Tutorial on how to simulate rate-based networks

[michaeldeistler]

This probably does not warrant a full tutorial, but maybe an FAQ?

import jaxley as jx
from jaxley.channels import Leak
from jaxley.connect import fully_connect
from jaxley.synapses import TanhRateSynapse

num_cells = 100
cell = jx.Cell()  # Create a point-neuron.
net = jx.Network([cell for _ in range(num_cells)])  # Assemble into a network.

net.insert(Leak())  # Add a leak to achieve dynamics like ```C * dV/dt = -gLeak * (ELeak - V)```
net.set("Leak_eLeak", 0.0)  # Center the dynamics around zero.

fully_connect(net.cell("all"), net.cell("all"), TanhRateSynapse())

net.set("capacitance", 2.0)  # Change the capacitance (i.e. the time constant).