1/ Another @iclr-conf.bsky.social paper thread!
Do you want to make SOTA probabilistic predictions using transformers & your dataset is a *set* (not a sequence or time series), so you care about permutation invariance... but also efficiency?
Keep reading, we have exactly what you need. 👇
This study presents a unified computational framework of meta-control that explains how people regulate cognitive control across different timescales and contexts, accounting for both rapid, short-lived adjustments and slower, more enduring adaptations.
www.nature.com/articles/s44...
Super excited to share this preprint! How do we disentangle underlying structure from the particular features of a learning episode to benefit future learning? We find that memory reactivation during sleep promotes this structure abstraction process.
www.biorxiv.org/content/10.6...
Can we really measure replay in humans using MEG with current methods? In our most recent paper we simulated replay under realistic conditions via a novel hybrid approach with astonishing results.
we're delighted that it has now been published @elife.bsky.social!
elifesciences.org/articles/108...
1/N: Dear colleagues, I would like to share a new paper on the subiculum, part of my PhD with the Neural Computation Group @andrejbicanski.bsky.social @mpicbs.bsky.social . We present “A theory of subicular function and generalized vector coding” that we call Disco. www.biorxiv.org/content/10.6...
Now in eLife as a reviewed preprint too elifesciences.org/reviewed-pre...
Happy to share our new preprint:
Uncovering the representational geometry of durations
Is time represented along a single mental timeline? We combine behaviour + EEG to show that duration is organised in a richer, multidimensional space.
w/ @lnalborczyk.bsky.social & @virginievanw.bsky.social
🔔PREPRINT: Sleep ripples drive single-neuron reactivation for human memory consolidation
1/9: How does sleep support human memory consolidation? To test this, we recorded hundreds of neurons in the human medial temporal lobe (MTL) across learning, wakefulness, and sleep.
doi.org/10.64898/202...
Proud to share the lab’s first preprint, led by the fantastic @christinamaher.bsky.social! 🎉
Real-world environments are high-dimensional and noisy.
Selective attention is thought to shape the state representations that make reinforcement learning tractable.
1/N: Dear cognitive map fans, I’d like to share a model I’ve been working on for a while (clearing backlog :). I show how a vector navigation architecture (VNA) and a “positional inference network” (PIN) can build Universal Cognitive Maps (UCMs) for abstract spaces.
www.biorxiv.org/content/10.6...
Now out in Hippocampus. Fei Wang‘s model of Trace Vector Cells and intra-subiculum processing, consistent with know effects in CA1.
onlinelibrary.wiley.com/share/CPZPYM...
Human hippocampal theta–gamma coupling coordinates sequential planning during navigation
Impressive study from Dan Bush's Lab at UCL:
www.pnas.org/doi/10.1073/...
1/6 Happy to share our new paper with @grassocamille.bsky.social and @virginievanw.bsky.social: "Nested contextual change and the temporal compression of episodic memory". www.biorxiv.org/content/10.6...
1/9 New paper with @gonzalezgarcia.bsky.social and @lindedomingo.bsky.social : “Characterising semantic prioritisation in visual working memory.”
Core question: when we hold visual info briefly in mind, what gets accessed first: perceptual details or semantic meaning?
New preprint 🚨
Across multiple tasks, we show that higher-level info is more readily accessible in WM before evidence accumulation begins. Attention then boosts perceptual detail.
www.biorxiv.org/content/10.6...
A lot of fun with my colleagues @ckerren.bsky.social and @gonzalezgarcia.bsky.social
Our new preprint is out on bioRxiv! @doellerlab.bsky.social
We show that eye-movement sequences actively organize information by aligning with underlying structure and flexibly adapting to cognitive demands in working memory.
www.biorxiv.org/content/10.6...
Our paper is out in @natneuro.nature.com!
www.nature.com/articles/s41...
We develop a geometric theory of how neural populations support generalization across many tasks.
@zuckermanbrain.bsky.social
@flatironinstitute.org
@kempnerinstitute.bsky.social
1/14
Interested in cognitive maps? Wondering how you should best train your participants? Luckily for you, we have investigated just that! Very excited to share a preprint from my PhD in which we show how initial training curriculum affects the cognitive maps we form
osf.io/preprints/ps...
[1/6]
Super thrilled to finally share the results of our team effort, from the lab of the one and only @ayab.bsky.social. Hopefully it will stir interesting discussions about how the brain balances continuity and segmentation
Final paper of my PhD 🤗
www.nature.com/articles/s44...
There is growing interest in how cognitive control may improve value-based decision making.
However, we find that a recent paper overestimated the role of control in their task, leading to erroneous interpretations of dACC recordings.
Finally: the fantastic #registeredreport from bsky-less Roni Tibon is out: www.nature.com/articles/s41... showing less difference between #episodic vs. #semantic #memory than one might have thought.
Proud to have contributed a tiny part to this great paper.
🚨 New paper out in Science Advances 🚨
With @suryagayet.bsky.social and @peelen.bsky.social, in two fMRI studies we investigate mental object rotations that are driven by the scene context, rather than purely by cognitive operations. 🧵 www.science.org/doi/10.1126/...
How do we achieve few-shot generalization? New work led by @fabianrenz.bsky.social dives into the role of replay in learning and using structure to generalize reward. Dream team effort with Shany Grossman @nathanieldaw.bsky.social Peter Dayan & @doellerlab.bsky.social
www.biorxiv.org/content/10.6...
Our new paper, now published in Cell Reports, asks how the brain adaptively shapes its representations according to the statistical structure of the environment to overcome the limits of working memory capacity.
www.cell.com/cell-reports...
Efficient coding in working memory is adapted to the structure of the environment
doi.org/10.1016/j.ce...
#neuroscience
super excited to share my preprint with @meganakpeters.bsky.social stimulus familiarity shapes hierarchical structure learning and metacognitive dynamics🚀😊!!
osf.io/preprints/ps...
Stacking Variational Bayesian Monte Carlo paper in TMLR.
1/ Excited to share our new work published in Transactions on Machine Learning Research (TMLR), Stacking Variational Bayesian Monte Carlo (S-VBMC)!
New preprint: Inference over hidden contexts shapes the geometry of conceptual knowledge for flexible behaviour.
In this pre-reg study, our core claim was that we don’t just learn stimulus-reward. We infer hidden context and that inference re-wires attention and neural state space on the fly.
1/8
Our holiday celebrations are especially happy this year, with a new paper out: "Global and Local Deviance Effects in the Processing of Temporal Patterns", about how we detect and keep track of temporal regularities.
Congrats to @duniagiomo.bsky.social and the whole team!🎉
doi.org/10.1111/nyas...