We are SO excited to chat with Dr. Shari Liu (@shariliu.bsky.social) about her scientific journey and, most importantly, about her recent Nature Reviews paper entitled "How physical information is used to make sense of the psychological world"!
New ep! 🚨
In Part I of this 2-part episode, Jenny & Deon discuss connectionist modeling, developmental change, developmental tasks, one-hot vs. distributed representations, the give-N task, Bayesian models, Marr’s levels, & more. Stay tuned for Part II!
itsinnate.fireside.fm/38
If you're at all interest in computational modeling and number development, this will be the episode for you!
In case you missed our latest episode, check it out below!
Additional topics discussed:
• the strengths & weaknesses of large vs. small neural networks
• why small models still matter for theory development
• what a connectionist model of the give-N task might look like
• the role of realism in computational modeling
If this site ever goes down, you can now find us on Facebook!
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NEW EPISODE 🚨
Part II is here! Jenny & Deon continue their discussion of Bayesian models and number cognition, including how Lee and Sarnecka used the same Bayesian model to test two competing theories of how children acquire number knowledge.
itsinnate.fireside.fm/39