Proud dad, Prof. of Computational Cognitive Neuroscience, author of The Decoding Toolbox, founder of https://t.co/hWZCF7XuMU @ martinhebart.bsky. social
Jun 28 β’ 15 tweets β’ 5 min read
What makes humans similar or different to AI? In a new study, led by @florianmahner and @lukas_mut and w/ @umuguc, we took a deep look at the factors underlying their representational alignment, with surprising results. π§΅arxiv.org/abs/2406.19087
How can we compare human and AI representation? A popular approach is studying representational similarities. But this method only informs about the *degree* of alignment. Without clear hypotheses, we do not know *what it actually is* that makes them similar or different. 2/n
Dec 2, 2022 β’ 10 tweets β’ 4 min read
Our visual world contains π₯πππππ€, like plants, people, animals, or vehicles. But there is also π€π₯π¦ππ, what these things are made of, like glass, metal, or hair.
But how do we make sense of stuff? How do we structure it in our minds? 𧡠1/n
Let's start with the challenges faced when trying to answer the question of how we make sense of materials:
2/n
Jun 11, 2021 β’ 18 tweets β’ 3 min read
Ok, since #IchbinHanna is trending, for everyone who doesn't know the German academic system and how messed up it is because of its weird laws and rules, here's a short version. 1/n
(disclaimer: I might be getting some things wrong myself, and some of this may reflect my view on things - please correct me if I'm wrong)
Oct 12, 2020 β’ 14 tweets β’ 5 min read
I'm very happy to announce that our paper "Revealing the multidimensional mental representations of natural objects underlying human similarity judgements" has now been published in @NatureHumBehav . nature.com/articles/s4156β¦
What did we learn from this work? A thread 1/n
To recognize the objects around us, it is widely believed that we map our sensory inputs to an internal representations of objects. Perceived object similarity has been central to understanding mental object representations. But what determines this similarity? 2/n
Oct 16, 2019 β’ 7 tweets β’ 2 min read
THINGS: A database of 1,854 object concepts and more than 26,000 naturalistic object images doi.org/10.1371/journaβ¦
All concepts, images, metadata (e.g. 27 empirically-determined high-level categories) available here: osf.io/jum2f/
THREAD 1/7
In psychology and neuroscience experiments and in AI research, we often choose objects and categories in an ad hoc manner, sometimes without knowing if observers recognize them, categorize objects the same way, or if the categories are representative or reflect sampling bias. 2/7
