Rapid compensatory plasticity revealed by dynamic correlated activity in monkeys in vivo

To produce adaptive behavior, neural networks must balance between plasticity and stability. Computational work has demonstrated that network stability requires plasticity mechanisms to be counterbalanced by rapid compensatory processes. However, such processes have yet to be experimentally observed...

Full description

Saved in:

Bibliographic Details
Published in:	Nature neuroscience Vol. 26; no. 11; pp. 1960 - 1969
Main Authors:	Andrei, Ariana R., Akil, Alan E., Kharas, Natasha, Rosenbaum, Robert, Josić, Krešimir, Dragoi, Valentin
Format:	Journal Article
Language:	English
Published:	New York Nature Publishing Group US 01-11-2023 Nature Publishing Group
Subjects:	631/378/116/2393 631/378/3917 631/378/3920 Activity patterns Adaptation, Psychological Animal Genetics and Genomics Behavioral Sciences Biological Techniques Biomedical and Life Sciences Biomedicine Correlation Homeostasis - physiology Homeostatic plasticity Monkeys Neural networks Neural plasticity Neurobiology Neuronal Plasticity - physiology Neurons Neurons - physiology Neurosciences Plastic properties Plasticity Sleep and wakefulness Stability Visual cortex Visual Cortex - physiology Wakefulness
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Description
Summary:	To produce adaptive behavior, neural networks must balance between plasticity and stability. Computational work has demonstrated that network stability requires plasticity mechanisms to be counterbalanced by rapid compensatory processes. However, such processes have yet to be experimentally observed. Here we demonstrate that repeated optogenetic activation of excitatory neurons in monkey visual cortex (area V1) induces a population-wide dynamic reduction in the strength of neuronal interactions over the timescale of minutes during the awake state, but not during rest. This new form of rapid plasticity was observed only in the correlation structure, with firing rates remaining stable across trials. A computational network model operating in the balanced regime confirmed experimental findings and revealed that inhibitory plasticity is responsible for the decrease in correlated activity in response to repeated light stimulation. These results provide the first experimental evidence for rapid homeostatic plasticity that primarily operates during wakefulness, which stabilizes neuronal interactions during strong network co-activation. Neural networks must balance associative plasticity with rapid compensatory processes to maintain stable activity patterns. Andrei et al. provide in vivo evidence of a rapid homeostatic process that decreases network connectivity when excitatory neurons are synchronously activated.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	1097-6256 1546-1726 1546-1726
DOI:	10.1038/s41593-023-01446-w