Silver RA - Search Results

1

Data-driven modeling of synaptic transmission and integration.

Rothman JS, Silver RA. Rothman JS, et al. Among authors: silver ra. Prog Mol Biol Transl Sci. 2014;123:305-50. doi: 10.1016/B978-0-12-397897-4.00004-8. Prog Mol Biol Transl Sci. 2014. PMID: 24560150 Free PMC article. Review.

2

Shunting inhibition modulates neuronal gain during synaptic excitation.

Mitchell SJ, Silver RA. Mitchell SJ, et al. Among authors: silver ra. Neuron. 2003 May 8;38(3):433-45. doi: 10.1016/s0896-6273(03)00200-9. Neuron. 2003. PMID: 12741990 Free article.

3

Rapid vesicular release, quantal variability, and spillover contribute to the precision and reliability of transmission at a glomerular synapse.

Sargent PB, Saviane C, Nielsen TA, DiGregorio DA, Silver RA. Sargent PB, et al. Among authors: silver ra. J Neurosci. 2005 Sep 7;25(36):8173-87. doi: 10.1523/JNEUROSCI.2051-05.2005. J Neurosci. 2005. PMID: 16148225 Free PMC article.

4

Fast vesicle reloading and a large pool sustain high bandwidth transmission at a central synapse.

Saviane C, Silver RA. Saviane C, et al. Among authors: silver ra. Nature. 2006 Feb 23;439(7079):983-7. doi: 10.1038/nature04509. Nature. 2006. PMID: 16496000

5

Desensitization properties of AMPA receptors at the cerebellar mossy fiber granule cell synapse.

DiGregorio DA, Rothman JS, Nielsen TA, Silver RA. DiGregorio DA, et al. Among authors: silver ra. J Neurosci. 2007 Aug 1;27(31):8344-57. doi: 10.1523/JNEUROSCI.2399-07.2007. J Neurosci. 2007. PMID: 17670981 Free PMC article.

6

Synaptic and cellular properties of the feedforward inhibitory circuit within the input layer of the cerebellar cortex.

Kanichay RT, Silver RA. Kanichay RT, et al. Among authors: silver ra. J Neurosci. 2008 Sep 3;28(36):8955-67. doi: 10.1523/JNEUROSCI.5469-07.2008. J Neurosci. 2008. PMID: 18768689 Free PMC article.

7

Estimation of quantal parameters with multiple-probability fluctuation analysis.

Saviane C, Silver RA. Saviane C, et al. Among authors: silver ra. Methods Mol Biol. 2007;403:303-17. doi: 10.1007/978-1-59745-529-9_19. Methods Mol Biol. 2007. PMID: 18828002 Free PMC article.

8

Synaptic depression enables neuronal gain control.

Rothman JS, Cathala L, Steuber V, Silver RA. Rothman JS, et al. Among authors: silver ra. Nature. 2009 Feb 19;457(7232):1015-8. doi: 10.1038/nature07604. Epub 2009 Jan 14. Nature. 2009. PMID: 19145233 Free PMC article.

9

NeuroML: a language for describing data driven models of neurons and networks with a high degree of biological detail.

Gleeson P, Crook S, Cannon RC, Hines ML, Billings GO, Farinella M, Morse TM, Davison AP, Ray S, Bhalla US, Barnes SR, Dimitrova YD, Silver RA. Gleeson P, et al. Among authors: silver ra. PLoS Comput Biol. 2010 Jun 17;6(6):e1000815. doi: 10.1371/journal.pcbi.1000815. PLoS Comput Biol. 2010. PMID: 20585541 Free PMC article.

10

Determinants of synaptic integration and heterogeneity in rebound firing explored with data-driven models of deep cerebellar nucleus cells.

Steuber V, Schultheiss NW, Silver RA, De Schutter E, Jaeger D. Steuber V, et al. Among authors: silver ra. J Comput Neurosci. 2011 Jun;30(3):633-58. doi: 10.1007/s10827-010-0282-z. Epub 2010 Nov 4. J Comput Neurosci. 2011. PMID: 21052805 Free PMC article.

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