Publications by authors named "Amos W H Lim"

Background: Diabetes mellitus is the most challenging and fastest-growing global public health concern. Approximately 10.5% of the global adult population is affected by diabetes, and almost half of them are undiagnosed.

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Article Synopsis
  • The study combines deep learning and reinforcement learning (RL) to investigate how reward-based learning and decision-making function in both humans and animals.
  • Researchers trained deep RL agents and mice on the same sensorimotor task, comparing the learning patterns of their neural networks.
  • Findings showed that the representation of task performance in RL agents mirrored the neural activity in the posterior parietal cortex of mice, suggesting similarities between artificial and biological systems in processing complex tasks.
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The ability to maintain relevant information on a daily basis is negatively impacted by aging. However, the neuronal mechanism manifesting memory persistence in young animals and memory decline in early aging is not fully understood. A novel event, when introduced around encoding of an everyday memory task, can facilitate memory persistence in young age but not in early aging.

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