36 citations · 58 across the 5 of their papers we have counts for
5 papers
Transformers self-organize like newborn visual systems when trained in prenatal worlds
Lalit Pandey, Samantha M. W. Wood, Justin N. Wood
Do transformers learn like brains? A key challenge in addressing this question is that transformers and brains are trained on fundamentally different data. Brains are initially "tr…
Object permanence in newborn chicks is robust against opposing evidence
Justin N. Wood, Tomer D. Ullman, Brian W. Wood +2
Newborn animals have advanced perceptual skills at birth, but the nature of this initial knowledge is unknown. Is initial knowledge flexible, continuously adapting to the statistic…
Are Vision Transformers More Data Hungry Than Newborn Visual Systems?
Lalit Pandey, Samantha M. W. Wood, Justin N. Wood
Vision transformers (ViTs) are top performing models on many computer vision benchmarks and can accurately predict human behavior on object recognition tasks. However, researchers…
A newborn embodied Turing test for view-invariant object recognition
Denizhan Pak, Donsuk Lee, Samantha M. W. Wood +1
Recent progress in artificial intelligence has renewed interest in building machines that learn like animals. Almost all of the work comparing learning across biological and artifi…
Development of collective behavior in newborn artificial agents
Donsuk Lee, Samantha M. W. Wood, Justin N. Wood
Collective behavior is widespread across the animal kingdom. To date, however, the developmental and mechanistic foundations of collective behavior have not been formally establish…