deconvolve_nlreg_resample: This function deconvolves the BOLD signal using Bush 2011...

In PennStateDEPENdLab/dependlab: Useful functions for the UNC Chapel Hill DEPENd Lab (Director: Michael Hallquist)

This function deconvolves the BOLD signal using Bush 2011 method, augmented by the resampling approach of Bush 2015.

Description

This function deconvolves the BOLD signal using Bush 2011 method, augmented by the resampling approach of Bush 2015.

Usage

deconvolve_nlreg_resample(
  BOLDobs,
  kernel,
  nev_lr = 0.01,
  epsilon = 0.005,
  beta = 40,
  Nresample = 30,
  trim_kernel = TRUE
)

Arguments

BOLDobs	observed BOLD signal
kernel	assumed kernel of the BOLD signal
nev_lr	learning rate for the assignment of neural events
epsilon	relative error change (termination condition)
beta	slope of the sigmoid transfer function
Nresample	number of resampling steps for deconvolution
trim_kernel	whether to remove the first K time points from the deconvolved vector, corresponding to kernel leftovers from convolution. Default: TRUE

Details

Author: Keith Bush Institution: University of Arkansas at Little Rock Date: Aug. 12, 2013

Value

list containing the following fields: - NEVest - the base neural event estimate - NEVmean - the mean neural event estimate - NEVstd - the std dev. of the neural event estimate - NEVcupp - the mean (upper limit 95 - NEVclow - the mean (lower limit 95 - BLDmean - the mean of the BOLD estimate - BLDstd - the std dev. of the BOLD estimate - BLDcupp - the mean BOLD (upper limit 95 - BLDclow - the mean BOLD (lower limit 95

Author(s)

Keith Bush

PennStateDEPENdLab/dependlab documentation built on April 10, 2024, 5:15 p.m.