • 2 Likes
      • Dominic Mussack Iris van Rooij
      1 reply 0 retweets 2 likes
        1. New conversation
        2. Iris van Rooij‏ @IrisVanRooij 26 Oct 2018
          • Report Tweet
          Replying to @o_guest @nicholdav and

          I also feel that this aspect of the discussion is worth diving into more. Perhaps in a new thread?

          1 reply 0 retweets 4 likes
        3. Olivia Guest | Ολίβια Γκεστ‏ @o_guest 26 Oct 2018
          • Report Tweet
          Replying to @IrisVanRooij @nicholdav and

          Sure. I'm getting deja vu so maybe we can link to old threads if people are interested?

          1 reply 0 retweets 2 likes
        4. Iris van Rooij‏ @IrisVanRooij 26 Oct 2018
          • Report Tweet
          Replying to @o_guest @nicholdav and

          Comment in class today relevant for this thread. Students’ assignment is to formalize a verbal theory in a cogsci paper. Student: “When I read the paper I thought it’s quite computationally explicit, but now I try to formalise I discover holes in the theory’s specification.”

          1 reply 4 retweets 8 likes
        5. Olivia Guest | Ολίβια Γκεστ‏ @o_guest 26 Oct 2018
          • Report Tweet
          Replying to @IrisVanRooij @nicholdav and

          This is why most (all?) modellers start by replicating models. 💯

          1 reply 0 retweets 3 likes
        6. Brad Wyble‏ @bradpwyble 26 Oct 2018
          • Report Tweet
          Replying to @o_guest @IrisVanRooij and

          I'll be honest, I don't do that. I just don't have the time. That could be months of my life per paper.

          1 reply 0 retweets 2 likes
        7. Olivia Guest | Ολίβια Γκεστ‏ @o_guest 26 Oct 2018
          • Report Tweet
          Replying to @bradpwyble @IrisVanRooij and

          Start their careers... and their training. I haven't replicated a model since 2015.

          1 reply 0 retweets 3 likes
        8. Brad Wyble‏ @bradpwyble 26 Oct 2018
          • Report Tweet
          Replying to @o_guest @IrisVanRooij and

          Ah, I thought you meant a new project. I didn't replicate models then either though it would have been a good idea.

          0 replies 0 retweets 2 likes
        9. End of conversation

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