Hi Priyanka,
You should not need to go through the Dictionary, that causes much overhead. Since you are
at the C++ level, you can use ArchivingNode interface functions directly.
`get_spiketime_ms()` would be the right method for that. I see that it it protected,
although I cannot see why, it could be part of the public interface of the class. You
could create a PR to move it to the public interface. On the other hand, you have the
`get_history()` method in the public interface. It does more than just getting the last
spike time, but may be useful as well. For details, see Morrison et al, 2007.
Best,
Hans Ekkehard
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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<mailto:hans.ekkehard.plesser@nmbu.no>
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From: Priyanka Rao <prao2(a)uw.edu>
Date: Wednesday, 7 February 2024 at 02:36
To: NEST User Mailing List <users(a)nest-simulator.org>
Subject: [NEST Users] Re: STDP synapse t_spike and t_lastspike clarification
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Thank you!
I was wondering if there is an existing way to get the last spike of the postsynaptic
neuron? I am trying the below and it isn't working as expected:
Node* target = get_target( t );
ArchivingNode* archivingTarget = dynamic_cast<ArchivingNode*>(target);
DictionaryDatum status( new Dictionary );
archivingTarget->get_status(status);
double post_synaptic_last_spike = ( *status )[ names::t_spike ];
Thank you,
Priyanka Rao
On Sun, Jan 7, 2024 at 1:44 PM Hans Ekkehard Plesser
<hans.ekkehard.plesser@nmbu.no<mailto:hans.ekkehard.plesser@nmbu.no>> wrote:
Dear Priyanka,
You are right, t_spike is the time of the spike passing through the synapse now,
t_lastspike the time of the previous spike passing through the synapse. These are the
times at which spikes were emitted by the presynaptic neuron.
For details on the algorithm, see the following paper, especially the appendix:
Morrison, A., A. Aertsen, and M. Diesmann. “Spike-Time Dependent Plasticity in Balanced
Recurrent Networks.” Neural Computation 19 (2007): 1437–67.
For more complex third-factor learning rules, you may want to look at
· Stapmanns J, Hahne J, Helias M, Bolten M, Diesmann M and Dahmen D (2021) Event-Based
Update of Synapses in Voltage-Based Learning Rules.
<https://urldefense.com/v3/__https:/doi.org/10.3389/fninf.2021.609147__;!!K-Hz7m0Vt54!mizz2G768ZyxtG1XZlTSjxDr6s3T6RZDpWRFiCts21qHTuPl4kn04mGJ0d3dTELTSsCEnut6aP3uInQe5BIORxlBww$>
Frontiers Media SA Frontiers in Neuroinformatics. 15:609147
doi<https://urldefense.com/v3/__http:/dx.doi.org/10.3389/fninf.2021.6091…
Best,
Hans Ekkehard
--
Prof. Dr. Hans Ekkehard Plesser
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<mailto:hans.ekkehard.plesser@nmbu.no>
Home
http://arken.nmbu.no/~plesser<https://urldefense.com/v3/__http:/arken.nm…
From: prao2@uw.edu<mailto:prao2@uw.edu>
<prao2@uw.edu<mailto:prao2@uw.edu>>
Date: Friday, 5 January 2024 at 19:58
To: users@nest-simulator.org<mailto:users@nest-simulator.org>
<users@nest-simulator.org<mailto:users@nest-simulator.org>>
Subject: [NEST Users] STDP synapse t_spike and t_lastspike clarification
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Dear all,
I am trying to develop a new synapse model that uses the activity of the postsynaptic
neuron. I'm looking at the STDP synapse to understand how it gets the target neuron
history, and I wanted to clarify: are t_spike and t_lastspike the time stamps for the last
spike of the presynaptic or postsynaptic neuron? I am looking at the send method of
stdp_synapse.h
(
https://github.com/nest/nest-simulator/blob/91a02ed98017224deabe25e8e08bcfd…)
Thanks in advance!
Best,
Priyanka Rao
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