Citation Relationships

Legends: Link to a Model Reference cited by multiple papers


Teich MC, Heneghan C, Lowen SB, Ozaki T, Kaplan E (1997) Fractal character of the neural spike train in the visual system of the cat. J Opt Soc Am A Opt Image Sci Vis 14:529-46 [PubMed]

References and models cited by this paper

References and models that cite this paper

Gutkin B, Ermentrout GB, Rudolph M (2003) Spike generating dynamics and the conditions for spike-time precision in cortical neurons. J Comput Neurosci 15:91-103 [Journal] [PubMed]
Jackson BS (2004) Including long-range dependence in integrate-and-fire models of the high interspike-interval variability of cortical neurons. Neural Comput 16:2125-95 [Journal] [PubMed]
Kim SI, Jeong J, Kwak Y, Kim YI, Jung SH, Lee KJ (2005) Fractal stochastic modeling of spiking activity in suprachiasmatic nucleus neurons. J Comput Neurosci 19:39-51 [Journal] [PubMed]
Litwin-Kumar A, Doiron B (2012) Slow dynamics and high variability in balanced cortical networks with clustered connections. Nat Neurosci 15:1498-505 [Journal] [PubMed]
   Excitatory and inhibitory population activity (Bittner et al 2017) (Litwin-Kumar & Doiron 2017) [Model]
Miller P (2006) Analysis of spike statistics in neuronal systems with continuous attractors or multiple, discrete attractor States. Neural Comput 18:1268-317 [Journal] [PubMed]
Mukherjee P, Kaplan E (1998) The maintained discharge of neurons in the cat lateral geniculate nucleus: spectral analysis and computational modeling. Vis Neurosci 15:529-39 [PubMed]
Richard A, Orio P, Tanré E (2018) An integrate-and-fire model to generate spike trains with long-range dependence Journal of Computational Neuroscience [Journal]
   Perfect Integrate and fire with noisy adaptation or fractional noise (Richard et al 2018) [Model]
Rudolph M, Destexhe A (2004) Inferring network activity from synaptic noise. J Physiol Paris 98:452-66 [Journal] [PubMed]
(8 refs)