[NEST Users] Re: NeuronUnit interface to NEST Adexp model.

Hi Russell, If you run experiments with different currents, do you do something like model = NESTADEXP(nest=nest, attrs=model_params) model.inject_square_current(inject_param_1) model.inject_square_current(inject_param_2) model.inject_square_current(inject_param_3) with different parameter dictionaries? Looking at the code for your Izhi adapter, it seems that you create a single neuron instance in the NESTADEXP constructor and then run repeated simulations on that one neuron instance by repeated Simulate() calls. In this case, there is no reset at all: the second simulation continues where the first ended, and so on. Thus, later runs will be influenced by earlier runs. Furthermore, you need to be careful about start/stop for the dc generator since these are absolute points in time for the dc_generator, so if you need to move them forward as you go from simulation to simulation. To get independent results, create a new network for each simulation you want to perform or create many neurons each with its own input and simulate them together. That is probably most efficient if you can work in batches. Best, Hans Ekkehard -- Prof. Dr. Hans Ekkehard Plesser Head, 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 On 10/11/2021, 08:43, "Russell J. Jarvis" <russelljarvis@protonmail.com<mailto:russelljarvis@protonmail.com>> wrote: Hi there NEST community, I am trying to build an interface between NEST reduced cell models (Izhikevich/AdExp) and NeuronUnit<https://github.com/russelljjarvis/NESTNeuronUnit>it>. For example here is one such interface<https://github.com/russelljjarvis/NESTNeuronUnit/blob/master/n… I find that if I run a single current injection experiment using the interface I get an expected number of spikes, but if I keep re-using the same interface in more and more experiments I get the same or similar number of spikes even with different current injection values. Its as if the initial conditions of the model are not re-setting properly. I wonder if there are any ideas of things I could check. This simple file works okay<https://github.com/russelljjarvis/NESTNeuronUnit/blob/master/test_i…py>, but it only has one simulation run. Russell Jarvis (he,him) PhD Neuroscience Personal Website<https://russelljjarvis.github.io/home/> I acknowledge the Dja Dja Wurrung and Taungurung Owners and Custodians of the lands on which I live and work and pay my respect to Elders past, present and future. phone: 61444576301 email: russelljarvis@protonmail.com<mailto:russelljarvis@protonmail.com> Sent with ProtonMail<https://protonmail.com/> Secure Email.