Joined May 2020
🧠💻 Join the Brainhack satellite at #FENS2026 (July 5)! ✨ Open to all - no FENS registration required 📆 Registration opens April 9 ⚠️ Limited to 100 spots (first come, first served) Learn more: pre-fens-brainhack.github.io… #Brainhack #OpenScience #Neuroscience
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Pre-COSYNE Brainhack 2026 – Join Us in Lisbon! March 10–11, 2026 • Lisbon, Portugal pre-cosyne-brainhack.github.… Kick off COSYNE week with two days of hands-on, team-based hacking around real electrophysiology data, open tools, and reproducible workflows. #cosyne26 #cosyne2026
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New preprint from @HanganuOpatzLab! We present iSTTC, a robust method for estimating intrinsic neural timescales (ITs) from single-unit activity. It’s accurate, stable, and works even when data is sparse. doi.org/10.1101/2025.08.01.6…
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iSTTC doesn’t just perform well in simulations; it works in the mess of real neural data, too. Using 30 min of Neuropixels recordings from the Visual Coding @AllenInstitute dataset, iSTTC gave more stable, more accurate, and more inclusive IT estimates than other methods.
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We implemented iSTTC to tackle challenges in our own sparse, developmental datasets, and it’s working beautifully. We hope it helps others working with tricky spiking data. Try it yourself github.com/iinnpp/isttc!
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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/…
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Headed to @BernsteinNeuro 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/ @neuroprinciples
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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/s41467-0…👇
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I am excited to announce our workshop at the upcoming Bernstein Conference 2024 @BernsteinNeuro 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
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Excited to announce that I've started a regular column at The Transmitter @_TheTransmitter ! First column just out on that most convenient of all the fictions in neuroscience: averaging thetransmitter.org/neural-co…
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Irina Pochinok retweeted
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/ @SelfOrgAnna & @jakhmack (2nd blogpost to turn into a real review paper this year lol)
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It’s finally out🔥 Our review formalizes hours of conversations w/ @_rdgao over the past 2 years, starting from our @CosyneMeeting workshop, into a new perspective about neural timescales. Thanks to @SelfOrgAnna, @jakhmack and all our wonderful speakers and attendees!
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/ @SelfOrgAnna & @jakhmack (2nd blogpost to turn into a real review paper this year lol)
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Irina Pochinok retweeted
📜🎉 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/10.1101/…
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Irina Pochinok retweeted
Cosyne 2025 is open for business 🥳🧠🥳🧠🥳 Abstract submission lasts from now until October 23rd! For key dates and more info 👀👇 cosyne.org/
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Our lab at @UKEHamburg is recruiting! We are looking for a highly motivated PhD student to study the circuit dynamics underlying the development of cognitive flexibility. Please RT
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