def hh_cell(name):
cell = Cell(name=f"cell_{name}")
soma = cell.add_sec("soma", diam=20, l=20, nseg=10)
cell.add_sec("apic", diam=2, l=50, nseg=100)
cell.insert("hh")
cell.connect_secs(child="apic", parent="soma", child_loc=0, parent_loc=1)
cell.make_spike_detector(soma(0.5))
return cell
def cell_function():
cell = Cell(name="cell")
morpho_path = os.path.join(path, "..", "commons/morphologies/asc/cell1.asc")
cell.load_morpho(filepath=morpho_path)
cell.insert("pas")
cell.insert("hh")
cell.make_spike_detector(seg=cell.filter_secs("soma")(0.5))
return cell
def get_cell_with_iclamps_as_synapses(warmup, dur, name, input_size, low=0.08, high=0.1):
# Create cell
cell = Cell(name=name)
soma = cell.add_sec("soma", diam=10, l=10, nseg=5)
dend = cell.add_sec("dend", diam=5, l=100, nseg=50)
cell.connect_secs(child=dend, parent=soma)
cell.insert("hh")
# Make synapses
iclamp_syns = []
for i in range(input_size):
iclamp = IClamp(segment=dend(np.random.rand()))
syn = iclamp.stim(delay=warmup, dur=dur, amp=UniformDist(low=low, high=high))
iclamp_syns.append(syn)
# Make recording
rec = Record(elements=soma(0.5), variables='v')
cell.make_spike_detector(seg=soma(0.5))
return cell, iclamp_syns, rec
ns_cell = NetStimCell("stim_cell")
ns = ns_cell.make_netstim(start=30, number=5, interval=10)
syns = cell.add_synapses_with_spine(source=ns,
secs=cell.filter_secs("apic"),
mod_name="ExpSyn",
netcon_weight=0.01,
delay=1,
number=100)
soma = cell.filter_secs("soma")
# Create IClamp
ic = IClamp(segment=soma(0.5))
ic.stim(delay=100, dur=10, amp=0.1)
# prepare plots and spike detector
rec_v = Record(soma(0.5), variables="v")
cell.make_spike_detector(soma(0.5))
# run
sim = Simulation(init_v=-65,
warmup=20,
init_sleep=2,
with_neuron_gui=True,
shape_plots=[make_shape_plot()])
sim.run(runtime=200, stepsize=1, delay_between_steps=500)
# plot
cell.plot_spikes()
rec_v.plot()
plt.show()