These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
212 related articles for article (PubMed ID: 26079749)
1. An Empirical Model for Reliable Spiking Activity. Wang W; Tripathy SJ; Padmanabhan K; Urban NN; Kass RE Neural Comput; 2015 Aug; 27(8):1609-23. PubMed ID: 26079749 [TBL] [Abstract][Full Text] [Related]
2. Feature selection in simple neurons: how coding depends on spiking dynamics. Famulare M; Fairhall A Neural Comput; 2010 Mar; 22(3):581-98. PubMed ID: 19922290 [TBL] [Abstract][Full Text] [Related]
3. Noisy Juxtacellular Stimulation In Vivo Leads to Reliable Spiking and Reveals High-Frequency Coding in Single Neurons. Doose J; Doron G; Brecht M; Lindner B J Neurosci; 2016 Oct; 36(43):11120-11132. PubMed ID: 27798191 [TBL] [Abstract][Full Text] [Related]
4. Computing with the leaky integrate-and-fire neuron: logarithmic computation and multiplication. Tal D; Schwartz EL Neural Comput; 1997 Feb; 9(2):305-18. PubMed ID: 9117905 [TBL] [Abstract][Full Text] [Related]
5. On the stability and dynamics of stochastic spiking neuron models: Nonlinear Hawkes process and point process GLMs. Gerhard F; Deger M; Truccolo W PLoS Comput Biol; 2017 Feb; 13(2):e1005390. PubMed ID: 28234899 [TBL] [Abstract][Full Text] [Related]
6. Including long-range dependence in integrate-and-fire models of the high interspike-interval variability of cortical neurons. Jackson BS Neural Comput; 2004 Oct; 16(10):2125-95. PubMed ID: 15333210 [TBL] [Abstract][Full Text] [Related]
7. What causes a neuron to spike? Agüera y Arcas B; Fairhall AL Neural Comput; 2003 Aug; 15(8):1789-807. PubMed ID: 14511513 [TBL] [Abstract][Full Text] [Related]
9. A point process framework for relating neural spiking activity to spiking history, neural ensemble, and extrinsic covariate effects. Truccolo W; Eden UT; Fellows MR; Donoghue JP; Brown EN J Neurophysiol; 2005 Feb; 93(2):1074-89. PubMed ID: 15356183 [TBL] [Abstract][Full Text] [Related]
14. Firing-rate models for neurons with a broad repertoire of spiking behaviors. Heiberg T; Kriener B; Tetzlaff T; Einevoll GT; Plesser HE J Comput Neurosci; 2018 Oct; 45(2):103-132. PubMed ID: 30146661 [TBL] [Abstract][Full Text] [Related]
15. Overview of facts and issues about neural coding by spikes. Cessac B; Paugam-Moisy H; Viéville T J Physiol Paris; 2010; 104(1-2):5-18. PubMed ID: 19925865 [TBL] [Abstract][Full Text] [Related]
16. Linear versus nonlinear signal transmission in neuron models with adaptation currents or dynamic thresholds. Benda J; Maler L; Longtin A J Neurophysiol; 2010 Nov; 104(5):2806-20. PubMed ID: 21045213 [TBL] [Abstract][Full Text] [Related]
17. A point-process response model for spike trains from single neurons in neural circuits under optogenetic stimulation. Luo X; Gee S; Sohal V; Small D Stat Med; 2016 Feb; 35(3):455-74. PubMed ID: 26411923 [TBL] [Abstract][Full Text] [Related]
18. Low-dimensional spike rate models derived from networks of adaptive integrate-and-fire neurons: Comparison and implementation. Augustin M; Ladenbauer J; Baumann F; Obermayer K PLoS Comput Biol; 2017 Jun; 13(6):e1005545. PubMed ID: 28644841 [TBL] [Abstract][Full Text] [Related]
19. Spiking neural networks for cortical neuronal spike train decoding. Fang H; Wang Y; He J Neural Comput; 2010 Apr; 22(4):1060-85. PubMed ID: 19922291 [TBL] [Abstract][Full Text] [Related]