def singlepop(steady_state, tau_m=.02, p0=((0.,),(1.,)), weights={'distribution':'delta', 'loc':.005}, bgfr=100, network_update_callback=lambda s: None, update_method='approx', simulation_configuration=None, tol=None):
# Settings:
t0 = 0.
dt = .001
dv = .001
v_min = -.01
v_max = .02
tf = .1
# Create simulation:
b1 = ExternalPopulation(bgfr)
i1 = InternalPopulation(v_min=v_min, tau_m=tau_m, v_max=v_max, dv=dv, update_method=update_method, p0=p0, tol=tol)
b1_i1 = Connection(b1, i1, 1, weights=weights)
network = Network([b1, i1], [b1_i1], update_callback=network_update_callback)
if simulation_configuration is None:
simulation_configuration = SimulationConfiguration(dt, tf, t0=t0)
simulation = Simulation(network=network, simulation_configuration=simulation_configuration)
simulation.run()
b1.plot()
i1.plot_probability_distribution()
i1.plot()
assert i1.n_edges == i1.n_bins+1
# Test steady-state:
np.testing.assert_almost_equal(i1.get_firing_rate(.05), steady_state, 12)
def singlepop(steady_state, tau_m=.02, p0=((0.,),(1.,)), weights={'distribution':'delta', 'loc':.005}, bgfr=100, network_update_callback=lambda s: None, update_method='approx', simulation_configuration=None, tol=None, checkpoint_callback=None, nsyn=1):
# Settings:
t0 = 0.
dt = .001
dv = .001
v_min = -.01
v_max = .02
tf = .1
# Create simulation:
b1 = ExternalPopulation(bgfr)
i1 = InternalPopulation(v_min=v_min, tau_m=tau_m, v_max=v_max, dv=dv, update_method=update_method, p0=p0, tol=tol)
b1_i1 = Connection(b1, i1, nsyn, weights=weights)
network = Network([b1, i1], [b1_i1], update_callback=network_update_callback)
if simulation_configuration is None:
simulation_configuration = SimulationConfiguration(dt, tf, t0=t0)
simulation = Simulation(network=network, simulation_configuration=simulation_configuration, checkpoint_callback=checkpoint_callback)
simulation.run()
b1.plot()
i1.plot_probability_distribution()
i1.plot()
assert i1.n_edges == i1.n_bins+1
# Test steady-state:
np.testing.assert_almost_equal(i1.get_firing_rate(.05), steady_state, 12)
#
b1 = ExternalPopulation(bgfr, record=False)
i1 = InternalPopulation(tau_m=.05, v_min=0, v_max=1, dv=dv, update_method = 'gmres')
# i1 = InternalPopulation(tau_m=.05, v_min=0, v_max=1, dv=dv, update_method = 'gmres', p0=(i_tmp.edges.tolist(), p0), initial_firing_rate=f0)
b1_i1 = Connection(b1, i1, nsyn_bg, weights=weight, delays=0.0)
i1_i1 = Connection(i1, i1, nsyn_recc, weights=weight, delays=0.0)
#
# be = ExternalPopulation(get_infinitesimal_perturbation(.1,.0005,.001), record=False)
# be_i1 = Connection(be, i1, 1, weights=weight, delays=0.0)
#
#
def chirp_fcn(n):
print n.t, ss_fr, n.population_list[1].curr_firing_rate
network = Network([b1, i1], [b1_i1, i1_i1], update_callback=chirp_fcn)
network.run(tf=5, dt=.0001)
i1.plot()
plt.show()
# def chirp(n):
# print n.t
#
# network = Network([b1, i1], [b1_i1, i1_i1], update_callback=chirp)
# network.run(tf=5, dt=.0001)
#
# ss_fr = i1.firing_rate_record[-1]
#
# # print ss_fr
# i1.plot()
# plt.show()
