Hi,
to remember the convention it is useful to think about matrix multiplication x_t+1 = W x_t The weight matrix W projects (or propagates) the the old state at t to the new state at t+1, where x is the state vector.
That's it.
Regards, Markus
On 1/19/21 2:35 PM, Jochen Martin Eppler wrote:
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@gmail.com *Sent:* Tuesday, 19 January 2021 13:04 *To:* NEST User Mailing List users@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_matrices.html <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, _______________________________________________ NEST Users mailing list -- users@nest-simulator.org <mailto:users@nest-simulator.org> To unsubscribe send an email to users-leave@nest-simulator.org <mailto:users-leave@nest-simulator.org>
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-- Dr. Jochen Martin Eppler Phone: +49(2461)61-96653
Simulation Laboratory Neuroscience Jülich Supercomputing Centre Institute for Advanced Simulation
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