More features around the new LIF - Poisson spike train tutorial #388
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Expands on #370 .
The main correctness change is that all continuous events with the same spiking condition (aka
some_LIF_like_neuron.V ~ threshold) are being accumulated in aDictinBloxConnectorand a single funtional affect is built for them duringsystem_from_graph. This ensures that all affects will take place (there is an MTK issue where continuous events with the same condition are not all triggered).Fixes some units on the conductances of the new LIF neurons.
Expands
PoissonSpikeTrainby allowing the spiking rate to be sampled from a distribution, given some sampling interval.