jordan

jordan

@jordan.matelsky.com

making computers better using brains and making brains better using computers. computational neuro and dumb little web apps sticking a steam wand directly into my brain and frothing it like a cappuccino at @kordinglab. senior research scientist at JHU/APL

506 followers907 following415 posts

When I was writing my dissertation, I took snapshot copies of my powerpoint file just in case. • You can see right around April 12 my valley of despair as I deleted everything and started over again... and then • CRUNCH MODE on the 18 as I realized I was <1wk away...

for #FossilFriday, two of the most charismatic displays at the Museum Of The Moment, the Academy of Natural Sciences here in Philly

When the Academy of Natural Sciences opened, paleontology had just been founded and the first steam locomotive launched. All other custodians of this museum preserved its incredible cultural and scientific heritage for 200 years. This is an embarrassment to the Drexel administration forever.

Sarah McAnulty, Ph.D.@sarahmackattack.bsky.social

I feel like I’m going to throw up

jordan reposted

Can neural networks think like geomorphologists? @gregtucker.bsky.social and I trained a neural network to invert the streampower-diffusion model, and then opened the black box. It learned how valley spacing and drainage density connect to process. Out now in GRL: doi.org/10.1029/2026...

doi.orgCan Neural Networks Think Like Geomorphologists?A simple neural network can infer parameters from synthetic topography generated by a process-based numerical model of landscape evolution The network can be queried to identify a sensible relati...

jordan reposted

UAI 2026 paper: A genetic perturbation can change the connectome, a new policy can rewire economic links between firms. In each case, interventions change the graph itself which standard SCMs treat as fixed. We tackle this in Partially Observed Structural Causal Models (POSCMs).

jordan reposted

well that's awfully young for a prime minister

Jonn Elledge@jonnelledge.bsky.social

King Charles III is about to welcome the fourth Prime Minister of his reign, which is not yet four years old.

well that's awfully young for a prime minister

Jonn Elledge@jonnelledge.bsky.social

King Charles III is about to welcome the fourth Prime Minister of his reign, which is not yet four years old.

Just donated to #fdroid because the #FOSS ecosystem is a beautiful thing! Learned a lot when I published Coppelia [https://blog.jordan.matelsky.com/coppelia/], my Jellyfin music client, and the review team and community was extraordinary!! #foss #jellyfin #android

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More generally, if you knew every cell a neuron touches, would you know something new beyond its synaptic #contactome? How many other cells does a neuron touch, anyway? Here was our first exploration: a single pyramidal cell (cyan), followed by all its synaptic partners, and then all its contacts:

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The full answer must wait; a single time snapshot can only tell us so much. But (unpublished) sneak-peek: when a neuron cuddles with glia, it has 1.3x synapses than one without a cuddly glia. When neurons cuddle, their synapses are more central to the rest of the connectome than uncuddly peers.

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Finally, I want to return to those cuddle buddies that inspired me ages ago. Here's what it looks like to sneak "inside" a soma of a TRIPLE(!!) cuddle buddy. When you look "up" at the surface of the cell, it's dominated by contact with other neurons. Clearly important! But why?

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And it's just... always true. EVERY synapse is like this. Glia are EVERYWHERE. Here's the same synapse in two views; the glia (green) surrounds the synapse, and could foreseeably tune/train/kill it. HOT TAKE: I think big chunks of learning & memory will turn out to be mainly driven by this :)

Here's a beautiful shot of a single dendritic spine (black). It has ~3 synaptic partners (blue). But it has nearly TWENTY contact partners (red), which could be electrically or chemically influencing it! (thank you @blender.org for making it so easy to create videos like this ❤️)

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For our next trick: Does that glial network touch synapses specifically? Another resounding YES: PRACTICALLY EVERY SYNAPSE has a glial cell within 1µm, and near the synaptic site, almost ALL of the surrounding tissue is glial. Glam-shot: a synapse's microenvironent is dominated by an astrocyte :)

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So let's see if we can find any evidence of an astrocytic long-range network (a "syncytium," which is totally award-winning spelling for a word)... Let's look at our contactomes and get the network of astrocytes-contacting-astrocytes. Can we see that long-range network?

The answer is... holy crap YES. Here, I've shaded in red the astrocytes that participate in this network. Yep. It's literally EVERYWHERE. If we look at the nuclei of these astrocytes, they're perfectly uniformly distributed in the mouse visual cortex too!

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I mean... that's crazy. That means that synaptogenesis needs to move MANY microns away to even see a new potential partner. That has some pretty big implications for biological learning algorithms, which, like, I hear that's a big deal bsky.app/profile/sean... #neuroai

Sean Escola@seanescola.bsky.social

What if we could redesign AI to mirror biology’s efficiency? Reardon & the Flourish team are exploring exactly that. By mapping neural connections in the human brain, they aim to develop biology-inspired AI that is radically more energy-efficient. Read here: www.wired.com/story/jeff-b...

When we look at contactomes instead of connectomes, we also get an obvious bonus: GLIA!! Glia aren't commonly involved in synapses, but they are EVERYWHERE. Lots of chatter recently about astrocytes: www.thetransmitter.org/astrocytes/t... @thetransmitter.bsky.social #astrocytes #glia

thetransmitter.orgHow a hidden network of astrocytes shapes the brainAstrocytes are wired together in precise, long-range networks that remodel in response to experience, according to new research.
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ok cool so let's take each neuron (blue), and draw increasing radii around it: 0.5µm (green), 1µm (yellow), 2µm... all the way up to 10µm. That's actually quite a lot of distance! ~1000x more volume than the neuron itself. So how many new partners are there in that HUGE halo we don't already touch?

The answer, INCREDIBLY, is... basically ZERO! *A neuron already touches virtually every neuron that comes within ~10µm of its cell membrane.* omg!

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It also turns out that different cell types have different "fingerprints" of their volume to surface-area relationships. Unsurprisingly, you can immediately tell who's a neuron and who's glia (green = glia, blue = neuron), and in fact different cell types even have their own "sub-fingerprint"!

SECOND: One of the weaknesses of connectomics today is we only get a single snapshot in time. If we instead watched the neurons form and kill synapses, how many new partners might be available? One way to learn this is to look at a "halo" around each cell: how many un-contacted neurons are nearby?

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(That also presents the engineering challenge and the reason these analyses aren't commonplace: the resulting network is 100s of GB, before you even _think_ about the ~petabytes of underlying data to generate that.)

TLDR: We know neurons communicate at synapses. But they also talk in a bunch of other ways! diffusion, glial interactions, ephaptic coupling, neuropeptides (cc @lidia-ripolls.bsky.social!) The list is long. probably longer than we know :) So let's make a map of all physical contact between neurons!

jordan reposted

Replying to @civicgrit.bsky.social

Here is an aerial before / after I-76 of Lansdowne Dr. The highway ramps forced the removal of all the park trails, which served as crucial connectors for park visitors. In many ways the reasonable thing to do would be to turn Lansdowne over to people walking / biking to restore park connectivity.