Hey everyone,

I’ve just started using brian, and I’m loving it so far, thanks for developing this great software (and documenting it so well).

I’m trying to implement a network of two populations which behaves as a ring attractor as done in this and this paper.

I have implemented a network with two populations and synapses connecting them etc, but currently I have simple LIF neurons, instead of “conductance-based synaptic transmission” ones they have.

is the equation I’m currently using (ta is a `TimedArray`

of inputs), but in the papers they have;

with P \in \{L, Ext, E, I \} and L=leaky, Ext=external inputs population, E/I=excitatory/inhibitory, g^P are gating variables, s^P are synaptic scale variables and V_P are reverse potentials.

I could implement this myself, but I was hoping someone had similar models that I could use as a starting point to save time.

Also, if anyone has an example of a ring attractor network implemented in brian2 that would be awesome and I’d love to have a look at it.

Thanks,

Federico