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Brown EN, Barbieri R, Ventura V, Kass RE, Frank LM (2002) The time-rescaling theorem and its application to neural spike train data analysis. Neural Comput 14:325-46 [PubMed]

References and models cited by this paper

References and models that cite this paper

Barbieri R, Frank LM, Nguyen DP, Quirk MC, Solo V, Wilson MA, Brown EN (2004) Dynamic analyses of information encoding in neural ensembles. Neural Comput 16:277-307 [Journal] [PubMed]
Eden UT, Frank LM, Barbieri R, Solo V, Brown EN (2004) Dynamic analysis of neural encoding by point process adaptive filtering. Neural Comput 16:971-98 [Journal] [PubMed]
Miura K, Okada M, Amari S (2006) Estimating spiking irregularities under changing environments. Neural Comput 18:2359-86 [Journal] [PubMed]
Nakahara H, Amari S, Richmond BJ (2006) A comparison of descriptive models of a single spike train by information-geometric measure. Neural Comput 18:545-68 [Journal] [PubMed]
Okatan M, Wilson MA, Brown EN (2005) Analyzing functional connectivity using a network likelihood model of ensemble neural spiking activity. Neural Comput 17:1927-61 [Journal] [PubMed]
Paninski L, Pillow JW, Simoncelli EP (2004) Maximum likelihood estimation of a stochastic integrate-and-fire neural encoding model. Neural Comput 16:2533-61 [Journal] [PubMed]
Singh C, Levy WB (2017) A consensus layer V pyramidal neuron can sustain interpulse-interval coding. PLoS One 12:e0180839 [Journal] [PubMed]
  • Stochastic layer V pyramidal neuron: interpulse interval coding and noise (Singh & Levy 2017) [Model]
Srinivasan L, Eden UT, Willsky AS, Brown EN (2006) A state-space analysis for reconstruction of goal-directed movements using neural signals. Neural Comput 18:2465-94 [Journal] [PubMed]
Truccolo W, Donoghue JP (2007) Nonparametric modeling of neural point processes via stochastic gradient boosting regression. Neural Comput 19:672-705 [Journal] [PubMed]
Ventura V (2004) Testing for and estimating latency effects for poisson and non-poisson spike trains. Neural Comput 16:2323-49 [Journal] [PubMed]
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