Spatial networks: 4x3 grid for three populationsΒΆ

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Create three populations of iaf_psc_alpha neurons on a 4x3 grid, each with different center.

BCCN Tutorial @ CNS*09 Hans Ekkehard Plesser, UMB

import matplotlib.pyplot as plt
import nest
import numpy as np

for ctr in [(0.0, 0.0), (-2.0, 2.0), (0.5, 1.0)]:

    l1 = nest.Create("iaf_psc_alpha", positions=nest.spatial.grid(shape=[4, 3], extent=[2.0, 1.5], center=ctr))

    nest.PlotLayer(l1, nodesize=50, fig=plt.gcf())

    # beautify
    plt.axis([-3, 3, -3, 3])
    plt.axes().set_aspect("equal", "box")
    plt.axes().set_xticks(np.arange(-3.0, 3.1, 1.0))
    plt.axes().set_yticks(np.arange(-3.0, 3.1, 1.0))
    plt.xlabel(f"4 Columns, Extent: 1.5, Center: {ctr[0]:.1f}")
    plt.ylabel(f"2 Rows, Extent: 1.0, Center: {ctr[1]:.1f}")
    # plt.savefig('grid_iaf_oc_{}_{}.png'.format(ctr[0], ctr[1]))

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