If you’re at #ICLR2024 and interested in timescales, curriculum learning and memory tasks, drop by our poster #51 at poster session 3, Halle B, Wed 8 May 10:45-12:45!

👏👏👏 Benchmarking methods for mapping functional connectivity in the brain | bioRxiv biorxiv.org/content/10.110…

Quite possibly my favorite project so far! Couldn't be happier to see it finally out 🥳 With twitterless Marilena Hnida, Johanna Kostka and Yu-Nan Chen

If you are interested in ripples development and want to get a very short summary of the 👇then come tomorrow to Hippocampus Green Meeting :D hippocampusgreen.net/wp/

Noise – feature or bug?! Join us at #FENS2024, symposium S37 Fri 28th AM, Hall E, to hear how noise/variability are important for circuit function and development. With Bassem Hassan, Robin Hiesinger, eva a naumann and Máté Lengyel Something for everyone – flies & fish, mice & models….

We made individualized models of excitation inhibition ! And checked robustness, parameters and its link to development in cross sectional and longitudinal data! biorxiv.org/content/10.110…

(1/13) We are beyond delighted to announce the public release of the data for the Reproducible Brain Charts (#RBC) effort – a 100% open data resource for study of the developing brain + psychiatry, funded by National Institute of Mental Health (NIMH) reprobrainchart.github.io

Interested in "Odor representations in the limbic system"? Join tomorrow our syposium at ISOT2024-Reykjavik organized with Emre Yaksi and talks by Ilona Grunwald Kadow, Tanya Sharpee and Jay Gottfried.

Parvalbumin (PV) interneurons play a key role in generating brain oscillations. But how do they do it? We simultaneously imaged membrane potentials in up to 26 PV interneurons to reveal their teamwork during hippocampal ripple oscillations! cell.com/neuron/fulltex…

Our lab at UKE Hamburg is recruiting! We are looking for a highly motivated PhD student to study the circuit dynamics underlying the development of cognitive flexibility. Please RT

Cosyne 2025 is open for business 🥳🧠🥳🧠🥳 Abstract submission lasts from now until October 23rd! For key dates and more info 👀👇 cosyne.org

arxiv.org/abs/2409.02684 Very nice ! Roxana Zeraati Richard Gao

📜🎉 We have a new preprint: an overview & comparison of measures of 'aperiodic' neural activity! This project explores different ideas & many methods used to study non-oscillatory features of intra- & extra-cranial electrophysiological recordings! biorxiv.org/content/10.110…

Back in 2022, Roxana Zeraati & I organized a Cosyne workshop on neural timescales, and after working on it for the last 2 years together, it's now a review paper! arxiv.org/abs/2409.02684 w/ Anna Levina & Jakob Macke (2nd blogpost to turn into a real review paper this year lol)

Excited to announce that I've started a regular column at The Transmitter The Transmitter ! First column just out on that most convenient of all the fictions in neuroscience: averaging thetransmitter.org/neural-coding/…

It’s finally out🔥 Our review formalizes hours of conversations w/ Richard Gao over the past 2 years, starting from our CosyneMeeting workshop, into a new perspective about neural timescales. Thanks to Anna Levina, Jakob Macke and all our wonderful speakers and attendees!

I am excited to announce our workshop at the upcoming Bernstein Conference 2024 Bernstein Network Computational Neuroscience How much biological inspiration makes a system "neuromorphic"? What can we learn from Neuroscience breakthroughs and Machine Learning success? link: tinyurl.com/5yzskcpd 1/n

Headed to Bernstein Network Computational Neuroscience Conference this weekend and interested in how biological computation is performed across different scales from single neurons to populations and whole-brain and even astrocytes and the whole body, drop by our workshop co-organized w/ Shervin Safavi

Hippocampus generates an internal model of Euclidean space. We ventured in a spatial odyssey exploring how much of the internal model is a priori, innate (Nature) and what is contributed by postnatal experience of Euclidean geometry (Nurture) Our answer@ nature.com/articles/s4146…👇

If we assume that the brain is randomly wired and that cell identity isn't a thing, we can still decode stimuli by pooling and averaging. If we drop these assumptions we can do *much* better. Which option do we think nature chooses? jneurosci.org/content/33/46/…