Extraction of synaptic input properties in vivo

Knowledge of synaptic input is crucial for understanding synaptic integration and ultimately neural function. However, in vivo, the rates at which synaptic inputs arrive are high, so that it is typically impossible to detect single events. We show here that it is nevertheless possible to extract the...

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Main Authors: Puggioni, Paolo, Jelitai, Marta, Duguid, Ian, van Rossum, Mark C.W.
Format: Article
Published: MIT Press 2017
Online Access:https://eprints.nottingham.ac.uk/49602/
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author Puggioni, Paolo
Jelitai, Marta
Duguid, Ian
van Rossum, Mark C.W.
author_facet Puggioni, Paolo
Jelitai, Marta
Duguid, Ian
van Rossum, Mark C.W.
author_sort Puggioni, Paolo
building Nottingham Research Data Repository
collection Online Access
description Knowledge of synaptic input is crucial for understanding synaptic integration and ultimately neural function. However, in vivo, the rates at which synaptic inputs arrive are high, so that it is typically impossible to detect single events. We show here that it is nevertheless possible to extract the properties of the events and, in particular, to extract the event rate, the synaptic time constants, and the properties of the event size distribution from in vivo voltage-clamp recordings. Applied to cerebellar interneurons, our method reveals that the synaptic input rate increases from 600 Hz during rest to 1000 Hz during locomotion, while the amplitude and shape of the synaptic events are unaffected by this state change. This method thus complements existing methods to measure neural function in vivo.
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spelling nottingham-496022020-05-04T19:56:43Z https://eprints.nottingham.ac.uk/49602/ Extraction of synaptic input properties in vivo Puggioni, Paolo Jelitai, Marta Duguid, Ian van Rossum, Mark C.W. Knowledge of synaptic input is crucial for understanding synaptic integration and ultimately neural function. However, in vivo, the rates at which synaptic inputs arrive are high, so that it is typically impossible to detect single events. We show here that it is nevertheless possible to extract the properties of the events and, in particular, to extract the event rate, the synaptic time constants, and the properties of the event size distribution from in vivo voltage-clamp recordings. Applied to cerebellar interneurons, our method reveals that the synaptic input rate increases from 600 Hz during rest to 1000 Hz during locomotion, while the amplitude and shape of the synaptic events are unaffected by this state change. This method thus complements existing methods to measure neural function in vivo. MIT Press 2017-07 Article PeerReviewed Puggioni, Paolo, Jelitai, Marta, Duguid, Ian and van Rossum, Mark C.W. (2017) Extraction of synaptic input properties in vivo. Neural Computation, 29 (7). pp. 1745-1768. ISSN 1530-888X https://www.mitpressjournals.org/doi/abs/10.1162/NECO_a_00975 doi:10.1162/NECO_a_00975 doi:10.1162/NECO_a_00975
spellingShingle Puggioni, Paolo
Jelitai, Marta
Duguid, Ian
van Rossum, Mark C.W.
Extraction of synaptic input properties in vivo
title Extraction of synaptic input properties in vivo
title_full Extraction of synaptic input properties in vivo
title_fullStr Extraction of synaptic input properties in vivo
title_full_unstemmed Extraction of synaptic input properties in vivo
title_short Extraction of synaptic input properties in vivo
title_sort extraction of synaptic input properties in vivo
url https://eprints.nottingham.ac.uk/49602/
https://eprints.nottingham.ac.uk/49602/
https://eprints.nottingham.ac.uk/49602/