Lars C. Reining

Lars C. Reining

@lreining.bsky.social

PhD Student @ Centre for Cognitive Science, TU Darmstadt

27 followers21 following6 posts

Lars C. Reining
@lreining.bsky.social

Happy to share our new paper in JOV! 🎉 MooneyMaker automates the creation of ambiguous Mooney images, so you don’t have to create them manually. Thread in the original post. doi.org/10.1167/jov.... Thanks to Thabo Matthies, Luisa Haussner, Rabea Turon and @tsawallis.bsky.social!

doi.orgMooneyMaker: A Python package to create ambiguous two-tone images | JOV | ARVO JournalsPurchase this article with an account.
Tom Wallis@tsawallis.bsky.social

What object or item is depicted in this image?

Lars C. Reining reposted

Ben Beilharz
@engramm.ing

Hey @ecvp.bsky.social we got twice the fun for you today (order of visit recommended): T5AM6 Swantje will talk about Dead Leaves stimuli with which you can model natural image statistics. T5AM1 @lreining.bsky.social will talk about how to segment these dead leaves, testing NNs for optimality.

Tom Wallis@tsawallis.bsky.social

TU Darmstadt's Perception Lab is at #ECVP2026 in force. We hope you can make it to see our work! @engramm.ing @lreining.bsky.social @lschmittwilken.bsky.social

Lars C. Reining
@lreining.bsky.social

Excited this is finally out! I am happy to have built this together with Rabea Turon, @tsawallis.bsky.social and all the others!🎉

Tom Wallis@tsawallis.bsky.social

New preprint! Have you ever wanted to measure psychometric functions in high-dimensional stimulus spaces, but realised that this is infeasible? We present and validate a technique to adaptively estimate psychometric functions for stimulus spaces up to 50 dimensions. www.biorxiv.org/content/10.6...

biorxiv.orgAdaptive experiments in high-dimensional feature spaces: A particle filtering approachBehavioral experiments are often infeasible when stimulus spaces have many dimensions or when testing time is limited. One way to address this challenge is adaptive stimulus selection, where informati...

Lars C. Reining reposted

Constantin Rothkopf
@c-rothkopf.bsky.social

@lreining.bsky.social presented the talk 'Regularization more than representational capacity drives heuristic discovery in Bounded Meta-Learned Inference' at #cogsci2026. The work, together with Finn Radatz & Nora Cremille came out of a course project in our MSc Cognitive Science program.

Lars C. Reining
@lreining.bsky.social

I'm incredibly happy to attend #CogSci2026 conference in Rio de Janeiro🌴🥥☀️! Tomorrow at 11:50 I'll give a talk showing that regularization drives heuristic discovery in Bounded Meta-Learned Inference more than representational capacity. Find me in Vidigal ABC!

Lars C. Reining reposted

Ben Beilharz
@engramm.ing

Good morning #ECVP! Today, two of my colleagues are presenting their posters in the morning and afternoon session 🎉 Lina will introduce you to (mismatching) causal relationships and @lreining.bsky.social will introduce you to MooneyMaker, a Python package to create ambiguous two-tone images.

Lars C. Reining reposted

Tom Wallis
@tsawallis.bsky.social

New paper from my lab, with stellar TU Darmstadt Master student @lreining.bsky.social (this was Lars' Bachelor thesis!): “A psychophysical evaluation of techniques for Mooney image generation”. peerj.com/articles/180...

peerj.comA psychophysical evaluation of techniques for Mooney image generationMooney images can contribute to our understanding of the processes involved in visual perception, because they allow a dissociation between image content and image understanding. Mooney images are gen...

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