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AdamMarblestone's profile
Adam Marblestone
Adam Marblestone
Adam Marblestone
@AdamMarblestone

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Adam Marblestone

@AdamMarblestone

Technologist, Scientist

adammarblestone.org
Joined February 2009

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    1. Blake Richards‏ @tyrell_turing 8 Apr 2017
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      Replying to @tyrell_turing @MannyDePresso and

      see @AdamMarblestone and @KordingLab review: http://journal.frontiersin.org/article/10.3389/fncom.2016.00094/full …

      1 reply 0 retweets 5 likes
    2. Amy Christensen‏ @achristensen56 8 Apr 2017
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      Replying to @tyrell_turing @MannyDePresso and

      this might be a bit semantic about what we get to call backprop...

      1 reply 0 retweets 1 like
    3. Jonathan A. Michaels‏ @JonAMichaels 8 Apr 2017
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      Replying to @achristensen56 @tyrell_turing and

      If back prop is just about using past rates with time dependency then a decaying elegibility trace is also back prop..

      2 replies 0 retweets 1 like
    4. Amy Christensen‏ @achristensen56 8 Apr 2017
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      Replying to @JonAMichaels @tyrell_turing and

      IMO we get to call something 'approx backprop', if it approximates the updates that would happen if using actual backprop.

      1 reply 0 retweets 2 likes
    5. Jonathan A. Michaels‏ @JonAMichaels 8 Apr 2017
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      Replying to @achristensen56 @tyrell_turing and

      That's probably the most sane way of looking at it. We can test that.

      1 reply 0 retweets 1 like
    6. Amy Christensen‏ @achristensen56 8 Apr 2017
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      Replying to @JonAMichaels @tyrell_turing and

      as for where to look, and what to look for, e.g. motor prosthetics might be a great place to start, you supply the target fxn.

      1 reply 0 retweets 3 likes
    7. Jonathan A. Michaels‏ @JonAMichaels 8 Apr 2017
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      Replying to @achristensen56 @tyrell_turing and

      I have such an experiment running so we'll see... neurons are fed into an RNN. I can test if the FR changes match ideal weight updates.

      2 replies 0 retweets 7 likes
    8. KordingLab  👨‍💻 🧠∇ 🔬 📈, 🏋️‍♂️ ⛷️ 🏂 🛹 🕺 ⛰️ ☕ 🦖‏ @KordingLab 8 Apr 2017
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      Replying to @JonAMichaels @achristensen56 and

      Yes sounds awesome

      1 reply 0 retweets 4 likes
    9. Adam Marblestone‏ @AdamMarblestone 8 Apr 2017
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      Replying to @KordingLab @JonAMichaels and

      See also: http://www.nature.com/nature/journal/v512/n7515/abs/nature13665.html …

      1 reply 0 retweets 1 like
    10. Adam Marblestone‏ @AdamMarblestone 8 Apr 2017
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      Replying to @AdamMarblestone @KordingLab and

      But... be mindful that only a *sub-population* of neurons may be subject to backprop-style updates...

      2 replies 0 retweets 2 likes
      Adam Marblestone‏ @AdamMarblestone 8 Apr 2017
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      Replying to @AdamMarblestone @KordingLab and

      ...and the "weights" in question may be at a higher level than neuron-neuron connections, e.g., could be between assemblies/attractors...

      12:03 PM - 8 Apr 2017
      • 3 Likes
      • Amy Christensen Piotr Sokol Jonathan A. Michaels
      2 replies 0 retweets 3 likes
        1. New conversation
        2. Adam Marblestone‏ @AdamMarblestone 8 Apr 2017
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          Replying to @AdamMarblestone @KordingLab and

          Much depends on relating back to the anatomy, and on ideally seeing the errors themselves, e.g., http://biorxiv.org/content/early/2016/12/08/092551 …

          1 reply 0 retweets 2 likes
        3. Adam Marblestone‏ @AdamMarblestone 8 Apr 2017
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          Replying to @AdamMarblestone @KordingLab and

          I like that https://arxiv.org/abs/1610.00161  and Walter Senn's work try to relate this back to specific anatomy and neuron types...

          0 replies 0 retweets 5 likes
        4. End of conversation
        1. Jonathan A. Michaels‏ @JonAMichaels 8 Apr 2017
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          Replying to @AdamMarblestone @KordingLab and

          I agree. I'm much more interested in how the highD space adapts. Easier to find a robust and repeatable effect this way as well.

          0 replies 0 retweets 1 like
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