def setUp(self):
self.values=[]
nb_cells = 10
frequencies = np.arange(0,100,10)
for idx in xrange(nb_cells):
sig = np.sin(2*3.14*frequencies[idx]*np.arange(1000))
for val in sig:
self.values.append((idx, val))
self.analog = analogs.VmList(self.values, range(10), 0.1)
try:
os.mkdir("Plots")
except Exception:
pass
def read_analogs(self, type, params):
p = self.__check_params(params)
data = self.get_data()
data, p = self._fix_id_list(data, p)
from NeuroTools.signals import analogs
if type == "vm":
return analogs.VmList(data, p['id_list'], p['dt'], p['t_start'], p['t_stop'], p['dims'])
elif type == "current":
return analogs.CurrentList(data, p['id_list'], p['dt'], p['t_start'], p['t_stop'], p['dims'])
elif type == "conductance":
if len(data[0,:]) > 2:
g_exc = analogs.ConductanceList(data[:,[0,1]] , p['id_list'], p['dt'], p['t_start'], p['t_stop'], p['dims'])
g_inh = analogs.ConductanceList(data[:,[0,2]] , p['id_list'], p['dt'], p['t_start'], p['t_stop'], p['dims'])
return [g_exc, g_inh]
else:
return analogs.ConductanceList(data, p['id_list'], p['dt'], p['t_start'], p['t_stop'], p['dims'])