Gap Junctions May Have A Computational Function In The Cerebellum : A Hypothesis
Gilbert, Mike and Rasmussen, Anders LU
(2024)
In Cerebellum
- Abstract
In the cerebellum, granule cells make parallel fibre contact on (and excite) Golgi cells and Golgi cells inhibit granule cells, forming an open feedback loop. Parallel fibres excite Golgi cells synaptically, each making a single contact. Golgi cells inhibit granule cells in a structure called a glomerulus almost exclusively by GABA spillover acting through extrasynaptic GABAA receptors. Golgi cells are connected dendritically by gap junctions. It has long been suspected that feedback contributes to homeostatic regulation of parallel fibre signals activity, causing the fraction of the population that are active to be maintained at a low level. We present a detailed neurophysiological and computationally-rendered model of... (More)
In the cerebellum, granule cells make parallel fibre contact on (and excite) Golgi cells and Golgi cells inhibit granule cells, forming an open feedback loop. Parallel fibres excite Golgi cells synaptically, each making a single contact. Golgi cells inhibit granule cells in a structure called a glomerulus almost exclusively by GABA spillover acting through extrasynaptic GABAA receptors. Golgi cells are connected dendritically by gap junctions. It has long been suspected that feedback contributes to homeostatic regulation of parallel fibre signals activity, causing the fraction of the population that are active to be maintained at a low level. We present a detailed neurophysiological and computationally-rendered model of functionally grouped Golgi cells which can infer the density of parallel fibre signals activity and convert it into proportional modulation of inhibition of granule cells. The conversion is unlearned and not actively computed; rather, output is simply the computational effect of cell morphology and network architecture. Unexpectedly, the conversion becomes more precise at low density, suggesting that self-regulation is attracted to sparse code, because it is stable. A computational function of gap junctions may not be confined to the cerebellum.
(Less)
- author
- Gilbert, Mike
and Rasmussen, Anders
LU
- organization
- publishing date
- 2024
- type
- Contribution to journal
- publication status
- in press
- subject
- keywords
- Cerebellum, Computational, Gap Junction, Golgi Cell, Granule Cell, Hypothesis
- in
- Cerebellum
- publisher
- Informa Healthcare
- external identifiers
-
- pmid:38499814
- scopus:85187926885
- ISSN
- 1473-4222
- DOI
- 10.1007/s12311-024-01680-3
- language
- English
- LU publication?
- yes
- additional info
- Publisher Copyright: © The Author(s) 2024.
- id
- 866e6f22-3b6c-4c79-b26d-29db1ed02614
- date added to LUP
- 2024-03-25 08:33:22
- date last changed
- 2024-04-22 10:19:39
@article{866e6f22-3b6c-4c79-b26d-29db1ed02614,
abstract = {{<p>In the cerebellum, granule cells make parallel fibre contact on (and excite) Golgi cells and Golgi cells inhibit granule cells, forming an open feedback loop. Parallel fibres excite Golgi cells synaptically, each making a single contact. Golgi cells inhibit granule cells in a structure called a glomerulus almost exclusively by GABA spillover acting through extrasynaptic GABA<sub>A</sub> receptors. Golgi cells are connected dendritically by gap junctions. It has long been suspected that feedback contributes to homeostatic regulation of parallel fibre signals activity, causing the fraction of the population that are active to be maintained at a low level. We present a detailed neurophysiological and computationally-rendered model of functionally grouped Golgi cells which can infer the density of parallel fibre signals activity and convert it into proportional modulation of inhibition of granule cells. The conversion is unlearned and not actively computed; rather, output is simply the computational effect of cell morphology and network architecture. Unexpectedly, the conversion becomes more precise at low density, suggesting that self-regulation is attracted to sparse code, because it is stable. A computational function of gap junctions may not be confined to the cerebellum.</p>}},
author = {{Gilbert, Mike and Rasmussen, Anders}},
issn = {{1473-4222}},
keywords = {{Cerebellum; Computational; Gap Junction; Golgi Cell; Granule Cell; Hypothesis}},
language = {{eng}},
publisher = {{Informa Healthcare}},
series = {{Cerebellum}},
title = {{Gap Junctions May Have A Computational Function In The Cerebellum : A Hypothesis}},
url = {{http://dx.doi.org/10.1007/s12311-024-01680-3}},
doi = {{10.1007/s12311-024-01680-3}},
year = {{2024}},
}