In a new preprint, we:
✅ "Derive" a spiking recurrent network from variational principles
✅ Show it does amazing things like out-of-distribution generalization
👉[1/n]🧵
w/ co-lead Dekel Galor & PI @jcbyts.bsky.social
🧠🤖🧠📈
Adam's talk covered a lot of ground — from his recent work on distributional RL (nature.com/articles/s41...) to a broader discussion of RL & the brain.
📽️ Watch the full meeting here: www.youtube.com/watch?v=Xe7B...
🧠🤖🧠📈
Adam's talk covered a lot of ground — from his recent work on distributional RL (nature.com/articles/s41...) to a broader discussion of RL & the brain.
📽️ Watch the full meeting here: www.youtube.com/watch?v=Xe7B...
🧠🤖🧠📈
“The thesis of this book is that the dominant ideas that have shaped #neuroscience are best understood as attempts to simplify the brain.” 🧠
…which is itself a simplification 😂
“The thesis of this book is that the dominant ideas that have shaped #neuroscience are best understood as attempts to simplify the brain.” 🧠
…which is itself a simplification 😂
See how Monty (a cortex-inspired model), crushes powerful ViTs in out-of-distribution & continual learning tasks—all while being millions of times more efficient in data & FLOPs!
📽️ Watch here: www.youtube.com/watch?v=Q0FF...
🧠🤖🧠📈
See how Monty (a cortex-inspired model), crushes powerful ViTs in out-of-distribution & continual learning tasks—all while being millions of times more efficient in data & FLOPs!
📽️ Watch here: www.youtube.com/watch?v=Q0FF...
🧠🤖🧠📈
Fritz introduced an information-theoretic, first-principles approach to modeling exploration through the maximization of "predicted information gain."
📽️ Watch the full presentation here: www.youtube.com/watch?v=rlF-...
🧠🤖🧠📈
Fritz introduced an information-theoretic, first-principles approach to modeling exploration through the maximization of "predicted information gain."
📽️ Watch the full presentation here: www.youtube.com/watch?v=rlF-...
🧠🤖🧠📈
go.bsky.app/2LmKSDN
go.bsky.app/2LmKSDN
www.youtube.com/watch?v=E0A0...
www.youtube.com/watch?v=E0A0...
- Anne Collins (Professor @ucberkeleyofficial.bsky.social)
- Niels Leadholm (Research Manager @thousandbrains.org)
Things are heating up!!
See the flyer for details👇
🌎 sensorimotorai.github.io/debates/
🧠🤖🧠📈
- Anne Collins (Professor @ucberkeleyofficial.bsky.social)
- Niels Leadholm (Research Manager @thousandbrains.org)
Things are heating up!!
See the flyer for details👇
🌎 sensorimotorai.github.io/debates/
🧠🤖🧠📈
Watch @elisennesh.bsky.social abolish the value function:
youtube.com/watch?v=E0A0...
🧠🤖🧠📈
Watch @elisennesh.bsky.social abolish the value function:
youtube.com/watch?v=E0A0...
🧠🤖🧠📈
Most of those cortical connections are recurrent, inside each area. What do they do?
New paper from me in Annual Reviews: 🧪 🧠📈 1/
www.annualreviews.org/content/jour...
Most of those cortical connections are recurrent, inside each area. What do they do?
New paper from me in Annual Reviews: 🧪 🧠📈 1/
www.annualreviews.org/content/jour...
Also, big thanks to our reviewers. Their deep reading of the paper and thoughtful feedback really helped sharpen our contributions.
Stay tuned for a much-enhanced final version in a couple weeks!
In a new preprint, we:
✅ "Derive" a spiking recurrent network from variational principles
✅ Show it does amazing things like out-of-distribution generalization
👉[1/n]🧵
w/ co-lead Dekel Galor & PI @jcbyts.bsky.social
🧠🤖🧠📈
Also, big thanks to our reviewers. Their deep reading of the paper and thoughtful feedback really helped sharpen our contributions.
Stay tuned for a much-enhanced final version in a couple weeks!
