Models that contain the Cell : Multi-timescale adaptive threshold non-resetting leaky integrate and fire

("When the model potential reaches the spike threshold theta(t), a spike is generated. In our model, V(t) is not reset even if the model assumes spikes. Instead, the spike threshold increases when the model assumes a spike and then decays (sometimes as a sum of exponentials) toward the resting value." Kobayashi et al 2009)
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    Models
1. Multi-timescale adaptive threshold model (Kobayashi et al 2009)
2. Multi-timescale adaptive threshold model (Kobayashi et al 2009) (NEURON)

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