Irina Pochinok
@irinapochinok.bsky.social
doing stuff, HanganuOpatzLab
Reposted by Irina Pochinok
Excited to share our new preprint on the brain-wide organization of intrinsic timescales at single neuron resolution. Work w/ @roxana-zeraati.bsky.social, @intlbrainlab.bsky.social, Anna Levina, @engeltatiana.bsky.social : www.biorxiv.org/content/10.1...
September 2, 2025 at 2:59 PM
Excited to share our new preprint on the brain-wide organization of intrinsic timescales at single neuron resolution. Work w/ @roxana-zeraati.bsky.social, @intlbrainlab.bsky.social, Anna Levina, @engeltatiana.bsky.social : www.biorxiv.org/content/10.1...
Reposted by Irina Pochinok
I am thrilled to share that this winter I will be starting my lab in the GIGA Institute of @universitedeliege.bsky.social!
The lab will study early brain development at the intersection of systems and computational neuroscience.
🌐 You can find out more on the lab website: www.chinilab.com
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The lab will study early brain development at the intersection of systems and computational neuroscience.
🌐 You can find out more on the lab website: www.chinilab.com
1/2
Chini Lab
Chini Lab at GIGA–ULiège. We study how neural activity emerges in early development from a systems neuroscience perspective.
www.chinilab.com
August 27, 2025 at 8:51 AM
I am thrilled to share that this winter I will be starting my lab in the GIGA Institute of @universitedeliege.bsky.social!
The lab will study early brain development at the intersection of systems and computational neuroscience.
🌐 You can find out more on the lab website: www.chinilab.com
1/2
The lab will study early brain development at the intersection of systems and computational neuroscience.
🌐 You can find out more on the lab website: www.chinilab.com
1/2
New preprint is out! 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...
doi.org/10.1101/2025...
iSTTC: a robust method for accurate estimation of intrinsic neural timescales from single-unit recordings
Intrinsic neural timescales (ITs) are an emerging measure of how neural circuits integrate information over time. ITs are dynamically regulated by behavioral context and cognitive demands, making them...
doi.org
August 5, 2025 at 8:27 AM
New preprint is out! 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...
doi.org/10.1101/2025...
Reposted by Irina Pochinok
We are super happy to announce the third Workshop of Ideas in Neuroscience! We will once again look critically at assumptions of modern neuroscience: what does it mean that the brain encodes information? Is this a useful approach, or a metaphor that blurs our vision?
April 24, 2025 at 6:45 PM
We are super happy to announce the third Workshop of Ideas in Neuroscience! We will once again look critically at assumptions of modern neuroscience: what does it mean that the brain encodes information? Is this a useful approach, or a metaphor that blurs our vision?