Skip to main content

Main menu

  • HOME
  • CONTENT
    • Early Release
    • Featured
    • Current Issue
    • Issue Archive
    • Blog
    • Collections
    • Podcast
  • TOPICS
    • Cognition and Behavior
    • Development
    • Disorders of the Nervous System
    • History, Teaching and Public Awareness
    • Integrative Systems
    • Neuronal Excitability
    • Novel Tools and Methods
    • Sensory and Motor Systems
  • ALERTS
  • FOR AUTHORS
  • ABOUT
    • Overview
    • Editorial Board
    • For the Media
    • Privacy Policy
    • Contact Us
    • Feedback
  • SUBMIT

User menu

Search

  • Advanced search
eNeuro

eNeuro

Advanced Search

 

  • HOME
  • CONTENT
    • Early Release
    • Featured
    • Current Issue
    • Issue Archive
    • Blog
    • Collections
    • Podcast
  • TOPICS
    • Cognition and Behavior
    • Development
    • Disorders of the Nervous System
    • History, Teaching and Public Awareness
    • Integrative Systems
    • Neuronal Excitability
    • Novel Tools and Methods
    • Sensory and Motor Systems
  • ALERTS
  • FOR AUTHORS
  • ABOUT
    • Overview
    • Editorial Board
    • For the Media
    • Privacy Policy
    • Contact Us
    • Feedback
  • SUBMIT
PreviousNext
Research ArticleMethods, Novel Tools and Methods

Quantifying Repetitive Transmission at Chemical Synapses: A Generative-Model Approach

Alessandro Barri, Yun Wang, David Hansel and Gianluigi Mongillo
eNeuro 28 April 2016, 3 (2) ENEURO.0113-15.2016; DOI: https://doi.org/10.1523/ENEURO.0113-15.2016
Alessandro Barri
1 Unité d'Imagerie Dynamique du Neurone, Institut Pasteur, Paris, France
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Yun Wang
2 Caritas St. Elizabeth's Center, Tufts University, Boston, MA, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
David Hansel
3Centre National de la Recherche Scientifique, UMR 8119, Paris, France
4 Cerebral Dynamics, Plasticity and Learning, Centre de Neurophysique, Physiologie et Pathologie, Université Descartes, Paris, France
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Gianluigi Mongillo
3Centre National de la Recherche Scientifique, UMR 8119, Paris, France
4 Cerebral Dynamics, Plasticity and Learning, Centre de Neurophysique, Physiologie et Pathologie, Université Descartes, Paris, France
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Info & Metrics
  • eLetters
  • PDF
Loading

Article Information

DOI 
https://doi.org/10.1523/ENEURO.0113-15.2016
PubMed 
27200414
Published By 
Society for Neuroscience
History 
  • Received September 24, 2015
  • Revision received March 28, 2016
  • Accepted April 2, 2016
  • Published online April 28, 2016.
Copyright & Usage 
Copyright © 2016 Barri et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International, which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.

Author Information

  1. Alessandro Barri1,
  2. Yun Wang2,
  3. David Hansel3,4 and
  4. Gianluigi Mongillo3,4
  1. 1 Unité d'Imagerie Dynamique du Neurone, Institut Pasteur, Paris, France
  2. 2 Caritas St. Elizabeth's Center, Tufts University, Boston, MA, USA
  3. 3Centre National de la Recherche Scientifique, UMR 8119, Paris, France
  4. 4 Cerebral Dynamics, Plasticity and Learning, Centre de Neurophysique, Physiologie et Pathologie, Université Descartes, Paris, France
  1. Correspondence should be addressed to Gianluigi Mongillo, CNRS and Paris Descartes University, 45, rue des Saints-Pères, Paris 75006, France. E-mail: gianluigi.mongillo{at}parisdescartes.fr.
View Full Text

Author contributions

  1. ↵2 Author Contributions: A.B., D.H., and G.M. designed research; A.B., D.H., and G.M. performed research; A.B., Y.W., D.H., and G.M. analyzed data; A.B., Y.W., D.H., and G.M. wrote the paper.

Disclosures

  • ↵1 The authors declare no competing financial interests.

  • ↵3 This research was conducted within the scope of the France-Israel Laboratory of Neuroscience (FILN-LEA), and supported by the France-Israel High Council for Science and Technology, the French National Research Agency (ANR) and the joint CNRS-JSPS research project.

Funding

  • French National Research Agency (ANR)

  • French National Center for Scientific Research (CNRS)

Other Version

  • previous version (April 28, 2016).
  • You are viewing the most recent version of this article.

