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+1.3999575 -0.049810868 +1.39996 -0.04981047 +1.3999625 -0.04981007 +1.399965 -0.049809672 +1.3999676 -0.049809273 +1.39997 -0.049808875 +1.3999726 -0.049808476 +1.399975 -0.049808078 +1.3999774 -0.04980768 +1.39998 -0.049807284 +1.3999825 -0.049806885 +1.399985 -0.049806487 +1.3999875 -0.04980609 +1.39999 -0.04980569 +1.3999925 -0.04980529 +1.399995 -0.049804892 +1.3999975 -0.049804494 +1.4 -0.049804095 diff --git a/NeuroML2/examples/hindmarshrose.py b/NeuroML2/examples/hindmarshrose.py new file mode 100644 index 0000000..48523b7 --- /dev/null +++ b/NeuroML2/examples/hindmarshrose.py @@ -0,0 +1,49 @@ +#!/usr/bin/env python3 +""" +Simulating a regular spiking HR neuron with NeuroML. + +File: hindmarshrose.py +""" + +from neuroml import NeuroMLDocument +import neuroml.writers as writers +from neuroml.utils import component_factory, validate_neuroml2 +from pyneuroml import pynml +from pyneuroml.plot import generate_plot +from pyneuroml.lems import LEMSSimulation +import numpy as np + +nml_doc = component_factory("NeuroMLDocument", id="HindmarshRoseNeuron") +hr0 = nml_doc.add("HindmarshRose1984Cell", id="hr_regular", a="1.0", b="3.0", c="-3.0", d="5.0", s="4.0", x1="-1.3", r="0.002", x0="-1.1", y0="-9", z0="1.0", C="28.57142857pF", v_scaling="35.0mV") +net = nml_doc.add("Network", id="HRNet", validate=False) +# Create a population of defined cells and add it to the model +pop0 = net.add("Population", id="HRPop0", component=hr0.id, size=1) + +# add external stimulus it to the model +pg = nml_doc.add("PulseGenerator", id="pulseGen_%i" % 0, delay="0s", duration="1000s", amplitude="5nA") +exp_input = net.add("ExplicitInput", target="%s[%i]" % (pop0.id, 0), input=pg.id, destination="synapses") + +# Write the NeuroML model to a file +nml_file = 'hindmarshrose1984_single_cell_network.nml' +writers.NeuroMLWriter.write(nml_doc, nml_file) + +# Validate the NeuroML model against the NeuroML schema +validate_neuroml2(nml_file) + +# Create a simulation instance of the model +simulation_id = "example-single-hindmarshrose1984cell-sim" +simulation = LEMSSimulation(sim_id=simulation_id, duration=1.4e3, dt=0.0025, simulation_seed=123) +simulation.assign_simulation_target(net.id) +simulation.include_neuroml2_file(nml_file) + +# Define the output file and record membrane potential +simulation.create_output_file("output0", "%s.v.dat" % simulation_id) +simulation.add_column_to_output_file("output0", 'HRPop0[0]', 'HRPop0[0]/v') + +# Save and run the simulation using the jNeuroML simulator +lems_simulation_file = simulation.save_to_file() +pynml.run_lems_with_jneuroml(lems_simulation_file, max_memory="2G", nogui=True, plot=False) + +# load data and plot +data_array = np.loadtxt("%s.v.dat" % simulation_id) +generate_plot([data_array[:, 0]], [data_array[:, 1]], "Membrane potential", show_plot_already=True, save_figure_to="%s-v.png" % simulation_id, xaxis="time (s)", yaxis="membrane potential (V)", font_size=16, bottom_left_spines_only=True) diff --git a/NeuroML2/examples/hindmarshrose1984_single_cell_network.nml b/NeuroML2/examples/hindmarshrose1984_single_cell_network.nml new file mode 100644 index 0000000..34a0ca9 --- /dev/null +++ b/NeuroML2/examples/hindmarshrose1984_single_cell_network.nml @@ -0,0 +1,8 @@ + + + + + + + +