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()