وكالة الأنباء القطرية
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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 depend on innate properties of neurons, not learning alone. Artificial neural networks with suitable initial configurations produced regular temporal patterns before training, and miniature brain organoids showed regular signals without sensory experience. By contrast, networks with random configurations did not produce these patterns even after intensive training. The researchers said learning may refine such patterns, but findings based on mathematical models alone do not establish how the brain works, underscoring the need to compare them directly with neural data.
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