Combining frequency and time domain approaches to systems with multiple spike train input and output

DOI10.1007/S00422-008-0289-YzbMath1342.92040OpenAlexW2087883956WikidataQ46230261 ScholiaQ46230261MaRDI QIDQ732704

Jay R. Rosenberg, Kenneth A. Lindsay, David R. Brillinger

Publication date: 12 October 2009

Published in: Biological Cybernetics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00422-008-0289-y

zbMATH Keywords

maximum likelihoodmultivariate point processesneural codingmuscle spindlecanonical coherencemultiple spike trains

Mathematics Subject Classification ID

Neural biology (92C20)

Related Items (3)

Estimating the interaction graph of stochastic neuronal dynamics by observing only pairs of neurons ⋮ The Dependence of Spike Field Coherence on Expected Intensity ⋮ Measuring the association of stationary point processes using spectral analysis techniques

Uses Software

• R
• CRAN
• Stata
• glm

Cites Work

• Unnamed Item
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• Estimation of dependences based on empirical data. Transl. from the Russian by Samuel Kotz
• Identification of synaptic interactions
• The identification of point process systems

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