iiinova — where your digital self keeps evolving

Lara Höfling @lhoefling.bsky.social · 27/07/2026

openretina - retinal datasets and models ready for your research questions 🤓 This is a really fun community effort towards unifying the retina modeling landscape and thereby accelerating research on the computational principles of retinal information processing. Please check it out! ⬇️

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Reposted by Lara Höfling

Shervin Safavi @neuroprinciplist.bsky.social · 09/06/2026

1/11 Happy to share our TICS paper on using the flexibility of one of the most basic cognitive functions, perception, to understand one of the most complex cognitive dysfunctions, psychiatric conditions (also my first formal work in computational psychiatry 🎉) 📄: www.cell.com/trends/cogni... 🧵 : 👇

cell.com

Perceptual multistability: a multifaceted window into brain dysfunctions

Perceptual multistability, observed across species and sensory modalities, offers valuable insights into numerous cognitive functions and dysfunctions. For instance, differences in temporal dynamics a...

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Reposted by Lara Höfling

Nicole Rust @nicolecrust.bsky.social · 27/04/2026

Friends in Göttingen! I'm looking forward to visiting you tomorrow (Tuesday 27 April) for two events. The first: a research talk about mood in the brain (at 2p). www.dpz.eu/im-dialog/ve... The second: a discussion of my book, Elusive Cures (at 5:30p). events.goettingen-campus.de/event/177609...

What happens in our brains to generate our moods? We don't yet know. Unlike functions like memory that can be measured objectively, mood is typically assessed with subjective ratings, such as “On a scale of 1 to 5, how excited (or upset) are you?” At the same time, our most precise neural measurements come from nonhuman animals, who cannot report how they feel. Mood is an extreme example of a central problem in neuroscience: we need measurements to create understanding, but we need understanding to design good measurements. Once we fully understand mood, we'll know exactly how to measure it (for instance, in an animal). But how do we get there?

In this talk, I will draw on the notion of “epistemic iteration,” proposed by the philosopher Hasok Chang, to describe how scientists tackled the conceptually analogous problem of understanding temperature in the 17th century. Building on this idea, we have developed a new approach to bridge the gap between behavioral and neural measures of mood. I will describe how we have used this strategy to identify a strong neural correlate of mood, reflected in the heterogeneous, persistent responses of individual neurons in monkey anterior insular cortex — a brain area implicated in human mood via lesions, fMRI, and microstimulation. Finally, I will describe how these insights are leading us to detailed accounts of how the brain converts experiences into mood and the mechanisms that keep mood within a healthy range, rather than spiraling out of control.

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Reposted by Lara Höfling

Fabian Sinz @sinzlab.bsky.social · 24/04/2026

🧠Introducing OmniMouse: One of the largest datasets in neuroscience along with a systematic study of scaling properties of brain models Co-led by 🤩 K. Willeke, @pollytur.bsky.social and @alexrgil14.bsky.social Models trained on up to 3M neurons, >150B tokens

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Lara Höfling @lhoefling.bsky.social · 12/03/2026

#cosyne2026 attendees: Consider checking out our new work on alignment pattern analysis as a way of tightening the definition of what it means for a model to be brain-like! Poster 1-085, Thur 12 March. Everyone else: you can also find the #ICLR2026 paper here: openreview.net/forum?id=cMG...

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Reposted by Lara Höfling

twiml.bsky.social @twiml.bsky.social · 13/02/2026

We’re excited to invite you to the 4th Tübingen Women in Machine Learning Workshop! 🧠 From Benchmarks to Brains: Incentives and Responsibility in Modern AI 📅 March 6, 2026 📍 Maria von Linden Str. 1, Tübingen 🔗 Register: lnkd.in/ddYYhc36 🌟 Everyone is welcome 🌟 👉 Tentative schedule: lnkd.in/ge-YvHJx

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Reposted by Lara Höfling

ML for Science @ml4science.bsky.social · 22/05/2025

We're super happy: Our Cluster of Excellence will continue to receive funding from the German Research Foundation @dfg.de ! Here’s to 7 more years of exciting research at the intersection of #machinelearning and science! Find out more: uni-tuebingen.de/en/research/... #ExcellenceStrategy

The members of the Cluster of Excellence "Machine Learning: New Perspectives for Science" raise their glasses and celebrate securing another funding period.

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Lara Höfling @lhoefling.bsky.social · 17/03/2025

openretina is now live! It's the retina modelling platform you've been waiting for: versatile and accessible to experimentalists and modellers alike. More information & links to the Python package & the paper in the thread below! Also, find us at @cosynemeeting.bsky.social next week, details TBA!

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