Spiking Neurons Stimulus n=spike and afterspike potential urest=resting potential u0=∑"，x同 8(t,u(t))=trace at time t of input at timet ⊙=threshold x(t)=output of neuron j at time t wy=efficacy of synapse from neuron i to neuron j u(t)=input stimulus at time t Response y(0）=fke+7t-1)+∑st,4(女)川 z2⊙& >0→ON f)= dt else→OFF 09/07/2023 Artificial Neural Networks-I 1309/07/2023 Artificial Neural Networks - I 13 Spiking Neurons ( ) =  ( ) j i ij j u t w x t (  ( ( ))) = = + − + t i rest f ui y t f u t t t 0 ( ) ( ) ,     ( )                = else OFF ON dt dz z f z & 0  = spike and afterspike potential urest = resting potential (t,u()) = trace at time t of input at time  = threshold xj (t) = output of neuron j at time t wij = efficacy of synapse from neuron i to neuron j u(t) = input stimulus at time t Response Stimulus