Dear Jasper,
In NEST 3, this should be possible.
Stine or Håkon, could you provide some advice?
Best,
Hans Ekkehard
--
Prof. Dr. Hans Ekkehard Plesser
Head, Department of Data Science
Faculty of Science and Technology
Norwegian University of Life Sciences
PO Box 5003, 1432 Aas, Norway
Phone +47 6723 1560
Email hans.ekkehard.plesser@nmbu.no
Home http://arken.nmbu.no/~plesser
On 06/04/2021, 12:05, "Albers, Jasper" <j.albers@fz-juelich.de> wrote:
Dear all,
a colleague of mine (in CC) and myself are implementing a spatially structured network in NEST (using current NEST master). We are wondering how to generate a population of neurons that are distributed on a regular grid plus a random jitter. This means that we want to end up with a spatial distribution as can be seen in Figure 8 in the tutorial for creating spatially structured networks. Below that figure one finds a code snippet; however, we believe that this does not correspond to the distribution of Figure 8.
In the documentation of NEST 2.20.1 we did find a code snippet that produces a jittered grid:
import numpy as np
# grid with jitter
jit = 0.03
xs = np.arange(-0.5,.501,0.1)
poss = [[x,y] for y in xs for x in xs]
poss = [[p[0]+np.random.uniform(-jit,jit),p[1]+np.random.uniform(-jit,jit)] for p in poss]
layer_dict_ex = {"positions": poss,
"extent" : [1.1,1.1],
"elements" : "iaf_psc_alpha"}
As is apparent, this code does not make use of NEST internal random number generation but rather produces a list of positions that is then passed to a layer.
Thus our question is: is it possible to create a jittered grid natively in NEST master?
Best regards,
Jasper and Anno
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