Package index
-
HRF()
- HRF Constructor Function
-
HRF_GAMMA()
HRF_GAUSSIAN()
HRF_SPMG1()
HRF_SPMG2()
HRF_SPMG3()
HRF_BSPLINE()
HRF_FIR()
- Pre-defined Hemodynamic Response Function Objects
-
acquisition_onsets()
- Get fMRI Acquisition Onset Times
-
amplitudes()
- Get amplitudes from an object
-
block_hrf()
- Create a Blocked HRF Object
-
blockids()
- Get block identifiers
-
blocklens()
- Get block lengths
-
durations()
- Get durations of an object
-
evaluate(<HRF>)
- Evaluate an HRF Object
-
evaluate()
- Evaluate a regressor object over a time grid
-
gen_hrf()
- Construct an HRF Instance using Decorators
-
gen_hrf_blocked()
hrf_blocked()
- Generate a Blocked HRF Function
-
gen_hrf_lagged()
hrf_lagged()
- Generate a Lagged HRF Function
-
getHRF()
- Get HRF by Name
-
global_onsets()
- Convert onsets to global timing
-
hrf_basis_lwu()
- LWU HRF Basis for Taylor Expansion
-
hrf_bspline()
- B-spline HRF (hemodynamic response function)
-
hrf_bspline_generator()
- Create B-spline HRF Basis Set
-
hrf_daguerre_generator()
- Create Daguerre HRF Basis Set
-
hrf_fir_generator()
- Create FIR HRF Basis Set
-
hrf_fourier()
- Fourier basis for HRF modeling
-
hrf_fourier_generator()
- Create Fourier HRF Basis Set
-
hrf_from_coefficients()
- Combine HRF Basis with Coefficients
-
hrf_gamma()
- Gamma HRF (hemodynamic response function)
-
hrf_gaussian()
- Gaussian HRF (hemodynamic response function)
-
hrf_half_cosine()
- Hemodynamic Response Function with Half-Cosine Basis
-
hrf_inv_logit()
- hrf_inv_logit
-
hrf_lwu()
- Lag-Width-Undershoot (LWU) HRF
-
hrf_mexhat()
- Mexican Hat HRF (hemodynamic response function)
-
hrf_sine()
- hrf_sine
-
hrf_spmg1()
- hrf_spmg1
-
hrf_time()
- HRF (hemodynamic response function) as a linear function of time
-
hrf_toeplitz()
- HRF Toeplitz Matrix
-
lag_hrf()
- Lag an HRF Object
-
list_available_hrfs()
- List all available hemodynamic response functions (HRFs)
-
make_hrf()
- Create an HRF from a basis specification
-
nbasis()
- Number of basis functions
-
neural_input()
- Generate Neural Input Function from Event Timing
-
normalise_hrf()
- Normalise an HRF Object
-
onsets()
- Get event onsets from an object
-
penalty_matrix()
- Generate penalty matrix for regularization
-
print(<Reg>)
print(<sampling_frame>)
- Print method for Reg objects
-
reconstruction_matrix()
- Combine HRF Basis with Coefficients
-
regressor()
- Construct a Regressor Object
-
regressor_design()
- Build a Design Matrix from Block-wise Onsets
-
regressor_set()
evaluate(<RegSet>)
- Construct a Regressor Set
-
samples()
- Get sample acquisition times
-
sampling_frame()
- A
sampling_frame
describes the block structure and temporal sampling of an fMRI paradigm.
-
shift()
- Shift a time series object
-
single_trial_regressor()
- Create a single trial regressor