Wenjie Li @CogSci

RSVP for CCN 2025 Local Meetup @ CMU Join us for a local watch‑party of the Cognitive Computational Neuroscience (CCN) Conference at Carnegie Mellon University! We’ll stream select live talks (and play key recorded sessions). Free snacks...

#CCN2025 is almost here! Can’t make it to Amsterdam? Join our watch party in Pittsburgh! 🎉Hang out with fellow neuroscientists from @cmu-neuroscience.bsky.social, Pitt, and @the-cnbc.bsky.social for livestreams, lively discussions, and after-hours fun. RSVP by Aug 11: forms.gle/HFGRKiQ9JSbX...

(3/3) This suggests more abstract concepts need more data and capacity to process it, potentially revealing that uniquely human abstraction emerged through expanded information capacity. Swing by to chat about the poster or anything: representation, relations, abstraction, symbols, compositionality!

(2/3) We compared 1,691 neural networks with humans, children, and monkeys on abstraction tasks. As abstraction demands grow, networks diverge from adults and mirror children/primates. Model scale and training data are key predictors, esp for relational tasks where only 0.5% of models succeeded.

(1/3) Presenting at #CogSci2025 TODAY (Aug 2; Poster P3-W-211): "Expanded Information Capacity in Neural Networks Predicts the Cognitive Evolution Towards Uniquely Human Abstraction":

(2/3) We compared 1,691 neural networks with humans, children, and monkeys on abstraction tasks. As abstraction demands grow, networks diverge from adults and mirror children/primates. Model scale and training data are key predictors, esp for relational tasks where only 0.5% of models succeeded.