需要在视觉处理模型中进行跨层次的代重新输入
Thomas M Spalek1, K P Unnikrishnan2, Vincent Di Lollo3
1Department of Psychology, Simon Fraser University, 8888 University Drive, Burnaby, British Columbia, V5A 1S6, Canada. tspalek@sfu.ca.
Psychonomic bulletin & review
|October 17, 2023
概括
大脑中的视觉信息处理主要使用重新进入的信号,而不仅仅是前途径. 新发现挑战现有模型,倡导在感知和认知中进行代,跨层次的重新进入原则.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 计算视觉 计算机视觉 计算机视觉
背景情况:
- 视觉信息处理的传统模型提出了一个前 (自下而上) 流.
- 神经解剖学和神经生理学证据越来越多地支持大脑区域之间的回入 (上下) 双向信号传输.
- 当前的计算模型往往忽视了重新进入的处理,偏好了前或内部级别的交互.
研究的目的:
- 提出经验发现,挑战视觉处理的feed-forward和内部层次的重新进入模型.
- 倡导向更全面的大脑功能模型的转变.
主要方法:
- 对五组实证发现的回顾.
- 对视觉信息处理现有理论框架的分析.
主要成果:
- 呈现的经验数据不能通过前或内部层次的重新进入原则来解释.
- 这些发现凸显了当前计算模型的局限性.
- 证据强烈支持大脑中双向信号的普遍性.
结论:
- 重新进入的处理,特别是跨层次的代信号,对于理解视觉感知和认知至关重要.
- 心理物理,生物和计算模型应该更新以纳入这些原则.
- 需要一个范式的转变来准确地代表大脑的信息流.
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