Somebody let me teach a full college class this summer at UCSD lol: 20 lectures on Neural Signal Processing. All course material here: https://t.co/ITlAq2rUuY The labs should be especially useful - they are designed to build incrementally towards DSP concepts in neuroscience.

Luckily goodbye is temporary and many are coming to Bernstein in a week. If you’re also at Bernstein and want to chat about science, life, or whatever, send me a message! p.s. Frankfurt is probably the easiest place to leave whether you need to fly or take the train. FYI.

Lastly, on that note about people: 4 years in Tübingen flew by, and I truly had to adjust to "the village" when I first came. But now I really, really cannot imagine leaving. I’m thankful for so many people’s support, guidance, love, and sheer buffoonery.

If you know me, you can probably gather what my values are & what kind of advisor I aim to be (for better or worse) If not, just read the blog, or scroll back on my Twitter feed My motto that I stole and modified: work hard, have fun, don’t be a dick. https://t.co/2cjZsDTCL4

If you are (or know) a hardworking student with a background in machine learning or computational neuroscience (loosely defined), and want to do a PhD while learning more about methods and problems in the respective other fields, don’t hesitate to reach out.

In short, #AI4Neuro. Ofc, there are many opportunities going the other way, i.e., #NeuroAI. But I’m pretty adamant on making a strong distinction between these two things. (my job title—I shit you not—is “Professor für Machine Learning of World Models”) https://t.co/kU2Jvzxns2

For the next little while, a big focus will be on developing and applying ML methods both for assisting “white-box” mechanistic & biophysical models (e.g., simulation-based inference) and to serve as “blackbox” generative models that can subsequently be dissected & interpreted

Coming from engineering, I wanted to translate what we know from animal & theory work to benefit human lives. Now, we will use multimodal & multi-species brain data, mechanistic models, and machine learning to link data and theory while doing method development in all the above

The research group will tackle a fairly broad but well-defined technical question: What can we infer about the brain that we can’t easily measure, from signals that *can* be easily but (often) poorly measured? This question has been close to my heart from even before my own PhD

I've been waiting some years to make this joke and now it’s real: I conned somebody into giving me a faculty job! I’m starting as a W1 Tenure-Track Professor at Goethe University Frankfurt in a week (lol), in the Faculty of CS and Math and I'm recruiting PhD students 🤗

🚨 Excited to announce our #NeurIPS2025 Workshop: Data on the Brain & Mind 📣 Call for: Findings (4- or 8-page) + Tutorials tracks 🎙️ Speakers include @FieteGroup @dyamins @CPehlevan @RajeshPNRao @GwilliamsL 🌐 Learn more: https://t.co/9pRnzfaNdc

looking forward to many more Twitter / BS debates on why oscillations and LFPs don't ~do~ anything! https://t.co/X8Xaq0AOV2

"exhaust fumes" made it into the official abstract! hence completing the journey from an epiphenomenal shitpost blog to a full-blown review paper. all thanks to this cast of co-authors (esp. @sandervanbree), our TICS editor (@LindseyDrayton), and two very engaged reviewers!

now that neurips 2024 is over, I can confidently say that this was by far the most unhinged poster I saw (and also my favorite).

Come checkout our poster at #NeurIPS2024 😀 We are presenting a new approach for pretraining neurofoundation models that can learn interactions between brain areas.

the latest and greatest installment on our mission to generate really good counterfeit neural recordings... now with latents! (which makes it both AI4Neuro and neuroAI)

Julius Vetter (on Bluesky) and I are excited to present our work at #Neurips2024! We present Sourcerer: a maximum-entropy, sample-based solution to source distribution estimation. Paper: https://t.co/HUYgz8ySCw Code: https://t.co/WBPD3uVQUm (1/8)

Thrilled to announce we have three #NeurIPS2024 papers! Interested in simulating realistic neural data with diffusion models or recurrent neural networks, or in source distribution sorcery? Have a look 👇 1/4

The sbi package is growing into a community project 🌎 To reflect this and the algorithms, neural nets, and diagnostics that have been added since its initial release, we have written a new software paper. Reach out if you want to get involved:

i swear to f god...

tonight the fate of the universe on the line, the Martians have the death beam pointed at earth...