dnnbrain.brain.algo module

dnnbrain.brain.algo.convolve_hrf(X, onsets, durations, n_vol, tr, ops=100)

Convolve each X’s column iteratively with HRF and align with the timeline of BOLD signal

Parameters

• X (array) – Shape = (n_event, n_sample)

• onsets (array_like) – In sec. size = n_event

• durations (array_like) – In sec. size = n_event

• n_vol (int) – The number of volumes of BOLD signal

• tr (float) – Repeat time in second

• ops (int) – Oversampling number per second

Returns

X_hrfed – The result after convolution and alignment

Return type

array