Research ArticleNew Research, Neuronal Excitability

Using a Semi-Automated Strategy to Develop Multi-Compartment Models That Predict Biophysical Properties of Interneuron-Specific 3 (IS3) Cells in Hippocampus

Alexandre Guet-McCreight, Olivier Camiré, Lisa Topolnik and Frances K. Skinner
eNeuro 29 August 2016, 3 (4) ENEURO.0087-16.2016; https://doi.org/10.1523/ENEURO.0087-16.2016

Article Information

DOI 
https://doi.org/10.1523/ENEURO.0087-16.2016
PubMed 
27679813
Published By 
Society for Neuroscience
History 
  • Received April 13, 2016
  • Revision received August 19, 2016
  • Accepted August 22, 2016
  • Published online August 29, 2016.
Copyright & Usage 
Copyright © 2016 Guet-McCreight 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. Alexandre Guet-McCreight1,2,
  2. Olivier Camiré3,
  3. Lisa Topolnik3 and
  4. Frances K. Skinner1,4
  1. 1Krembil Research Institute, University Health Network, Toronto, Ontario, M5T 2S8, Canada
  2. 2Department of Physiology, University of Toronto, Toronto, Ontario, M5S 1A8, Canada
  3. 3Department of Biochemistry, Microbiology and Bio-informatics, Neuroscience Axis, CHU de Québec Research Center (CHUL), Laval University, Québec City, Québec, G1V 0A6, Canada
  4. 4Departments of Medicine (Neurology) and Physiology, University of Toronto, Toronto, Ontario, M5S 1A8, Canada
  1. Correspondence should be addressed to either of the following: Alexandre Guet-McCreight (computational correspondence), 60 Leonard Avenue, 7KD410, Toronto, ON M5T 2S8, Canada, E-mail: alexandre.guet.mccreight{at}mail.utoronto.ca; or Lisa Topolnik (experimental correspondence), 2705 Boulevard Laurier, R-3704.6, Québec, QC G1V 4G2, Canada, E-mail: lisa.topolnik{at}bcm.ulaval.ca.
View Full Text

Author contributions

  1. Author contributions: A.G.-M., O.C., L.T., and F.K.S. designed research; A.G.-M. and O.C. performed research; A.G.-M., O.C., L.T., and F.K.S. analyzed data; A.G.-M., O.C., L.T., and F.K.S. wrote the paper.

Disclosures

  • The authors declare no competing financial interests.

  • This work was supported by Canadian Institutes of Health Research Grants to L.T., and Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grants to L.T. and F.K.S. O.C. was supported by the NSERC Postgraduate Scholarships-Doctoral (PGS D). A.G.-M. was supported by a NSERC Canada Graduate Scholarships-Master’s (CGS M) fellowship, the Mary H. Beatty Fellowship, the Unilever/Lipton Ontario Student Opportunity Trust Fund Graduate Fellowship, and the Queen Elizabeth II Graduate Scholarships in Science and Technology Fellowship.

Funding

  • NSERC Discovery Grant

    RGPIN-203700-2011

  • NSERC CGS-M

    CGSM-444436-2013

  • Mary H. Beatty Fellowship

    N/A

  • OSOTF Unilever/Lipton Graduate Fellowship

    N/A

  • QEII-GSST Fellowship

    N/A

  • NSERC Discovery Grant

  • CIHR

  • NSERC PhD Fellowship

Other Version

Online Impact

 

Article usage

Article usage: September 2016 to February 2026

AbstractFullPdf
Sep 2016041
Oct 201603511
Nov 20160114
Dec 2016083
Total 201605819
Jan 20170134
Feb 201701011
Mar 2017071
Apr 2017366
May 201751311
Jun 2017467
Jul 2017167
Aug 201793520
Sep 2017144320
Oct 2017105923
Nov 2017274717
Dec 201710546
Total 201783299133
Jan 201815499
Feb 2018113711
Mar 2018132723
Apr 201864720
May 201884019
Jun 2018105223
Jul 201854916
Aug 2018113621
Sep 2018142510
Oct 2018104019
Nov 2018151715
Dec 2018184411
Total 2018136463197
Jan 20196348
Feb 20196858
Mar 201942185
Apr 2019520715
May 2019114914
Jun 2019535215
Jul 2019656711
Aug 20191182821
Oct 2019568112
Nov 2019548114
Dec 2019225419
Total 2019563856142
Jan 202043011
Feb 202043224
Mar 20200277
May 20202428
Jun 20202503
Jul 20200246
Aug 202021614
Sep 20202348
Oct 20201526
Nov 202016013
Dec 202057510
Total 202023442110
Jan 20214376
Feb 20210629
Mar 20212483
Apr 20210401
May 20213442
Jun 202115610
Jul 202116718
Aug 20212606
Sep 20212599
Oct 202128220
Nov 202106019
Dec 20210604
Total 202117675107
Jan 20220506
Feb 20222191
Mar 20221319
Apr 20221304
May 20222429
Jun 202224011
Jul 202213111
Aug 202219305
Sep 202261813
Oct 202233014
Nov 202283115
Dec 20223345
Total 202248386103
Jan 202314016
Feb 20231397
Mar 20230314
Apr 20231382
May 202333417
Jun 20237362
Jul 202363722
Aug 202323624
Sep 20230345
Oct 20232445
Nov 202335611
Dec 202325010
Total 202328475125
Jan 202434910
Feb 202413719
Mar 202474713
Apr 2024823522
May 202434911
Jun 20244649
Jul 202444711
Aug 202485712
Sep 20243419
Oct 202444113
Nov 202414710
Dec 20242398
Total 202448753147
Jan 202534316
Feb 20254593
Mar 202556419
Apr 202546415
May 202525012
Jun 202587017
Jul 2025107630
Aug 202556812
Sep 2025817314
Oct 2025116322
Nov 2025148819
Dec 2025119035
Total 202585908214
Jan 20261412722
Feb 20262163
Total 20261614325
Total54084581322
Back to top

In this issue

eneuro: 3 (4)
eNeuro
Vol. 3, Issue 4
July/August 2016
Email
Print
View Full Page PDF
Citation Tools
Respond to this article
Using a Semi-Automated Strategy to Develop Multi-Compartment Models That Predict Biophysical Properties of Interneuron-Specific 3 (IS3) Cells in Hippocampus
Alexandre Guet-McCreight, Olivier Camiré, Lisa Topolnik, Frances K. Skinner
eNeuro 29 August 2016, 3 (4) ENEURO.0087-16.2016; DOI: 10.1523/ENEURO.0087-16.2016
Twitter logo Facebook logo Mendeley logo

Jump to section

Keywords

Responses to this article

Respond to this article

Jump to comment:

No eLetters have been published for this article.

Subjects