Abstract: Neuronal noise is ubiquitous in the brain, due to stochastic ion channel fluctuations and interactions among synapses. It has been suggested that neuronal noise has important influences on the neuronal activity and information processing. However, the roles of neuronal noise in inducing transitions between neuronal oscillation patterns are still poorly understood. Hence, this paper employs an extended Hodgkin-Huxley (HH) model to simulate neuronal activities and investigate the impacts of neuronal noise on neuronal oscillation patterns. Numerical simulations show that the strength of noise intensity can induce transitions between different neuronal oscillation patterns. Specifically, enhancing the noise intensity contributes significantly to triggering multiple neuronal firing patterns. These findings may provide some new insights into the functional roles of noise in neuronal activities and may conduce to understanding the mechanisms of information processing in the brain.