Previously @mackelab.bsky.social - machine learning in (neuro)science.
Latent Diffusion for Neural Spiking data (LDNS), a latent variable model (LVM) which addresses 3 goals simultaneously:
Watch out world: this is the next generation of leaders!
compneurosci.com/Neuro4Pros/i...
Watch out world: this is the next generation of leaders!
compneurosci.com/Neuro4Pros/i...
Tired of training or tuning your inference network, or waiting for your simulations to finish? Our method NPE-PF can help: It provides training-free simulation-based inference, achieving competitive performance with orders of magnitude fewer simulations! ⚡️
Tired of training or tuning your inference network, or waiting for your simulations to finish? Our method NPE-PF can help: It provides training-free simulation-based inference, achieving competitive performance with orders of magnitude fewer simulations! ⚡️
👉 Live am HIIG & im Stream: www.hiig.de/events/digit...
👉 Live am HIIG & im Stream: www.hiig.de/events/digit...
More details at: jobs.vib.be/j/110908/pos...
More details at: jobs.vib.be/j/110908/pos...
Also, a good reminder to share that our work is now out in Cell Reports 🙏🎊
⬇️
www.cell.com/cell-reports...
Also, a good reminder to share that our work is now out in Cell Reports 🙏🎊
⬇️
www.cell.com/cell-reports...
Trained on neural and behavioral data from 70+ mice, NEDS achieves state-of-the-art prediction of behavior (decoding) and neural responses (encoding) on held-out animals. 🐀
Trained on neural and behavioral data from 70+ mice, NEDS achieves state-of-the-art prediction of behavior (decoding) and neural responses (encoding) on held-out animals. 🐀
I dusted off the blog to say a bit more about why I'm excited for this move:
tomdonoghue.github.io/ms/2025/04/1...
I dusted off the blog to say a bit more about why I'm excited for this move:
tomdonoghue.github.io/ms/2025/04/1...
#Cosyne2025 @cosynemeeting.bsky.social
#Cosyne2025 @cosynemeeting.bsky.social
In response to the @thetransmitter.bsky.social article by @tyrellturing.bsky.social & Eva Dyer (tinyurl.com/veb7p88f) I'll be talking about:
How do "foundation"/AI models help us (experimenters) study the brain?
In response to the @thetransmitter.bsky.social article by @tyrellturing.bsky.social & Eva Dyer (tinyurl.com/veb7p88f) I'll be talking about:
How do "foundation"/AI models help us (experimenters) study the brain?
Object-centric neural representations across species 🐒🐁🕷️🐝🖥️
Check out our homepage: toliaslab.org/workshop/cos...
Excellent speakers include @dyamins.bsky.social @hansopdebeeck.bsky.social & many more 🙌
Object-centric neural representations across species 🐒🐁🕷️🐝🖥️
Check out our homepage: toliaslab.org/workshop/cos...
Excellent speakers include @dyamins.bsky.social @hansopdebeeck.bsky.social & many more 🙌
& experience discussions on scaling in neuroscience firsthand at the foundation model workshop, where I'll talk both about our work on masked VAEs & latent diffusion for neural & behavioral data
Tuesday at 11:20, @auschulz.bsky.social will give a talk about deep generative models - VAEs and DDPMs - for linking neural activity and behavior, at the workshop on
"Building a foundation model for the brain" (Soutana 1).
& experience discussions on scaling in neuroscience firsthand at the foundation model workshop, where I'll talk both about our work on masked VAEs & latent diffusion for neural & behavioral data
with 3 posters, 2 workshop talks, and a main conference contributed talk (for the very first time in Mackelab history 🎉)!
with 3 posters, 2 workshop talks, and a main conference contributed talk (for the very first time in Mackelab history 🎉)!
We’ve just launched openretina, an open-source framework for collaborative retina modeling across datasets and species.
A 🧵👇 (1/9)
We’ve just launched openretina, an open-source framework for collaborative retina modeling across datasets and species.
A 🧵👇 (1/9)
- 🎯 Score-based i.i.d sampling
- 🔀 Simultaneous estimation of multiple discrete and continuous parameters or data.
- 📊: mini-sbibm for quick benchmarking.
Just in time for our 1-week SBI hackathon starting tomorrow---stay tuned for more!
- 🎯 Score-based i.i.d sampling
- 🔀 Simultaneous estimation of multiple discrete and continuous parameters or data.
- 📊: mini-sbibm for quick benchmarking.
Just in time for our 1-week SBI hackathon starting tomorrow---stay tuned for more!
Congratulations to @auschulz.bsky.social et al.
https://www.cell.com/cell-reports/fulltext/S2211-1247(25)00109-3
Congratulations to @auschulz.bsky.social et al.
https://www.cell.com/cell-reports/fulltext/S2211-1247(25)00109-3
Absurd we still need to go through this
🧪👩🔬
Absurd we still need to go through this
🧪👩🔬
Explore interactive visualizations, datasets, code + paper: google-research.github.io/zapbench
🧠🧪
Explore interactive visualizations, datasets, code + paper: google-research.github.io/zapbench
🧠🧪
We’re building cutting-edge, open-source AI tutoring models for high-quality, adaptive learning for all pupils with support from the Hector Foundation.
👉 forms.gle/sxvXbJhZSccr...
We’re building cutting-edge, open-source AI tutoring models for high-quality, adaptive learning for all pupils with support from the Hector Foundation.
👉 forms.gle/sxvXbJhZSccr...
I'm a bit late in the game here, anything picking steam?
Skeetprint?
If there isn't any... I kind of like "science flutter"
I'm a bit late in the game here, anything picking steam?
Skeetprint?
If there isn't any... I kind of like "science flutter"
How do mice distinguish self-generated vs. object-generated looming stimuli? Our new study combines VR and neural recordings from superior colliculus (SC) 🧠🐭 to explore this question.
Check out our preprint doi.org/10.1101/2024... 🧵
How do mice distinguish self-generated vs. object-generated looming stimuli? Our new study combines VR and neural recordings from superior colliculus (SC) 🧠🐭 to explore this question.
Check out our preprint doi.org/10.1101/2024... 🧵
www.academics.de/koepfe/steff...