Modern brain data does not support the classic explanation for infant helplessness.
A new study suggests that babies’ brains are not as immature as previously believed; instead, they utilize their period of postnatal ‘helplessness’ to develop foundational models similar to those that drive generative Artificial Intelligence.
The study, led by a Trinity College Dublin neuroscientist and just published in the journal Trends in Cognitive Sciences, finds for the first time that the classic explanation for infant helplessness is not supported by modern brain data.
Compared to many animals, humans are helpless for a long time after birth. Many animals, such as horses and chickens, can walk on the day they are born. This protracted period of helplessness puts human infants at risk and places a huge burden on the parents, but surprisingly has survived evolutionary pressure.
Insights from a Cross-Species Study
“Since the 1960s scientists have thought that the helplessness exhibited by human babies is due to the constraints of birth. The belief was that with big heads human babies have to be born early, resulting in immature brains and a helpless period that extends up to one year of age. We wanted to find out why human babies were helpless for such a long period,” explains Professor Rhodri Cusack, Professor of Cognitive Neuroscience, and lead author of the paper.
The research team comprised Prof. Cusack, who measures the development of the infant brain and mind using neuroimaging; Prof. Christine Charvet, Auburn University, USA, who compares brain development across Translating Time, that equates corresponding ages across species to establish that human brains are more mature than many other species at birth,” says Prof. Charvet.
The researchers used brain imaging and found that many systems in the human infant’s brain are already functioning and processing the rich streams of information from the senses. This contradicts the long-held belief that many infant brain systems are too immature to function.
The team then compared learning in humans with the latest DOI: 10.1016/j.tics.2024.05.001
This research was supported by the European Research Council.
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