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Create a 4x3 grid with one pyramidal cell and one interneuron at each positionΒΆ
BCCN Tutorial @ CNS*09 Hans Ekkehard Plesser, UMB
import nest
import matplotlib.pyplot as plt
import numpy as np
nest.ResetKernel()
nest.CopyModel('iaf_psc_alpha', 'pyr')
nest.CopyModel('iaf_psc_alpha', 'in')
pos = nest.spatial.grid(shape=[4, 3], extent=[2., 1.5])
ctx_pyr = nest.Create('pyr', positions=pos)
ctx_in = nest.Create('in', positions=pos)
nest.PrintNodes()
# extract position information
ppyr = nest.GetPosition(ctx_pyr)
pin = nest.GetPosition(ctx_in)
ppyr_x = np.array([x for x, y in ppyr])
ppyr_y = np.array([y for x, y in ppyr])
pin_x = np.array([x for x, y in pin])
pin_y = np.array([y for x, y in pin])
# plot
plt.clf()
plt.plot(pin_x - 0.05, ppyr_y - 0.05, 'bo', markersize=20,
label='Pyramidal', zorder=2)
plt.plot(pin_x + 0.05, pin_y + 0.05, 'ro', markersize=20,
label='Interneuron', zorder=2)
plt.plot(pin_x, ppyr_y, 'o', markerfacecolor=(0.7, 0.7, 0.7),
markersize=60, markeredgewidth=0, zorder=1, label='_nolegend_')
# beautify
plt.axis([-1.0, 1.0, -1.0, 1.0])
plt.axes().set_aspect('equal', 'box')
plt.axes().set_xticks((-0.75, -0.25, 0.25, 0.75))
plt.axes().set_yticks((-0.5, 0, 0.5))
plt.grid(True)
plt.xlabel('4 Columns, Extent: 1.5')
plt.ylabel('3 Rows, Extent: 1.0')
plt.legend(numpoints=1)
plt.show()
# plt.savefig('ctx_2n.png')
Total running time of the script: ( 0 minutes 0.000 seconds)