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evantthompson's profile
Evan Thompson
Evan Thompson
Evan Thompson
@evantthompson

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Evan Thompson

@evantthompson

Writer, UBC Philosophy, Assoc Member Asian Studies & Psych Depts. Married to @beckettodd

Vancouver
evanthompson.me
Joined January 2015

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    1. Evan Thompson‏ @evantthompson 1 May 2019
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      Replying to @twitemp1 @PsychScientists and

      I'm not arguing against distinct explanatory levels. I'm saying computation is a heuristic without a specification of how its implemented.

      1 reply 0 retweets 4 likes
    2. Esther Mondragón‏ @twitemp1 1 May 2019
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      Replying to @evantthompson @PsychScientists and

      Would you consider that a model such as Rescorla-Wagner requires specifying neural implementation?

      1 reply 0 retweets 3 likes
    3. Evan Thompson‏ @evantthompson 1 May 2019
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      Replying to @twitemp1 @PsychScientists and

      That depends on what question we're asking, but my understanding is that there are data relating neural firing patterns to the R-W model, in which case the model has an explanatory grip.

      1 reply 0 retweets 4 likes
    4. Esther Mondragón‏ @twitemp1 1 May 2019
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      Replying to @evantthompson @PsychScientists and

      There is neural data relating to TD (a real-time instantiation of RW), but the explanatory scope of the model is, IMO, independent of it. It rests in its predictive power. >

      1 reply 0 retweets 2 likes
    5. Esther Mondragón‏ @twitemp1 1 May 2019
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      Replying to @twitemp1 @evantthompson and

      Finding a correlation between a model and brain activity further strengthens it but it does not alter its value as a behavioural model.

      2 replies 0 retweets 2 likes
    6. Jelle  ⬅️1.5m ➡️ 🤳‏ @theblub 1 May 2019
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      Replying to @twitemp1 @evantthompson and

      But then the question becomes what sort of thing do you want to predict? I could make a experiment proving that mice embody a rule that says “if hungry cat, then run”. Model makes accurate predictions. But would be silly. So what is the grainsize / how deep to go?

      1 reply 0 retweets 0 likes
    7. Evan Thompson‏ @evantthompson 1 May 2019
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      Replying to @theblub @twitemp1 and

      Here's an example to voice my concern: "Bayesian brain" suggests the brain is really a Bayseian machine. That's a stronger claim from saying it can be usefully modeled using Bayesian tools. I've no issue with the latter; the former needs a lot more support.

      1 reply 0 retweets 6 likes
    8. Esther Mondragón‏ @twitemp1 1 May 2019
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      Replying to @evantthompson @theblub and

      I do agree! I am not saying that a cognitive/behavioural model equals to any of their possible physical instantiations. Not in the least! In fact I am claiming that its value is independent of it.

      1 reply 0 retweets 5 likes
    9. 𖤐 🔥Bryce 🔥𖤐‏ @NeuroYogacara 1 May 2019
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      Replying to @twitemp1 @evantthompson and

      Yes. This. And what’s super interesting is that the difficulties faced by linking dopamine transients to TD don’t undercut the value of the updating model. Perhaps *both* because R-W is insufficient, and it’s not implemented by tonic+physic spiking in the basal ganglia!

      1 reply 0 retweets 1 like
    10. 𖤐 🔥Bryce 🔥𖤐‏ @NeuroYogacara 1 May 2019
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      Replying to @NeuroYogacara @twitemp1 and

      To push back one step further against the point @evantthompson started with: how would you feel about a many realizer to one computation to many behavioral profiles story. I think that’s pretty much what I think is plausible...

      3 replies 0 retweets 3 likes
      Evan Thompson‏ @evantthompson 1 May 2019
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      Replying to @NeuroYogacara @twitemp1 and

      So, here I want to know what "computation" means, and whether it's a predictive/generative description of behavior from the outside or a specification of operations the inside (cf the operational-relational distinction enactivists like to make)

      11:50 AM - 1 May 2019
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      • svateboje Esther Mondragón Jelle ⬅️1.5m➡️🤳
      3 replies 1 retweet 3 likes
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        2. Esther Mondragón‏ @twitemp1 1 May 2019
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          Replying to @evantthompson @theblub and

          Would deciding between these two (or assuming both as possibilities) make a critical difference on how a computational model should be algorithmically characterised and mapped (one to one, many to one, etc.) to other structure levels?

          1 reply 0 retweets 2 likes
        3. Evan Thompson‏ @evantthompson 1 May 2019
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          Replying to @twitemp1 @theblub and

          I think so. If operational, then this constrains the algorithm and mapping; if just behavioral characterization from outside perspective of modeler/observer, then these constraints may be weaker. (If I understand properly your question.)

          1 reply 0 retweets 2 likes
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        2. svateboje‏ @svateboje 3 May 2019
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          Replying to @evantthompson @twitemp1 and

          so many tensions among & within prediction, explanation, reduction, intervention, simulation, model/representation. internal/external cuts thru through some of that (leaving inner innards of course). often seems that "seeing" the "mechanism" distinguishes "explanation". but ...

          1 reply 0 retweets 1 like
        3. svateboje‏ @svateboje 3 May 2019
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          Replying to @svateboje @evantthompson and

          a describer of behavioral relations to externals can always say that what the behavior does is more personally relevant than the internal ingredients of how. trivial example: a look up table is not the same as a series expansion... unless all one cares about is the result?

          1 reply 0 retweets 1 like
        4. 2 more replies
        1. 𖤐 🔥Bryce 🔥𖤐‏ @NeuroYogacara 1 May 2019
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          Replying to @evantthompson @twitemp1 and

          I’m not sure. This is coming together on the fly. It’s in the vicinity of neuroconstructive stuff, and some of Mike Anderson’s stuff, but I have to think more about how I’m thinking about things... I feel like my thoughts on these issues are currently unstable.

          0 replies 0 retweets 1 like
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