Frank LM, Brown EN, Eden UT, Barbieri R. (2003). Likelihood methods for neural data analysis Computational neuroscience: A comprehensive approach .

See more from authors: Frank LM · Brown EN · Eden UT · Barbieri R

References and models cited by this paper
References and models that cite this paper

Barbieri R et al. (2004). Dynamic analyses of information encoding in neural ensembles. Neural computation. 16 [PubMed]

Eden UT, Frank LM, Barbieri R, Solo V, Brown EN. (2004). Dynamic analysis of neural encoding by point process adaptive filtering. Neural computation. 16 [PubMed]

Okatan M, Wilson MA, Brown EN. (2005). Analyzing functional connectivity using a network likelihood model of ensemble neural spiking activity. Neural computation. 17 [PubMed]

Truccolo W, Donoghue JP. (2007). Nonparametric modeling of neural point processes via stochastic gradient boosting regression. Neural computation. 19 [PubMed]

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