Hello Filip,

I am not quite sure I understand your problem description. You write that "... after the simulation the Nodes top reacting to the noise input and become stuck on the refresh Voltage ...". But in the figure you show, the neurons have V_M ≈ -75 mV ≈ E_L for the first 30 ms, which would correspond to neurons only receiving noise input during this time and afterward seem to spike at roughly 20 ms intervals. It does seem curious that they seem to have a more or less constant membrane potential of ≈ -65 mV between the phases with spiking.

So one question is what happens around 30 ms? The other question is why the "locking" to -65 mV.

Could you send the full simulation script leading to the figure you included? Or even better, a minimal version of it, i.e., a complete, runnable script producing a figure with the effect you showed, but with as few layers and as few neurons per layer as possible?

Best regards,

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

Home http://arken.nmbu.no/~plesser

On 26/07/2021, 14:28, "Filip Blastik" <filipblastik@gmail.com> wrote:

To whom it may concern,

I am writing regarding the problem with giving my topology network noise after simulation with the signal.  The network is oscillating with noise generator which is created as single layer which provides noise for other nodes (which consist of layers).  I stimulate my network with stronger signal(another different layer) and after the simulation the Nodes stop reacting to the noise input and become  stuck on refresh Voltage and its for longer  periods than  refractory period.

The model is derivation of Hill-Tononi example network.

The Nest is running on Ubuntu 20.04 , Conda/Spyder  The nest is version v2.20.1

To visualize the problem  here are the images which illustrate the problem

Here is the snippet of the code with the connections and layer setups

Best regards

Bc. Filip Blaštík