2026/04 - Focus Week Recap on Causal Interactions with the World

@vclay recaps our current ideas around causal interaction with the world. Particularly, how the brain could learn causality and how to accomplish goals. She outlines the steps required in this process and two potential paths for a) moving to a target pose and b) getting an object into a target state. The team also discusses issues and open questions.

Summary Video

Main Video

0:00 ​Introduction
0:08 Focus Week Recap: Causal Interaction with the World
4:43 The 9 Step to Executing Goals
13:12 The “A Path” - Move to a Target Pose
16:38 The “B Path” - Achieving a Goal State
21:07 Further Discussions

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I love seeing the diagrams the team is using using these videos. Is there any chance you have a working diagram of columns and their connections you can share? I’ve tried piecing this together on my own but I’m sure I’m missing more than I realize.

Good question (one I also had when I joined Numenta and I’ve been working on ever since)! When putting all the connections into one diagram things get a bit messy, which is why we usually don’t do that. Maybe the closest thing we have to that is this figure in our blog post for the heterachy paper (putting all the long-range connections into one diagram to illustrate the complexity) Hierarchy or Heterarchy? A Theory of Long-Range Connections for the Sensorimotor Brain: A Plain-Language Explainer | Thousand Brains Project

That figure only includes the major long-range connections, though. Here is one from our Excalidraw template that we sometimes use to start figures with:

If you look into the literature, you will find evidence for a lot more connections, some stronger and some weaker (you will essentially find connections from every layer to every other layer). These figures we draw try to focus on the major ones that are most important to the concepts we are discussing. There isn’t a complete wiring diagram that every species and every region exactly adheres to, and depending on the experimental paradigm and measuring techniques, you will find different things (e.g. amount of physical connections vs. functional relevance).

Sorry if this isn’t the clear answer you were hoping for. To illustrate the complexity, here is a zoomed out view of my personal overview where I track connections alongside experimental evidence for them :smiley: Even this is not complete!

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Thank you so much! I love this! And I appreciate the reference, even if it’s a lot to digest :sweat_smile:

It’s amazing to see how far this project has come since the HTM days. Keep up the good work :slight_smile:

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