本文整理汇总了Python中neo.core.SpikeTrain.waveforms方法的典型用法代码示例。如果您正苦于以下问题：Python SpikeTrain.waveforms方法的具体用法？Python SpikeTrain.waveforms怎么用？Python SpikeTrain.waveforms使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类neo.core.SpikeTrain的用法示例。
在下文中一共展示了SpikeTrain.waveforms方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: read_spiketrain
# 需要导入模块: from neo.core import SpikeTrain [as 别名]
# 或者: from neo.core.SpikeTrain import waveforms [as 别名]
def read_spiketrain(self ,
# the 2 first key arguments are imposed by neo.io API
lazy = False,
cascade = True,
segment_duration = 15.,
t_start = -1,
channel_index = 0,
):
"""
With this IO SpikeTrain can e acces directly with its channel number
"""
# There are 2 possibles behaviour for a SpikeTrain
# holding many Spike instance or directly holding spike times
# we choose here the first :
if not HAVE_SCIPY:
raise SCIPY_ERR
num_spike_by_spiketrain = 40
sr = 10000.
if lazy:
times = [ ]
else:
times = (np.random.rand(num_spike_by_spiketrain)*segment_duration +
t_start)
# create a spiketrain
spiketr = SpikeTrain(times, t_start = t_start*pq.s, t_stop = (t_start+segment_duration)*pq.s ,
units = pq.s,
name = 'it is a spiketrain from exampleio',
)
if lazy:
# we add the attribute lazy_shape with the size if loaded
spiketr.lazy_shape = (num_spike_by_spiketrain,)
# ours spiketrains also hold the waveforms:
# 1 generate a fake spike shape (2d array if trodness >1)
w1 = -stats.nct.pdf(np.arange(11,60,4), 5,20)[::-1]/3.
w2 = stats.nct.pdf(np.arange(11,60,2), 5,20)
w = np.r_[ w1 , w2 ]
w = -w/max(w)
if not lazy:
# in the neo API the waveforms attr is 3 D in case tetrode
# in our case it is mono electrode so dim 1 is size 1
waveforms = np.tile( w[np.newaxis,np.newaxis,:], ( num_spike_by_spiketrain ,1, 1) )
waveforms *= np.random.randn(*waveforms.shape)/6+1
spiketr.waveforms = waveforms*pq.mV
spiketr.sampling_rate = sr * pq.Hz
spiketr.left_sweep = 1.5* pq.s
# for attributes out of neo you can annotate
spiketr.annotate(channel_index = channel_index)
return spiketr