神经网络和感知学习
Misha Tsodyks1, Charles Gilbert
1Department of Neurobiology, Weizmann Institute, Rehovot 76100, Israel. misha@weizmann.ac.il
Nature
|October 16, 2004
概括
感官知觉是通过经验来学习和修改的. 新模型应该包括动态的大脑过程,挑战感官信息处理的静态观点.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 感知 感知 感知 感知
背景情况:
- 感官感知是一种学习的能力,通过经验来改进.
- 目前的感知学习理论模型经常忽视神经电路机制.
- 现有的模型可能无法完全捕捉感官处理的动态性质.
研究的目的:
- 突出目前感知学习模型的局限性.
- 为了强调结合皮质电路动态的必要性.
- 建议从静态转向动态的感官处理模型.
主要方法:
- 对感知学习的理论模型的审查.
- 分析经验在修改大脑策略中的作用.
- 概念整合上下皮层调制的概念整合.
主要成果:
- 感知学习涉及到感官处理的潜意识精细化.
- 经验动态地改变了大脑的感知策略.
- 上向下调节皮质功能对于学习至关重要.
结论:
- 未来的神经网络模型必须考虑动态皮质变化.
- 感知学习挑战了以前对静态,前感官处理的概念.
- 了解动态过程是推进感知模型的关键.
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