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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. KordingLab  👨‍💻 🧠∇ 🔬 📈, 🏋️‍♂️ ⛷️ 🏂 🛹 🕺 ⛰️ ☕ 🦖‏ @KordingLab 12 Oct 2019
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      KordingLab  👨‍💻 🧠∇ 🔬 📈, 🏋️‍♂️ ⛷️ 🏂 🛹 🕺 ⛰️ ☕ 🦖 Retweeted Blake Richards

      This work is super important: the weight transport problem starts looking easy. Maybe backprop is not hard to evolve after all. Great work by @guerguiev and @tyrell_turinghttps://twitter.com/tyrell_turing/status/1183149425360822272 …

      KordingLab  👨‍💻 🧠∇ 🔬 📈, 🏋️‍♂️ ⛷️ 🏂 🛹 🕺 ⛰️ ☕ 🦖 added,

      Blake Richards @tyrell_turing
      1/ New tweeprint from my lab! This one is work done by the amazing @guerguiev, and was inspired by the work of @benlansdell and @KordingLab (who was also a collaborator in this project). https://arxiv.org/abs/1910.01689 
      Show this thread
      1 reply 14 retweets 59 likes
    2. Aaron Milstein‏ @neurosutras 12 Oct 2019
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      Replying to @KordingLab @guerguiev @tyrell_turing

      I have a question. Could you try to frame this for me reaaaaal specific? Just trying to understand how you think about it. Say your a layer 5 pyramidal cell in motor cortex. You integrate your L2/3 (feedforward-ish) and L1 (feedbackish) input, and spike, transmitting signals /1

      1 reply 0 retweets 4 likes
    3. Aaron Milstein‏ @neurosutras 12 Oct 2019
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      Replying to @neurosutras @KordingLab and

      downstream. A behavioral consequence, after a delay, is either positive or negative (and likely graded). What synapses from where carry the error signal? And those same exact sources receive inputs from our cell with identical weights? You provide a method for how. But /2

      1 reply 0 retweets 3 likes
    4. Aaron Milstein‏ @neurosutras 12 Oct 2019
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      Replying to @neurosutras @KordingLab and

      is there evidence of this configuration in any biological neural circuit? /3

      3 replies 0 retweets 4 likes
    5. Blake Richards‏ @tyrell_turing 13 Oct 2019
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      Replying to @neurosutras @KordingLab @guerguiev

      These are great Qs! We haven't tried to answer them in this paper, and I suspect reality is messy. But, I think there are a few different possibilities data point to, including 1) assoc thalamic signals send the error signals, 2) error L2/3 compute error signals, send to L5.

      2 replies 0 retweets 2 likes
    6. Aaron Milstein‏ @neurosutras 13 Oct 2019
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      Replying to @tyrell_turing @KordingLab @guerguiev

      I celebrate these demonstrations that gradient descent can avoid weight transport by using local rules. However, I am skeptical of the requirement for fine reciprocal connectivity, let alone symmetric weights at those connections. In your example, most L5 cells are not /1

      1 reply 0 retweets 1 like
    7. Aaron Milstein‏ @neurosutras 13 Oct 2019
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      Replying to @neurosutras @tyrell_turing and

      reciprocally connected to their sources in thalamus or L2/3. Error may come back many synapses removed, so we should figure out how it can work without this nonphysiological stipulation. /2

      2 replies 0 retweets 0 likes
    8. Adam Marblestone‏ @AdamMarblestone 13 Oct 2019
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      Replying to @neurosutras @tyrell_turing and

      https://www.biorxiv.org/content/10.1101/773085v2 …

      1 reply 0 retweets 3 likes
    9. Aaron Milstein‏ @neurosutras 13 Oct 2019
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      Replying to @AdamMarblestone @tyrell_turing and

      I need to read that more closely. I think it's conclusions are about coarse projections, not fine reciprocal connectivity.

      1 reply 0 retweets 0 likes
    10. Adam Marblestone‏ @AdamMarblestone 13 Oct 2019
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      Replying to @neurosutras @tyrell_turing and

      From a quick skim I was seeing it as fine reciprocal...

      1 reply 0 retweets 1 like
      Adam Marblestone‏ @AdamMarblestone 13 Oct 2019
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      Replying to @AdamMarblestone @neurosutras and

      (OK not exactly cell by cell reciprocal, but single cells tending to synapse on those that are area-wise reciprocal.)

      1:34 PM - 13 Oct 2019
      • 3 Likes
      • Aaron Milstein KordingLab 👨‍💻🧠∇🔬📈,🏋️‍♂️⛷️🏂🛹🕺⛰️☕🦖 Blake Richards
      1 reply 0 retweets 3 likes
        1. KordingLab  👨‍💻 🧠∇ 🔬 📈, 🏋️‍♂️ ⛷️ 🏂 🛹 🕺 ⛰️ ☕ 🦖‏ @KordingLab 13 Oct 2019
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          Replying to @AdamMarblestone @neurosutras and

          which may suggest that we need meta-learning, that cells need to learn how to interpret top-down signals. Which is exactly what the papers by @benlansdell , @guerguiev and @tyrell_turing are about.

          0 replies 0 retweets 2 likes
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