📢 To address these, the Sensorimotor AI Journal Club is launching the "RL Debate Series"👇
w/ @elisennesh.bsky.social, @noreward4u.bsky.social, @tommasosalvatori.bsky.social
🧵[1/5]
🧠🤖🧠📈
📢 To address these, the Sensorimotor AI Journal Club is launching the "RL Debate Series"👇
w/ @elisennesh.bsky.social, @noreward4u.bsky.social, @tommasosalvatori.bsky.social
🧵[1/5]
🧠🤖🧠📈
📜 (B)ayesian (O)nline learning in (N)on-stationary (E)nvironments (BONE; openreview.net/forum?id=ose...)
Many thanks to the first author Gerardo for an amazing presentation!
🎥 watch it here: www.youtube.com/watch?v=49PP...
🧠🤖🧠📈
📜 (B)ayesian (O)nline learning in (N)on-stationary (E)nvironments (BONE; openreview.net/forum?id=ose...)
Many thanks to the first author Gerardo for an amazing presentation!
🎥 watch it here: www.youtube.com/watch?v=49PP...
🧠🤖🧠📈
archive.org/details/Redw...
archive.org/details/Redw...
(...which, we might as well just call the "AI Club for Non-conformists"👇😎)
📽️ full presentation: youtube.com/watch?v=efc7...
🧵[1/4]
🧠🤖🧠📈
(...which, we might as well just call the "AI Club for Non-conformists"👇😎)
📽️ full presentation: youtube.com/watch?v=efc7...
🧵[1/4]
🧠🤖🧠📈
w/ Kaylene Stocking, Tommaso Salvatori, and @elisennesh.bsky.social
Sign up link: forms.gle/o5DXD4WMdhTg...
More details below 🧵[1/5]
🧠🤖🧠📈
w/ Kaylene Stocking, Tommaso Salvatori, and @elisennesh.bsky.social
Sign up link: forms.gle/o5DXD4WMdhTg...
More details below 🧵[1/5]
🧠🤖🧠📈
✅ Sparse Coding
✅ Predictive Coding
✅ Free Energy Principle
& more!
In my new blog post, I build the intuition behind this idea from ground up 👉[1/6]🧵
🧠🤖🧠📈
✅ Sparse Coding
✅ Predictive Coding
✅ Free Energy Principle
& more!
In my new blog post, I build the intuition behind this idea from ground up 👉[1/6]🧵
🧠🤖🧠📈
In a new preprint, we:
✅ "Derive" a spiking recurrent network from variational principles
✅ Show it does amazing things like out-of-distribution generalization
👉[1/n]🧵
w/ co-lead Dekel Galor & PI @jcbyts.bsky.social
🧠🤖🧠📈
In a new preprint, we:
✅ "Derive" a spiking recurrent network from variational principles
✅ Show it does amazing things like out-of-distribution generalization
👉[1/n]🧵
w/ co-lead Dekel Galor & PI @jcbyts.bsky.social
🧠🤖🧠📈
In my first blog post, I show how this fundamental principle can be mathematized:
✅ Brains adapt, and adaptation is about KL divergence minimization.
Let's unpack the main insights 🧵[1/n]
Link: mysterioustune.com/2025/01/13/w...
🧠🤖🧠📈 #AI
In my first blog post, I show how this fundamental principle can be mathematized:
✅ Brains adapt, and adaptation is about KL divergence minimization.
Let's unpack the main insights 🧵[1/n]
Link: mysterioustune.com/2025/01/13/w...
🧠🤖🧠📈 #AI
"Probability does not exist." —Bruno de Finetti, 1974
www.nature.com/articles/d41...
🧠🤖🧠📈
"Probability does not exist." —Bruno de Finetti, 1974
www.nature.com/articles/d41...
🧠🤖🧠📈
Visa issues can make it difficult, but they won't stop the flow of ideas!
But some authors went above and beyond.
Here is @hadivafaii.bsky.social tele-presenting his work with an impressive setup (ipad, mic, speaker, holder, battery).
Well done sir!
Visa issues can make it difficult, but they won't stop the flow of ideas!