Gilbert Mike, Rasmussen Anders
School of Psychology, College of Life and Environmental Sciences, University of Birmingham, Birmingham B15 2TT, United Kingdom.
Department of Experimental Medical Science, Lund University, BMC F10, 22184 Lund, Sweden.
Oxf Open Neurosci. 2025 May 16;4:kvaf001. doi: 10.1093/oons/kvaf001. eCollection 2025.
The cerebellum is a large brain structure. Most of the mass and volume of the cerebellum is made up by the cerebellar cortex. The outer layer of the cerebellar cortex is divided functionally into long, thin strips called microzones. We argue that the cerebellar microzone computation is the aggregate of simple unit computations and a passive effect of anatomy, unaided and unlearned, which we recreate This is likely to polarise opinion. In the traditional view, data processing by the cerebellum (stated very briefly) is the effect of learned synaptic changes. However, this has become difficult to reconcile with evidence that rate information is linearly conserved in cerebellar signalling. We present an alternative interpretation of cell morphologies and network architecture in the light of linear communication. Parallel fibre synaptic memory has a supporting role in the network computation.
小脑是一个大型脑结构。小脑的大部分质量和体积由小脑皮质构成。小脑皮质的外层在功能上被划分为称为微区的长而细的条带。我们认为，小脑微区计算是简单单元计算的总和，是一种未经辅助和学习的解剖学被动效应，我们对其进行了重现。这可能会使观点两极分化。在传统观点中，（简要地说）小脑的数据处理是学习到的突触变化的结果。然而，这已难以与速率信息在小脑信号传导中线性守恒的证据相协调。我们根据线性通信对细胞形态和网络架构提出了一种替代性解释。平行纤维突触记忆在网络计算中起辅助作用。
