This paper was an awesome collaborative effort of a @fitngin.bsky.social working group. It provides a detailed review of how DNNs can be used to support dev neuro research @lauriebayet.bsky.social and I wrote the network modeling section about how DNNs can be used to test developmental theories 🧵

1/7 Can infants recognise the world around them? 👶🧠 As part of the FOUNDCOG project, we scanned 134 awake infants using fMRI. Published today in Nature Neuroscience, our research reveals 2-month-old infants already possess complex visual representations in VVC that align with DNNs.

Thanks to fellow defenders @clionaod.bsky.social, Marc'Aurelio Ranzato, and @charvetcj.bsky.social Defending the foundation model view of infant development www.sciencedirect.com/science/arti...

My paper with @stellalourenco.bsky.social ‬is now out in Science Advances! We found that children have robust object recognition abilities that surpass many ANNs. Models only outperformed kids when their training far exceeded what a child could experience in their lifetime doi.org/10.1126/scia...

Excited to share our new review in #AnnualReviews Psychology on the role of time in perceptual organization! doi.org/10.1146/annu...

Looking forward to #CCN2025! Please come say hi! On Monday, as part of the ‘From Child to Machine Learning’ Satellite sites.google.com/view/child2m... (3-6pm), I look forward to give a talk about our past work probing the hypothesis that visual degradations in early development may be adaptive.

1/ New paper out in @commsbio.nature.com, led by @marinv.bsky.social: doi.org/10.1038/s420...! Across several past studies, we showed how newborns' degraded vision may benefit human development and inspire more robust deep networks. We have referred to this as Adaptive Initial Degradations (AID).