Inhibitory inputs increase a neurons's firing rate
Neurons are typically thought of as receiving information primarily through excitatory inputs, with inhibitory inputs playing a gating or regulating role. In this paper we demonstrate that increasing the strength of inhibitory inputs to the HodgkinHuxley and FitzHughNagumo models can induce them to fire faster. This result is counter-intuitive and important in neural network modelling where inhibitory inputs are often neglected.
inhibitory input the hodgkinhuxley model the fitzhughnagumo model ibf the integrate-and-fire model the if-fhn model