#MultilingualCritical Author: @bradpostle.bsky.social Publisher: Wiley (' @wiley.com ')

New preprint w/ Malin Styrnal & @martinhebart.bsky.social Have you ever computed noise ceilings to understand how well a model performs? We wrote a clarifying note on a subtle and common misapplication that can make models appear quite a lot better than they are. osf.io/preprints/ps...

Very much looking forward to #CCN2025! Would love to see you at our lab's talks and posters, and meet me at the panel discussion in the Algonauts session on Wednesday!

🚨PhD opportunity Fall/Winter 2025🚨 Join me in Geneva Switzerland #unige to learn more about colour perception. Using neuroimaging & computational modelling, you'll be working with an international & interdisciplinary team to understand how we transform light into a colourful world!🧠👁️🌈 #neurojobs

🙋 Hello Neuro people! After switching platforms, I thought I should reintroduce myself: I’m a PhD student in cognitive neuroscience. I use fMRI to study how the brain represents the things we see. #neuroskyence #neuroscience (1/6)

Really happy to see this out! We show that behavioral judgments of the purpose and social content of observed actions capture a surprisingly large portion of variance in neural representational geometry throughout the action observation network and in ventral temporal cortex: doi.org/10.1101/2024...

Behaviorally-relevant features of observed actions dominate cortical representational geometry in natural vision

We effortlessly extract behaviorally relevant information from dynamic visual input in order to understand the actions of others. In the current study, we develop and test a number of models to better...

doi.org

Jane Han@jane-han.bsky.social · 2y ago

🚨 New paper out with @samnastase.bsky.social and @haxbylab.bsky.social! We use representational similarity analysis to test how well behavioral, semantic, and visual models capture cortical representational geometries when viewing naturalistic action videos: doi.org/10.1101/2024...

I promised to write about my thoughts on the status of the field of neuroAI, some of the big challenges we are facing, and the approaches we are taking to address them. This is super selective on the topic of finding a good model but in my view it affects the field as a whole. Here we go. 🧵

These dimensions are interpretable and capture both perceptual and conceptual properties underlying human similarity judgments. Here, @olivercontier.bsky.social ran an encoding model to identify where in the brain he would find information about these dimensions. 7/n www.nature.com/articles/s41...

Revealing the multidimensional mental representations of natural objects underlying human similarity judgements - Nature Human Behaviour

Hebart et al. developed a computational model of similarity judgements for 1,854 natural objects. The model accurately predicted similarity and revealed 49 interpretable dimensions that reflect both p...

nature.com

How does our brain allow us to make sense of our visual world? Work led by @olivercontier.bsky.social w/ Chris Baker now out in Nature Human Behaviour provides support for a theoretical framework of behaviorally-relevant selectivity beyond high-level categorization. 🧵 www.nature.com/articles/s41...

Distributed representations of behaviour-derived object dimensions in the human visual system - Nature Human Behaviour

Contier et al. show that dimensions are superior to categories at predicting brain responses to visual objects.

nature.com