🎯 Three ways to perceive the same object ⬛ The figure compares luminance-, disparity-, and two-frame motion-defined forms. 📏 Even though motion-defined objects quickly faded from view, observers judged their shape almost as accurately as the other two conditions. Full paper doi.org/10.1177/0301...

Our paper "Neural timescales from a computational perspective" is finally out in @natneuro.nature.com: www.nature.com/articles/s41... We discuss how computational models and methods can distill empirical observations on neural timescales into quantitative, testable theories of brain computation.

Feeling really proud of this one: a review of Bayesian efficient coding with Máté Lengyel and Paul Bays (@bayslab.org) is now available online in TICS! authors.elsevier.com/a/1nF3i4sIRv...

1/ Periodic reminder: decodable ≠ causally used. Or, as we put it: Represented Is Not Computed. New paper w/ the excellent Ishita Darade (not on BSky; www.linkedin.com/in/ishita-da...), an undergrad student: arxiv.org/abs/2605.22488 #representation #NeuroAI #neuroscience #interpretability

🎉New paper out today in Nature Reviews Psychology🎉 with @mjdahl.bsky.social, @mariamaly.bsky.social, and @thiasmittner.bsky.social. We've been working on a unified framework for attentional states and the dynamics of transitions between them. 🧵

There's ongoing discourse about whether digital technology is impacting attention spans, but the empirical research does not seem to connect with what is felt by the general public. So, to better understand the perceptions, we examined what was being said on the issue in four relevant subreddits.

"Science is not simply a sequence of tasks that can be optimized....The scientific system thrives on inefficiency: redundant efforts, failed attempts, and divergent paths. These are not costs to be eliminated but sources of discovery." Excellent essay! ⬇️ www.science.org/doi/10.1126/...

„Rhythmic sampling of decision alternatives through attention“ 🔦 Spotlight of our recent work in @cp-trendscognsci.bsky.social by Alireza Valizadeh www.cell.com/trends/cogni...

Using a detection task with stimuli right at threshold, whole cell recordings in NHP primary visual cortex, and choice probabilities, we demonstrate how internal fluctuations related to anticipation of a stimulus multiplicatively interact with sensory responses.

NEW PAPER🚨👀 in Science Advances with a wonderful transatlantic team. (incl @sylvainbaillet.bsky.social @olejensen.bsky.social @katduecker.bsky.social) Using human MEG, we found lower-order and higher-order neural processes that underlie illusory transitions in conscious visual perception. 🧵👇

Also, I’ll be giving a workshop on the first day about early vision theory and modelling. visualneuroscience.auckland.ac.nz/epc-apcv-2026/

🏰 New preprint! 🏰 (w/ the excellent @neuronomist.bsky.social & Prof. Jason Mattingley) For my PhD I've been using EEG, psychophysics and modelling to explore how the brain uses uncertainty to balance sensory information against expectations about what's out there. 🧵1/n

My first foray into explicitly trying to bridge Marr’s levels, with @bealebrains.bsky.social. Inspired by Hahn and Wei’s models (pubmed.ncbi.nlm.nih.gov/38360947/), we wondered how the brain could instantiate sensory inference with efficient /decoding/ properties. 1/

Using time-resolved EEG/MEG decoding?🧠 Here’s a new approach! No feature engineering (decode from raw signals), but capturing info that standard decoding often misses (oscillatory/aperiodic activity, connectivity). Lightweight, INTERPRETABLE, and easy to use. (1/6) www.biorxiv.org/content/10.6...

"The Analytical Engine has no pretensions whatever to originate any thing. It can do whatever we know how to order it to perform. It [cannot] anticipat[e] any analytical relations or truths. Its province is to assist us in making available what we are already acquainted with." — Ada Lovelace, 1843

Our paper on double decisions in working memory tasks is now published in Computational Brain and Behaviour! When you give people a second chance, it reveals a lot about the contents of their memory. Led by @paulmgarrett.bsky.social @psychunimelb.bsky.social rdcu.be/e8SLX

I'm looking for a skilled PhD student who doesn't want to work too hard but still do great science: unisc-cp.enquire.cloud/round/RND-00...

