能源效率作为预测编码的规范性解释
1Psychology Department, University of Montreal, Montreal, QC, Canada.
Patterns (New York, N.Y.)
|January 29, 2024
概括
节能的人工神经网络自发地开发出预测编码. 这一发现表明,大脑可能会使用预测编码来优化其能源消耗.
科学领域:
- 计算神经科学是一种计算神经科学.
- 人工智能的人工智能是人工智能.
- 信息理论是信息理论.
背景情况:
- 预测编码是解释大脑功能的一个突出的理论,它提出大脑不断生成关于感官输入的预测,并根据预测错误更新它们.
- 在生物系统中预测编码的出现背后的计算原理和进化优势仍然是活跃研究的领域.
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