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Items: 1 to 20 of 51

1.

Deciphering the Contribution of Oriens-Lacunosum/Moleculare (OLM) Cells to Intrinsic θ Rhythms Using Biophysical Local Field Potential (LFP) Models.

Chatzikalymniou AP, Skinner FK.

eNeuro. 2018 Sep 4;5(4). pii: ENEURO.0146-18.2018. doi: 10.1523/ENEURO.0146-18.2018. eCollection 2018 Jul-Aug.

2.

Toward Theoretical and Experimental Synergies in Neuroscience: A Personal View.

Skinner FK.

Can J Neurol Sci. 2017 Nov;44(6):747-748. doi: 10.1017/cjn.2017.215. Epub 2017 Sep 7. No abstract available.

PMID:
28877772
3.

Combining Theory, Model, and Experiment to Explain How Intrinsic Theta Rhythms Are Generated in an In Vitro Whole Hippocampus Preparation without Oscillatory Inputs.

Ferguson KA, Chatzikalymniou AP, Skinner FK.

eNeuro. 2017 Aug 7;4(4). pii: ENEURO.0131-17.2017. doi: 10.1523/ENEURO.0131-17.2017. eCollection 2017 Jul-Aug.

4.
5.

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

Guet-McCreight A, Camiré O, Topolnik L, Skinner FK.

eNeuro. 2016 Sep 19;3(4). pii: ENEURO.0087-16.2016. eCollection 2016 Jul-Aug.

6.

Excitatory Inputs Determine Phase-Locking Strength and Spike-Timing of CA1 Stratum Oriens/Alveus Parvalbumin and Somatostatin Interneurons during Intrinsically Generated Hippocampal Theta Rhythm.

Huh CY, Amilhon B, Ferguson KA, Manseau F, Torres-Platas SG, Peach JP, Scodras S, Mechawar N, Skinner FK, Williams S.

J Neurosci. 2016 Jun 22;36(25):6605-22. doi: 10.1523/JNEUROSCI.3951-13.2016.

7.

Examining the limits of cellular adaptation bursting mechanisms in biologically-based excitatory networks of the hippocampus.

Ferguson KA, Njap F, Nicola W, Skinner FK, Campbell SA.

J Comput Neurosci. 2015 Dec;39(3):289-309. doi: 10.1007/s10827-015-0577-1. Epub 2015 Oct 13.

PMID:
26464038
8.

Network models provide insights into how oriens-lacunosum-moleculare and bistratified cell interactions influence the power of local hippocampal CA1 theta oscillations.

Ferguson KA, Huh CY, Amilhon B, Manseau F, Williams S, Skinner FK.

Front Syst Neurosci. 2015 Aug 7;9:110. doi: 10.3389/fnsys.2015.00110. eCollection 2015.

9.

Theory, models and biology.

Shou W, Bergstrom CT, Chakraborty AK, Skinner FK.

Elife. 2015 Jul 14;4:e07158. doi: 10.7554/eLife.07158.

10.

Dendritic distributions of I h channels in experimentally-derived multi-compartment models of oriens-lacunosum/moleculare (O-LM) hippocampal interneurons.

Sekulić V, Chen TC, Lawrence JJ, Skinner FK.

Front Synaptic Neurosci. 2015 Feb 27;7:2. doi: 10.3389/fnsyn.2015.00002. eCollection 2015.

11.

Simple, biologically-constrained CA1 pyramidal cell models using an intact, whole hippocampus context.

Ferguson KA, Huh CY, Amilhon B, Williams S, Skinner FK.

F1000Res. 2014 May 9;3:104. doi: 10.12688/f1000research.3894.1. eCollection 2014.

12.
13.

Network models predict that reduced excitatory fluctuations can give rise to hippocampal network hyper-excitability in MeCP2-null mice.

Ho EC, Eubanks JH, Zhang L, Skinner FK.

PLoS One. 2014 Mar 18;9(3):e91148. doi: 10.1371/journal.pone.0091148. eCollection 2014. Erratum in: PLoS One. 2014;9(7):e103906.

14.

Modeling oscillatory dynamics in brain microcircuits as a way to help uncover neurological disease mechanisms: a proposal.

Skinner FK, Ferguson KA.

Chaos. 2013 Dec;23(4):046108. doi: 10.1063/1.4829620.

PMID:
24387587
15.

Moving beyond Type I and Type II neuron types.

Skinner FK.

F1000Res. 2013 Jan 22;2:19. doi: 10.12688/f1000research.2-19.v1. eCollection 2013.

16.

Experimentally constrained CA1 fast-firing parvalbumin-positive interneuron network models exhibit sharp transitions into coherent high frequency rhythms.

Ferguson KA, Huh CY, Amilhon B, Williams S, Skinner FK.

Front Comput Neurosci. 2013 Oct 22;7:144. doi: 10.3389/fncom.2013.00144. eCollection 2013.

17.

Inhibitory networks of fast-spiking interneurons generate slow population activities due to excitatory fluctuations and network multistability.

Ho EC, Strüber M, Bartos M, Zhang L, Skinner FK.

J Neurosci. 2012 Jul 18;32(29):9931-46. doi: 10.1523/JNEUROSCI.5446-11.2012.

18.

Fluctuating inhibitory inputs promote reliable spiking at theta frequencies in hippocampal interneurons.

Sritharan D, Skinner FK.

Front Comput Neurosci. 2012 May 24;6:30. doi: 10.3389/fncom.2012.00030. eCollection 2012.

19.

Cellular-based modeling of oscillatory dynamics in brain networks.

Skinner FK.

Curr Opin Neurobiol. 2012 Aug;22(4):660-9. doi: 10.1016/j.conb.2012.02.001. Epub 2012 Feb 28. Review.

PMID:
22377416
20.

Network bursting using experimentally constrained single compartment CA3 hippocampal neuron models with adaptation.

Dur-e-Ahmad M, Nicola W, Campbell SA, Skinner FK.

J Comput Neurosci. 2012 Aug;33(1):21-40. doi: 10.1007/s10827-011-0372-6. Epub 2011 Dec 2.

PMID:
22131133

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