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.  Frontiers Media SA Frontiers in Neuroinformatics. 15:609147 doi

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

Home http://arken.nmbu.no/~plesser

 

 

 

From: prao2@uw.edu <prao2@uw.edu>
Date: Friday, 5 January 2024 at 19:58
To: users@nest-simulator.org <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/91a02ed98017224deabe25e8e08bcfdada51ff65/models/stdp_synapse.h)

Thanks in advance!

Best,
Priyanka Rao
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