I’m used to connecting up populations of neurons by specifying the connection weights between neurons. Can I do this with Nengo?
Yes. Nengo can use any sort of neuron model, including common non-spiking rate neuron models. Indeed, you can even change from spiking neurons to rate neurons in the middle of a simulation, or have a mixture of spiking and rate neurons in your model. Nengo also supports various learning rules.
You can also manually specify the connection weights between two ensembles of neurons. When you make a neuron-to-neuron connection, the transform of this connection is the weight matrix. See the inhibitory gating notebook for an example of a neuron-to-neuron connection.
The link to that inhibitory gating notebook is now dead and I was hoping to look at it. Do yu have a functioning link?
Here is the updated link to the raw notebook https://github.com/nengo/nengo/blob/master/docs/examples/advanced/inhibitory-gating.ipynb .
All of the examples are also available in an easier to read form here https://www.nengo.ai/nengo/examples, including that one https://www.nengo.ai/nengo/examples/advanced/inhibitory-gating.html.