Good evening,

I’m studying Nengo simulator and I have some doubts about the input current J: in order to understand how it works, I have realized a very simple network with one RS Izhikevich neuron connected with a `nengo.Node`

.

```
import numpy as np
from scipy import signal
import os
import nengo
model = nengo.Network()
with model:
#### INPUT
#Square wave at 10 Hz
stim_pre = nengo.Node(lambda t: 4*(signal.square(2 * np.pi * 10 * t, duty=0.5)+ 1))
#stim_pre = nengo.Node([.5])
ens = nengo.Ensemble(n_neurons=1, dimensions=1, neuron_type = nengo.Izhikevich())
nengo.Connection(stim_pre, ens.neurons)
### Probe
spike_pre = nengo.Probe(ens.neurons)
#Voltage
pre_voltage = nengo.Probe(ens.neurons, 'voltage')
#Stimuli
prestim=nengo.Probe(stim_pre)
with nengo.Simulator(model, dt = 0.001) as sim:
sim.run(1)
time=sim.trange()
```

I have assigned to the `nengo.Node`

different values:

- Constant value J = 8;
- Constant value J = 0.5;
- Square wave with amplitude J = 8;

I get some results that I cannot understand, as the attached figure shows: to understand what is going on, I have looked at the implementation of the neurons, considering that the voltage of the neurons has [mV] as order of magnitude.

`dV = (0.04 * voltage ** 2 + 5 * voltage + 140 - recovery + J) * 1000`

So, also the current J has some order of magnitude or I have misunderstood how the `nengo.Node`

works and how it provides current to the neuron?

In general, if I had n neurons inside the ensemble and I created this connection `nengo.Connection(input_node,ensemble)`

, each of them would receive the same current I have declared?

Thank you in advance, I hope you can help me.

Kind regards

Emanuele