Dear Petia,
Please excuse my late reply to your questions about restoring NEST simulations. For some reason, your mail had disappeared from my computer.
The behaviour you observe is as expected. When storing and then re-loading and continuing the simulation, a number of things will be different in the second part of the simulation:
* Any spikes that were in transit from pre- to postsynaptic neuron are lost. * Random number generators re-start from a different point then where they stopped. * Internal properties of neuron models, such as the state of GSL-based ODE integrators for nonlinear neuron models.
There is currently no way to avoid this loss of information.
Best regards, 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.nomailto:hans.ekkehard.plesser@nmbu.no Home http://arken.nmbu.no/~plesser
Dear Hans Ekkerad, Thank you for reply. Meanwhile I read carefully NEST documentation and discovered the reasons for our problem too.
I know that it is hard to solve problem. Hopefully in future it will be resolved somehow.
My suggestion is to allow keeping the individual post-synaptic currents (PSCs) too. Now we are able to keep only membrane potential. Solving ODEs is annother issue that seems too hard to be solved. Best,Petia
On Monday, March 11, 2024 at 01:32:59 PM GMT+2, Hans Ekkehard Plesser hans.ekkehard.plesser@nmbu.no wrote:
Dear Petia,
Please excuse my late reply to your questions about restoring NEST simulations. For some reason, your mail had disappeared from my computer.
The behaviour you observe is as expected. When storing and then re-loading and continuing the simulation, a number of things will be different in the second part of the simulation:
- Any spikes that were in transit from pre- to postsynaptic neuron are lost. - Random number generators re-start from a different point then where they stopped. - Internal properties of neuron models, such as the state of GSL-based ODE integrators for nonlinear neuron models.
There is currently no way to avoid this loss of information.
Best regards,
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
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