Paper Overview and Equation Mapping

Primary reference:

• Cajigas I, Malik WQ, Brown EN. nSTAT: Open-source neural spike train analysis toolbox for Matlab. Journal of Neuroscience Methods 211:245-264 (2012).

• DOI: 10.1016/j.jneumeth.2012.08.009

• PMID: 22981419

• PubMed: https://pubmed.ncbi.nlm.nih.gov/22981419/

• Full text: https://pmc.ncbi.nlm.nih.gov/articles/PMC3491120/

Equation/Section mapping

Python module/class	Mathematical role	Paper mapping
nstat.cif.CIFModel	Conditional intensity models	Sec. 2, Sec. 3 examples
nstat.analysis.Analysis	GLM fitting and model estimation	Sec. 2.2, Sec. 3
nstat.history.HistoryBasis	Spike-history effects	Sec. 2 methodology
nstat.decoding.DecodingAlgorithms	Decoding and confidence comparisons	Sec. 3.4 workflows
nstat.fit.FitResult/FitSummary	AIC/BIC/log-likelihood summaries	Sec. 2 model assessment