iiinova — where your digital self keeps evolving

Reposted by Caroline Robertson

Jakob Voigts @jvoigts.bsky.social · 11/10/2026

How do 🐁deal with complex landscapes? Turns out they learn a lot very quickly. We think they do this by learning a set of repeated sparse paths, which form a type of compressed world model. Joint work with the Hermundstad lab, led by Tzuhsuan Ma and Alison Comrie: www.biorxiv.org/content/10.6...

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Reposted by Caroline Robertson

Apurva Ratan Murty @apurvaratan.bsky.social · 02/10/2026

I also want to share an update from our topographic ANN work led by Haider Al Tahan (not on bsky!). What does adding topography actually do to a model’s internal representations? Does it make is more brain like? Let me tell you about TopoAudio! #neuroskyence #neuroscience #brain #neuroai

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Caroline Robertson @carolinerobertson.bsky.social · 23/09/2026

Our newest work: a voxel-level retinotopic code structures the functional coupling of large-scale cortical networks — led by the brilliant @neurosteel.bsky.social and @pangeli95.bsky.social!

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Reposted by Caroline Robertson

Christopher Honey @chrishoney.bsky.social · 16/09/2026

1/ How do we sustain mental continuity in the face of interruption? @xianl-explorer.bsky.social found that, while people listen to a story, posterior medial cortex expresses a slowly evolving "background" representation of the story's context, which survived through silence and interfering tasks.

A schematic figure showing an evolving timeline of mental context during an interrupted narrative.

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Reposted by Caroline Robertson

Rhodri Cusack @rhodricusack.bsky.social · 10/09/2026

We're hiring! 2 postdocs + 3 PhD students to join InfantNeuroAI at Trinity College Dublin: awake infant fMRI & OPM-MEG, plus computational models of how infants learn. Aims: understand infant visual cognition, infant neuroimaging methods, more energy-efficient learning 🧵 www.cusacklab.org/vacancies

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Caroline Robertson @carolinerobertson.bsky.social · 19/08/2026

Check out our new paper! On how visual information is organized at the voxel level in the human #hippocampus.

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Reposted by Caroline Robertson

Leyla Isik @lisik.bsky.social · 03/08/2026

Also if you're at #CCN2026 come chat with me about Minds, Machines, and Brains @mmb-journal.bsky.social A new journal we are launching with @mitpress.bsky.social with my co-EICs Kendrick Kay & Ellie Pavlick, and the rest of the wonderful editorial board: direct.mit.edu/mmb/pages/ed...

direct.mit.edu

Editorial Information | Minds, Machines, and Brains | MIT Press

Editorial Information | Minds, Machines, and Brains | MIT Press Editorial Information All inquiries should be directed to mindsmachinesandbrains@gmail.com Co-Editors in Chief Leyla Isik ...

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Reposted by Caroline Robertson

Mark Thornton @markthornton.bsky.social · 03/08/2026

Very excited to share this preprint from me, @emmatempleton.bsky.social, @lindseytepfer.bsky.social & @thaliawheatley.bsky.social! "Friends and strangers engage in distinct regimes of body motion synchrony during conversation" osf.io/preprints/ps...

Forms of body motion synchrony. A) Motion quantity synchrony – synchrony in the amount of motion (orange) people engage in over time. This form of synchrony is agnostic to the direction of this movement, may be positive or negative, occurs at varying time lags, and is not specific to matched body parts across members of the dyad. B) Pseudo-synchrony – motion quantity synchrony between people who are not actually interacting. That is, members of different conversations engaging in similar amounts of motion at similar points in the conversation relative to its initiation. And C) directional synchrony – people moving the same body parts in the same direction (or along the same axis in the opposite direction) at the same time (or at some specific time lag).

Mechanisms of synchrony. A) Turn-taking, which causes increases in motion around the time of speaker role exchanges, as participants gesture to hand over or take over the floor. B) Conservation of motion in which one participant moves less when the other moves more, holding the total motion quantity relatively constant over time (note that the total amount of motion across the dyad is similar in the two panels, because one person reduces their motion to balance out the increase in the other’s motion). C) Entrainment, in which mutual following of the same conversational script leads to synchronized movement among people who are not directly interacting (i.e. pseudo-synchrony). Greeting gestures such as the handshakes depicted are one acute manifestation of this entrainment. D) Station-keeping, which maintains proxemic distance and eye level between members of the dyad. This mechanism accounts for directional synchrony, particularly between strangers who feel uncomfortable within each other’s personal space.

Motion quantity synchrony among friends and strangers. A) Friends displayed significant positive synchrony in total motion quantity at short time lags (< 2.5 s) and B) this effect generalized across the majority of body part pairs (each line represents one pair). For example, one series of points might represent the synchrony between the amount of motion in one participant’s left hand and the other’s right foot. C) Strangers displayed significant positive synchrony in total motion quantity at short time lags (< 1 s) and significant negative total motion quantity synchrony at longer time lags (2.5 – 16.6 s). D) Again, this effect generalized to most body part pairs.

Directional synchrony among friends and strangers. A) Among friends, we observed statistically significant directional synchrony in only two body parts (nose and eye) and only in the vertical axis. B) Among strangers, we observed statistically significant directional synchrony in a large number of body parts in the horizontal, vertical, and depth axes.

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Reposted by Caroline Robertson

Freddy Kamps @fkamps.bsky.social · 29/07/2026

New paper! We found basic scene selectivity arises across the scene network early in infancy (i.e., by ~3.5 months old), prior to independent navigation experience www.pnas.org/doi/10.1073/...

pnas.org

The cortical scene processing network emerges in infancy, prior to independent navigation experience | PNAS

Sighted people rely on vision to recognize and navigate the local environment. By adulthood, human cortex contains at least three regions that resp...

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Reposted by Caroline Robertson

Peter Kok @peterkok.bsky.social · 17/07/2026

The postdoc position in our lab closes 20 July - get applying! :)

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Caroline Robertson @carolinerobertson.bsky.social · 12/06/2026

Very excited to share this paper, led by @ajhaskins.bsky.social ! We find that how people look around the world is stable and idiosyncratic — and that these gaze patterns are shaped in part by the conceptual priorities each person brings to a scene. 1/3 www.pnas.org/doi/10.1073/...

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