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Hi, no, there is no disconnect, but you can just set all synapses to zero: net.set("IonotropicSynapse_gS", 0.0) # nS or, within a jit: @jit
def simulate()
pstate = None
pstate = net.data_set("IonotropicSynapse_gS", 0.0, pstate)
return jx.integrate(net, param_state=pstate) Hope this helps! |
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This method does have the same effect as removing a synapse, but computationally there are still that many edges in a net |
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I'm wondering if there is a "disconnect" function that deletes some edges in a net. Also wondering if connect/disconnect (thus changing the dimension of net.edge) can be jitted
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