Two-month-old babies categorize objects earlier than thought

Neuroscientists at Trinity College Dublin have found that babies as young as two months old can already sort visual information into categories like animals and toys. Using brain scans and AI, the study reveals early foundations of perception. This challenges previous assumptions about infant cognition.

New research published in Nature Neuroscience demonstrates that infants begin organizing the world around them much sooner than expected. Led by Dr. Cliona O'Doherty at Trinity College Dublin's Cusack Lab, the study involved 130 two-month-old babies from Dublin's Coombe and Rotunda Hospitals. Each infant underwent functional MRI (fMRI) scans while lying on a soft beanbag, wearing sound-cancelling headphones, and viewing colorful images from 12 categories, including cats, birds, rubber ducks, shopping carts, and trees. The sessions lasted 15-20 minutes to maintain attention.

Researchers combined these brain activity patterns with artificial intelligence models to decode how infants represent and categorize visuals. "Although at two months, infants' communication is limited by a lack of language and fine motor control, their minds were already not only representing how things look, but figuring out to which category they belonged," Dr. O'Doherty explained. This marks the largest longitudinal fMRI study of awake infants to date.

Team leader Rhodri Cusack, Thomas Mitchell Professor of Cognitive Neuroscience at Trinity, highlighted the broader applications: "This study... opens up a whole new way to measure what babies are thinking at a very early age. It also highlights the potential for neuroimaging and computational models to be used as a diagnostic tool in very young infants." Co-author Anna Truzzi, now at Queen's University Belfast, noted how recent advances in AI and neuroimaging enabled these insights into the first year of rapid brain development.

The findings could guide early-years education, support for neurodevelopmental conditions, and more efficient AI designs. Neonatologist Eleanor Molloy emphasized the need to understand disorders affecting early brain growth, where awake fMRI shows promise. The work, detailed in a 2026 Nature Neuroscience paper (DOI: 10.1038/s41593-025-02187-8), underscores the richness of infant brain function from the outset.

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Realistic depiction of a rhesus macaque in a Princeton lab with brain overlay showing prefrontal cortex assembling reusable cognitive 'Lego' modules for flexible learning.
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Princeton study reveals brain’s reusable ‘cognitive Legos’ for flexible learning

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Neuroscientists at Princeton University report that the brain achieves flexible learning by reusing modular cognitive components across tasks. In experiments with rhesus macaques, researchers found that the prefrontal cortex assembles these reusable “cognitive Legos” to adapt behaviors quickly. The findings, published November 26 in Nature, underscore differences from current AI systems and could eventually inform treatments for disorders that impair flexible thinking.

A common belief that the frontal lobe fully develops by age 25 has been challenged by recent neuroscience findings. New brain-imaging studies reveal that key neural wiring and network efficiency evolve well into the early 30s. This extended timeline highlights ongoing maturation processes in the brain.

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Researchers at Rutgers Health have identified how the brain integrates fast and slow processing through white matter connections, influencing cognitive abilities. Published in Nature Communications, the study analyzed data from nearly 1,000 people to map these neural timescales. Variations in this system may explain differences in thinking efficiency and hold promise for mental health research.

Researchers behind a new review in Frontiers in Science argue that rapid progress in artificial intelligence and brain technologies is outpacing scientific understanding of consciousness, raising the risk of ethical and legal mistakes. They say developing evidence-based tests for detecting awareness—whether in patients, animals or emerging artificial and lab-grown systems—could reshape medicine, welfare debates and technology governance.

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Researchers affiliated with MIT argue that transcranial focused ultrasound—a noninvasive technique that can modulate activity in deep brain regions—could enable more direct, cause-and-effect tests of how conscious experiences arise. In a “roadmap” review in *Neuroscience & Biobehavioral Reviews*, they describe experimental approaches aimed at distinguishing between competing accounts of where and how awareness is generated in the brain.

Preliminary results from a study at Falu lasarett indicate that premature babies can be discharged earlier from the neonatal unit when parents handle feeding based on the child's hunger signals. The research, led by Högskolan Dalarna, is Sweden's first on responsive feeding. One mother, Maya Johannesson, says the method felt natural for her and her son Milton.

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A new brain imaging study has found that recalling facts and personal experiences activates nearly identical neural networks, challenging long-held views on memory systems. Researchers from the University of Nottingham and University of Cambridge used fMRI scans on 40 participants to compare these memory types. The results, published in Nature Human Behaviour, suggest a rethink in how memory is studied and could inform treatments for Alzheimer's and dementia.

 

 

 

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