convolve_block | R Documentation |
This function convolves a hemodynamic response function (HRF) with a block duration, producing a time-varying response for the specified duration. The function supports various HRFs, block widths, precision levels, half-lives, and normalization.
convolve_block(
t,
hrf = hrf_gaussian,
width = 5,
precision = 0.2,
half_life = Inf,
summate = TRUE,
normalize = FALSE,
...
)
t |
A vector of time points in seconds at which the convolved response will be evaluated |
hrf |
The hemodynamic response function to be convolved, provided as a function (default: hrf_gaussian) |
width |
The fixed width of the response block in seconds (default: 5) |
precision |
The sampling precision of the response in seconds (default: 0.2) |
half_life |
The half-life of the exponential decay function in seconds, used to model attenuation (default: Inf) |
summate |
A logical value indicating whether to sum the impulse response functions (default: TRUE) If FALSE, the function returns the maximum value at each time point. |
normalize |
A logical value indicating whether to normalize the output so that its peak value is 1 (default: FALSE) |
... |
Additional arguments passed to the HRF function |
A vector of convolved responses at the specified time points
time_points <- seq(0, 20, by = 0.5)
block_response <- convolve_block(time_points, hrf=hrf_spmg1,
width=5, precision=0.2)
plot(time_points, block_response, type='l',
main='Convolved Hemodynamic Response with Block Duration')
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.