“A computational model of the two dentate gyrus blades”
What mechanisms allow the two DG blades to support distinct coding regimes? (www.biorxiv.org/content/10.6...)
1/9
“A computational model of the two dentate gyrus blades”
What mechanisms allow the two DG blades to support distinct coding regimes? (www.biorxiv.org/content/10.6...)
1/9
www.sciencedirect.com/science/arti...
www.sciencedirect.com/science/arti...
📄 Paper: ai.meta.com/research/pub...
▶️ Demo: aidemos.atmeta.com/tribev2/
💻 Code: github.com/facebookrese...
🤗 Model: huggingface.co/facebook/tri...
www.biorxiv.org/content/10.6...
www.biorxiv.org/content/10.6...
Last year, I gave a tutorial on exactly that. Since the response was very positive, I’ve now released both the tutorial notebook and the trained models publicly.
Last year, I gave a tutorial on exactly that. Since the response was very positive, I’ve now released both the tutorial notebook and the trained models publicly.
www.biorxiv.org/content/10.6...
www.biorxiv.org/content/10.6...
Our new study reveals that theta #sweeps can be instantly biased towards behaviourally relevant locations. See 📹 in post 4/6 and preprint here 👉
www.biorxiv.org/content/10.6...
🧵(1/6)
Our new study reveals that theta #sweeps can be instantly biased towards behaviourally relevant locations. See 📹 in post 4/6 and preprint here 👉
www.biorxiv.org/content/10.6...
🧵(1/6)
We found embeddings like RoPE aid training but bottleneck long-sequence generalization. Our solution’s simple: treat them as a temporary training scaffold, not a permanent necessity.
arxiv.org/abs/2512.12167
pub.sakana.ai/DroPE
We found embeddings like RoPE aid training but bottleneck long-sequence generalization. Our solution’s simple: treat them as a temporary training scaffold, not a permanent necessity.
arxiv.org/abs/2512.12167
pub.sakana.ai/DroPE
doi.org/10.7554/eLif...
doi.org/10.7554/eLif...
arxiv.org/abs/2512.03899
arxiv.org/abs/2512.03899
www.uni-konstanz.de/zukunftskoll...
www.uni-konstanz.de/zukunftskoll...
www.biorxiv.org/content/10.1...
www.biorxiv.org/content/10.1...
www.biorxiv.org/content/10.1...
www.biorxiv.org/content/10.1...
🚨 New preprint! 🚨
Excited and proud (& a little nervous 😅) to share our latest work on the importance of #theta-timescale spiking during #locomotion in #learning. If you care about how organisms learn, buckle up. 🧵👇
📄 www.biorxiv.org/content/10.1...
💻 code + data 🔗 below 🤩
#neuroskyence
🚨 New preprint! 🚨
Excited and proud (& a little nervous 😅) to share our latest work on the importance of #theta-timescale spiking during #locomotion in #learning. If you care about how organisms learn, buckle up. 🧵👇
📄 www.biorxiv.org/content/10.1...
💻 code + data 🔗 below 🤩
#neuroskyence
@reznikdan.bsky.social
and
@sofievalk.bsky.social
for this tremendous achievement!
@sofievalk.bsky.social
&
@reznikdan.bsky.social
for receiving ERC Starting Grants 2025! We're proud of you!
Learn more about their projects: www.cbs.mpg.de/2397348/2025...
@reznikdan.bsky.social
and
@sofievalk.bsky.social
for this tremendous achievement!
Take look for yourself on @biorxivpreprint.bsky.social t.co/xFEDpqVXfE 6/6
Take look for yourself on @biorxivpreprint.bsky.social t.co/xFEDpqVXfE 6/6