add(Convolution2D(50, 3, 3, border_mode='same', input_shape=input_shape, W_regularizer=l2(0.0005))) model.add(Activation(LeakyReLU(alpha=0.33))) model.add(Convolution2D(100, 3, 3, border_mode='same', W_regularizer=l2(0.0005))) model.add(Activation(LeakyReLU(alpha=0.33))) model.add...
def convolve_regressors(paradigm, hrf_model, names=None, fir_delays=[0], fir_duration=1.0): """ Creation of a formula that represents the convolution of the conditions onset witha certain hrf model Parameters --- paradigm: paradigm instance hrf_model, string that can be 'Canonical', ...