def get_cell(neuron_name):
"""
Function that loads a cell using the name of the neuron.
"""
nrn_full = os.path.join(dir_model, neuron_name)
cell_list = blue_brain.load_model(nrn_full, suppress=True)
cell = cell_list[0]
cell.tstartms = 0
cell.tstopms = 200
# Find the principal component axes and rotate cell.
axes = LFPy_util.data_extraction.find_major_axes()
# Aligns y to axis[0] and x to axis[1]
LFPy_util.rotation.alignCellToAxes(cell, axes[0], axes[1])
return cell
def get_cell(neuron_name):
"""
Function that loads a cell using the name of the neuron.
"""
nrn_full = os.path.join(DIR_MODELS, neuron_name)
cell_list = blue_brain.load_model(nrn_full, suppress=True)
cell = cell_list[0]
cell.tstartms = 0
cell.tstopms = 200
# Find the principal component axes and rotate cell.
axes = LFPy_util.data_extraction.find_major_axes()
# A quickfix for flipping axes so the neurons lie in
# the same direction. Not a very elegant solution.
for i, axis in enumerate(axes):
if axis.sum() < 0:
axes[i] = -axis
# Aligns y to axis[0] and x to axis[1]
LFPy_util.rotation.alignCellToAxes(cell, axes[0], axes[1])
return cell
