Since synaptic activity patterns impinging on PCs are not fully known and since monitoring the PC dendritic response is challenging, a first insight into the way PCs respond to their inputs can be obtained using in silico simulations. Here we have faced the issue by exploiting a detailed PC model (Masoli et al., 2015) that was extended with excitatory and inhibitory synapses. This model is auto-rhythmic and its electroresponsiveness has been validated against a large set of biological experiments providing an ideal substrate to explore how intrinsic electroresponsiveness is modulated by synaptic inputs. Simulations with this PC model allowed us to face a set of questions. Does the PC model generate BPR in response to synaptic inputs? Is BPR different in Z+ and Z− PC models? Is BPR affected by the specific location of inputs on dendritic branches, as in the case of ascending axons (aa) vs. parallel fiber inputs (Sims and Hartell, 2005, 2006; Walter et al., 2009)? Is BPR different when inputs are randomly distributed rather than concentrated in limited sub-regions? What is the impact on BPR of the number of spikes and of the intensity of inhibition in the input burst? What are the mechanisms of BPR (intrinsic electroresponsiveness or synaptic inhibition) and what is the role of voltage-dependent ionic channels? Can BPR be modulated by synaptic plasticity? Simulations can provide a coherent mechanistic hypothesis on this broad range of questions that would be otherwise be hard to achieve.