大脑有多深? 浅层大脑假说是一个假设.
Mototaka Suzuki1, Cyriel M A Pennartz2, Jaan Aru3
1Department of Cognitive and Systems Neuroscience, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, The Netherlands. mototaka@gmail.com.
Nature reviews. Neuroscience
|October 27, 2023
概括
当前的深度学习模型忽略了皮质下输入,与大脑不同. 浅层大脑假说建议将并行处理与层次性皮质网络集成在一起,以实现更高效的神经网络计算.
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.
- 神经生物学 神经生物学 神经生物学
背景情况:
- 深度学习和预测编码模型主要使用层次推理.
- 神经生物学证据显示,皮层下与所有皮层区域都有直接的连接,这挑战了纯粹的层次模型.
研究的目的:
- 提出浅层大脑假说,将层次性皮质处理与平行皮质下贡献整合起来.
- 突出当前深度学习架构可能错过的计算原则.
主要方法:
- 神经解剖学和计算架构的概念分析.
- 拟议的浅层大脑架构与深层次模型的比较.
主要成果:
- 当前的层次模型可能错过了基本的大脑计算原理.
- 一个浅层架构利用皮质微电路和thalamo-cortical循环.
结论:
- 浅层大脑假说提供了一个更具生物学可信性和潜在更高效的计算框架.
- 这个模型更好地解释了哺乳动物大脑的快速和灵活的能力,与深层次结构相比.
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