Online Impact

 

Article usage

Select a custom date range for the past year
E.g., 2022-07-02
to
E.g., 2022-07-02

Article usage: April 2016 to June 2022

AbstractFullPdf
Apr 201637032
May 201612567125
Jun 20163723875
Jul 20164310154
Aug 2016175426
Sep 2016174118
Oct 2016145221
Nov 2016304440
Dec 201664315
Total 2016326640406
Jan 20171408
Feb 201723111
Mar 2017186511
Apr 2017294713
May 2017345718
Jun 201722319
Jul 2017141818
Aug 201711157
Sep 2017163118
Oct 201793027
Nov 2017173012
Dec 201727328
Total 2017200427160
Jan 2018102910
Feb 20187299
Mar 2018138510
Apr 201865517
May 2018136016
Jun 201864316
Jul 201811314
Aug 201853811
Sep 20184367
Oct 20186778
Nov 20181429714
Dec 201861973
Total 2018101977125
Jan 2019721111
Feb 201962165
Mar 201961315
Apr 20194504
May 201932811
Jun 20196238
Jul 201961810
Aug 20194238
Sep 201972113
Oct 20193217
Nov 20197246
Dec 20197199
Total 20196678597
Jan 20205317
Feb 202032216
Mar 20203139
Apr 20203126
May 20206169
Jun 20201123
Jul 20205204
Aug 2020496
Sep 202033213
Oct 202019378
Nov 20205415
Dec 202066710
Total 20206331296
Jan 202124614
Feb 20212368
Mar 20213529
Apr 20212514
May 20214484
Jun 20212394
Jul 202124912
Aug 202154310
Sep 20211464
Oct 202105826
Nov 202114124
Dec 20212412
Total 202126550121
Jan 20220398
Feb 20222256
Mar 202233811
Apr 202210346
May 202204712
Jun 20222408
Total 20221722351
Total79939141056
Back to top

In this issue

eneuro: 3 (2)
eNeuro
Vol. 3, Issue 2
March/April 2016
  • Table of Contents
  • Index by author
Email

Thank you for sharing this eNeuro article.

NOTE: We request your email address only to inform the recipient that it was you who recommended this article, and that it is not junk mail. We do not retain these email addresses.

Enter multiple addresses on separate lines or separate them with commas.
Quantifying Repetitive Transmission at Chemical Synapses: A Generative-Model Approach
(Your Name) has forwarded a page to you from eNeuro
(Your Name) thought you would be interested in this article in eNeuro.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Print
View Full Page PDF
Citation Tools
Quantifying Repetitive Transmission at Chemical Synapses: A Generative-Model Approach
Alessandro Barri, Yun Wang, David Hansel, Gianluigi Mongillo
eNeuro 28 April 2016, 3 (2) ENEURO.0113-15.2016; DOI: 10.1523/ENEURO.0113-15.2016

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Respond to this article
Share
Quantifying Repetitive Transmission at Chemical Synapses: A Generative-Model Approach
Alessandro Barri, Yun Wang, David Hansel, Gianluigi Mongillo
eNeuro 28 April 2016, 3 (2) ENEURO.0113-15.2016; DOI: 10.1523/ENEURO.0113-15.2016
del.icio.us logo Digg logo Reddit logo Twitter logo Facebook logo Google logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Significance Statement
    • Introduction
    • Materials and Methods
    • Results
    • Application to experimental data
    • Discussion
    • Acknowledgments
    • Footnotes
    • References
    • Synthesis
  • Figures & Data
  • Info & Metrics
  • eLetters
  • PDF

Keywords

  • expectation-maximization
  • generative modeling
  • quantal analysis
  • repetitive transmission
  • short-term plasticity

Responses to this article

Respond to this article

Jump to comment:

No eLetters have been published for this article.

Related Articles

Cited By...

More in this TOC Section

Methods

  • Filter-Based Phase Shifts Distort Neuronal Timing Information
  • Neuronify: An Educational Simulator for Neural Circuits
Show more Methods

Novel Tools and Methods

  • Filter-Based Phase Shifts Distort Neuronal Timing Information
  • Neuronify: An Educational Simulator for Neural Circuits
  • Universal Guide for Skull Extraction and Custom-Fitting of Implants to Continuous and Discontinuous Skulls
Show more Novel Tools and Methods

Subjects

  • Novel Tools and Methods

  • Home
  • Alerts
  • Visit Society for Neuroscience on Facebook
  • Follow Society for Neuroscience on Twitter
  • Follow Society for Neuroscience on LinkedIn
  • Visit Society for Neuroscience on Youtube
  • Follow our RSS feeds

Content

  • Early Release
  • Current Issue
  • Latest Articles
  • Issue Archive
  • Blog
  • Browse by Topic

Information

  • For Authors
  • For the Media

About

  • About the Journal
  • Editorial Board
  • Privacy Policy
  • Contact
  • Feedback
(eNeuro logo)
(SfN logo)

Copyright © 2022 by the Society for Neuroscience.
eNeuro eISSN: 2373-2822

The ideas and opinions expressed in eNeuro do not necessarily reflect those of SfN or the eNeuro Editorial Board. Publication of an advertisement or other product mention in eNeuro should not be construed as an endorsement of the manufacturer’s claims. SfN does not assume any responsibility for any injury and/or damage to persons or property arising from or related to any use of any material contained in eNeuro.