Thanks Jochen. So do I take it there will be no alternative in NEST 3 except to restart
the kernel for each run?
Regards,
Julian
----- Original Message -----
From: "Jochen Martin Eppler" <j.eppler(a)fz-juelich.de>
To: "users" <users(a)nest-simulator.org>
Sent: Wednesday, 27 November, 2019 16:04:29
Subject: [NEST Users] Re: NEST network object
Hi!
tldr; ResetNetwork is deprecated in NEST 2.x and will be gone in NEST 3.
From the docs
(
https://nest-simulator.readthedocs.io/en/latest/guides/running_simulations.…):
The ResetNetwork() function available in NEST 2 is incomplete in
that it only resets the state of neurons and devices to default values
and deletes spikes that are in the delivery pipeline. It does does not
reset plastic synapses or delete spikes from the spike buffers of
neurons. We will therefore remove the function in NEST 3 and already
now advise against using ResetNetwork().
Best regards,
Jochen!
On 27.11.19 15:00, Julian Martin Leslie Budd wrote:
Hi Andrew
Hi Andrew
For pynest, you might want to look at ResetNetwork() or
CopyModel(existing, new, params=None) commands
(
https://www.nest-simulator.org/part-2-populations-of-neurons/) to see
if this is what you need. For sli, see
https://www.nest-simulator.org/helpindex/cc/ResetNetwork.html and
https://www.nest-simulator.org/helpindex/cc/CopyModel.html.
Regards,
Julian
------------------------------------------------------------------------
*From: *"Charl Linssen" <nest-users(a)turingbirds.com>
*To: *"users" <users(a)nest-simulator.org>
*Sent: *Wednesday, 27 November, 2019 14:54:45
*Subject: *[NEST Users] Re: NEST network object
Dear Andrew,
Please forgive our late reply; virtually the entire NEST development
team is currently attending a conference and has been very busy with
preparations.
There is no such thing as a "deep copy" for networks. It is also
difficult to reset a network back to its initial state in a generic
manner. However, it is possible to call nest.Simulate() repeatedly.
Could it be a solution to simulate your network, perform analysis on the
data recorded by the instrumentation, and then manually reset the
network to a suitable initial state, before calling Simulate() again?
This way, you would avoid the overhead of having to re-connect the
network. The manual reset could involve e.g. resetting membrane
potentials on the nodes in your network.
Please let us know if this works for you.
Kind regards,
Charl Linssen
On Tue, Nov 26, 2019, at 12:39, alehr wrote:
Dear NEST developer,
I am wondering if my inquiry from November 11th has been looked at.
Thanks,
Andrew Lehr
On Mon, Nov 11, 2019 at 1:52 PM alehr <alehr(a)mun.ca
<mailto:alehr@mun.ca>> wrote:
Dear NEST developer,
I would like to initialize a network with neurons and
connections and then run many simulations with it. It would be
great if I could build the network one time and then deepcopy
(or something similar) for each simulation. Is something like
this possible?
Thanks,
Andrew Lehr
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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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Forschungszentrum Juelich GmbH
52425 Juelich
Sitz der Gesellschaft: Juelich
Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498
Vorsitzender des Aufsichtsrats: MinDir Volker Rieke
Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender),
Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt,
Prof. Dr. Sebastian M. Schmidt
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