Professor MARK HUMPHRIES Mark.Humphries@nottingham.ac.uk
PROFESSOR OF COMPUTATIONAL NEUROSCIENCE
The computational bottleneck of basal ganglia output (and what to do about it)
Humphries, Mark D
Authors
Abstract
What the basal ganglia do is an oft-asked question; answers range from the selection of actions to the specification of movement to the estimation of time. Here I argue that \emph{how} the basal ganglia do what they do is a less-asked but equally important question. I show that the output regions of the basal ganglia create a stringent computational bottleneck, both structurally, because they have far fewer neurons than do their target regions, and dynamically, because of their tonic, inhibitory output. My proposed solution to this bottleneck is that the activity of an output neuron is setting the weight of a basis function, a function defined by that neuron’s synaptic contacts. I illustrate how this may work in practice, allowing basal ganglia output to shift cortical dynamics and control eye movements via the superior colliculus. This solution can account for troubling issues in our understanding of the basal ganglia: why we see output neurons increasing their activity during behaviour, rather than only decreasing as predicted by theories based on disinhibition, and why the output of the basal ganglia seems to have so many codes squashed into such a tiny region of the brain.
Citation
Humphries, M. D. (in press). The computational bottleneck of basal ganglia output (and what to do about it). eNeuro,
Journal Article Type | Article |
---|---|
Acceptance Date | Oct 16, 2024 |
Deposit Date | Oct 18, 2024 |
Journal | eNeuro |
Electronic ISSN | 2373-2822 |
Publisher | Society for Neuroscience |
Peer Reviewed | Peer Reviewed |
Public URL | https://nottingham-repository.worktribe.com/output/40588709 |
This file is under embargo due to copyright reasons.
You might also like
Tracking subjects' strategies in behavioural choice experiments at trial resolution.
(2024)
Journal Article
Activity Subspaces in Medial Prefrontal Cortex Distinguish States of the World
(2022)
Journal Article
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search