Computational anatomy : the cerebellar microzone computation
(2025) In Oxford open neuroscience 4.- 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... (More)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
(Less)
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.
- author
- Gilbert, Mike
and Rasmussen, Anders
LU
- organization
- publishing date
- 2025
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Oxford open neuroscience
- volume
- 4
- article number
- kvaf001
- external identifiers
-
- pmid:40401259
- ISSN
- 2753-149X
- DOI
- 10.1093/oons/kvaf001
- language
- English
- LU publication?
- yes
- additional info
- © The Author(s) 2025. Published by Oxford University Press.
- id
- f4795787-49b3-4ecd-8216-9db54154ea7d
- date added to LUP
- 2025-05-26 08:14:05
- date last changed
- 2025-05-26 08:59:24
@article{f4795787-49b3-4ecd-8216-9db54154ea7d, abstract = {{<p>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<br> 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.<br> </p>}}, author = {{Gilbert, Mike and Rasmussen, Anders}}, issn = {{2753-149X}}, language = {{eng}}, series = {{Oxford open neuroscience}}, title = {{Computational anatomy : the cerebellar microzone computation}}, url = {{http://dx.doi.org/10.1093/oons/kvaf001}}, doi = {{10.1093/oons/kvaf001}}, volume = {{4}}, year = {{2025}}, }