19 Jan
2021
19 Jan
'21
1:21 p.m.
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@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…)
?
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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