def test():
from blenderneuron.quick import bn
with Blender(keep=False):
from neuron import h
h.load_file(test_hoc_file)
tc1 = h.TestCell()
tc2 = h.TestCell()
ic = h.IClamp(0.5, sec=tc1.soma)
ic.delay = 1
ic.dur = 3
ic.amp = 0.5
bn.prepare_for_collection()
bn.groups["all"]["3d_data"]["interaction_level"] = "Section"
bn.groups["all"]["3d_data"]["color_level"] = "Segment"
h.run()
bn.to_blender()
self.assertTrue(
bn.run_command(
"return_value = 'TestCell[0].soma' in bpy.data.objects"
))
self.assertTrue(
bn.run_command(
"return_value = 'TestCell[1].soma' in bpy.data.objects"
))
self.assertTrue(
bn.run_command(
"return_value = 'TestCell[0].soma[0]' in bpy.data.materials"
))
self.assertTrue(
bn.run_command(
"return_value = 'TestCell[1].soma[0]' in bpy.data.materials"
))
bn.run_command("bpy.data.scenes['Scene'].frame_current = 0")
self.assertEqual(
bn.run_command(
"return_value = bpy.data.materials['TestCell[0].soma[0]'].emit"
), 0.0)
self.assertEqual(
bn.run_command(
"return_value = bpy.data.materials['TestCell[1].soma[0]'].emit"
), 0.0)
bn.run_command("bpy.data.scenes['Scene'].frame_current = 7")
self.assertEqual(
bn.run_command(
"return_value = bpy.data.materials['TestCell[0].soma[0]'].emit"
), 2.0)
self.assertEqual(
bn.run_command(
"return_value = bpy.data.materials['TestCell[1].soma[0]'].emit"
), 0.0)
def test():
from blenderneuron.quick import bn
with Blender(keep=False):
from neuron import h
h.load_file(test_hoc_file)
tc = h.TestCell()
ic = h.IClamp(0.5, sec=tc.soma)
ic.delay = 1
ic.dur = 3
ic.amp = 0.5
bn.prepare_for_collection()
h.run()
bn.to_blender()
bn.run_command("bpy.data.scenes['Scene'].frame_current = 1;")
self.assertTrue(
bn.run_command(
"return_value = bpy.data.materials['TestCell[0].dendrites[9][0]'].emit"
) == 0.0)
bn.run_command("bpy.data.scenes['Scene'].frame_current = 7;")
self.assertTrue(
bn.run_command(
"return_value = bpy.data.materials['TestCell[0].dendrites[9][0]'].emit"
) == 2.0)
def test():
from blenderneuron.quick import bn
with Blender():
from neuron import h
h.load_file(test_hoc_file)
tc1 = h.TestCell()
tc2 = h.TestCell()
bn.to_blender()
self.assertTrue(
bn.run_command(
"return_value = 'TestCell[0].soma' in bpy.data.objects"
))
self.assertTrue(
bn.run_command(
"return_value = 'TestCell[1].soma' in bpy.data.objects"
))
def test():
from blenderneuron.quick import bn
with Blender():
from neuron import h
h.load_file(test_hoc_file)
# Add one cell
tc1 = h.TestCell()
bn.to_blender()
# Check if it was exported
self.assertTrue(
bn.run_command(
"return_value = 'TestCell[0].soma' in bpy.data.objects"
))
# Add a second cell
tc2 = h.TestCell()
# Refresh sections
bn.refresh()
bn.to_blender()
# Both cells should be in blender
self.assertTrue(
bn.run_command(
"return_value = 'TestCell[0].soma' in bpy.data.objects"
))
self.assertTrue(
bn.run_command(
"return_value = 'TestCell[1].soma' in bpy.data.objects"
))
self.assertTrue(
bn.run_command(
"return_value = len([i for i in bpy.data.objects if 'soma' in i.name]) == 2"
))
def test():
from blenderneuron.quick import bn
with Blender():
from neuron import h
h.load_file(test_hoc_file)
tc = h.TestCell()
bn.to_blender()
self.assertTrue(
bn.run_command(
"return_value = 'TestCell[0].soma' in bpy.data.objects"
))
self.assertTrue(
bn.run_command(
"return_value = len([i for i in bpy.data.objects if 'dendrites' in i.name]) == 31"
))
from neuron import h
h.load_file('TestCell.hoc')
cell1 = h.TestCell()
cell2 = h.TestCell()
cell3 = h.TestCell()
#Position cells side by side
cell1.position(0, -200, 0)
cell3.position(0, 200, 0)
# Insert electrodes
ic1 = h.IClamp(0.5, sec=cell1.soma)
# A distant dendrite
ic2 = h.IClamp(1, sec=cell2.dendrites[29])
# A dendrite on the opposite side of ic2
ic3 = h.IClamp(1, sec=cell3.dendrites[18])
stims = [ic1, ic2, ic3]
# A 1ms long input stimulus at 10ms
for ic in stims:
ic.delay = 10
ic.dur = 1
ic.amp = 1
# Will run the simulation for 20 ms
h.tstop = 20
