Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Implications of variable synaptic weights for rate and temporal coding of cerebellar outputs

View ORCID ProfileShuting Wu, View ORCID ProfileAsem Wardak, View ORCID ProfileMehak M. Khan, Christopher H. Chen, View ORCID ProfileWade G. Regehr
doi: https://doi.org/10.1101/2023.05.25.542308
Shuting Wu
Department of Neurobiology, Harvard Medical School, Boston, MA 02115, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Shuting Wu
Asem Wardak
Department of Neurobiology, Harvard Medical School, Boston, MA 02115, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Asem Wardak
Mehak M. Khan
Department of Neurobiology, Harvard Medical School, Boston, MA 02115, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Mehak M. Khan
Christopher H. Chen
Department of Neurobiology, Harvard Medical School, Boston, MA 02115, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Wade G. Regehr
Department of Neurobiology, Harvard Medical School, Boston, MA 02115, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Wade G. Regehr
  • For correspondence: [email protected]
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Abstract

Purkinje cell (PC) synapses onto cerebellar nuclei (CbN) neurons convey signals from the cerebellar cortex to the rest of the brain. PCs are inhibitory neurons that spontaneously fire at high rates, and many uniform sized PC inputs are thought to converge onto each CbN neuron to suppress or eliminate firing. Leading theories maintain that PCs encode information using either a rate code, or by synchrony and precise timing. Individual PCs are thought to have limited influence on CbN neuron firing. Here, we find that single PC to CbN synapses are highly variable in size, and using dynamic clamp and modelling we reveal that this has important implications for PC-CbN transmission. Individual PC inputs regulate both the rate and timing of CbN firing. Large PC inputs strongly influence CbN firing rates and transiently eliminate CbN firing for several milliseconds. Remarkably, the refractory period of PCs leads to a brief elevation of CbN firing prior to suppression. Thus, PC-CbN synapses are suited to concurrently convey rate codes, and generate precisely-timed responses in CbN neurons. Variable input sizes also elevate the baseline firing rates of CbN neurons by increasing the variability of the inhibitory conductance. Although this reduces the relative influence of PC synchrony on the firing rate of CbN neurons, synchrony can still have important consequences, because synchronizing even two large inputs can significantly increase CbN neuron firing. These findings may be generalized to other brain regions with highly variable sized synapses.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
Back to top
PreviousNext
Posted May 25, 2023.
Download PDF
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Implications of variable synaptic weights for rate and temporal coding of cerebellar outputs
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Implications of variable synaptic weights for rate and temporal coding of cerebellar outputs
Shuting Wu, Asem Wardak, Mehak M. Khan, Christopher H. Chen, Wade G. Regehr
bioRxiv 2023.05.25.542308; doi: https://doi.org/10.1101/2023.05.25.542308
Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
Implications of variable synaptic weights for rate and temporal coding of cerebellar outputs
Shuting Wu, Asem Wardak, Mehak M. Khan, Christopher H. Chen, Wade G. Regehr
bioRxiv 2023.05.25.542308; doi: https://doi.org/10.1101/2023.05.25.542308

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Neuroscience
Subject Areas
All Articles
  • Animal Behavior and Cognition (6070)
  • Biochemistry (13811)
  • Bioengineering (10521)
  • Bioinformatics (33412)
  • Biophysics (17242)
  • Cancer Biology (14303)
  • Cell Biology (20259)
  • Clinical Trials (138)
  • Developmental Biology (10942)
  • Ecology (16128)
  • Epidemiology (2067)
  • Evolutionary Biology (20448)
  • Genetics (13473)
  • Genomics (18739)
  • Immunology (13864)
  • Microbiology (32369)
  • Molecular Biology (13475)
  • Neuroscience (70524)
  • Paleontology (530)
  • Pathology (2214)
  • Pharmacology and Toxicology (3765)
  • Physiology (5930)
  • Plant Biology (12092)
  • Scientific Communication and Education (1821)
  • Synthetic Biology (3391)
  • Systems Biology (8212)
  • Zoology (1855)