Dear Jasper,

 

In NEST 3, this should be possible.

 

Stine or HÃ¥kon, 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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