The article “Statistical characterization of cortical-thalamic dynamics evoked by cortical stimulation in mice” written by Nigrisoli et al. describes the creation of a new novel model for the statistical characterization of neural responses to cortical stimulation. For recording, three probes were inserted to target the motor cortex, the anterior cingulate, the somatosensory cortex, the visual cortex, and the thalamic nuclei. During the experiment, a stimulus was delivered to the secondary motor area or the primary somatosensory area. From that data, Nigrisoli et al. sought to develop a model that predicts the probability of spikes occurring following stimulation, while remaining simple and interpretable from a physiological perspective. The neural response pattern consists of an early phase and a late phase, and Nigrisoli et al. chose to use a Gaussian distribution for the early phase and a combination of curves for the late response, for a total of three components. Overall, the Nigrisoli et al model demonstrates sufficient robustness, flexibility, and accuracy, and aligns with previous research on the underlying physiology of the neural response to cortical stimulation.