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what does activation function become in spiking neural network?

In common ANN, nodes are based on a activation function, like a sigmoid or tanh or ReLU. Updates of synaptic weight are based on the derivative of this function.

When node are represented with spiking neurons, what does activation function become ? how updates of synaptic weight are done ?