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%matplotlib inline
NEST Topology Module Example
Create layer of 12 freely placed iaf_psc_alpha neurons, visualize
BCCN Tutorial @ CNS*09 Hans Ekkehard Plesser, UMB
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import nest
import pylab
import random
import nest.topology as topo
pylab.ion()
nest.ResetKernel()
# generate list of 12 (x,y) pairs
pos = [[random.uniform(-0.75, 0.75), random.uniform(-0.5, 0.5)]
for j in range(12)]
l1 = topo.CreateLayer({'extent': [2., 1.5],
'positions': pos,
'elements': 'iaf_psc_alpha'})
nest.PrintNetwork()
nest.PrintNetwork(2)
nest.PrintNetwork(2, l1)
topo.PlotLayer(l1, nodesize=50)
# beautify
pylab.axis([-1.0, 1.0, -0.75, 0.75])
pylab.axes().set_aspect('equal', 'box')
pylab.axes().set_xticks((-0.75, -0.25, 0.25, 0.75))
pylab.axes().set_yticks((-0.5, 0, 0.5))
pylab.grid(True)
pylab.xlabel('4 Columns, Extent: 1.5')
pylab.ylabel('2 Rows, Extent: 1.0')
# pylab.savefig('grid_iaf_irr.png')