Learn R Programming

neuromplex (version 1.0-1)

Neural Multiplexing Analysis

Description

Statistical methods for whole-trial and time-domain analysis of single cell neural response to multiple stimuli presented simultaneously. The package is based on the paper by C Glynn, ST Tokdar, A Zaman, VC Caruso, JT Mohl, SM Willett, and JM Groh (2021) "Analyzing second order stochasticity of neural spiking under stimuli-bundle exposure", is in press for publication by the Annals of Applied Statistics. A preprint may be found at .

Copy Link

Version

Install

install.packages('neuromplex')

Monthly Downloads

177

Version

1.0-1

License

GPL-2

Maintainer

Surya Tokdar

Last Published

April 22nd, 2021

Functions in neuromplex (1.0-1)

plot.dapp

Plotting Method for Dynamic Admixture of Poisson Process
poisson.tests

Poisson Tests for Whole Trial Spike Counts
bin.counter

Bin Counting
dapp.simulate

Simulate from Dynamic Admixture of Poisson Process
predict.dapp

Predict Method for Dynamic Admixture of Poisson Process
synthesis.dapp

Simulate Multiplexing Data for DAPP Analysis
summary.dapp

Summary Method for Dynamic Admixture of Poisson Process
dapp

Dynamic Admixture of Poisson Process
mplex.preprocess

Preprocessing Neural Multiplexing Data