Zǐwēi Huáng
@hzwei.dev
SciDev @ Berens Lab, Hertie AI, Uni TÜ.
Work account. Mostly reposting colleagues, occasionally spotting cats.
Work account. Mostly reposting colleagues, occasionally spotting cats.
Pinned
Zǐwēi Huáng
@hzwei.dev
· 22d
TBH, I don't have much to post from work, so to fill the void I'll just share photos of cats I meet in Tübingen from time to time.
Reposted by Zǐwēi Huáng
Excited to share that our paper got accepted @NeurIPS! 🎉
We introduce TRACE, a new contrastive learning method for visualizing multi-trial neural time-series data.
📊 2D visualizations revealing biological patterns
🔍 Automatic artifact detection
🔬 Works for calcium imaging & electrophysiology data
We introduce TRACE, a new contrastive learning method for visualizing multi-trial neural time-series data.
📊 2D visualizations revealing biological patterns
🔍 Automatic artifact detection
🔬 Works for calcium imaging & electrophysiology data
December 3, 2025 at 9:54 AM
Excited to share that our paper got accepted @NeurIPS! 🎉
We introduce TRACE, a new contrastive learning method for visualizing multi-trial neural time-series data.
📊 2D visualizations revealing biological patterns
🔍 Automatic artifact detection
🔬 Works for calcium imaging & electrophysiology data
We introduce TRACE, a new contrastive learning method for visualizing multi-trial neural time-series data.
📊 2D visualizations revealing biological patterns
🔍 Automatic artifact detection
🔬 Works for calcium imaging & electrophysiology data
Reposted by Zǐwēi Huáng
Excited to present at #NeurIPS this week on my work building biophysical models of the outer retina! If you’re around come check it out or just say hi, poster #2015, Friday 11-2🎉
You can find the full paper here: openreview.net/forum?id=ayj...
In brief🧵:
You can find the full paper here: openreview.net/forum?id=ayj...
In brief🧵:
A data and task-constrained mechanistic model of the mouse outer...
Visual processing starts in the outer retina where photoreceptors transform light into electrochemical signals. These signals are modulated by inhibition from horizontal cells and sent to the inner...
openreview.net
December 3, 2025 at 6:06 AM
Excited to present at #NeurIPS this week on my work building biophysical models of the outer retina! If you’re around come check it out or just say hi, poster #2015, Friday 11-2🎉
You can find the full paper here: openreview.net/forum?id=ayj...
In brief🧵:
You can find the full paper here: openreview.net/forum?id=ayj...
In brief🧵:
Reposted by Zǐwēi Huáng
Retina model with Jaxley poster #2015: Friday 5 Dec 11:00am at San Diego ➡️ openreview.net/forum?id=ayj... 7/11
A data and task-constrained mechanistic model of the mouse outer...
Visual processing starts in the outer retina where photoreceptors transform light into electrochemical signals. These signals are modulated by inhibition from horizontal cells and sent to the inner...
openreview.net
December 1, 2025 at 4:16 PM
Retina model with Jaxley poster #2015: Friday 5 Dec 11:00am at San Diego ➡️ openreview.net/forum?id=ayj... 7/11
Reposted by Zǐwēi Huáng
Third, in collaboration with @kyrakadhim.bsky.social, @philipp.hertie.ai, and others, we built a task- and data-constrained biophysical network of the outer plexiform layer of the mouse retina. To optimize this model, we built it on top of our Jaxley toolbox for differentiable simulation. 6/11
December 1, 2025 at 4:16 PM
Third, in collaboration with @kyrakadhim.bsky.social, @philipp.hertie.ai, and others, we built a task- and data-constrained biophysical network of the outer plexiform layer of the mouse retina. To optimize this model, we built it on top of our Jaxley toolbox for differentiable simulation. 6/11
Reposted by Zǐwēi Huáng
On our blog: For decades, brain simulations have either been largely simplified, or they could not perform cognitive tasks. #JAXLEY, a new AI tool, opens possibilities to build brain simulations that overcome both limitations: www.machinelearningforscience.de/en/jaxley-ai... #AIforScience
AI tool for brain simulations links cellular detail to cognitive functions — MACHINE LEARNING for science
For decades, brain simulations have either been largely simplified, or they could not perform cognitive tasks. A new AI tool opens possibilities to build brain simulations that can achieve both.
www.machinelearningforscience.de
November 24, 2025 at 10:04 AM
On our blog: For decades, brain simulations have either been largely simplified, or they could not perform cognitive tasks. #JAXLEY, a new AI tool, opens possibilities to build brain simulations that overcome both limitations: www.machinelearningforscience.de/en/jaxley-ai... #AIforScience
Reposted by Zǐwēi Huáng
Simulation-based inference (SBI) has transformed parameter inference across a wide range of domains. To help practitioners get started and make the most of these methods, we joined forces with researchers from many institutions and wrote a practical guide to SBI.
📄 Paper: arxiv.org/abs/2508.12939
📄 Paper: arxiv.org/abs/2508.12939
Simulation-Based Inference: A Practical Guide
A central challenge in many areas of science and engineering is to identify model parameters that are consistent with prior knowledge and empirical data. Bayesian inference offers a principled framewo...
arxiv.org
November 21, 2025 at 3:08 PM
Simulation-based inference (SBI) has transformed parameter inference across a wide range of domains. To help practitioners get started and make the most of these methods, we joined forces with researchers from many institutions and wrote a practical guide to SBI.
📄 Paper: arxiv.org/abs/2508.12939
📄 Paper: arxiv.org/abs/2508.12939
TBH, I don't have much to post from work, so to fill the void I'll just share photos of cats I meet in Tübingen from time to time.
November 13, 2025 at 7:03 PM
TBH, I don't have much to post from work, so to fill the void I'll just share photos of cats I meet in Tübingen from time to time.
Reposted by Zǐwēi Huáng
🎓 We're hiring two PhD students in #MachineLearning for my new group at the Hertie Institute for AI in Brain Health, University of Tübingen!
Work on unsupervised learning, #DeepLearning, and #Neuroscience in a vibrant research environment.
👇 Details below
Work on unsupervised learning, #DeepLearning, and #Neuroscience in a vibrant research environment.
👇 Details below
November 13, 2025 at 9:41 AM
🎓 We're hiring two PhD students in #MachineLearning for my new group at the Hertie Institute for AI in Brain Health, University of Tübingen!
Work on unsupervised learning, #DeepLearning, and #Neuroscience in a vibrant research environment.
👇 Details below
Work on unsupervised learning, #DeepLearning, and #Neuroscience in a vibrant research environment.
👇 Details below
Reposted by Zǐwēi Huáng
Our work on training biophysical models with Jaxley is now out in @natmethods.nature.com. Led by @deismic.bsky.social, with @philipp.hertie.ai, @ppjgoncalves.bsky.social & @jakhmack.bsky.social et al.
Paper: www.nature.com/articles/s41...
Paper: www.nature.com/articles/s41...
Jaxley: differentiable simulation enables large-scale training of detailed biophysical models of neural dynamics - Nature Methods
Jaxley is a versatile platform for biophysical modeling in neuroscience. It allows efficiently simulating large-scale biophysical models on CPUs, GPUs and TPUs. Model parameters can be optimized with ...
www.nature.com
November 13, 2025 at 1:08 PM
Our work on training biophysical models with Jaxley is now out in @natmethods.nature.com. Led by @deismic.bsky.social, with @philipp.hertie.ai, @ppjgoncalves.bsky.social & @jakhmack.bsky.social et al.
Paper: www.nature.com/articles/s41...
Paper: www.nature.com/articles/s41...