To add to this: now is the time we need human to human training and transfer of verifiable research and scholarship skills. As much as tech bros want to replace your jobs, legitimate scientists are now more important than ever.

Excited to share our new paper in @pnas.org with @bnmorillon.bsky.social & @valentinwyart.bsky.social www.pnas.org/doi/10.1073/... We study three core inference systems, and how their interaction shapes human learning and decision-making.

𝗪𝗵𝗮𝘁 𝗶𝘀 𝗰𝗼𝗺𝗽𝘂𝘁𝗮𝘁𝗶𝗼𝗻 𝗶𝗻 𝗱𝘆𝗻𝗮𝗺𝗶𝗰𝗮𝗹 𝘀𝘆𝘀𝘁𝗲𝗺𝘀? Interesting paper tackling this difficult question. Answer (in part): it's complicated! The same fixed system can be interpreted as implementing many (even infinitely many) computations depending on the chosen decoding map. doi.org/10.1088/2632...

Why do children struggle to recognise objects in cluttered scenes more than adults? Our new paper looks at the development of visual acuity and crowding across childhood, and the way the visual system fine tunes our ability to see detail: www.nature.com/articles/s41...

from a published academic paper by highly influential authors: pmc.ncbi.nlm.nih.gov/articles/PMC...

Our latest paper, “Visual language models show widespread visual deficits on neuropsychological tests”, is now out in Nature Machine Intelligence: www.nature.com/articles/s42... Non-paywalled version: arxiv.org/abs/2504.10786 Tweet thread below from first author @genetang.bsky.social...

Visual confidence accurately tracks increasing internal noise with eccentricity in peripheral vision https://www.biorxiv.org/content/10.64898/2026.01.28.702447v1

Check out our new paper on Journal of Vision showing that both endogenous and exogenous attention enhance contrast sensitivity uniformly across meridians despite differential adaptation effects! jov.arvojournals.org/article.aspx...

How do people compute a sense of confidence? This question is usually addressed using very simple images because we don't know how complex stimuli are represented internally. In a new paper, we addressed this question using artificial neural networks (ANNs). journals.plos.org/ploscompbiol...

With some trepidation, I'm putting this out into the world: gershmanlab.com/textbook.html It's a textbook called Computational Foundations of Cognitive Neuroscience, which I wrote for my class. My hope is that this will be a living document, continuously improved as I get feedback.

At the Bernstein Conference 2024, Jeremie Lefebvre and I organized a workshop on the computational consequences of neural heterogeneity. Now, slightly more than a year later, we funneled the emerging discussions into a perspective piece: www.cell.com/neuron/fullt...

We recently published a theoretical review about how compositional and generative mechanisms in working memory provide a flexible engine for creative perception and imagery. Pre-print: osf.io/preprints/ps... Paper: www.sciencedirect.com/science/arti...

Happy to share this new paper from the lab led by Angus Chapman, now out in PLoS Biology! It presents an integrated spatiotemporal normalization model for continuous vision. @afchapman.bsky.social journals.plos.org/plosbiology/...

🚨 new preprint alert! biorxiv.org/content/10.1... what is the architecture of an individual working memory? 1/n

Interested in how we make preference-driven decisions, and how this is implemented in the brain? We report that neural correlates of evidence accumulation (CPP, Mu/Beta) are also observed during value-based decisions. www.biorxiv.org/content/10.1... Led by @laurencf.bsky.social (Lauren Fong) 1/n

What is the representation underlying cognition? Formal models rely on multidimensional scaling of similarity judgments to derive the representation. In this preprint with @mdlbayes.bsky.social, we take an alternative approach; we build Bayesian generative models for three cognitive tasks. /1

