def rdtwc(kw):
from nems.plugins import default_keywords
kw = kw[3:]
ms = default_keywords.wc(kw)
del ms['fn_kwargs']['i']
del ms['fn_kwargs']['o']
ms['fn'] = 'nems_lbhb.rdt.weight_channels.gaussian'
return ms
def ctwc(kw):
'''
Same as nems.plugins.keywords.fir but renamed for contrast
to avoid confusion in the modelname and allow different
options to be supported if needed.
'''
m = wc(kw[2:])
m['fn_kwargs'].update({'i': 'contrast', 'o': 'ctpred'})
return m
def gcwc(kw):
m = wc(kw[2:])
m['fn_kwargs'].update({'ci': 'contrast', 'co': 'ctpred'})
m['fn'] = 'nems_lbhb.gcmodel.modules.weight_channels'
plot = 'nems_lbhb.gcmodel.guiplots.contrast_spectrogram'
if m.get('plot_fns'):
m['plot_fns'].append(plot)
else:
m['plot_fns'] = [plot]
return m