Computational anatomy: the cerebellar microzone computation.

Oxford open neuroscience Pub Date : 2025-05-16 eCollection Date: 2025-01-01 DOI:10.1093/oons/kvaf001
Mike Gilbert, Anders Rasmussen
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Abstract

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 in silico. 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.

计算解剖学:小脑微区计算。
小脑是一个很大的大脑结构。小脑的大部分质量和体积是由小脑皮层构成的。小脑皮层的外层在功能上被分成细长的条状,称为微区。我们认为,小脑微区计算是简单的单位计算和解剖学的被动效应的集合,我们在计算机上重建了独立的和非学习的。这很可能导致意见两极分化。在传统观点中,小脑的数据处理(简单地说)是习得性突触变化的结果。然而,这很难与速率信息在小脑信号中线性保守的证据相一致。我们提出了在线性通信的光细胞形态和网络结构的另一种解释。并行纤维突触记忆在网络计算中具有支持作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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