How does our brain excel at complex object recognition, yet get fooled by simple illusory contours? What unifying principle governs all Gestalt laws of perceptual organization? We may have an answer: integration of learned priors through feedback. New paper with @kenmiller.bsky.social! 🧵

Super happy to share my very first first-author paper out in @sfnjournals.bsky.social! We show content-specific predictions are represented in an alpha rhythm. It’s been a beautiful, inspiring, yet challenging journey. Huge thanks to everyone, especially @peterkok.bsky.social @jhaarsma.bsky.social

📜🎉 I'm happy to share that my review of clinical research investigating aperiodic neural activity is now published! It examines 177 reports of aperiodic activity in clinical disorders summarizing findings, discussion topics, & making some recommendations! onlinelibrary.wiley.com/doi/10.1111/...

The final bit of work from my PhD just got published at JOV! We looked at similarity judgements made for naturalistic image patches, and whether these are predicted by simple image statistics… (spoiler: yep!) Link to paper: doi.org/10.1167/jov.... 1/11

Long time in the making: our preprint of survey study on the diversity with how people seem to experience #mentalimagery. Suggests #aphantasia should be redefined as absence of depictive thought, not merely "not seeing". Some more take home msg: #psychskysci #neuroscience doi.org/10.1101/2025...

We present our preprint on ViV1T, a transformer for dynamic mouse V1 response prediction. We reveal novel response properties and confirm them in vivo. With @wulfdewolf.bsky.social, Danai Katsanevaki, @arnoonken.bsky.social, @rochefortlab.bsky.social. Paper and code at the end of the thread! 🧵1/7

Happy to share a new preprint in which @paulbuerkner.com and I introduce a novel model-based approach for precisely estimating the onset and offset of M/EEG effects! www.biorxiv.org/content/10.1...

🚨Pre-print of some cool data from my PhD days! doi.org/10.1101/2025... ☝️Did you know that visual surprise is (probably) a domain-general signal and/or operates at the object-level? ✌️Did you also know that the timing of this response depends on the specific attribute that violates an expectation?

New paper in Imaging Neuroscience, Generation of surrogate brain maps preserving spatial autocorrelation through random rotation of geometric eigenmodes direct.mit.edu/imag/article... Produces surrogates for null hypothesis testing of nonlinear effects within and correlations between brain maps

Out now @cp-trendscognsci.bsky.social, w/ @akalt.bsky.social & @drmattdavis.bsky.social. Are sensory sampling rhythms fixed by intrinsically-determined processes, or do they couple to external structure? Here we highlight the incompatibility between these accounts and propose a resolution [1/6]

New preprint from the lab! We tested for effects of learning scene-object pairings on distributed patterns of EEG signals. We report clear effects on ERPs but not object decoding performance. Led by Morgan Kikkawa w/Marta Garrido www.biorxiv.org/content/10.1...

"The finding of statistical significance is perhaps the least important attribute of a good experiment...." David Lykken (1968). Statistical significance in psychological research. Psychological Bulletin. doi.org/10.1037/h002...

New paper out in @plosbiology.org w/ Charlie, @phil-johnson.bsky.social, Ella, and Hinze 🎉 We track moving stimuli via EEG, find evidence that motion is extrapolated across distinct stages of processing + show how this effect may emerge from a simple synaptic learning rule! tinyurl.com/2szh6w5c

Info theory offers powerful measures for capturing complexity & interaction among elements of a complex system, like the brain! 🧠 Here's our new unified reference for key info-theoretic time series measures ft. 📊 visuals, ➗equations, & 💬descriptions: arxiv.org/abs/2505.13080

Excited to share my PhD paper! In it, we use targeted 2-photon optogenetic stimulation to determine how V1 activity is read-out in a detection task. We found that network influence, not visual coding properties, predicted the impact of ensembles on behavior - contradicting our expectations (1/5).