convolve_dcv_hrf: This function takes in a matrix of generated neural events...
In PennStateDEPENdLab/dependlab: Useful functions for the UNC Chapel Hill DEPENd Lab (Director: Michael Hallquist)
View source: R/deconvolve_funcs.R
convolve_dcv_hrf R Documentation
This function takes in a matrix of generated neural events and
parameters describing the HRF function and convolves the neural
events and HRF function neural events
Description
This function takes in a matrix of generated neural events and
parameters describing the HRF function and convolves the neural
events and HRF function neural events
Usage
convolve_dcv_hrf(NEVgen, kernel)
Arguments
NEVgen
ROIs x time matrix of true neural events generated by the model
kernel
The HRF kernel used for convolution
Author(s)
Keith Bush
PennStateDEPENdLab/dependlab documentation built on Dec. 14, 2024, 7:12 a.m.
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View source: R/deconvolve_funcs.R
| convolve_dcv_hrf | R Documentation |
This function takes in a matrix of generated neural events and parameters describing the HRF function and convolves the neural events and HRF function neural events
Description
This function takes in a matrix of generated neural events and parameters describing the HRF function and convolves the neural events and HRF function neural events
Usage
convolve_dcv_hrf(NEVgen, kernel)
Arguments
NEVgen |
ROIs x time matrix of true neural events generated by the model |
kernel |
The HRF kernel used for convolution |
Author(s)
Keith Bush
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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