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From Our Neurons to Yours Podcast Transcripts

Wu Tsai Neurosciences Institute at Stanford University, Nicholas Weiler · 85 episodes with transcripts

This award-winning show from Stanford’s Wu Tsai Neurosciences Institute is a field manual for anyone who wants to understand their own brain and the new science reshaping how we learn, age, heal, and make sense of ourselves.

Spoken has transcripts of 85 From Our Neurons to Yours episodes, with the speakers named. The newest listed here is from September 25, 2026.

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85 episodes of From Our Neurons to Yours have transcripts. Fetch them all as speaker-labeled Markdown in one script — 1 credit each, and re-fetching one you already have is free:

archive.sh
curl -s -H "x-api-key: YOUR_KEY" \
  https://spoken.md/podcasts/1664298141/episodes \
  | jq -r '.episodes[] | "\(.id) \(.title)"' \
  | while IFS=' ' read -r id title; do
      slug=$(echo "$title" | tr '[:upper:]' '[:lower:]' | tr -cs 'a-z0-9' '-' | sed 's/-*$//')
      [ -f "${id}-${slug}.md" ] && continue
      curl -sf -H "x-api-key: YOUR_KEY" \
        -o "${id}-${slug}.md" \
        https://spoken.md/transcripts/$id || rm -f "${id}-${slug}.md"
      sleep 0.34
    done

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Latest From Our Neurons to Yours transcripts

How do our brains stay healthy as we age? | Tom Clandinin

September 25, 2026

Nicholas Weiler (0:10)

This is From Our Neurons to Yours, a podcast from the Wu Tsai Neurosciences Institute at Stanford University, bringing you to the frontiers of brain science.

I'm your host, Nicholas Weiler.

Tom Clandinin (3:01)

Maybe a view or a way to look at it, just to think of it as an ecosystem, right? And you don't view a species in isolation, you view it as part of a larger structure that if you manipulate one species, or one species begins to suffer in some part of the ecosystem, it's going to have rippling effects across the…

And you really need a computational framework to put that together, because I think as reductionists, we're ill-equipped to think about these very high-dimensional spaces, these large interactions. And that's where, you know, Xiaojie's perspective really makes it possible to use these models to make predictions and…

Nicholas Weiler (5:00)

Well, frame the big idea for us, without necessarily getting into the hows of exactly what you're going to do, what is the big idea question that this project intends to tackle?

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