Statistical structure of the trial-to-trial timing variability in synfire chains release_t4qh25ycdvhy7ixmmcqt4prd3u

by Dina Obeid, Jacob Zavatone-Veth, Cengiz Pehlevan

Released as a post by Cold Spring Harbor Laboratory.

2020  

Abstract

Timing and its variability are critical for behavior. Consequently, neural circuits that take part in the control of timing and in the measurement of temporal intervals have been the subject of much research. Here, we provide an analytical and computational account of the temporal variability in what is perhaps the simplest model of a timing circuit, the synfire chain. We elucidate the statistical structure of its trial-to-trial timing variability and show that it is well-described by a statistical model which consists of local, global, and jitter components. We relate each of these components to distinct biological mechanisms. A synfire chain architecture is thought to underlie the circuit that takes part in the control and timing of zebra finch song; we find that the structure of trial-to-trial timing variability in the synfire chain is consistent with experimental observations of the song's temporal variability. Our study therefore provides a neuronal account of behavioral variability in zebra finches.
In application/xml+jats format

Archived Files and Locations

application/pdf  4.2 MB
file_5tbapg5zyrcg7oovqa7szdpury
www.biorxiv.org (repository)
web.archive.org (webarchive)
application/pdf  4.2 MB
file_w4d5zrrjqfgwnlik5wpft4rbsi
www.biorxiv.org (repository)
web.archive.org (webarchive)
application/pdf  6.0 MB
file_trw2qqsx4zdkhmk2uaagbhikw4
www.biorxiv.org (repository)
web.archive.org (webarchive)
Read Archived PDF
Preserved and Accessible
Type  post
Stage   unknown
Date   2020-03-24
Work Entity
access all versions, variants, and formats of this works (eg, pre-prints)
Catalog Record
Revision: 40dd5d4b-94b9-479e-9454-81b7ba18838b
API URL: JSON