Introduction to neural spike train data for phase-amplitude analysis

DOI10.1214/14-EJS865zbMath1305.62332OpenAlexW2014837149MaRDI QIDQ470449

Nicholas G. Hatsopoulos, Wei Wu, Anuj Srivastava

Publication date: 12 November 2014

Published in: Electronic Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.ejs/1414588160

zbMATH Keywords

motor cortexneural decodingneuroscience spike trainspike train alignmentspike train metrics

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Inference from stochastic processes and spectral analysis (62M15) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)

Related Items (5)

Analysis of spike train data: an application of \(k\)-mean alignment ⋮ Analysis of spike train data: alignment and comparisons using the extended Fisher-Rao metric ⋮ Analysis of spike train data: classification and Bayesian alignment ⋮ Analysis of spike train data: comparison between the real and the simulated data ⋮ Analysis of spike train data: a multivariate mixed effects model for phase and amplitude

Uses Software

• fda (R)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• The Time-Rescaling Theorem and Its Application to Neural Spike Train Data Analysis
• Estimating summary statistics in the spike-train space
• Functional data analysis.
• A Novel Spike Distance
• A Spike-Train Probability Model
• A Fast ℒ_p Spike Alignment Metric
• A New Multineuron Spike Train Metric

This page was built for publication: Introduction to neural spike train data for phase-amplitude analysis