The Leaky Integrate-and-Fire (LIF) neuron model is a simplified neuronal model commonly used to describe voltage changes on the cell membrane. Considering the influence of real-world environmental factors on the total input current received by neurons, we propose an uncertain LIF neuron equation driven by the Liu process, which belongs to a class of uncertain differential equations. Furthermore, analytical solutions for the uncertain LIF neuron equation are derived. To explore the sensitivity of the uncertain LIF neuron equation to initial state perturbations, we discuss many kinds of stability of the uncertain LIF neuron equation, including stability in measure, stability in distribution and stability in mean. Additionally, a paradox for the stochastic LIF neuron equation is identified.