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A study by scientists at the University of Michigan, published in *Nature Communications*, found that our sense of the passage of time may be rooted in neurons’ innate properties, rather than learning alone. Artificial neural networks configured with suitable settings produced regular temporal patterns before training, while experiments on miniature brain organoids observed sequential neural activity in the absence of sensory experience. The researchers said learning may refine these patterns, but findings based on mathematical models do not conclusively establish how the brain works and need to be compared directly with neural data.
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