The Development of Invariant Object Recognition Requires Visual Experience With Temporally Smooth Objects. - Justin N. Wood; Samantha M. W. Wood (Cogn. Sci., 2018)

Reverse engineering the origins of visual intelligence. - Justin N. Wood; Donsuk Lee; Brian Wood; Samantha M. W. Wood (CogSci, 2020)

Distorting Face Representations in Newborn Brains. - Samantha M. W. Wood; Justin N. Wood (Cogn. Sci., 2021)

Development of collective behavior in newborn artificial agents. - Donsuk Lee; Samantha M. W. Wood; Justin N. Wood (CoRR, 2021)

A newborn embodied Turing test for view-invariant object recognition. - Denizhan Pak; Donsuk Lee; Samantha Marie Waters Wood; Justin N. Wood (CogSci, 2023)

Are Vision Transformers More Data Hungry Than Newborn Visual Systems? - Lalit Pandey; Samantha M. W. Wood; Justin N. Wood (NeurIPS, 2023)

A Newborn Embodied Turing Test for Comparing Object Segmentation Across Animals and Machines. - Manju Garimella; Denizhan Pak; Justin N. Wood; Samantha Marie Waters Wood (ICLR, 2024)

Parallel development of object recognition in newborn chicks and deep neural networks. - Lalit Pandey; Donsuk Lee; Samantha M. W. Wood; Justin N. Wood (PLoS Comput. Biol., 2024)