Estimation of Spike Train Statistics in Spontaneously Active Biological Neural Networks

DOI10.1007/978-1-84628-780-0_6zbMATH Open1268.92034OpenAlexW1505820416WikidataQ62861970 ScholiaQ62861970MaRDI QIDQ5326179

Henry C. Tuckwell, Jianfeng Feng

Publication date: 31 July 2013

Published in: Networks: From Biology to Theory (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-1-84628-780-0_6

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Neural biology (92C20) Neural networks for/in biological studies, artificial life and related topics (92B20) Stability theory of functional-differential equations (34K20) Qualitative investigation and simulation of models involving functional-differential equations (34K60) Computational methods for problems pertaining to biology (92-08)

Related Items (5)

Direct Estimation of Inhomogeneous Markov Interval Models of Spike Trains ⋮ Statistical structure of neural spiking under non-Poissonian or other non-white stimulation ⋮ On the Mathematical Consequences of Binning Spike Trains ⋮ Goodness-of-fit tests and nonparametric adaptive estimation for spike train analysis ⋮ Vesicular mechanisms and estimates of firing probability in a network of spiking neurons

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