Dear Renato, dear Ing,
While I agree with Renato about the fact that this convention is commonly used, I also
agree with Ing that it might be not clear to everyone.
Would one of you be willing (and able) to create a small pull request fixing the order
and adding a short comment along the lines Ing presented, so other users don't get
confused in the same way?
Many thanks,
Jochen!
On 19.01.21 13:21, Ing Jyh Tsang wrote:
Hi,
Right, in that case I would switch the order when assigning :
W_EE = np.zeros([len(E_neurons), len(E_neurons)])
W_IE = np.zeros([len(E_neurons), len(I_neurons)])
W_EI = np.zeros([len(I_neurons), len(E_neurons)])
W_II = np.zeros([len(I_neurons), len(I_neurons)])
So it would give a hint of the convention (at least for me), but as you said it is a
convention, and indeed I was confused by it.
Thanks a lot.
*From:*Renato Duarte <rcfduarte(a)gmail.com>
*Sent:* Tuesday, 19 January 2021 13:04
*To:* NEST User Mailing List <users(a)nest-simulator.org>
*Subject:* [NEST Users] Re: Plot weight matrices example
Hello,
The use of "post-pre" notation when referring to synaptic connections is common
practice in computational neuroscience.
It does often give rise to some confusion, but it is common, for example, to refer to a
synaptic connection from neuron j to neuron i as ij (post<-pre).
This is the notation used in this example, where we refer to the connection from
inhibitory to excitatory neurons (I->E) as EI (post-pre) and connections from
excitatory to inhibitory neurons (E->I) as IE (post-pre).
It is just a matter of convention.
Best regards,
Renato Duarte
On Jan 19 2021, at 12:43 pm, Ing Jyh Tsang <ingjyh.tsang(a)uantwerpen.be
<mailto:ingjyh.tsang@uantwerpen.be>> wrote:
HI,
I may be mistaken, but isn't the EI and IE index switched
(
https://nest-simulator.readthedocs.io/en/stable/auto_examples/plot_weight_m…
<https://nest-simulator.readthedocs.io/en/stable/auto_examples/plot_weight_matrices.html>)
?
a_EI = nest.GetConnections(I_neurons, E_neurons)
c_EI = nest.GetStatus(a_EI, keys='weight')
a_IE = nest.GetConnections(E_neurons, I_neurons)
c_IE = nest.GetStatus(a_IE, keys='weight')
for idx, n in enumerate(a_EI):
W_EI[n[0] - min(I_neurons), n[1] - min(E_neurons)] += c_EI[idx]
for idx, n in enumerate(a_IE):
W_IE[n[0] - min(E_neurons), n[1] - min(I_neurons)] += c_IE[idx]
Thanks,
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Dr. Jochen Martin Eppler
Phone: +49(2461)61-96653
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Simulation Laboratory Neuroscience
Jülich Supercomputing Centre
Institute for Advanced Simulation
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