科学家发明新的假设,做大脑吗?
Nir Fresco1, Lotem Elber-Dorozko2,3
1Departments of Cognitive & Brain Sciences and Philosophy, Ben-Gurion University of the Negev.
Cognitive science
|January 10, 2024
概括
在预测处理中的新贝叶斯假设是具有挑战性的. 模型要么缺乏大脑实现,要么无法解释关键的认知功能,这给贝叶斯推理带来了一个扩展问题.
科学领域:
- 认知科学 认知科学
- 神经科学是一个神经科学.
- 计算神经科学是一种神经科学.
背景情况:
- 预测处理为使用贝叶斯推理的认知提供了一个统一的框架.
- 假设生成对贝叶斯推理至关重要,但对预测处理构成挑战.
- 现有的假设生成模型分为两个类别:认知层面和神经生物学架构启发.
研究的目的:
- 检查在预测处理框架内如何生成新的贝叶斯假设.
- 分析当前认知层面和神经生物学模型假设生成的局限性.
- 识别扩大预测处理的挑战,以解释复杂的认知能力.
主要方法:
- 审查和分析认知层面的假设生成模型.
- 检查神经生物学架构启发的假设生成模型.
- 对两种模型类型的优缺点进行比较分析.
主要成果:
- 认知层面的模型缺乏明确的大脑实现,依赖于外部假设.
- 神经生物学模型虽然受到大脑的启发,但却难以解释分类和少量学习.
- 大脑可实现的模型和解释广泛认知能力的模型之间存在很大的差距.
结论:
- 预测处理框架在生成新假设方面面临着"扩展"的挑战.
- 弥合认知和神经生物学模型之间的差距对于推进预测处理至关重要.
- 未来的研究必须在贝叶斯框架内将类似于大脑的机制与人类认知的全谱相协调.
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