plt.plot(max_log, linewidth=2.0, c='r', label='max fitness')
plt.plot(mean_log, linewidth=2.0, label='mean fitness')
plt.ylim(mean_log.min() - 0.01 * mean_log.min(),
max_log.max() + 0.01 * max_log.max())
plt.ylabel('fitness')
plt.xlabel('number of the generation (G)')
plt.legend(loc=4)
font = {'family': 'sans-serif', 'weight': 'bold', 'size': 32}
plt.rcParams.update({'font.size': 32})
plt.rc('font', **font)
plt.show()
############################################
#
# SAVE ACTIVATION PATTERN AS NIFTI
#
############################################
fluctuation = np.array(best_ind)
activation = np.array(fluctuation)
deactivation = np.array(activation)
deactivation[activation > 0] = 0
deactivation = -deactivation
activation[activation < 0] = 0
# save activation to nifti file
dataset.save_as_nifti(fluctuation, 'prototype_fluctuation')
dataset.save_as_nifti(activation, 'prototype_activation')
dataset.save_as_nifti(deactivation, 'prototype_deactivation')
)
plt.ylabel('fitness')
plt.xlabel('number of the generation (G)')
plt.legend(loc=4)
font = {'family': 'sans-serif',
'weight': 'bold',
'size': 32}
plt.rcParams.update({'font.size': 32})
plt.rc('font', **font)
plt.show()
############################################
#
# SAVE ACTIVATION PATTERN AS NIFTI
#
############################################
fluctuation = np.array(best_ind)
activation = np.array(fluctuation)
deactivation = np.array(activation)
deactivation[activation > 0] = 0
deactivation = -deactivation
activation[activation < 0] = 0
# save activation to nifti file
dataset.save_as_nifti(fluctuation, 'prototype_fluctuation')
dataset.save_as_nifti(activation, 'prototype_activation')
dataset.save_as_nifti(deactivation, 'prototype_deactivation')
